Differences between monolinguals and bilinguals have been documented in neuropsychological test performance. Various explanations have been provided to explain why differences exist among these language groups. Hispanic-Americans are individuals born and reside in the United States and have a family background extending to one of the Spanish-speaking countries in Latin America or Spain. Furthermore, Hispanic-American children from Hispanic homes where Spanish is their first language find themselves academically at a disadvantage because their English vocabulary may be lower than English monolinguals. Time perspective (TP) refers to an individual’s orientation towards the past, present, or future. One’s ability to change their TP in order to adapt to changes in cultural context can result in optimal psychological well-being. In one study, researchers reported no relationship existed between ethnicity and TP on cognition. To our knowledge, no study has examined the relationship between language and TP in Hispanic-Americans’ speed attention performance. Therefore, it was predicted that monolinguals would outperform bilinguals on speed attention tasks. Next, it was predicted that monolinguals would report higher scores on future time orientation compared to bilinguals, and bilinguals would report higher scores on past and present time orientation compared to monolinguals. Finally, differences in TP would correlate with speed attention tasks between language groups.

The sample consisted of 119 Hispanic-Americans with a mean age of 19.45 (SD = 1.43). Participants were broken into three groups: English first language monolingual (EFLM), English first language bilingual (EFLB), and English second language bilingual (ESLB). The Comalli Stroop part A and B, Trail Making Test part A, and Symbol Digit Modalities Test written and oral parts were used to evaluate speed attention and the Zimbardo Time Perspective Inventory was used to evaluate time orientation in our sample.

ANOVAs revealed the EFLM group outperformed the ESLB group on the Comalli Stroop part B, p = .020, np2 = .07. Next, we also found on the Symbol Digit Modalities Test written part the EFLB group outperformed both bilingual groups, p = .025, np2 = .06. Regarding TP, the EFLB group reported higher past negative orientation compared to the EFLM group, p = .033, np2 = .06. Additionally, we found the bilingual groups reported higher present-fatalistic compared to the EFLM group, p = .023, np2 = .06. Pearson’s correlation revealed no significant correlations between TP and speed attention tasks on any of our language groups.

As expected, the EFLM group outperformed the ESLB group on several speed attention tasks, but the EFLM group only outperformed the EFLB group on the Symbol Digit Modalities Test written part. Additionally, we found that our EFLB sample reported higher orientation of the past and present compared to monolinguals. Our sample level of acculturation could have been a factor influencing the relationship between TP and speed attention. Future studies using larger representative samples should include measures of acculturation and examine if TP influences other cognitive domains (e.g., executive function) in Hispanic-American monolingual and bilingual speakers.

To investigate differences in performance on a widely used cognitive screener between community-dwelling older adults from two disparate socioeconomic groups.

Participants were part of a larger study of cognitive screening in healthy older adults. The total sample (N=79, 69.6% female, 19% White/Caucasian, 12.7% Asian, 43% Latino/a, 25.3% Black/African-American) consisted of community-dwelling adults (Mage=73.1 years [SD=7.2] and Meducation=14.3 years [SD=2.6]) who were initially recruited via social media, flyers, and general community announcements. A lack of ethnic minority participants resulted in a two-year commitment to reach communities of color via visits and provision of health literacy to local religious and community programs. Continuous contact with leaders/gatekeepers helped establish research study credibility and forge a stronger sense of trust among ethnically diverse participants in the greater Houston, TX, area. Testing was initially conducted at the clinical study site. Due to low participation rates among people of color, greater effort was placed on tailored strategies to overcome economic and time constraints (i.e., schedule/time conflicts, lack of transportation, inability to pay for parking). To fit the priorities and needs of the participants, testing was also conducted at their homes (25.3%) and nearby religious and community centers (22.8%). Participants identifying as Latino/a or Black were predominantly recruited and tested at their local community center (as requested by gatekeepers/participants) to increase access to the study, in contrast to Caucasian participants. Median income estimates were used to stratify participants by socioeconomic status (SES) based on zip codes into low SES (L-SES) or high SES (H-SES) groups.

Participants from the L-SES group had significantly lower total scores on the MoCA than their H-SES counterparts, t(77J=2.837, p=0.003, g=0.696. The average MoCA total score for participants from the L-SES group was 2.64 points lower. The observed differences in MoCA total score when stratifying by ethnicity may be attributable to differences in education level and SES, which are known risk factors for cognitive impairment and will be further examined upon recruitment completion.

Studies have found that ethnically diverse older adults not only encounter more barriers to accessing quality health care but also experience disparities in brain health research. Communities of color comprise a sizeable portion of our older adults but have been traditionally underrepresented in clinical research, limiting the generalizability of research findings to clinical treatment. Socioeconomic deprivation has been identified as one of several barriers to research engagement for people of color, placing ethnic communities at increased risk for under- or misdiagnosis and limited access to medical intervention. Preliminary findings have implications for the recruitment of ethnically diverse groups in clinical research. Given the growing racial and ethnic diversity among the United States population, we must do our due diligence to increase understanding of participation and recruitment barriers for racial/ethnic individuals. Tailored community outreach and engagement strategies may be effective in improving the inclusion of ethnically diverse populations and facilitating recruitment and retention in clinical research studies.

The Latinx population is rapidly aging and growing in the US and is at increased risk for stroke and dementia. We examined whether bilingualism confers cognitive resilience following stroke in a community-based sample of Mexican American (MA) older adults.

Participants included predominantly urban, non-immigrant MAs aged 65+ from the Brain Attack Surveillance in Corpus Christi- Cognitive study. Participants were recruited using a two-stage area probability sample with door-to-door recruitment until the onset of the COVID-19 pandemic; sampling and recruitment were then completed via telephone. Cognition was assessed with the Montreal Cognitive Assessment (MoCA; 30-item in-person, 22-item via telephone) in English or Spanish. Bilingualism was assessed via a questionnaire and degree of bilingualism was calculated (range 0%-100% bilingual). Stroke history was collected via self-report. We harmonized the 22-item to the 30-item MoCA using published equipercentile equating. We conducted a series of regressions with the harmonized MoCA score as the dependent variable, stroke history and degree of bilingualism as independent variables, and age, sex/gender, education, assessment language, assessment mode (in-person vs. phone), and self-reported vascular risk factors (hypertension, diabetes, heart disease) as covariates. We included a stroke history by bilingualism interaction to examine whether bilingualism modifies the association between stroke history and MoCA performance.

