Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

{"title":"Metabolic Status Modulates Global and Local Brain Age Estimates in Overweight and Obese Adults","authors":"Shalaila S. Haas ,&nbsp;Fahim Abbasi ,&nbsp;Kathleen Watson ,&nbsp;Thalia Robakis ,&nbsp;Alison Myoraku ,&nbsp;Sophia Frangou ,&nbsp;Natalie Rasgon","doi":"10.1016/j.bpsc.2024.11.017","DOIUrl":"10.1016/j.bpsc.2024.11.017","url":null,"abstract":"<div><h3>Background</h3><div>As people live longer, maintaining brain health becomes essential for extending health span and preserving independence. Brain degeneration and cognitive decline are major contributors to disability. In this study, we investigated how metabolic health influences the brain age gap estimate (brainAGE), which measures the difference between neuroimaging-predicted brain age and chronological age.</div></div><div><h3>Methods</h3><div>K-means clustering was applied to fasting metabolic markers including insulin, glucose, leptin, cortisol, triglycerides, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol, steady-state plasma glucose, and body mass index of 114 physically and cognitively healthy adults. The homeostatic model assessment for insulin resistance served as a reference. T1-weighted brain magnetic resonance imaging was used to calculate voxel-level and global brainAGE. Longitudinal data were available for 53 participants over a 3-year interval.</div></div><div><h3>Results</h3><div>K-means clustering divided the sample into 2 groups, those with favorable (<em>n</em> = 58) and those with suboptimal (<em>n</em> = 56) metabolic health. The suboptimal group showed signs of insulin resistance and dyslipidemia (false discovery rate–corrected <em>p</em> &lt; .05) and had older global brainAGE and local brainAGE, with deviations most prominent in cerebellar, ventromedial prefrontal, and medial temporal regions (familywise error–corrected <em>p</em> &lt; .05). Longitudinal analysis revealed group differences but no significant time or interaction effects on brainAGE measures.</div></div><div><h3>Conclusions</h3><div>Suboptimal metabolic status is linked to accelerated brain aging, particularly in brain regions rich in insulin receptors. These findings highlight the importance of metabolic health in maintaining brain function and suggest that promoting metabolic well-being may help extend health span.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 3","pages":"Pages 278-285"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142775640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Guide for Authors","authors":"","doi":"10.1016/S2451-9022(25)00044-8","DOIUrl":"10.1016/S2451-9022(25)00044-8","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 3","pages":"Pages A5-A10"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolism Matters in Mental Health","authors":"Zachary Freyberg ,&nbsp;Judith M. Ford ,&nbsp;Mary L. Phillips","doi":"10.1016/j.bpsc.2024.12.009","DOIUrl":"10.1016/j.bpsc.2024.12.009","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 3","pages":"Pages 239-240"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional Connectivity Between Glutamate Receptor Antagonism and Insulin Pathways: Implications for Modeling Mechanism of Action of Ketamine/Esketamine and Dextromethorphan in Depression Treatment","authors":"Sabrina Wong ,&nbsp;Gia Han Le ,&nbsp;Rodrigo B. Mansur ,&nbsp;Joshua D. Rosenblat ,&nbsp;Roger S. McIntyre","doi":"10.1016/j.bpsc.2024.10.004","DOIUrl":"10.1016/j.bpsc.2024.10.004","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 3","pages":"Pages 241-243"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142514582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Linking Mitochondrial Dysfunction, Neurotransmitter, and Neural Network Abnormalities and Mania: Elucidating Neurobiological Mechanisms of the Therapeutic Effect of the Ketogenic Diet in Bipolar Disorder","authors":"Zachary Freyberg ,&nbsp;Ana C. Andreazza ,&nbsp;Colleen A. McClung ,&nbsp;Mary L. Phillips","doi":"10.1016/j.bpsc.2024.07.011","DOIUrl":"10.1016/j.bpsc.2024.07.011","url":null,"abstract":"<div><div>There is growing interest in the ketogenic diet as a treatment for bipolar disorder (BD), and there are promising anecdotal and small case study reports of efficacy. However, the neurobiological mechanisms by which diet-induced ketosis might ameliorate BD symptoms remain to be determined, particularly in manic and hypomanic states—defining features of BD. Identifying these mechanisms will provide new markers to guide personalized interventions and provide targets for novel treatment developments for individuals with BD. In this critical review, we describe recent findings highlighting 2 types of neurobiological abnormalities in BD: 1) mitochondrial dysfunction and 2) neurotransmitter and neural network functional abnormalities. We link these abnormalities to mania/hypomania and depression in BD and then describe the biological underpinnings by which the ketogenic diet may have a beneficial effect in individuals with BD. We end the review by describing approaches that can be employed in future studies to elucidate the neurobiology that underlies the therapeutic effect of the ketogenic diet in BD. Doing this may provide marker predictors to identify individuals who will respond well to the ketogenic diet, as well as offer neural targets for novel treatment developments for BD.