Mild traumatic brain injury (mTBI), depression, and posttraumatic stress disorder (PTSD) are a notable triad in Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn (OEF/OIF/OND) Veterans. With the comorbidity of depression and PTSD in Veterans with mTBI histories, and their role in exacerbating cognitive and emotional dysfunction, interventions addressing cognitive and psychiatric functioning are critical. Compensatory Cognitive Training (CCT) is associated with improvements in areas such as prospective memory, attention, and executive functioning and has also yielded small-to-medium treatment effects on PTSD and depressive symptom severity. Identifying predictors of psychiatric symptom change following CCT would further inform the interventional approach. We sought to examine neuropsychological predictors of PTSD and depressive symptom improvement in Veterans with a history of mTBI who received CCT.

37 OEF/OIF/OND Veterans with mTBI history and cognitive complaints received 10-weekly 120-minute CCT group sessions as part of a clinical trial. Participants completed a baseline neuropsychological assessment including tests of premorbid functioning, attention/working memory, processing speed, verbal learning/memory, and executive functioning, and completed psychiatric symptom measures (PTSD Checklist-Military Version; Beck Depression Inventory-II) at baseline, post-treatment, and 5-week follow-up. Paired samples t-tests were used to examine statistically significant change in PTSD (total and symptom cluster scores) and depressive symptom scores over time. Pearson correlations were calculated between neuropsychological scores and PTSD and depressive symptom change scores at post-treatment and follow-up. Neuropsychological measures identified as significantly correlated with psychiatric symptom change scores (p^.05) were entered as independent variables in separate multiple linear regression analyses to predict symptom change at post-treatment and follow-up.

Over 50% of CCT participants had clinically meaningful improvement in depressive symptoms (>17.5% score reduction) and over 20% had clinically meaningful improvement in PTSD symptoms (>10-point improvement) at post-treatment and follow-up. Examination of PTSD symptom cluster scores (re-experiencing, avoidance/numbing, and arousal) revealed a statistically significant improvement in avoidance/numbing at follow-up. Bivariate correlations indicated that worse baseline performance on D-KEFS Category Fluency was moderately associated with PTSD symptom improvement at post-treatment. Worse performance on both D-KEFS Category Fluency and Category Switching Accuracy was associated with improvement in depressive symptoms at post-treatment and follow-up. Worse performance on D-KEFS Trail Making Test Switching was associated with improvement in depressive symptoms at follow-up. Subsequent regression analyses revealed worse processing speed and worse aspects of executive functioning at baseline significantly predicted depressive symptom improvement at post-treatment and follow-up.

Worse baseline performances on tests of processing speed and aspects of executive functioning were significantly associated with improvements in PTSD and depressive symptoms during the trial. Our results suggest that cognitive training may bolster skills that are helpful for PTSD and depressive symptom reduction and that those with worse baseline functioning may benefit more from treatment because they have more room to improve. Although CCT is not a primary treatment for PTSD or depressive symptoms, our results support consideration of including CCT in hybrid treatment approaches. Further research should examine these relationships in larger samples.

Neuropsychiatric symptoms due to Alzheimer’s disease (AD) and mild cognitive impairment (MCI) can decrease quality of life for patients and increase caregiver burden. Better characterization of neuropsychiatric symptoms is needed to identify effective treatment targets. The current investigation leveraged the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS) to examine the network structure of neuropsychiatric symptoms among symptomatic older adults with cognitive impairment.

The identified sample includes those from the NACC UDS (all versions) with complete data on the Neuropsychiatric Inventory Questionnaire (NPI-Q) at initial visit. The NPI-Q is an informant-based estimation of the presence and severity of neuropsychiatric symptoms (delusions, hallucinations, agitation or aggression, depression or dysphoria, anxiety, elation or euphoria, apathy or indifference, disinhibition, irritability or lability, motor disturbance, nighttime behaviors, appetite and eating problems). The following inclusionary criteria were applied for sample identification: age 50+; cognitive status of MCI or dementia; AD was the primary or contributing cause of observed impairment; and at least one symptom on the NPI-Q was endorsed. Participants were excluded if they endorsed “unknown” or “not available” on any NPI-Q items. The final sample (n = 12,507) consisted of older adults (Mage=73.94, SDage=9.41; 46.2% male, 53.8% female) who predominantly identified as non-Hispanic white (NHW) (74.5% NHW, 10.9% non-Hispanic Black, 8.5% other, 5.8% Hispanic white, .3% Hispanic Black). The majority of the sample met criteria for dementia (77.6% dementia, 22.4% MCI) and AD was the presumed primary etiology in 93.9%.

The eLasso method was used to estimate the binary network, wherein nodes represent NPI-Q variables and edges represent their pairwise dependency after controlling for all other symptom variables in the network. In other words, the network represents the conditional probability of an observed binary variable (e.g., presence/absence of delusions) given all other measured variables (e.g., presence/absence of all other NPI-Q symptoms) (Finnemann et al., 2021; van Borkulo et al., 2014). Strength centrality and expected influence were calculated to determine relative importance of each symptom variable in the network. Network accuracy was examined with methods recommended by Epskamp et al. (2018), including edge-weight accuracy, centrality stability, and difference tests.

Edge weights and node centrality (CS(cor=.7)=.75) were stable and interpretable. The network (M=.28) consisted of mostly positive edges and some negative edges. The strongest edges linked nodes within symptom domain (e.g., strong positive associations among externalizing symptoms). Disinhibition and agitation/aggression were the most central and influential symptoms in the network, respectively. Depression or dysphoria was the most frequently endorsed symptom, followed by anxiety, apathy or indifference, and irritability or lability.