Participants included 841 MA older adults (59% women; age M(SE) = 73.5(0.2); 44% less than high school education). Most (77%) of the sample completed the MoCA in English. 93 of 841 participants reported a history of stroke. In an unadjusted model, degree of bilingualism (b = 3.41, p < .0001) and stroke history (b = -1.98, p = .003) were associated with MoCA performance. In a fully adjusted model, stroke history (b = -1.79, p = .0007) but not bilingualism (b = 0.78, p = .21) was associated with MoCA performance. When an interaction term was added to the fully adjusted model, the interaction between stroke history and bilingualism was not significant (b= -0.47, p = .78).

Degree of bilingualism does not modify the association between stroke history and MoCA performance in Mexican American older adults. These results should be replicated in samples of validated strokes, more comprehensive bilingualism and cognitive assessments, and in other bilingual populations.

Hispanics account for approximately 19% of the US population and are the second largest ethnic group in the United States, yet they remain underrepresented in neuropsychology research. Common recruitment barriers include language, fear/mistrust, and unfamiliarity with neuropsychology. These recruitment challenges then interfere with the development of measures normed on Spanish-speaking Hispanics. The research team for a Spanish-based neuropsychological study at a pediatric medical setting in North Texas utilized several methods to maximize recruitment of Hispanics and identify the most successful strategies. It was hypothesized that internal recruitment efforts would have the best outcome.

Recruitment of healthy Spanish-speaking children between 6.0 and 17.11 years old began in October 2021 and continues to date. Participants have been recruited within the Dallas Fort-Worth (DFW) metroplex using internal efforts within the pediatric medical center and external efforts in the community-at-large. Internal recruitment efforts have included: 1) setting up flyers at 19 different ambulatory clinics, 2) emailing study flyer to several internal groups, and 3) sharing information during a Hispanic workgroup meeting. Community-based efforts have included collaborating with: 1) a Spanishimmersion private elementary school (i.e., shared information with parents via email and sent flyers home with students), 2) three mental health colleagues (i.e., displayed study flyers within their clinic space and promoted study through word-of-mouth), 3) a local city council (i.e., featured flyer in electronic newsletter), and 4) a non-profit community organization (i.e., shared information and flyer through mass-text messages, social media post, and mass email to subscribers).

To date, 74 parent-child pairs have made one-time contact with the research team to inquire about the study and 55 have completed a second contact with initial screener by phone (19 lost to follow up). Of the screened families, 58% heard of the study through the non-profit organization, 31% through the Spanish-immersion private school, and 11% from internal recruitment efforts.

Although we hypothesized that internal -based recruitment within the medical institution would be most fruitful, our findings did not support this hypothesis. A possible explanation could be that children recruited from medical clinics may not meet criteria for participation in our study (i.e., healthy children). Another possible reason may be that flyer-based recruitment in a medical clinic is too passive or impersonal. Recruitment through community organizations with sources known and trusted by participants was found to be the most successful method to recruit potential participants. Considering these findings, our approach to recruitment will move away from passive and indirect methods of recruitment (i.e., flyers in clinics) and emphasize alliance with community-based organizations to promote trust building and collaborative relationships between researchers, community organizations, and Hispanic research participants.

The Cordoba Naming Test (CNT) is a 30-item confrontation naming task. The administration of the CNT can be administered in multiple languages. Hardy and Wright (2018) conditionally validated a measure of perceived mental workload called the National Aeronautic Space Administration Task Load Index (NASA-TLX). They found that workload ratings on the NASA-TLX increased with increased demands on a cognitive task. Researchers found interactions in a study examining language proficiency and language (i.e., in which the test was administered) on several tasks of the Golden Stroop Test. Their results revealed that unbalanced bilinguals’ best-spoken language showed significantly better results compared to balanced bilinguals’ where language use did not matter. To our knowledge, no study has examined the order effects of Spanish-English bilingual speakers’ CNT performance and perceived workloads when completed in Spanish first compared to English second and vice-versa. We predicted that persons that completed the CNT in English first would demonstrate better performances and report lower perceived workloads on the CNT compared to completing the CNT in Spanish second. In addition, we predicted that persons that completed the CNT in Spanish first would demonstrate worse performance and higher perceived workloads on the CNT compared to completing the CNT in English second.

The sample consisted of 62 Spanish-English healthy and neurologically bilingual speakers with a mean age of 19.94 (SD= 3.36). Thirty-seven participants completed the CNT in English first and then in Spanish (English-to-Spanish) and 25 participants completed the CNT in Spanish first and then in English (Spanish-to-English). The NASA-TLX was used to evaluate CNT perceived workloads. All the participants completed the NASA-TLX in English and Spanish after completing the CNT in the language given, respectfully. A series of paired-samples T-Tests were completed to evaluate groups CNT performance and perceived workload.

We found that the English-to-Spanish group performed better on the CNT in English first than completing it in Spanish second, p = .000. We also found that the English-to-Spanish group reported better performance and less mentally demanding on the CNT when it was completed in English first compared to completing it in Spanish second, p’s < .05. Regarding the Spanish-to-English group, we found participants performed worse when they completed the CNT in Spanish first compared to completing the CNT in English second, p = .000. Finally, the Spanish-to-English group reported worse performance completing the CNT in Spanish first, more temporal demanding, and more frustrating compared to completing the CNT in English second, p’s < .05.

As expected, when participants completed the CNT in English, regardless of the order, they performed better and reported lower perceived workloads compared to completing the CNT in Spanish. Our data suggests that language order effect influenced participants CNT performance possibly due to not knowing specific items in Spanish compared to in English. Future studies using larger sample sizes should evaluate language order effects on the CNT in Spanish-English balanced bilingual speakers compared to unbalanced bilingual speakers.

A common neuropsychological task used is the Digit Span, known as a test of attention and working memory. The Digit Span Forward (DS-F) task evaluates attention; meanwhile, the Digit Span Backward (DS-B) and Sequencing (DS-S) evaluate working memory. Research shows that persons that speak multiple languages demonstrate better attention and working memory abilities compared to monolingual speakers. The NASA Task Load Index (NASA-TLX) was conditionally validated by Hardy and Wright (2018) to measure perceived mental workload. Research also shows that bilinguals report higher perceived workloads on cognitive tasks compared to monolinguals. With that said, it was hypothesized that bilinguals would demonstrate better performances on Digit Span tasks compared to monolinguals. Additionally, it was hypothesized that bilinguals would report higher perceived workloads on all digit span tasks compared to monolinguals.