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 3","pages":"Pages 267-277"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141763219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reward Neurocircuitry Predicts Longitudinal Changes in Alcohol Use Following Trauma Exposure","authors":"Cecilia A. Hinojosa ,&nbsp;Sanne J.H. van Rooij ,&nbsp;Negar Fani ,&nbsp;Robyn A. Ellis ,&nbsp;Nathaniel G. Harnett ,&nbsp;Lauren A.M. Lebois ,&nbsp;Timothy D. Ely ,&nbsp;Tanja Jovanovic ,&nbsp;Vishnu P. Murty ,&nbsp;Stacey L. House ,&nbsp;Francesca L. Beaudoin ,&nbsp;Xinming An ,&nbsp;Thomas C. Neylan ,&nbsp;Gari D. Clifford ,&nbsp;Sarah D. Linnstaedt ,&nbsp;Laura T. Germine ,&nbsp;Scott L. Rauch ,&nbsp;John P. Haran ,&nbsp;Alan B. Storrow ,&nbsp;Christopher Lewandowski ,&nbsp;Jennifer S. Stevens","doi":"10.1016/j.bpsc.2024.09.015","DOIUrl":"10.1016/j.bpsc.2024.09.015","url":null,"abstract":"<div><h3>Background</h3><div>Trauma is a risk factor for developing maladaptive alcohol use. Preclinical research has shown that stress alters the processing of midbrain and striatal reward and incentive signals. However, little research has been conducted on alterations in reward-related neurocircuitry posttrauma in humans. Neuroimaging markers may be particularly useful because they can provide insight into the mechanisms that may make an individual vulnerable to developing trauma-related psychopathologies. In this study, we aimed to identify reward-related neural correlates associated with changes in alcohol use after trauma exposure.</div></div><div><h3>Methods</h3><div>Participants were recruited from U.S. emergency departments for the AURORA study (<em>n</em> = 286; 178 female). Trauma-related change in alcohol use at 8 weeks posttrauma relative to pretrauma was quantified as a change in 30-day total drinking per the PhenX Toolkit Alcohol 30-Day Quantity and Frequency measure. Reward-related neurocircuitry activation and functional connectivity were assessed 2 weeks posttrauma using functional magnetic resonance imaging during a monetary reward task using region of interest and whole-brain voxelwise analyses.</div></div><div><h3>Results</h3><div>Greater increase in alcohol use from pretrauma to 8 weeks posttrauma was predicted by 1) greater ventral tegmental area, 2) greater cerebellum activation during gain &gt; loss trials measured 2 weeks posttrauma, and 3) greater seed-based functional connectivity between the ventral tegmental area and lateral occipital cortex and precuneus.</div></div><div><h3>Conclusions</h3><div>Altered ventral tegmental area activation and functional connectivity early posttrauma may be associated with reward seeking and processing, thereby contributing to greater alcohol use posttrauma. These data provide novel evidence of neural correlates that underlie increased alcohol use early posttrauma that may be targeted via early interventions to prevent the development of maladaptive alcohol use.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 3","pages":"Pages 314-323"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antipsychotic-Induced Dysregulation of Glucose Metabolism Through the Central Nervous System: A Scoping Review of Animal Models","authors":"Emily Au ,&nbsp;Kristoffer J. Panganiban ,&nbsp;Sally Wu ,&nbsp;Kira Sun ,&nbsp;Bailey Humber ,&nbsp;Gary Remington ,&nbsp;Sri Mahavir Agarwal ,&nbsp;Adria Giacca ,&nbsp;Sandra Pereira ,&nbsp;Margaret Hahn","doi":"10.1016/j.bpsc.2024.10.001","DOIUrl":"10.1016/j.bpsc.2024.10.001","url":null,"abstract":"<div><div>The use of antipsychotic drugs is associated with adverse metabolic effects. Disruptions in glucose metabolism such as hyperglycemia and insulin resistance have been shown to occur with antipsychotic use, independent of changes in body weight or adiposity. The regulation of whole-body glucose metabolism is partly mediated by the central nervous system. In particular, the hypothalamus and brainstem are responsive to peripheral energy signals and subsequently mediate feedback mechanisms to maintain peripheral glucose homeostasis. In this scoping review of preclinical in vivo studies, we aimed to explore central mechanisms through which antipsychotics dysregulate glucose metabolism. A systematic search for animal studies identified 29 studies that met our eligibility criteria for qualitative synthesis. The studies suggest that antipsychotic-induced changes in autonomic nervous system activity, certain neurotransmitter systems, expression of neuropeptides, and central insulin action mediate impairments in glucose metabolism. These findings provide insight into potential targets for the mitigation of the adverse effects of antipsychotics on glucose metabolism.