Endorsed disinhibition and agitation yielded a higher probability of additional neuropsychiatric symptoms and influenced the activation, persistence, and remission of other neuropsychiatric symptoms within the network. Thus, interventions targeting these symptoms may lead to greater neuropsychiatric symptom improvement overall. Depression or dysphoria, while highly endorsed, was least influential in the network. This may suggest that depression and dysphoria are common, but not central neuropsychiatric features of AD pathology. Future work will compare neuropsychiatric symptom networks across racial and ethnic groups and between MCI and dementia.

Around 200,000 veterans (up to 32% of those deployed) of the 1991 Gulf War (GW) suffer from GW veterans’ illness (GWVI). GWVI is a poorly understood chronic medical condition, characterized by symptoms indicative of brain function deficits in multiple domains. Among the symptoms of brain impairment GWVI-related chronic headaches and body muscle and joint pain conditions (GWVI-HAP) are the most debilitating, affecting around 64% of the GWVI veterans. Further, depression carries a very high co-morbid rate (>50%) in patients with chronic pain, including GWVI-HAP. In this preliminary study, we examined the integrity of brain function networks in a group of GWI-HAP veterans, with resting state fMRI (rsfMRI).

Data from the first twenty-two GWVI-HAP veterans from two ongoing parallel clinical trials was examined. Of these 14 subjects (GWVI-HAP-DM) had mild depression (Hamilton Rating Scale for Depression (HSRD < 13); and 8 subjects (GWVI-HAP-DS) had moderate to severe depression (HSRD > 14). Written informed consent was obtained from all participants in the protocol approved by the local Institutional Review Board. RsfMRI data was acquired on a Siemens 3T Prisma-Fit MRI scanner using a 10-minute whole-brain high resolution simultaneous multi-slice (SMS) gradient echo echo-planar imaging (EPI) sequence: TR/TE/FA = 2.2 sec/ 27 msec/80°, and analyzed with well-established image processing pipelines. Functional connectivity (FC) to different regions implicated in depression and chronic pain was assessed with seed-based correlation analysis. Between group differences in FC were obtained with 2-sample t-tests.

GWVI-HAP-DS group exhibited significantly (p < 0.05) reduced FC compared to GWVI-HAP-DM between frontal lobe (medial (mPFC), and dorsolateral (dlPFC) prefrontal cortex) and the striatum. This indicates that malfunction of fronto-striatal circuits could be a source of the increased chronic pain and depression seen in veterans with GWVI- HAP-DS. Dysregulation of fronto-striatal networks has been implicated in major depressive disorder as well as many chronic pain conditions. In addition, FC between mPFC, and salience network (SN; anterior insula and dorsal anterior cingulate) and limbic (subgenual and ventral anterior cingulate) regions were also reduced in GWVI-HAP-DS. Similarly, mPFC and SN also exhibited reduced FC to pain processing regions (posterior insula, centromedian thalamus and cerebellum). These FC impairments could reflect greater deficits in regulation of and salience attribution to emotions and nociception in the GWVI-HAP-DS group. Finally, GWVI-HAP-DS also exhibited reduced FC between nodes of the default mode network. DMN impairments also have been observed in many depressive and chronic pain conditions.

The results of this preliminary analysis implicate impairments in cognitive control of emotion and nociception as a mechanism underlying the enhanced chronic pain and depression observed in GWVI-HAP veterans, especially those with moderate to severe depression. A fuller picture of deficits in FC in brain function networks is expected to emerge as more GWI-HAP subjects of both groups along with age matched healthy controls are examined in this ongoing project. Better understanding of impairments in these networks in GWI-HAP will benefit the rehabilitation of veterans with GWI-HAP.

Machine learning studies of PTSD show promise for identifying neurobiological signatures of this disorder, but studies to date have largely excluded Black American women, who experience disproportionately greater trauma and have relatively higher rates of PTSD. PTSD is characterized by four symptom clusters: trauma reexperiencing, trauma avoidance, hyperarousal, and anhedonia. A prior machine learning study reported successful PTSD symptom cluster severity prediction using functional MRI data but did not examine white matter predictors. White matter microstructural integrity has been related to PTSD presence and symptoms, and unexplored metrics such as estimates of tract shape may provide unique predictive utility. Therefore, this study examines the relationship between white matter tract shape and PTSD symptom cluster severity amongst trauma-exposed Black American women using multiple machine learning models.

Participants included 45 Black American women with PTSD (Mage=40.4(12.9)) and 89 trauma-exposed controls (Mage=39.8(11.6)). Shape and diffusion metrics for the cingulum, corpus callosum, fornix, inferior longitudinal fasciculus, superior longitudinal fasciculus, and uncinate fasciculus were calculated using deterministic tractography. Current symptom severity was calculated using the PTSD Symptom Scales. Input features included tract metrics, questionnaire responses, and age. The following regression models were generated: least absolute shrinkage and selection operator (LASSO), ridge, elastic net, and gaussian process (GPR). Additionally, two forms of latent-scale GPR, one without (lsGPR) and with (sp-lsGPR) node selection via spike and slab priors, were calculated. The performance of regression models was estimated using mean square error (MSE) and R2.

sp-lsGPR performed at or above other models across all symptom clusters. LASSO models were comparable to sp-lsGPR for avoidance and hyperarousal clusters. Ridge regression and GPR had the weakest performance across clusters. Scores for sp-lsGPR by cluster are as follows: reexperiencing Mmse =0.70(0.17), Mr2=0.56(0.13); avoidance Mmse =0.75(0.17), Mr2= 0.51(0.13); hyperarousal Mmse =0.57(0.18), Mr2=0.66(0.12); anhedonia Mmse =0.74(0.27), Mr2=0.57(0.13). The top three ranked posterior inclusion probabilities for white matter tracts across sp-lsGPR models include four sections of the cingulum, three sections of the corpus callosum, the right fornix, the left inferior longitudinal fasciculus, the first segment of the right superior longitudinal fasciculus, and the right uncincate fasciculus. The greatest posterior inclusion probability value for the sp-lsGPR models was the left frontal parahippocampal cingulum for the hyperarousal cluster.