The sample consisted of 29 psychologically and neurologically healthy participants with a mean age of 29.66 (SD = 7.14). Participants were divided into two groups: English monolingual speakers (n = 10) and English and other language bilingual speakers (n = 19).

Participants completed all the subtests of the Digit Span (i.e., DS-F, DS-B, DS-S) in English. The NASA-TLX was used to measured DS-F, DS-B, and DS-S perceived workloads. The NASA-TLX was completed after each Digit Span subtest in English. We used ANOVAs to evaluate DS-F, DS-B, and DS-S performance and their perceived workload between our language groups.

We found no significant differences between language groups on the DS-F. However, the bilingual group reported the DS-F to be more temporally demanding and frustrating compared to the monolingual group, p’s < .05, nps2 =.14-.15. Next, we found that the monolingual group outperformed the bilingual group on the DS-B task, p = .027, np2 = .17. On the other hand, the bilingual group reported the DS-B task to be more temporally demanding and frustrating compared to the monolingual group, p’s < .05, nps2=.18-.20. Finally, on the DS-S task the monolingual group outperformed the bilingual group, p = .043, np2 = .14. Meanwhile, the bilingual group reported the DS-S task to be more mentally and temporally demanding compared to the monolingual group, p’s < .05, nps2=.18-.34.

Contrary to our hypothesis, results show that monolinguals outperformed bilinguals on DS-B and DS-S, but not DS-F. However, as expected, bilinguals did report higher perceived workloads (e.g., frustration) on Digit Span tasks compared to monolinguals. A possible explanation could be that bilinguals’ efforts to remember the numbers were more taxing compared to monolinguals’ because they had to inhibit from verbally responding in their other language. Rushing bilinguals to provide responses, ultimately developing higher perceived workloads on Digit Span tasks. Future work should investigate if time perspective may be influencing bilingual speakers Digit Span performances and perceived workloads.

The Cordoba Naming Test (CNT) is a 30-item lexical retrieval task that was developed to be administered in multiple languages. Research shows that self-identifying Mexicans residing in Mexico outperform self-identifying Mexicans that reside in the United States on the CNT. Studies indicate that the process of acculturation can influence cognitive performance. Previous studies demonstrated that Generation Z individuals (i.e., people born between 1997 and 2012) have underperformed on the CNT compared to Generation Y individuals (i.e., people born between 1981 and 1996). To our knowledge, no study has examined the influence of acculturation on Generation Z Mexicans’ CNT performance. We expected Mexicans residing in Mexico (MRM) to outperform Mexicans residing in the United States on the CNT and to report higher acculturation traits. We also predicted that acculturation would correlate with CNT performance.

The present study sample consisted of 285 Generation Z psychologically and neurologically healthy Mexicans with a mean age of 20.32 (SD = 1.60). Participants were divided into three groups: MRM, Mexicans residing in the United States, and Mexican-Americans residing in the United States (MARUS). All participants completed the CNT and acculturation measure in Spanish. Acculturation traits were measured by the Abbreviated Multidimensional Acculturation Scale (AMAS). ANCOVAs were used to evaluate differences in the CNT and AMAS (i.e., Spanish language, Latino competency, Latino identity). Pearson’s correlation coefficient was used to evaluate the relationship between acculturation on CNT performance.

MRM outperformed the Mexicans residing in the United States and MARUS on the CNT, p = .000, np2 = .49. The MRM group reported better Spanish language abilities compared to Mexicans residing in the United States and the MARUS groups, p = .000, np2 = .10. Additionally, MRM reported better Latino competency than the MARUS group, p = .000, np2 = .08. Pearson’s correlation coefficient revealed that the MARUS’s Spanish language abilities impacted CNT performance, p = .000, r = .48. In addition, we found that Latino competency correlated with CNT performance, p’s < .05, r’s = .20-.47, in both the MRM and Mexicans residing in the United States groups. Latino identity did not significantly correlate with CNT performance in any group.

Results confirmed that MRM individuals perform better on the CNT than Mexicans residing in the United States and MARUS. Additionally, we found that several acculturation traits correlated with Mexican groups’ CNT performance. Our research indicates that while all Generation Z individuals of Mexican heritage feel strongly connected to their Latino identity regardless of where they live, MARUS feel less competent in Spanish and Latinx culture than MRM and Mexicans residing in the United States. Future work should further explore these differences for better insight into how acculturative factors influence lexical retrieval performance. Future work with bigger sample sizes can additionally examine CNT performance and acculturation in Generation Z first-generation and non-first-generation Mexicans (e.g., second-generation, third-generation) residing in the United States.

Transcutaneous vagus nerve stimulation (tVNS) is a promising potential intervention for Alzheimer's disease (AD) due to its influence on brain functions and mechanisms important in disease progression. Regions of interest include projection to the nucleus of the solitary tract, locus coeruleus, and hippocampus. Deterioration of the hippocampus is one of the most prominent early characteristics of AD, particularly during the mild cognitive impairment (MCI) stage. tVNS could modify function of the hippocampus. We examined resting state functional connectivity from the bilateral hippocampus in response to tVNS in patients with MCI.

Fifty older adults (28 women, 60-89 years of age) diagnosed with MCI were assessed. MCI was confirmed via diagnostic consensus conference with a neurologist and neuropsychologist (sources of information: Montreal Cognitive Assessment Test [MoCA], Clinical Dementia Rating scale [CDR], Functional Activities Questionnaire (FAQ), Hopkins Verbal Learning Test - Revised [HVLT-R] and medical record review). Resting state functional magnetic resonance imaging (fMRI) was collected on a 3T Siemens Prisma scanner while participants received either unilateral tVNS (left tragus, n = 25) or sham stimulation (left ear lobe, n = 25). fMRI data were processed using CONN toolbox v18b and hippocampal seed to voxel (whole brain) analyses were conducted with voxel and cluster level multiple comparison correction.

