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Patients unsuccessfully treated by neurostimulation may represent a highly intractable subgroup of depression. While the efficacy of intravenous (IV) ketamine has been established in patients with treatment-resistant depression (TRD), there is an interest to evaluate its effectiveness in a subpopulation with a history of neurostimulation.
This retrospective, posthoc analysis compared the effects of four infusions of IV ketamine in 135 (x̄ = 44 ± 15.4 years of age) neurostimulation-naïve patients to 103 (x̄ = 47 ± 13.9 years of age) patients with a history of neurostimulation. The primary outcome evaluated changes in depression severity, measured by the Quick Inventory for Depression Symptomatology-Self Report 16-Item (QIDS-SR16). Secondary outcomes evaluated suicidal ideation (SI), anxiety severity, measured by the Generalized Anxiety Disorder 7-Item (GAD-7), and consummatory anhedonia, measured by the Snaith–Hamilton Pleasure Scale (SHAPS).
Following four infusions, both cohorts reported a significant reduction in QIDS-SR16 Total Score (F (4, 648) = 73.4, P < .001), SI (F (4, 642) = 28.6, P < .001), GAD-7 (F (2, 265) = 53.8, P < .001), and SHAPS (F (2, 302) = 45.9, P < .001). No between-group differences emerged. Overall, the neurostimulation-naïve group had a mean reduction in QIDS-SR16 Total Score of 6.4 (standard deviation [SD] = 5.3), whereas the history of neurostimulation patients reported a 4.3 (SD = 5.3) point reduction.
IV ketamine was effective in reducing symptoms of depression, SI, anxiety, and anhedonia in both cohorts in this large, well-characterized community-based sample of adults with TRD.
Higher body mass index (BMI) has been found to predict greater antidepressant response to intravenous (IV) ketamine treatment. We evaluated the association between BMI and response to repeat-dose IV ketamine in patients with treatment-resistant depression (TRD).
Adults (N = 230) with TRD received four infusions of IV ketamine at a community-based clinic. Changes in symptoms of depression (ie, Quick Inventory for Depressive Symptomatology-Self-Report 16; QIDS-SR16), suicidal ideation (SI; ie, QIDS-SR16 SI item), anxiety (ie, Generalized Anxiety Disorder-7 Scale), anhedonic severity (ie, Snaith–Hamilton Pleasure Scale), and functioning (ie, Sheehan Disability Scale) following infusions were evaluated. Participants were stratified by BMI as normal (18.0-24.9 kg/m2; n = 72), overweight (25-29.9 kg/m2; n = 76), obese I (30-34.9 kg/m2; n = 47), or obese II (≥35.0 kg/m2; n = 35).
Similar antidepressant effects with repeat-dose ketamine were reported between BMI groups (P = .261). In addition, categorical partial response (P = .149), response (P = .526), and remission (P = .232) rates were similar between the four BMI groups.
The findings are limited by the observational, open-label design of this retrospective analysis. Pretreatment BMI did not predict response to IV ketamine, which was effective regardless of BMI.
We aim to evaluate the effect of caloric restriction (CR) in cognition by comparing performance in neuropsychological tests for working memory between a group of non-obese healthy subjects doing CR for 2 years with another consuming ad libitum diet (AL).
This study was part of a larger multicenter trial called CALERIE that consisted of a randomized clinical trial with parallel-group comparing 2 years of 25% CR and AL in 220 volunteers with a BMI between 22 and 28 kg/m2, across 3 sites. The cognitive tests used were the Cambridge Neuropsychological Tests Automated Battery (CANTAB) for Spatial Working Memory (SWM) including the total number of errors (SWMTE) and strategy (SWMS). Included as possible moderators were sleep quality, mood states, perceived stress, and energy expenditure. Analyses were performed at baseline and months 12 and 24.
After adjustments, there was a significantly greater improvement in working memory assessed by the SWM for CR individuals, compared to AL. At month 24, it was related mostly to lower protein intake, compared to other macronutrients. Changes in SWM were moderated by changes in sleep quality, physical activity, and energy expenditure.
On the long term, CR in healthy individuals seems to have a slightly positive effect on working memory. The study of brain CR targets opens new possibilities to prevent and treat cognitive deficits.
Cognitive dysfunction is a symptomatic domain identified across many mental disorders. Cognitive deficits in individuals with major depressive disorder (MDD) contribute significantly to occupational and functional disability. Notably, cognitive subdomains such as learning and memory, executive functioning, processing speed, and attention and concentration are significantly impaired during, and between, episodes in individuals with MDD. Most antidepressants have not been developed and/or evaluated for their ability to directly and independently ameliorate cognitive deficits. Multiple interacting neurobiological mechanisms (eg, neuroinflammation) are implicated as subserving cognitive deficits in MDD. A testable hypothesis, with preliminary support, posits that improving performance across cognitive domains in individuals with MDD may improve psychosocial function, workplace function, quality of life, and other patient-reported outcomes, independent of effects on core mood symptoms. Herein we aim to (1) provide a rationale for prioritizing cognitive deficits as a therapeutic target, (2) briefly discuss the neurobiological substrates subserving cognitive dysfunction, and (3) provide an update on current and future treatment avenues.
Obesity is becoming an increasing problem worldwide. In addition to causing many physical health consequences, there is increasing evidence demonstrating that obesity is toxic to the brain and, as such, can be considered a disease of the central nervous system. Peripheral level regulators of appetite, such as leptin, insulin, ghrelin, and cholecystokinin, feed into the appetite center of the brain, which is controlled by the hypothalamus, to maintain homeostasis and energy balance. However, food consumption is not solely mediated by energy balance, but is also regulated by the mesolimbic reward system, where motivation, reward, and reinforcement factors influence obesity. The purpose of this review is to highlight the neurobiology of eating behavior and obesity and to describe various neurobiological treatment mechanisms to treat obesity.