Results support the combined predictive utility of white matter metrics for brain imaging regression models of PTSD. Results also support the use of sp-lsGPR models, which are designed to balance interpretable linear models and highly-flexible non-linear models. The sp-lsGPR model performance was similar across clusters but was relatively better for the hyperarousal cluster. This finding contrasts with prior machine learning work using functional data which was unable to predict hyperarousal scores above chance (MR2=0.06). These diverging findings highlight the importance of examining both functional and structural data in PTSD populations. Differing findings may also be related to sample characteristics as the prior study was conducted in China. Black American women and Chinese individuals have unique lived experiences that may differentially impact brain structure and function. Future work should continue to include diverse research samples to account for such experiences.

Most emotion perception assessments were developed in western societies using English terms and Caucasian faces, so the extent to which they are cross-culturally valid is in question. To sort this, understanding the mechanisms of cultural variations is the key. In the past half-century, cross-cultural differences in perceiving facial emotions have been consistently reported and discussed, advancing knowledge to feed theoretical and practical interests. However, as these studies are heterogeneous in the questions asked and methods used, without understanding their association, we cannot provide a clear answer to the simple question: why do people from different cultures perceive facial emotions differently? This limitation represents a bottleneck for adapting western clinical assessments cross-culturally to suit the increasing trend of globalisation in research and testing. To address this issue, we conducted a systematic review aiming to reveal the effect of culture on emotion perception from past cross-cultural studies on healthy people. We expected this review to bridge findings in basic research and clinical application.

The systematic review followed the framework outlined in Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We searched five databases using three groups of keywords. We included all peer-reviewed original studies that 1) conducted cross-cultural comparison in facial emotion perception with healthy adults and 2) used a design that allowed identifying specific mechanisms to explain cultural variations.

The qualitative data synthesis included three steps: 1) categorising eligible studies according to the type of cross-cultural differences they investigated, 2) summarising the findings of each cluster, and 3) summarising the mechanisms revealed by the findings.

We found the 122 eligible articles clustered into five groups that investigated 1) how race and in-group and out-group status affected facial emotion perception; 2) cultural differences in using context to identify facial expressions; 3) cultural differences in emotion conceptualisation and how they affected facial emotion perception; 4) cultural differences in interpreting facial muscle configurations; 5) how culture interacted with the inference making process.

Seven mechanisms underlying cultural variations in facial emotion perception were revealed. These are facial emotion templates, emotion conceptualisation, in/out-group differentiation, information surveying strategies, belief that expressers are independent agents, reliance on the face and other emotion expressing channels, and stereotypes. The relative importance of these factors may depend on the cultures chosen to compare and the situational settings that affect how they work together in real life.

This review, for the first time, systematically addresses the mechanisms underlying cross-cultural differences in facial emotion perception. Besides advancing knowledge about this rapidly growing area, it guides what needs to be considered when designing new tests, adapting existing tests, and assessing the risk of bias brought about by cross-cultural issues.

Both Apolipoprotein z4 (APOz4) and Brain-Derived Neurotropic Factor val66met (BDNF-met) have been implicated as cognitive risk polymorphisms and may signal a more rapid trajectory of cognitive decline (Boots et al., 2017; Lim et al., 2015). The presence of both risk alleles may additively result in greater cognitive difficulties (Cechova et al., 2020), specifically executive functioning (Sapkota et al., 2017). As executive functioning difficulties can be associated with Posttraumatic Stress Disorder (PTSD; Woon et al., 2017), individuals with PTSD who carry these polymorphisms may be at higher risk for decline in executive functioning. In this study, we examined the cross-sectional and longitudinal impact of these alleles on executive functioning performance in Veterans with PTSD.

Seventy community-dwelling male Veterans were enrolled as part of a larger study at VAPAHCS and consented to genetic analysis. A current or lifetime history of PTSD (score > 40 on the CAPS-IV; Blake et al., 1995) was required for study participation. Trail Making Test B (TMT-B; Army Individual Test Battery, 1994) was used to assess executive functioning. TMT-B was part of a comprehensive neuropsychological battery administered at baseline and yearly over the following three years. Mean age and education were 61 years old (SD = 4.5; range = 55-78) and 14 years (SD = 2.3; range = 8-20), respectively.

The majority of the sample was White (71%) and were from the Korean and Vietnam War eras.

APOz4 and BDNF-met were present in 29% and 27% of the sample, respectively; both were present in six participants. Regression models were fitted separately for TMT-B raw time-to-complete and number of errors, both cross-sectionally at screening and then longitudinally. The presence of BDNF-met was a significant predictor of TMT-B time and number of errors in both models (Time: ß = 0.09, p = 0.03 and ß = 0.11, p < 0.01; Errors: IRR = 2.4, p = 0.01 and IRR = 1.9, p = 0.01), while APOz4 only predicted errors longitudinally (IRR = 1.8, p = 0.03). There was no significant allelic interaction; however, the presence of both alleles additively multiplied TMT-B errors by approximately 3.7 times at screening (IRR = 3.7; p = 0.01) and 3.3 times longitudinally (IRR = 3.3; p < 0.01).

Altogether, these results are suggestive of an adverse, additive, effect of the APOz4 and BDNF-met polymorphisms on executive functioning, in particular error-proneness, with their combined presence tripling the errors made on TMT-B cross-sectionally and longitudinally. Consistent with previous research, the TMT-B error analysis increases detection of cognitive impairment, similar to other clinical samples (Varjacic et al., 2018). While TMT-B errors are typically interpreted qualitatively, the strong effect of these established risk alleles on error rates further support this metric as a clinically useful indicator of executive dysfunction in a PTSD population. In keeping with the Boston Process approach, these findings support the importance of error analysis in clinical interpretation of neuropsychological performance.