Contrasting tVNS and sham stimulation, whole-brain seed-to-voxel analysis demonstrated significant changes in connectivity from the left hippocampus to several cortical and subcortical regions bilaterally. Specifically, there was increased connectivity to prefrontal regions and cingulate gyri, and decreased connectivity to anterior and medial temporal lobes. A seed-to-voxel analysis from the right hippocampus indicated significant decrease in connectivity to a single cluster of regions in the left anterior temporal lobe in response to tVNS.

In conclusion, tVNS modified connectivity from the hippocampus to multiple brain regions implicated in semantic and salience functions, in which disruption correlates with deterioration in AD. These findings indicate afferent target engagement of tVNS. Future work is needed to investigate the long-term effects of tVNS in patients with MCI and whether it could contribute to meaningful cognitive change and subsequent improvements in quality of life.

Autism Spectrum Disorders (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) are neurodevelopmental disorders with overlapping symptomatology and shared genetic makeup. Numerous previous studies have investigated ASD and ADHD using resting state functional networks. One functional network of particular interest is the Default Mode Network (DMN), as it has been shown to be abnormal in several mental disorders. Previous studies have investigated the DMN in ASD and ADHD separately but reported mixed trends of increased and decreased functional connectivity (FC) in the DMN in ASD and increased FC in ADHD. Additionally, little studies have investigated executive and attentional network dysfunction in the DMN for ASD and ADHD populations. To better understand the shared characteristics between ASD and ADHD, this study analyzed the DMN FC in children with ASD and ADHD.

Archival datasets from Autism Brain Imaging Data Exchange (ABIDE)-I and ADHD-200 datasets were used, with 33 ADHD, 35 ASD, and 32 typically developing (TD) males (ages = 7-17 years). After applying a standard pre-processing pipeline, 11 regions of interest (ROIs) from the Dosenbach-160 atlas were examined with 55 ROI pairs generated for the 100 subjects.

Significant differences were noted between ASD-ADHD groups in attentional networks and executive functioning networks. Specifically, significant Group x VIQ interactions were noted for FC between the following pairs of regions: medial prefrontal cortex - ventromedial prefrontal cortex, anterior cingulate cortex -ventromedial prefrontal cortex, inferior temporal lobe - ventromedial prefrontal cortex, angular -ventromedial prefrontal cortex, angular -anterior cingulate cortex, inferior temporal lobe -ventrolateral prefrontal cortex, angular -superior frontal lobe, and intraparietal sulcus -superior frontal lobe. In the above FC pairs, FC in ADHD was negatively correlated with VIQ, with no correlation for ASD and positive correlation for TD. Previous literature has indicated that ADHD individuals demonstrate increased executive functioning deficits compared to ASD individuals. This study provides evidence at a neural level for these findings by demonstrating decreased FC trends in ADHD in attentional and executive functioning networks compared to ASD individuals. Group and VIQ main effects demonstrated mixed patterns across the three groups, as well as shared decreased FC in attention/executive networks for both ASD and ADHD groups.

In summary, this study found similar findings from previous studies regarding mixed connectivity patterns, as well as shared dysfunction between ASD and ADHD groups. These results help in solidifying the theory that ASD and ADHD share clinical and neural patterns which need to be examined further. Future directions include utilizing more ASD+ADHD comorbid individuals in studies comparing ASD and ADHD FC trends as well as seeking to further understand the neuropsychological and neuroimaging profiles in ASD and ADHD.

The current research framework recommends using biomarkers to further understand Alzheimer’s disease (AD) pathogenesis, including other contributing factors like cerebrovascular disease. In longitudinal studies of people with neuropathological examination after death, baseline loneliness was associated with lower cognition, faster cognitive decline, and future AD risk, independent of AD pathology. Examination of memory impairment along with AD and cerebrovascular biomarkers, could aid risk reduction efforts earlier in the lifecourse and among populations with more exposure to loneliness. We hypothesized that loneliness is associated with amyloid, vascular, and neurodegeneration biomarkers; with worse memory; and that loneliness increases the susceptibility to biomarker-related memory impairment.

A subset of cognitively unimpaired older adults with available amyloid PET, vascular MRI (white matter hyperintensity volume, WMH), structural MRI (cortical thickness in AD signature regions), neuropsychological testing (memory factor score), dichotomized loneliness data (one item from CES-D), and relevant medical data were drawn from the community-based Washington Heights-Inwood Columbia Aging Project (WHICAP; n=169; covariates included age=81±6 years; 63% women; 49/31/20% Non-Hispanic Black/Non-Hispanic White/Hispanic; education=13±4 years; 32% APOE-e4 carriers). General linear models in the overall sample and stratified by race and ethnicity tested the association between loneliness and AD and cerebrovascular biomarkers, loneliness and memory, and the interaction of loneliness and biomarkers on memory, adjusting for covariates.

Loneliness was endorsed in 18% of participants, marginally associated with older age (2.1 [-0.2, 4.4], p=0.08), was more likely in those with untreated diabetes (13/0.1% lonely/not lonely, p=0.001), associated with lower cortical thickness (-0.05 [-0.09, -0.02], p=0.01), and associated with lower memory (0.3 [-0.6, -0.001], p=0.05). In Non-Hispanic White participants, loneliness was associated with greater WMH volume (0.5 [0.07, 0.82], p=0.03), while in Hispanic participants, loneliness was associated with lower cortical thickness (-0.16 [-0.24, -0.08], p=0.0006). In Non-Hispanic Black participants, loneliness was associated with lower memory (-13 [-26, -0.5], p=0.05), and the association between lower cortical thickness and lower memory was stronger in those that endorse loneliness (5 [0.2, 10], p=0.05). In Hispanic participants, loneliness was associated with higher memory (13 [4, 22], p=0.009), but the association between higher amyloid burden and lower memory was stronger in those that endorse loneliness (-12 [-20, -4], p=0.006); further, loneliness was marginally associated with lower memory (-0.7 [-1.4, 0.1], p=0.09), independently of WMH.

Associations between loneliness and biomarkers may relate to health seeking behavior, reported as treatment status for diabetes, for cerebrovascular burden and general neurodegeneration, but might be more complex for amyloid. The degree to which loneliness increased the susceptibility to amyloid and neurodegeneration-related, but not cerebrovascular-related, memory impairment, specifically, may suggest that domains beyond memory should be considered. Future work should be longitudinal to disentangle the effects of loneliness from related constructs like depression and anxiety, incorporate other AD biomarkers such as hyperphosphorylated tau, and incorporate biological mechanisms (e.g., stress, inflammation) into models of loneliness and AD pathogenesis. Older adults from all backgrounds may be more susceptible to loneliness, which was associated with lower memory; culturally-humble, social support-based interventions may reduce the risk of cognitive impairment.