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 3","pages":"Pages 244-257"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142514581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Subscribers' Page","authors":"","doi":"10.1016/S2451-9022(25)00041-2","DOIUrl":"10.1016/S2451-9022(25)00041-2","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 3","pages":"Page A2"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional Brain Connectivity Predictors of Prospective Substance Use Initiation and Their Environmental Correlates","authors":"Omid Kardan ,&nbsp;Alexander S. Weigard ,&nbsp;Lora M. Cope ,&nbsp;Meghan E. Martz ,&nbsp;Mike Angstadt ,&nbsp;Katherine L. McCurry ,&nbsp;Cleanthis Michael ,&nbsp;Jillian E. Hardee ,&nbsp;Luke W. Hyde ,&nbsp;Chandra Sripada ,&nbsp;Mary M. Heitzeg","doi":"10.1016/j.bpsc.2024.10.002","DOIUrl":"10.1016/j.bpsc.2024.10.002","url":null,"abstract":"<div><h3>Background</h3><div>Early substance use initiation (SUI) places youth at substantially higher risk for later substance use disorders. Furthermore, adolescence is a critical period for the maturation of brain networks, the pace and magnitude of which are susceptible to environmental influences and may shape risk for SUI.</div></div><div><h3>Methods</h3><div>We examined whether patterns of functional brain connectivity during rest (rsFC), measured longitudinally during pre- and early adolescence, can predict future SUI. Next, in an independent subsample, we tested whether these patterns were associated with earlier environmental exposures, specifically neighborhood pollution and socioeconomic dimensions. We utilized data from the ABCD (Adolescent Brain Cognitive Development) Study. SUI was defined as first-time use of at least 1 full dose of alcohol, nicotine, cannabis, or other drugs. We created a control group (<em>n</em> = 228) of participants without SUI who were matched to the SUI group (<em>n</em> = 233) on age, sex, race/ethnicity, household income, and parental education.</div></div><div><h3>Results</h3><div>Multivariate analysis showed that whole-brain rsFC from 9–10 to 11–12 years of age (prior to SUI) prospectively differentiated the SUI and control groups. The SUI-related rsFC pattern was also related to aging in both groups, suggesting a pattern of accelerated maturation in the years prior to SUI. This same pattern of rsFC was predicted by higher pollution but not neighborhood disadvantage (adjusted for family socioeconomic factors) in an independent subsample (<em>n</em> = 2854).</div></div><div><h3>Conclusions</h3><div>Brain functional connectivity patterns in early adolescence that are linked to accelerated maturation can predict SUI in youth and are associated with exposure to pollution.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 2","pages":"Pages 203-212"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the Descriptive: A Comprehensive, Multidomain Validation of Symptom Trajectories for Individuals at Clinical High Risk for Psychosis","authors":"Wisteria Deng ,&nbsp;Benjamin Chong ,&nbsp;Jean Addington ,&nbsp;Carrie E. Bearden ,&nbsp;Kristin S. Cadenhead ,&nbsp;Barbara A. Cornblatt ,&nbsp;Matcheri Keshavan ,&nbsp;Daniel H. Mathalon ,&nbsp;Diana O. Perkins ,&nbsp;William Stone ,&nbsp;Elaine F. Walker ,&nbsp;Scott W. Woods ,&nbsp;Tyrone D. Cannon","doi":"10.1016/j.bpsc.2024.08.020","DOIUrl":"10.1016/j.bpsc.2024.08.020","url":null,"abstract":"<div><h3>Background</h3><div>Although the clinical high risk for psychosis (CHR-P) criteria are widely used to ascertain individuals at heightened risk for imminent onset of psychosis, it remains controversial whether CHR-P status defines a diagnostic construct in its own right. In a previous study, CHR-P nonconverters were observed to follow 3 distinct trajectories in symptoms and functioning: remission, partial remission, and maintenance of symptoms and functional impairments at subthreshold levels of intensity.</div></div><div><h3>Methods</h3><div>Here, we utilized the NAPLS3 (North American Prodrome Longitudinal Study phase 3) sample (<em>N</em> = 806) to determine whether 1) the same trajectory groups can be detected when assessing symptoms at 2-month intervals over an 8-month period and 2) the resulting trajectory groups differ from each other and from healthy control participants and converting CHR-P cases in terms of risk factors, comorbidities, and functional outcomes.</div></div><div><h3>Results</h3><div>Three distinctive subgroups within the CHR nonconverters were identified, largely paralleling those observed previously. Importantly, these extracted groups, together with non-CHR control participants and CHR converters, differed from each other significantly on putative etiological risk factors (e.g., predicted risk scores, physiological and self-report measures of stress), affective comorbidities, and functional outcomes, thus providing converging evidence supporting the validity of the identified trajectory groups.</div></div><div><h3>Conclusions</h3><div>This pattern, together with the fact that even the subgroup of CHR-P nonconverters who showed a remission trajectory deviated from healthy control participants, supports treating the CHR-P syndrome not only as a status that denotes risk for onset of full psychosis but also as a marker of ongoing distress for a population that is in need of interventions.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 2","pages":"Pages 195-202"},"PeriodicalIF":5.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142303306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}