The influence of prior knowledge on new learning is well established. However, there has been less research dedicated to teasing apart the key components of prior knowledge’s structure that contribute to memory enhancement. In the current study, we focused on event structures, which include various relations, such as associative, causal, and temporal. Given that events possess attributes relevant to numerous cognitive memory processes, we were most interested in exploring how event structures that possess causal relations enhance new memory formation. Specifically, we examined whether events that exhibit causal associative relations provide an additional boost to new learning compared to event structures with non-causal associative relations.

Forty-six undergraduate students took part in the study. Participants’ learning of the content of image pairs that exhibit everyday, real-world events were measured using a cued recall paradigm. The stimuli consisted of 60 image pairs that illustrated two events that were related causally and associatively (i.e., causal pairs); related only associatively (i.e., non-causal pairs); or not related at all (i.e., unrelated pairs). During an encoding phase, image pairs were presented one at a time, and after the presentation of each image pair, participants answered an encoding question that focused on the relationship between the two images. After the encoding phase and a short filler task, participants were shown a cue image (always the first picture from the pair) and were asked to provide a brief written description of the content of the second presented image from each pair. Also, as a manipulation check, we asked subjects to rate each image pair on causal direction and association strength after completion of the cued recall memory task.

We found that, relative to unrelated pairs, events that possess associative relations (i.e., both causal and non-causal items) benefit learning of new information. In addition, causal relations provided an additional boost to new learning. Specifically, cued recall performance is best for causal pairs, followed by non-causal pairs and unrelated pairs. Moreover, causal direction ratings significantly predict overall itemlevel accuracy above and beyond general associative relations that exist in events. We also examined recall accuracy for specific content information within each event (i.e., agent, action, object) and found that causal relations uniquely contribute to recall performance of objects and actions.

Overall, the present study’s findings suggest that prior event knowledge structures possessing causal and non-causal associative relations support new learning, especially compared to image pairs with no relations. Of interest, causality provides an additional boost to new learning above and beyond general associative relations. By focusing on the role of causality in event structures, our findings informed our understanding of how prior knowledge supports new learning. Considering that the effect of prior knowledge on new episodic learning is especially evident in older adults, since they more readily rely on their schematic knowledge, a future direction would entail investigating how causal links influence new memory formation in older adults.

Context-Dependent Effect (CDE) is a process by which restoring the original learning context enhances recall ability of the material being studied. One type of context is body expressions. Memory is one of the most common areas affected by Traumatic Brain Injury (TBI). However, although the performance of people with TBI is lower than that of healthy people in most memory-related parameters, both groups show evidence for CDE. We examined the CDE via behavioral and eye movement measures.

Twenty-four healthy individuals and 27 patients with moderate-tosevere TBI participated in a memory task. Participants were exposed to pictures of people with neutral facial expression and neutral body expression and were asked to remember them for a subsequent memory test. In the testing session, they were asked to determine whether or not the person presented to them had appeared before, under two conditions: (1) where the context remains constant (facial expression and body expression remained neutral- the Repeat condition) (2) where the context changes (facial expression remained neutral and the body changed to angry or happy expression - the Re-pair condition).

While memory of the individuals with TBI was poorer than that of the control group, both groups exhibited CDE, as this effect was stronger in the Repeat condition compared to the Re-pair angry condition. We found that participants spent most of their time looking at the head. In addition, in both groups, we found a CDE and a group effect with regard to the difference in Dwell Time, so DT toward faces in the Repeat condition was higher than toward faces in the Re-pair condition. Also, DT toward correctly recognized people was higher among the control group than the TBI group. This effect appeared in the study and test phases.

This study supports previous research showing evidence for CDE using body expression in the TBI group, like the control group, and extends our comprehension of the relationship between eye movements, memory, and context of facial and body expression.

Executive functions have been shown to predict prospective memory (PM) performance (Martin, Kliegel, & McDaniel, 2003). PM performance has also been associated with retrospective memory and working memory (Smith, 2003; McDaniel & Einstein, 2000). We investigated the association between PM performance and cognitive domains (executive functions, episodic memory, working memory) in adults at 40 years.

The participants (n = 470, age 40) were part of a longitudinal study including a cohort with a history of a birth risk (eg. asphyxia, low birth weight, hyperbilirubinemia) prospectively followed since birth and controls without birth risks. PM performance was assessed using the new Finnish Proper Prospective Memory Test (PROPS) offering a score for laboratory tasks and naturalistic tasks separately, for event-based PM (EBPM) and time-based PM (TBPM) performance, and a total score. Composite scores of three cognitive domains - executive functions, episodic memory, working memory -were formed by converting raw scores of nine cognitive test (e.g. the Wechsler subtests, the Stroop test, the Trail Making Test) to z scores, summed up and averaged. We calculated Spearman’s correlation coefficient between the five PROPS scores and the composite scores of the cognitive domains.

The episodic memory domain score correlated significantly with the PROPS laboratory tasks (rs = .23, p = < .01), naturalistic tasks, (rs = .13, p = < .01), the total score (rs = .23, p = < .01), EBPM (rs = .25, p = < .01), and TBPM (rs = .15, p = < .01). The executive functions domain score correlated with the PROPS laboratory tasks (rs = .17, p = < .01), the total score (rs = .16, p = < .01) and EBPM (rs = .20, p = < .01). The associations between the working memory domain and the PROPS test varied, in the laboratory setting (rs = .14, p = < .01), in the total score (rs = .13, p = < .01) and in EBPM (rs = .21, p = < .01). Furthermore, the composite score of the combined episodic memory and executive functions domains correlated significantly with the PROPS test in the laboratory setting (rs = .25, p = < .01), in the total score (rs = .25, p = < .01) and in EBPM (rs = .28, p = < .01).

The combination of the episodic memory domain and the executive functions domain was most associated with PM performance measured with the new Finnish Prospective Memory test (PROPS). Only the episodic memory domain was linked with the PROPS tasks in the naturalistic setting. Although the episodic memory domain was more associated with PM performance, the results support the multidomain nature of PM functions.