Previous research has found that trauma is a risk factor for developing early-onset psychosis (EOP), both exhibiting widespread structural abnormalities and social cognitive dysfunction (Hoy et al., 2012; Nair et al., 2020; Rotiker et al., 2018). However, few studies have investigated the association between trauma, neural architecture, and social behaviors. The current study examines whether trauma exposure moderates the association between cortical volume and thickness and social cognition in EOP.

T1-weighted whole-brain magnetic resonance data were acquired on a 3T Siemens scanner for 23 adolescents with EOP aged 12-21 years (M = 16.12), and 20 age-matched controls (M = 17.22). Cortical volume and thickness were calculated using the Freesurfer software suite (v5.3; Reuter et al., 2012). Based on prior research, bilateral structures of interest included the rostral anterior cingulate cortex (rACC), insula, precuneus, and superior frontal cortex. Social measures included the WebCNP Emotion Recognition (KER40) and Emotion Differentiation Test (MED36) accuracy score (Gur et al., 2010), The Awareness of Social Inference Test Total Score (TASIT; McDonald et al., 2003), and Social Responsiveness Scale, 2nd Edition (SRS-2; Constantino & Gruber, 2012). Trauma exposure was assessed using the Structured Clinical Interview Diagnostic (controls n = 5; EOP n = 9; First et al., 2015). Pearson’s correlations and independent t-tests were used to examine the relationship between cortical measurements and social cognition. Additionally, PROCESS macro (Hayes, 2018) was used to examine if trauma history statistically moderated the relationship between cortical measurements and social cognition performance.

Significant group differences in SRS-2 scores were observed, as EOP participants scored 24.272 points higher than controls (t = 20.724, p < .001). Across both groups, there was a negative correlation between the SRS-2 score and precuneus volume (r = -.438, p = .011) and thickness (r = -.383, p = .028), TASIT total and superior frontal volume (r = -.349, p = .023), and KER40 and insular volume (r = -.437, p = .20). Further, the moderation analysis revealed that the relationships between precuneus volume and SRS-2 scores, precuneus thickness and MED36 scores, and rACC thickness and KER40 scores depended on experiencing trauma across both groups. Participants with trauma across groups had increased precuneus volume associated with higher SRS-2 scores (p = .0442). Experiencing trauma was also associated with lower precuneus cortical thickness and lower MED36 scores (p = .0172). Conversely, lack of trauma experience was associated with greater rACC thickness and higher KER40 scores (p = .0119).

Our findings indicate that past traumatic experiences may be a moderating factor in the relationship between atypical volume and thickness of social brain regions and social cognition. Overall, the significant interactions between trauma exposure and increased volume and thickness in both EOP and control participants were associated with increased impairment on social cognition measures. These findings emphasize the importance of accounting for the impact of early life adversities on brain development and how it may be relevant to social impairments, especially in individuals experiencing psychosis.

Rapid neurodevelopment occurs during adolescence, which may increase the developing brain’s susceptibility to environmental risk and resilience factors. Adverse childhood experiences (ACEs) may confer additional risk to the developing brain, where ACEs have been linked with alterations in BOLD signaling in brain regions underlying inhibitory control. Potential resiliency factors, like a positive family environment, may attenuate the risk associated with ACEs, but limited research has examined potential buffers to adversity’s impact on the developing brain. The current study aimed to examine how ACEs relate to BOLD response during successful inhibition on the Stop Signal Task (SST) in regions underlying inhibitory control from late childhood to early adolescence and will assess whether aspects of the family environment moderate this relationship.

Participants (N= 9,080; Mage= 10.7, range= 9-13.8 years old; 48.5% female, 70.1% non-Hispanic White) were drawn from the larger Adolescent Brain Cognitive Development (ABCD) Study cohort. ACE risk scores were created (by EAS) using parent and child reports of youth’s exposure to adverse experiences collected at baseline to 2-year follow-up. For family environment, levels of family conflict were assessed based on youth reports on the Family Environment Scale at baseline and 2-year follow-up. The SST, a task-based fMRI paradigm, was used to measure inhibitory control (contrast: correct stop > correct go); the task was administered at baseline and 2-year follow-up. Participants were excluded if flagged for poor task performance. ROIs included left and right dorsolateral prefrontal cortex, anterior cingulate cortex, anterior insula, inferior frontal gyrus (IFG), and pre-supplementary motor area (pre-SMA). Separate linear mixed-effects models were conducted to assess the relationship between ACEs and BOLD signaling in ROIs while controlling for demographics (age, sex assigned at birth, race, ethnicity, household income, parental education), internalizing scores, and random effects of subject and MRI model.

Greater ACEs was associated with reduced BOLD response in the opercular region of the right IFG (b= -0.002, p= .02) and left (b= -0.002, p= .01) and right pre-SMA (b= -0.002, p= .01). Family conflict was related to altered activation patterns in the left pre-SMA, where youth with lower family conflict demonstrated a more robust negative relationship (b=.001, p= .04). ACEs were not a significant predictor in other ROIs, and the relationship between ACEs and BOLD response did not significantly differ across time. Follow-up brain-behavior correlations showed that in youth with lower ACEs, there was a negative correlation between increased activation in the pre-SMA and less impulsive behaviors.

Preadolescents with ACE history show blunted activation in regions underlying inhibitory control, which may increase the risk for future poorer inhibitory control with downstream implications for behavioral/health outcomes. Further, results demonstrate preliminary evidence for the family environment’s contributions to brain health. Future work is needed to examine other resiliency factors that may modulate the impact of ACE exposure during childhood and adolescence. Further, clinical scientists should continue to examine the relationship between ACEs and neural and behavioral correlates of inhibitory control across adolescent development, as risk-taking behaviors progress.