Prospective memory (PM) tasks are common in everyday life and have been implicated in optimal daily functioning. However, less is known about the parameters of PM tasks that most influence functional decline, as well as the domains of everyday functioning most sensitive to PM impairment. The present study sought to examine these questions in individuals with traumatic brain injury (TBI).

Participants included 30 adults with chronic moderate-to-severe TBI who were at least one year removed from their injury (median [IQR] = 8.1 years [10.8]). Participants completed the Memory for Intentions Test (MIST), which is a 30-minute task that assesses time- and event-based PM with varying cue-intention delay length (2 versus 15 min) in the context of an ongoing task. Total scores were generated for each delay length and cue type. Additionally, participants completed a comprehensive neuropsychological battery, including assessments of processing speed, executive functions, attention, working memory, verbal fluency, and episodic learning and memory. Participants also completed questionnaires of self-reported cognitive and everyday functioning, including the Functional Behavior Profile (FBP), Prospective and Retrospective Memory Questionnaire (PRMQ) and a modified Lawton & Brody Instrumental Activities of Daily Living (IADL) Scale, which separately assessed 11 domains of everyday functioning.

Pearson’s r correlations revealed that total number of domains showing decline on the modified Lawton & Brody IADL scale was strongly correlated with MIST 15-min delay (MIST-15; r=-0.503, p=0.005), such that worse PM performance on long delay items was associated with more domains of IADL decline; this relationship was also reflected in the MIST Total Score (r=-0.389; p=0.033). No other MIST index was associated with IADL decline (ps>0.10). MIST-15 did not significantly correlate with any other measure of self-reported functioning (PRMQ, FBP; all ps>0.10), but was associated with specific declines in buying groceries (p=0.009), performing home repairs (p=0.021), shopping (p=0.033), and doing laundry (p=0.035). Relationships at a trend level included declines in housekeeping (p=0.05), managing finances (p=0.097), cooking (p=0.092), and taking medication (p=0.066). To determine specificity of the relationship between MIST-15 and everyday functioning, a linear regression was conducted using covariates that were significantly correlated with total number of domains of IADL decline (i.e., Selective Reminding Test total learning trials, CVLT-II Long Delay Free Recall, Symbol Digit Modalities Test total). This regression was statistically significant [F(4,24)=4.263; p=0.10; R2=0.415), and MIST-15 remained an independent predictor (p=0.047; R2 change=0.107).

Results suggest that the ability to remember to carry out intended actions after longer delay periods may be uniquely related to severity of declines in everyday functioning. Longer PM delays place higher demands on both memory and executive processes, as the encoded intention must survive a longer decay wherein monitoring for the appropriate cue is extended, and likely better mimic PM tasks in daily life (e.g., remembering to pick up milk after the workday). In light of these findings, clinicians may seek to include brief trials of long delay PM tasks as part of a comprehensive battery to screen for functional decline.

Evidence suggests that the most consistent cognitive impairment found in individuals experiencing posttraumatic stress disorder symptomology is verbal memory impairment (Johnsen & Asbjornsen, 2008). More specifically, research has shown that patients with PTSD perform poorer on verbal memory tasks relating to logical (story) memory than on word memory tasks, such as CVLT-III (Barrera-Valencia et al., 2017). While recent literature accounts for memory impairments related to PTSD, less is known about this relationship for individuals with mere trauma exposure compared to individuals without trauma exposure. The present research aims to determine if there is a significant impact on WMS-LM when compared to CVLT-III for individuals in a community sample that have been exposed to a traumatic event in their lifetime.

One hundred nineteen patients presented to a community-based practice for neuropsychological evaluation. Patients were screened for trauma exposure during a clinical interview. Immediate and long delay trials of Wechsler Memory Scale IV Logical Memory (WMS-LM) were used to examine structured learning and memory and the California Verbal Learning Test (CVLT-II) immediate and long delay recalls were used to examine unstructured learning and memory. Out of the 119 patients, 36 patients reported trauma exposure. Twenty-five were diagnosed as “normal,” 62 were diagnosed with mild cognitive impairment, and 32 were diagnosed with dementia. A one-way MANOVA was conducted to examine the relationship across the multiple dependent variables.

There was a statistically significant difference in immediate recall in memory based on exposure to trauma, F (2, 116) = 3.28, p < .05; Wilk’s A = 0.947, partial n2 = .53, such that individuals with trauma exposure performed better. For long delay recall performance, there was a similar trend though it did not reach statistical significance F (2, 114) = 3.03, p = .052; Wilk’s A = 0.949, partial n2 = .51.

Data showed that patients who reported trauma exposure scored significantly higher on immediate recall performance on CVLT and WMS-LM than those who did not report trauma exposure. Although research suggests that patients who were exposed to trauma often experience cognitive deficits on verbal memory tasks, evidence also shows that trauma exposure can lead to higher immediate recall performance in memory related to attentional allocation modeling (Hayes et al., 2012).

Given the results of the clinical trials for the disease-modifying therapy for Alzheimer's disease and its mechanism of action, it is necessary to start at the early stage as soon as possible. To this end, there is a need for a tool that allows easy periodic home assessment of memory change from the early stages of the disease. The purpose of this study is to establish a new method of memory evaluation showing well- correlated with Logical Memory (LM) II subtest score of the WMS-R and that, at the same time, can be done easily in a short time.

The subjects were 85 subjects (including 12 MCI, 8 AD, and 65 age people with normal cognitive function). In the new method, 8-picture recall and 16-word recognition were assessed, respectively, and the index was calculated by adding up the ratio ofcorrect responses to both tests (max point is two). The correlation with the LM II score was examined.

Our statistical analysis showed that 8-picture recall (R=0.872, p<0.001) and the index (R=0.857, p<0.001) showed a significantcorrelation with the LMII score. On the other hand, the 16-word regression and LM II score was R = 0.691(p<0.001), relatively lower than the other two scores, because this task may have been higher than the true ability due to the false recognition of words that were not there.

Our new method can easily predict the LM II score of WMS-R in about one third of the time required by conventional methods. We named this index as Self Assessment Memory Scale (SAMS), and are planning to develop a digital tool to enable easy andself-accessible evaluation of recall.

Cognitive impairment is an often-overlooked issue that non-CNS cancer survivors face. Our current understanding of their issues is lacking, as traditional memory sum scores grant us little insight into the underlying cognitive processes of memory and its impairment. We can improve the informativity of memory impairment studies by isolating which cognitive processes are impaired.

Participants were breast cancer survivors who received chemotherapy (n=68), and women controls (n=157). The participants completed the Amsterdam Cognition Scan (ACS), in which classical neuropsychological tests are digitally recreated for online at-home administration. Online administration reduces the burden on patients and allows for recording measurements with greater precision. The specific test used to illustrate the effectiveness of our computational modeling approach was the ACS equivalent of the Rey Auditory Verbal Learning Test, in which participants are tasked with recalling a list of 15 words five times. We formulated a Hierarchical Bayesian Cognitive Model to replace traditional sum scores and disentangle performance into the more theoretically meaningful concepts of 'memory storage’ and 'memory retrieval'.

A traditional analysis of the sum of trials 1-5 indicated no significant difference between patients and controls (t(223)=-0.99, p = 0.323), with a small effect size (Cohen’s d = -0.14).

For the newly isolated cognitive process “memory storage”, a non-significant difference was found between patients and controls (d=0.10, 95% credible interval on Cohen’s d: [0.25, 0.43]). On the “memory retrieval” process, a medium significant difference was found between patients and controls (d = -0.57, 95% credible interval on Cohen’s d: [-1.00, -0.19]).

The results indicate that the impaired memory processes in cancer patients are not a general impairment across all memory functions, but rather a selective impairment of memory retrieval. Our method of analysis revealed information that would have been left unnoticed had we relied on traditional sum over trials 1-5.

Nonpathological aging has been linked to decline in both verbal and visuospatial memory abilities in older adults. Disruptions in resting-state functional connectivity within well-characterized, higherorder cognitive brain networks have also been coupled with poorer memory functioning in healthy older adults and in older adults with dementia. However, there is a paucity of research on the association between higherorder functional connectivity and verbal and visuospatial memory performance in the older adult population. The current study examines the association between resting-state functional connectivity within the cingulo-opercular network (CON), frontoparietal control network (FPCN), and default mode network (DMN) and verbal and visuospatial learning and memory in a large sample of healthy older adults. We hypothesized that greater within-network CON and FPCN functional connectivity would be associated with better immediate verbal and visuospatial memory recall. Additionally, we predicted that within-network DMN functional connectivity would be associated with improvements in delayed verbal and visuospatial memory recall. This study helps to glean insight into whether within-network CON, FPCN, or DMN functional connectivity is associated with verbal and visuospatial memory abilities in later life.

330 healthy older adults between 65 and 89 years old (mean age = 71.6 ± 5.2) were recruited at the University of Florida (n = 222) and the University of Arizona (n = 108). Participants underwent resting-state fMRI and completed verbal memory (Hopkins Verbal Learning Test - Revised [HVLT-R]) and visuospatial memory (Brief Visuospatial Memory Test - Revised [BVMT-R]) measures. Immediate (total) and delayed recall scores on the HVLT-R and BVMT-R were calculated using each test manual’s scoring criteria. Learning ratios on the HVLT-R and BVMT-R were quantified by dividing the number of stimuli (verbal or visuospatial) learned between the first and third trials by the number of stimuli not recalled after the first learning trial. CONN Toolbox was used to extract average within-network connectivity values for CON, FPCN, and DMN. Hierarchical regressions were conducted, controlling for sex, race, ethnicity, years of education, number of invalid scans, and scanner site.

Greater CON connectivity was significantly associated with better HVLT-R immediate (total) recall (ß = 0.16, p = 0.01), HVLT-R learning ratio (ß = 0.16, p = 0.01), BVMT-R immediate (total) recall (ß = 0.14, p = 0.02), and BVMT-R delayed recall performance (ß = 0.15, p = 0.01). Greater FPCN connectivity was associated with better BVMT-R learning ratio (ß = 0.13, p = 0.04). HVLT-R delayed recall performance was not associated with connectivity in any network, and DMN connectivity was not significantly related to any measure.

Connectivity within CON demonstrated a robust relationship with different components of memory function as well across verbal and visuospatial domains. In contrast, FPCN only evidenced a relationship with visuospatial learning, and DMN was not significantly associated with memory measures. These data suggest that CON may be a valuable target in longitudinal studies of age-related memory changes, but also a possible target in future non-invasive interventions to attenuate memory decline in older adults.

Cognitive dysfunction is prominent in homeless and precariously housed persons, and memory dysfunction is the most pervasive domain. The presence of multimorbid physical and mental illness suggests that several underlying mechanisms of memory impairment may be at play. The serial position phenomenon describes the tendency to best recall the beginning (primacy effect) and last (recency effect) words on a supra-span wordlist. Recency recall engages executive and working-memory systems, whereas primacy recall depends on long-term memory. This study investigates memory dysfunction in a homeless and precariously housed sample by identifying and characterizing unique subtypes of serial position profiles on a test of verbal memory.

Data were used from a 20-year study of homeless and precariously housed adults recruited from an impoverished neighbourhood in Vancouver, Canada. Participants were sub-grouped according to their serial position profile on the Hopkins Verbal Learning Test-Revised using a latent profile analysis (LPA; n = 411). Paired samples t-tests were conducted to determine differences in percent recall from each word-list region within classes. Linear regression analyses were used to examine between-class differences in mean serial position scores and other cognitive measures (memory, attention, processing speed, cognitive control). Covariates included age, sex, and education.