Adaptive decision-making is necessary to sustain functional independence. Maladaptive decisions are among the most prevalent features of psychological and neurological disorders. One crucial aspect of decision-making involves arbitrating between exploring new avenues with risky but potentially lucrative outcomes or exploiting prior knowledge and endorsing predictable outcomes. Balancing this dichotomy creates a behavioral tension that shapes all decisions and is termed the exploration-exploitation trade-off. This trade-off has been linked to reward and affective drives and associated neural circuitry as well as neuropsychological dysfunction. However, the neural mechanisms underlying the exploration-exploitation trade-off are still uncertain, due to the scarcity of literature and the heterogeneity of paradigms. This study aimed to systematically quantify and disambiguate neuroanatomical correlates of the exploration-exploitation tradeoff in a normative adult sample. These findings provide a necessary starting point for future investigations of this fundamental aspect of decision-making across clinical populations, with potential implications for assessment and intervention.

We used the effect-location method of meta-analysis to analyze data from 10 functional neuroimaging studies investigating the exploration-exploitation tradeoff in non-clinical samples. We analyzed the location and frequency of significant neural activations across studies for both explorative and exploitative decisions and characterized them as core and non-core regions. Core activations were defined as those reported in over 50% of studies. Secondary and tertiary activations were defined as those reported in 40% and 30% of studies, respectively. The present review was conducted in accordance with the guidelines of the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.

The results revealed that explorative and exploitative choice behaviours differed markedly with respect to associated patterns of task-related brain activity. Exploration was associated with activity in brain regions implicated in externally directed, goal-based attentional processing and reward-related uncertainty, mainly tapping bilateral parietal and frontal circuitry, with relatively high consistency across studies. A core explorative network was revealed, consisting of activity in the frontal polar cortex, the dorsal anterior cingulate cortex, the bilateral medial frontal gyrus, the bilateral precuneus, and the bilateral intraparietal sulcus. Secondary and tertiary regions were also detected, including the bilateral anterior insula, the left precentral gyrus, the bilateral superior frontal gyrus, the right inferior frontal gyrus, the left supplementary motor area, the bilateral superior parietal lobule, and the bilateral thalamus. Exploitation was associated with brain regions implicated in internally directed processes including reward valuation, motivation, and memory. Core exploitative activations included the ventromedial prefrontal cortex, the bilateral anterior cingulate cortex, and the bilateral orbitofrontal cortex. Secondary and tertiary activations included the bilateral hippocampus, the left middle temporal gyrus, the bilateral angular gyrus, the left posterior cingulate cortex, the left superior frontal gyrus, and the bilateral superior temporal gyrus.

The exploration-exploitation trade-off provides a novel paradigmatic approach to study adaptive and maladaptive decision-making behaviour in humans. Our findings support the neural dichotomization of exploration and exploitation and illuminate potential neural networks underlying this fundamental feature of decision-making. Understanding these mechanistic networks opens a new avenue of inquiry into decision-making deficits in clinical populations, including neurodegenerative, neurodevelopmental, and neuropsychiatric syndromes.

Motor imagery is defined as a dynamic state during which a subject mentally simulates a given action without overt movements. Our aim was to use near-infrared spectroscopy to investigate differences in cerebral hemodynamic during motor imagery of self-feeding with chopsticks using the dominant or non-dominant hand.

Twenty healthy right-handed people participated in this study. The motor imagery task involved eating sliced cucumber pickles using chopsticks with the dominant (right) or non-dominant (left) hand. Activation of regions of interest (pre-supplementary motor area, supplementary motor area, pre-motor area, pre-frontal cortex, and sensorimotor cortex was assessed.

Motor imagery vividness of the dominant hand tended to be significantly higher than that of the non-dominant hand. The time of peak oxygenated hemoglobin was significantly earlier in the right pre-frontal cortex than in the supplementary motor area and left pre-motor area. Hemodynamic correlations were detected in more regions of interest during dominant-hand motor imagery than during non-dominant-hand motor imagery.

Hemodynamic might be affected by differences in motor imagery vividness caused by variations in motor manipulation.

Individuals with Autism Spectrum Disorder (ASD) or Early-Onset Psychosis (EOP) both experience substantial difficulties with social cognition (Spek et al. 2012; Lanillos et al. 2020); however, the impact of therapy and medication use on their social cognition has not yet been examined (Lai et al. 2014; Schiffman et al. 2018). This project will explore the effects of the history of therapy and medication use as moderating variables between neural architecture and social cognition performance.

T1-weighted imaging data were acquired on a 3T Siemens scanner for 51 ASD and EOP participants (Mean Age = 16.33), with 41 individuals endorsing history of therapy and 23 endorsing history of medication use across groups. Cortical thickness was calculated using FreeSurfer imaging analysis software (v5.3; Fischel et al., 2002) for social brain regions including inferior parietal lobe (IPL), middle temporal lobe (MPL), caudal anterior cingulate cortex (cACC), rostral anterior cingulate cortex (rACC), fusiform gyrus, precuneus cortex, and insular cortex. The Awareness of Social Inference Test (TASIT; McDonald et al., 2006) was administered to assess social cognition performance. After controlling for individuals that had a history of both therapy and medication use, Pearson's correlations were utilized to examine the relationship between cortical thickness and social cognition performance in ASD and EOP patients. The PROCESS Procedure moderation analysis in SPSS was utilized to determine if history of therapy or medication use moderated the relationship between cortical thickness and social cognition performance (Hayes, 2018).

Across groups, there was a negative association between an individual's cACC thickness and TASIT Do score (r = -.415, p = .005) as well as the total TASIT score (r = -.325, p = .031). Additionally, there was a positive association between an individual's precuneus cortical thickness and their TASIT Say score (r = .440, p = .003). Results of the moderation analyses revealed that lack of medication use was associated with greater rACC thickness and higher TASIT Say score (R2 Change = .1281 mm, p = .0191). Additionally, lack of past therapy experience was associated with greater insular thickness and higher TASIT Think scores (R2 Change = .1957 mm, p = .0033). Conversely, past therapy history was associated with greater fusiform gyrus thickness and higher TASIT Say score (R2 Change = .1115 mm, p =.0262).

Our results suggest that for individuals without a history of therapy or medication use, higher cortical thickness of the rACC and insula support better social cognition performance; whereas for individuals with past therapy experience, higher cortical thickness of the fusiform cortex underlies better social cognition performance. Collectively, these findings suggest that an individual's history of therapy or medication use may be relevant variables to consider when examining the relationship between neural cortical thickness and social cognition performance in these neuropsychiatric conditions.

Glioblastomas, Grade 4 astrocytomas, comprise about 60% of all astrocytomas and have a median survival rate between 14 and 16 months. The extent of resection impacts the prognosis, with an eloquent balance of preserving the patient's functional status. As preoperative imaging and intraoperative techniques improve to maximize safe operative resection, thorough neuropsychological evaluation can aid in assessing cognitive decline and quality of life pre- and post-treatment. In light of the tumors' progressive nature and potential presence in precarious brain locations, it is imperative that the functional burden of the various presentations of glioblastomas be understood. Given the limited data on cognitive presentations of glioblastomas, we present a case study describing a neuropsychological and neuroradiologic profile of a Grade 4 astrocytoma in a patient with a left temporal glioblastoma.

The patient signed consent for clinical evaluation and research. At the time of evaluation, he was 68 years old with a master's degree and was working at multiple start-up companies. He began noticing subtle cognitive functioning changes approximately two months prior with difficulty understanding information. His challenges progressed to difficulty composing emails, word-finding issues, and some slurring and mispronunciations. He was diagnosed with a brain tumor after an emergency MRI was performed. He participated in a neuropsychological evaluation just prior to surgery. The evaluation included a battery of neuropsychological tests examining attention, processing speed, executive functioning, learning and memory, language functioning, visuospatial functioning, motor functioning, and mood.

The imaging results revealed a non-enhancing intra-axial mass in the left superior temporal lobe with surrounding edema. Also noted were rare scattered nonspecific T2 hyperintensities. The scores showed variable motor functioning and deficits within attention for complex information, executive functioning abilities (i.e., motor planning and sequencing, phonemic fluency), language functioning, visuospatial functioning, and learning and memory of information relative to his premorbid level of functioning, indicating total brain involvement consistent with imaging findings of edema.

Taken together, the results of the evaluation and imaging were suggestive of a level of cognitive decline that is more than expected with normal aging. Moreover, there was a lack of evidence representative of a lateralized profile. Notably, the evaluation was conducted before resection surgery, and therefore, the patient continued to experience significant brain edema due to the tumor. Although medication may have contributed to dysfunction, particularly with motor and cognitive slowing, it is not likely that it explained his presentation entirely. As such, the evaluation results were suggestive of neurocognitive dysfunction, which was partially attributable to the tumor and edema displacing neuronal tissue. Given the potential for improvement following tumor resection and secondary decline resulting from recurrence or treatment, it is crucial to have a baseline and the ability to map out higher order functioning, including frontal and temporal lobe functioning. Ultimately, as the field continues to look toward long-term survival for patients with currently lethal brain tumors, the goal is to achieve maximum resection with minimal neurocognitive loss.

Neurodegeneration in Alzheimer’s disease (AD) is typically assessed through brain MRI, and proprietary software can provide normative quantification of regional atrophy. However, proprietary software can be cost-prohibitive for research settings. Thus, we used the freely available software NOrmative Morphometry Image Statistics (NOMIS) which generates normative z-scores of segmented T1-weighted images from FreeSurfer to determine if these scores replicate established patterns of neurodegeneration in the context of amnestic mild cognitive impairment (aMCI), and whether these measures correlate with episodic memory test performance.

Patients with aMCI (n = 25) and cognitively normal controls (CN; n = 74) completed brain MRI and two neuropsychological tests of episodic memory (the Rey Auditory Verbal Learning Test and the Wechsler Logical Memory Tests I & II), from which a single composite of normed scores was computed. A subset returned for follow-up (aMCI n = 11, CN n = 52) after ∼15 months and completed the same procedures. T1-weighted images were segmented using FreeSurfer v6.0 and the outputs were submitted to NOMIS to generate normative morphometric estimates for AD-relevant regions (i.e., hippocampus, parahippocampus, entorhinal cortex, amygdala) and control regions (i.e., cuneus, lingual gyrus, pericalcarine gyrus), controlling for age, sex, head size, scanner manufacturer, and field strength. Baseline data were used to test for differences in ROI volumes and memory between groups and to assess the within-group associations between ROI volumes and memory performance. We also evaluated changes in ROI volumes and memory over the follow-up interval by testing the main effects of time, group, and the group X time interactions. Lastly, we tested whether change in volume was associated with declines in memory.

At baseline, the aMCI group performed 2 SD below the CN group on episodic memory and exhibited smaller volumes in all AD-relevant regions (volumes 0.4 - 1.2 SD below CN group, ps < .041). There were no group differences in control region volumes. Memory performance was associated with volumes of the AD-relevant regions in the aMCI group (average rho = .51) but not with control regions. ROI volumes were not associated with memory in the CN group. At follow-up, the aMCI group continued to perform 2 SD below the CN group on episodic memory tests; however, change of performance over time did not differ between groups. The aMCI group continued to exhibit smaller volumes in all AD-relevant regions than the CN group, with greater declines in hippocampal volume (17% annual decline vs. 8% annual decline) and entorhinal volume (54% annual decline vs. 5% annual decline). There was a trending Group X Time interaction such that decrease in hippocampal volume was marginally associated with decline in memory for the aMCI group but not the CN group.

Normative morphometric values generated from freely available software demonstrated expected patterns of group differences in AD-related volumes and associations with memory. Significant effects were localized to AD-relevant brain regions and only occurred in the aMCI group. These findings support the validity of these free tools as reliable and cost-effective alternatives to proprietary software.

Obesity is associated with adverse effects on brain health, including increased risk for neurodegenerative diseases. Changes in cerebral metabolism may underlie or precede structural and functional brain changes. While bariatric surgery is known to be effective in inducing weight loss and improving obesity-related medical comorbidities, few studies have examined whether it may be able to improve brain metabolism. In the present study, we examined change in cerebral metabolite concentrations in participants with obesity who underwent bariatric surgery.

35 patients with obesity (BMI > 35 kg/m2) were recruited from a bariatric surgery candidate nutrition class. They completed single voxel 1H-proton magnetic resonance spectroscopy at baseline (pre-surgery) and within one year post-surgery. Spectra were obtained from a large medial frontal brain region. Tissue-corrected absolute concentrations for metabolites including choline-containing compounds (Cho), myo-inositol (mI), N-acetylaspartate (NAA), creatine (Cr), and glutamate and glutamine (Glx) were determined using Osprey. Paired t-tests were used to examine within-subject change in metabolite concentrations, and correlations were used to relate these changes to other health-related outcomes, including weight loss and glycemic control.