LPA identified two profiles characterized by (1) reduced primacy relative to recency (RP; n = 150); and (2) reduced recency relative to primacy (RR; n = 261). Pairwise comparisons within the RP class showed that recency was better than primacy (p < .001, d = .66) and middle recall (p < .001, d = .52), with no difference between primacy and middle recall (p = .68, d = .04). All pairwise comparisons differed within the RR class (primacy > middle recall: p < .001, d = 1.85; primacy > recency recall: p < .001, d = 1.32; middle > recency recall: p < .05, d = .132). The RP class had worse performance on measures of total immediate (ß = .47, p < .001) and delayed verbal recall (ß = .32, p < .001); processing speed (ß = .20, p < .001); and cognitive control (ß = .22, p < .001). The RR class made more repetition errors (ß = .25, p < .001).

These findings support substantial heterogeneity in memory functioning in homeless and precariously housed individuals. The RP profile was characterized by poorer cognitive functioning across several domains, which suggests multiple contributions to memory impairment, including dysfunction of long-term memory circuitry. The RR profile with their higher number of repetition errors, may experience difficulties with self-monitoring in verbal learning. Subsequent studies will explore the neurobiological underpinnings of these subgroups to further characterize profiles and identify targets for cognitive intervention.

Metamemory is a component of metacognition that includes both the knowledge of factors that affect memory (i.e., declarative metamemory) and knowledge and application of factors in one's own learning and recall performance (i.e., procedural metamemory; Kreutzer et al., 1975). Previous researchers have examined children's metamemory through interviews and found that metamemory abilities are positively associated with age and performance on memory measures (see Godfrey et al., 2022 for review). However, there is not yet a standardized measure to evaluate children's metamemory. The current study aimed to examine the psychometric characteristics of a declarative metamemory questionnaire, the Measure of Metamemory (MoM-10), for children ages 6-12 years old. Based on previous research, we hypothesized that performance on the MoM-10 would not be associated with sex but would be positively associated with age and learning and memory performance.

A total of 75 English-speaking typically developing children between the ages of 6 to 12 years old were recruited for the current study (M age=9.1+1.92; females 49%). Participants completed the MoM-10 which assessed declarative metamemory via 10 multiple choice questions (accuracy score of 0 or 1 points per question) and required participants to provide an explanation for their multiple-choice answer (explanation score of 0, 1, or 2 points per question). The metamemory questionnaire provided two outcome variables: an Accuracy score of 10 possible points, and an Explanation score of 20 possible points. Additionally, participants completed a 3-trial pictorial learning/memory task which provided an Immediate Recall score and Delayed Recall score.

As hypothesized, there were no sex differences on the MoM-10 Accuracy scores (t(73)=0.71, p=0.48) or Explanation scores (t(73)=-73, p=0.47). Consistent with our hypothesis, age was significantly associated with Accuracy (r=0.31, p<0.01) and Explanation scores (r=0.79, p<0.001). Internal consistency of the MOM-10 was moderate for the Explanation score (Cronbach's alpha=0.68) and low for the Accuracy score (KR-20=0.54). Lastly, after controlling for age, participants' MoM-10 Accuracy score was significantly associated with Immediate Recall (r=0.32, p<0.01) on the learning/memory task and the Explanation scores were significantly associated with the Immediate Recall (r=0.36, p<0.01) and Delayed Recall scores (r=0.32, p<0.01) on the learning/memory task.

The current study presents an initial review of psychometric properties of a metamemory questionnaire for children ages 6 to 12 years old. Additionally, as hypothesized, these results suggest the MOM-10 performance is significantly positively associated with participants' age and immediate and delayed recall performance on a pictorial learning/memory task. These associations provide lines of evidence for convergent validity given the expected maturation of metamemory with both age and with improvements in actual memory performance. However, based on the low internal consistency of the accuracy scores, further refinement will be explored including possibly rephrasing questions from the current item set or perhaps excluding current items in future use of the scale.

To create a standardized scoring procedure to evaluate open-ended responses as part of a novel questionnaire (Measure of Metamemory; MoM) designed to assess declarative metamemory in youth. Metamemory is an aspect of metacognition that is one’s knowledge of the factors related to storage and retrieval of information (Flavell 1971; Kreutzer et al., 1975), and includes both declarative metamemory (i.e., one’s knowledge about factors influencing memory) and procedural metamemory (i.e., one’s understanding of their own memory performance).

Fourteen short vignettes related to memory were administered to 100 participants (age 6-12) with questions such as, “Two children hear a story they must remember. The first person is 5 years old. The second person is 12 years old. Who is most likely to remember it best?” After answering, they were then prompted to explain their answer (i.e., “Why?”) and their responses were recorded verbatim. To develop standardized and objective criteria for each of the 14 open-ended responses, responses from a subsample of 20 youth were collectively examined by the study team and a scoring structure similar to open-ended items on common intelligence tests (e.g., WISC-V/WAIS-IV) was created. Two points (full credit) were awarded for complete and thorough understanding of memory processes related to the question; 1 point was given for partially accurate or incomplete understanding of the related memory process; and 0 points for an inability to correctly express an understanding of relevant memory concepts. This scoring guide was then applied independently by each of the six raters to an additional 25 participants (ages 6-12 mean age (SD)). To assess the interrater reliability of this 3-point ordinal scoring system, we examined both Fleiss’ kappa and 2-way random-effects, single-rater, absolute agreement Intra-Class Correlations (ICC).

Across the six independent raters, reliability coefficients for each of the 14 items ranged from (Fleiss') k =. 277 to .792 (ICC ranged from .481 to .880). Of these 14 items, the kappa value was classified (using interpretation rules for Cohen’s kappa) as “substantial” for 10 items, “moderate” for 3 items, and “fair” for 1 item. Based on these lower inter-rater reliabilities, two items were subsequently removed from the measure to create the 12-item open-ended measure of metamemory, the MoM-12, with reliable scoring for youth as young as 6 years old.