Bariatric surgery was associated with a reduction in cerebral Cho (f[34j = -3.79, p < 0.001, d = -0.64) and mI (f[34] = -2.81, p < 0.01, d = -0.47) concentrations. There were no significant changes in NAA, Glx, or Cr concentrations. Reductions in Cho were associated with greater weight loss (r = 0.40, p < 0.05), and reductions in mI were associated with greater reductions in HbA1c (r = 0.44, p < 0.05).

Participants who underwent bariatric surgery exhibited reductions in cerebral Cho and mI concentrations, which were associated with improvements in weight loss and glycemic control. Given that elevated levels of Cho and mI have been implicated in neuroinflammation, reduction in these metabolites after bariatric surgery may reflect amelioration of obesity-related neuroinflammatory processes. As such, our results provide evidence that bariatric surgery may improve brain health and metabolism in individuals with obesity.

The stria terminalis (ST) is a white matter tract with connections to limbic and autonomic brain structures that is implicated in affective functioning. Recent works suggests that ST functional integrity and connectivity is associated with faster responses to emotional cues (Dzafic et al., 2019) and may be influenced by environmental factors including socioeconomic status (SES) and childhood adversity (Banihashemi et al., 2020). The role of the ST in the experience of more daily affective experiences, such as depressive symptoms, remains unexplored. Therefore, the present study examined the role of the ST and SES, as assessed by household income, in the relationship between age and depressive symptoms in typically developing children and adolescents.

Participants include 64 typically developing children and adolescents age 8-21 (Mage=13.27, SD=3.15) who participated in an ongoing study of development of neurocognitive and social-cognitive skills. Participants completed imaging on a 3Tesla MR Siemens PRISMA scanner. Tractography was executed via ENIGMA tract-based spatial statistics to quantify WM integrity and provided values for mean fractional anisotropy (mFA) of the ST. Depressive symptoms were measured with the Behavior Assessment Scale for Children-Third Edition (BASC-3) parent report scale, and annual family income was obtained per parent report. Mediation and moderation analyses were conducted using Process version 4.1 (Hayes, 2022) in SPSS version 28. As depression symptoms are often higher in early adolescence than later, we examined the indirect effect of age on depressive symptoms through ST mFA and evaluated this relationship at different levels of family income.

Age was associated with lower levels of depressive symptoms (b=-.98, t=-2.18, p<.05), whereas greater right ST mFA was associated with higher levels of depressive symptoms (b=42.05, t=2.50, p<.05). Right ST mFA explained significant variance in the relationship between age and parent-reported depression (ab=.13, 95% CI [.02, .29]). The conditional indirect effect of family income was significant for children with annual family incomes between 25-50k (effect=.16, 95% CI [.01, .38]) and 75-100k (effect=.13, 95% CI [.001, .31]), but not for 100k+ (effect=.11, 95% CI [-.05, .33]).

The present study revealed a significant, positive relationship between white matter integrity in the right ST and parent-reported depressive symptoms in healthy children and young adults. Finding extend on prior work implicating the ST in threat responsivity (Dzafic et al., 2019). Moreover,results suggest the role of the ST in the relationship between age and depression depends on level of family income, such that ST mFA explains more variance at lower income levels, and is no longer significant for children from families with income greater than 100k. These findings support the notion that environmental stressors (such as lower family income) may strengthen ST pathways via activity-dependent plasticity and repeated, coordinated activation (Rinaman et al., 2011). Future studies should examine these brain-behavior associations, as they may replicate in a larger sample, with more nuanced indicators of environmental stress.

Functional magnetic resonance imaging (fMRI) research has generally focused on drawing conclusions from average brain activation patterns. Importantly, the brain is inherently variable; growing literature has found that within-individual blood oxygen level-dependent (BOLD) signal variability may be meaningful, and not just “noise.” For example, recent research has identified increased BOLD signal variability in healthy younger and older adults during more effortful/complex task loads of n-back paradigms, commonly used tasks that involve important elements of executive function (e.g., attention, working memory, planning, inhibition, etc.). Verbal fluency is a complex cognitive domain that also involves similar processes to generate words given certain rules. As a result, the current study builds on existing literature to investigate within-individual BOLD signal variability patterns in peak coordinates of a verbal fluency network during different loads of a letter n-back task. Due to greater executive demands, greater variability was expected during more effortful/complex n-back task loads in regions of a verbal fluency network.

Forty-eight healthy young adults (Mage(SD) = 22.41(4.47), 25 females) from the Atlanta area completed a letter n-back task in an MRI scanner. After standard processing in AFNI, images were corrected for motion and physiological artifacts, which may be confounding sources of variability. Volumes associated with each load of the letter n-back task (0-back, 1-back, 2-back, 3-back, crosshair) were identified. Task runs were normalized and respective run means were subtracted prior to concatenating all runs for each load type. Standard deviations were calculated across this mean-run corrected time series. Ten peak regions of interest (ROIs) were identified from a verbal fluency network generated from 84 peer-reviewed publications for this domain gathered on NeuroSynth. Paired samples t-tests with Benjamini-Hochberg correction for multiple comparisons were conducted to explore differences in variability during n-back task loads.

In several of the verbal fluency network ROIs, within-individual BOLD signal variability was significantly greater for 2-back versus 0-back loads with medium to large effect sizes (p’s < .001 - < .01, Cohen’s d range: .53-.93). Variability was also significantly greater for 3-back versus 0-back loads with small to medium effect sizes (p’s < .001 - < .01, Cohen’s d range: .48-.74). Specific regions that evidenced this pattern included ROIs in the left inferior frontal gyrus, left cingulate, right inferior frontal gyrus, left middle frontal gyrus, and left superior parietal lobule. Only two regions demonstrated increased variability in the 1-back load versus crosshair (left middle frontal gyrus, p < .001, d = .63; left lentiform nucleus, p < .05, d = .42). No regions demonstrated a significant difference in variability in the 0-back load versus crosshair.

This study contributes to growing literature examining within-individual BOLD signal variability in healthy individuals by exploring variability patterns in a verbal fluency network. The observed pattern of results supports the hypothesis and is in line with previous research, demonstrating that greater variability occurs with greater executive task demands. Future research can use an inscanner task of verbal fluency and can extend variability findings during this in-scanner task to out-of-scanner measures of verbal fluency.