A consensus process established a quantifiable scoring procedure to assess open-ended responses related to youth’s knowledge of memory (e.g., metamemory). Reliability metrics identified acceptable interrater reliabilities in 12 of the 14 original items. Further examination of psychometric properties, including internal consistency and lines of evidence for validity is needed. The successful crafting of a scoring procedure is a first step towards developing a psychometrically sound measure (the MoM) to evaluate and study metamemory concepts objectively and reliably in youth.

While previous research has repeatedly indicated that greater BMI was associated with reduced cognitive performance, emerging literature on BMI and cognition in late life (age 65 and above) shows conflicting results. Recent studies (Luchsinger et al., 2013; Arvanitakis, Capuano, Bennett, & Barnes, 2018) have found that high BMI was associated with improved processing speed and verbal memory performance in older adults, but further research is needed to examine this relationship across additional aspects of cognition. The current study aims to build upon recent literature by exploring the relationship between BMI and four cognitive domains across the adult age span.

Adults between the ages of 25-84 (n=217) were recruited for the Loma Linda University Healthy Avocado Trial study. Participants had a mean age of 49.61 (SD=13.13), mean education of 14.66 years (SD=2.44), and a mean BMI of 33.87 (SD=5.48). Cognition was measured using a two-hour neurocognitive battery divided into four discrete domains: attention/working memory (Digit Span, Auditory Consonant Trigrams), processing speed (Trail Making Test Part A, Stroop Color, Stroop Word, Symbol Digit Modalities Test), executive function (FAS/Phonemic Fluency, Stroop Word-Color, Trail Making Test Part B), and learning/memory (Rey Auditory Verbal Learning Test [RAVLT], Brief Visuospatial Memory Test-Revised [BVMT-R]). Individual test scores were standardized around the sample means and standard deviations, and cognitive domain scores were calculated as an average of the relevant standardized scores; a global cognition score represents the average of tests across all four domains. Participants were divided into three age groups (25-40, 41-60, and 61-84). Correlational analyses were performed between BMI and cognitive domain scores within each age group, while controlling for age, sex, and education.

No significant correlations were observed between BMI and any of the cognitive domains among adults aged 25-40 and 41-60. Among adults aged 61-84, a significant association was found between BMI and learning and memory (r=0.390, p=0.011). An examination of individual subtests within the domain revealed significant positive correlations between BMI and RAVLT short delay recall (r=0.338, p=0.029) and long delay recall (r=0.353, p=0.022), and between BMI and BVMT-R immediate- (r=0.351, p=0.023) and delayed recall (r=0.332, p=0.032). A trend for the association between BMI on global cognition was also observed in the oldest age group (r=0.275, p=0.078). No significant associations were observed between BMI and the domains of attention/working memory, processing speed, or executive function.

No significant associations were observed between BMI and cognitive performance among young- and middle-aged adults. However, among older adults aged 6184, higher BMI was associated with higher scores on both verbal and nonverbal learning & memory. These findings support the 'obesity paradox,' suggesting that increased BMI may be protective for elderly adults. Multiple explanations for this relationship have been proposed, including the role of BMI in the body’s inflammatory response system, as well as observations of dementia-related weight loss. Further research is needed to determine whether BMI has a protective benefit, or if it is simply a clinical marker of underlying disease.

Previous research evidences men, on average, perform better than women on nonverbal tasks. Conversely, literature evidences women, on average, perform better on memory tasks. Proposed explanations for this discrepancy include, increased parietal lobe volume to hormonal differences. Some research also suggests men have greater working memory (WM) abilities than women on tasks involving holding visual information. As such, it is possible more robust WM performance in men may translate to better performance on nonverbal tasks with an immediate and delayed visual memory component. The current study examined if WM performance moderates the relationship between sex and nonverbal learning and memory in a community clinic population of older adults referred for cognitive concerns.

Data was drawn from archival medical records of patients who underwent neuropsychological assessment in an outpatient, community clinic after being referred for cognitive concerns in the context of a variety of neurodegenerative and neurological conditions. Records of patients between the ages of 65 and 91 who completed the Brief Visuospatial Memory Test (BVMT-R) and WAIS-IV Digit Span (DS) were selected from the broader clinic sample of patients seen between 2019 and 2022. The total sample consisted of 302 older adults with a mean age of 75.11 (SD=6.06) and an average of 15.54 years of education (SD=2.51); 145 (48%) were women. Hierarchical regression analyses were used to examine the effects of sex, WM, and the interaction between sex and WM on BVMT learning and memory scores, while controlling for age and education. An independent samples t-test was also computed to examine sex differences on DS working memory scores.

The optimal linear combination of sex, WM, and the interaction between sex and WM accounted for 24.7% of the variance in BVMT total learning scores (F(5, 296)=20.79, p>0.05). There were no significant main effects of sex or the interaction between sex and WM on nonverbal learning or nonverbal memory (p>0.05). However, a strong trend was observed for the effect of sex on nonverbal memory (B=-0.69, t(5)=-1.91, p=0.057). A main effect of WM on nonverbal learning (B=0.42, 95% CI [0.25, 0.59], p<0.05) and memory (B=0.21, 95% CI [0.12, 0.29], p<0.05) was observed. Sex differences on WM measures were not observed (p>0.05).

Significant main effects of sex on nonverbal learning and memory were not found, though strong trends were observed between sex and nonverbal memory performance. While the relationships between WM and nonverbal learning and memory were trending toward significance, the predicted sex differences on WM performance were not found. The trend toward significance observed between sex and nonverbal memory may be the “carryover” effect from ancillary spatial skills that prior research has shown to be more robust amongst men, including mental rotation and visual construction. Findings from the current study align with the BVMT-R technical manual, which reported no significant contribution from sex in any learning or recall scores within their normative sample.