Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

{"title":"Guide for Authors","authors":"","doi":"10.1016/S2451-9022(24)00150-2","DOIUrl":"https://doi.org/10.1016/S2451-9022(24)00150-2","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 7","pages":"Pages A5-A10"},"PeriodicalIF":5.7,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451902224001502/pdfft?md5=317fdad14e4a22cf0569cabfd3a75fe4&pid=1-s2.0-S2451902224001502-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141540924","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":"Pons-to-Cerebellum Hypoconnectivity Along the Psychosis Spectrum and Associations With Sensory Prediction and Hallucinations in Schizophrenia","authors":"Samantha V. Abram ,&nbsp;Jessica P.Y. Hua ,&nbsp;Spero Nicholas ,&nbsp;Brian Roach ,&nbsp;Sarah Keedy ,&nbsp;John A. Sweeney ,&nbsp;Daniel H. Mathalon ,&nbsp;Judith M. Ford","doi":"10.1016/j.bpsc.2024.01.010","DOIUrl":"10.1016/j.bpsc.2024.01.010","url":null,"abstract":"<div><h3>Background</h3><p>Sensory prediction allows the brain to anticipate and parse incoming self-generated sensory information from externally generated signals. Sensory prediction breakdowns may contribute to perceptual and agency abnormalities in psychosis (hallucinations, delusions). The pons, a central node in a cortico-ponto-cerebellar-thalamo-cortical circuit, is thought to support sensory prediction. Examination of pons connectivity in schizophrenia and its role in sensory prediction abnormalities is lacking.</p></div><div><h3>Methods</h3><p>We examined these relationships using resting-state functional magnetic resonance imaging and the electroencephalography-based auditory N1 event-related potential in 143 participants with psychotic spectrum disorders (PSPs) (with schizophrenia, schizoaffective disorder, or bipolar disorder); 63 first-degree relatives of individuals with psychosis; 45 people at clinical high risk for psychosis; and 124 unaffected comparison participants. This unique sample allowed examination across the psychosis spectrum and illness trajectory. Seeding from the pons, we extracted average connectivity values from thalamic and cerebellar clusters showing differences between PSPs and unaffected comparison participants. We predicted N1 amplitude attenuation during a vocalization task from pons connectivity and group membership. We correlated participant-level connectivity in PSPs and people at clinical high risk for psychosis with hallucination and delusion severity.</p></div><div><h3>Results</h3><p>Compared to unaffected comparison participants, PSPs showed pons hypoconnectivity to 2 cerebellar clusters, and first-degree relatives of individuals with psychosis showed hypoconnectivity to 1 of these clusters. Pons-to-cerebellum connectivity was positively correlated with N1 attenuation; only PSPs with heightened pons-to-postcentral gyrus connectivity showed this pattern, suggesting a possible compensatory mechanism. Pons-to-cerebellum hypoconnectivity was correlated with greater hallucination severity specifically among PSPs with schizophrenia.</p></div><div><h3>Conclusions</h3><p>Deficient pons-to-cerebellum connectivity linked sensory prediction network breakdowns with perceptual abnormalities in schizophrenia. Findings highlight shared features and clinical heterogeneity across the psychosis spectrum.</p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 7","pages":"Pages 693-702"},"PeriodicalIF":5.7,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451902224000235/pdfft?md5=ffc4c186311c7c4067ba2e8ad21d259d&pid=1-s2.0-S2451902224000235-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139708809","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":"Leptin’s Inverse Association With Brain Morphology and Depressive Symptoms: A Discovery and Confirmatory Study Across 2 Independent Samples","authors":"Ye Zhang ,&nbsp;Soumyabrata Munshi ,&nbsp;Kaiping Burrows ,&nbsp;Rayus Kuplicki ,&nbsp;Leandra K. Figueroa-Hall ,&nbsp;Robin L. Aupperle ,&nbsp;Sahib S. Khalsa ,&nbsp;T. Kent Teague ,&nbsp;Yasuyuki Taki ,&nbsp;Martin P. Paulus ,&nbsp;Jonathan Savitz ,&nbsp;Haixia Zheng","doi":"10.1016/j.bpsc.2024.04.005","DOIUrl":"10.1016/j.bpsc.2024.04.005","url":null,"abstract":"<div><h3>Background</h3><p>Major depressive disorder has a complex, bidirectional relationship with metabolic dysfunction, but the neural correlates of this association are not well understood.</p></div><div><h3>Methods</h3><p>In this cross-sectional investigation, we used a 2-step discovery and confirmatory strategy utilizing 2 independent samples (sample 1: 288 participants, sample 2: 196 participants) to examine the association between circulating indicators of metabolic health (leptin and adiponectin) and brain structures in individuals with major depressive disorder.</p></div><div><h3>Results</h3><p>We found a replicable inverse correlation between leptin levels and cortical surface area within essential brain areas responsible for emotion regulation, such as the left posterior cingulate cortex, right pars orbitalis, right superior temporal gyrus, and right insula (standardized beta coefficient range: −0.27 to −0.49, <em>p</em>_uncorrected &lt; .05). Notably, this relationship was independent of C-reactive protein levels. We also identified a significant interaction effect of leptin levels and diagnosis on the cortical surface area of the right superior temporal gyrus (standardized beta coefficient = 0.26 in sample 1, standardized beta coefficient = 0.30 in sample 2, <em>p</em>_uncorrected &lt; .05). We also observed a positive correlation between leptin levels and atypical depressive symptoms in both major depressive disorder groups (<em>r</em> = 0.14 in sample 1, <em>r</em> = 0.29 in sample 2, <em>p</em>_uncorrected &lt; .05).</p></div><div><h3>Conclusions</h3><p>The inverse association between leptin and cortical surface area in brain regions that are important for emotion processing and leptin’s association with atypical depressive symptoms support the hypothesis that metabolic processes may be related to emotion regulation. However, the molecular mechanisms through which leptin may exert these effects should be explored further.</p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 7","pages":"Pages 714-725"},"PeriodicalIF":5.7,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451902224001058/pdfft?md5=80adf5740cbafe272b96ca81f37fca3a&pid=1-s2.0-S2451902224001058-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140779484","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":"Subscribers' Page","authors":"","doi":"10.1016/S2451-9022(24)00147-2","DOIUrl":"https://doi.org/10.1016/S2451-9022(24)00147-2","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 7","pages":"Page A2"},"PeriodicalIF":5.7,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141540928","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":"Editorial Board Page","authors":"","doi":"10.1016/S2451-9022(24)00146-0","DOIUrl":"https://doi.org/10.1016/S2451-9022(24)00146-0","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 7","pages":"Page A1"},"PeriodicalIF":5.7,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451902224001460/pdfft?md5=2ce309c8bb42f144d3a8a7492ed8ce4f&pid=1-s2.0-S2451902224001460-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141540927","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":"Editorial Board Page","authors":"","doi":"10.1016/S2451-9022(24)00123-X","DOIUrl":"https://doi.org/10.1016/S2451-9022(24)00123-X","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 6","pages":"Page A1"},"PeriodicalIF":5.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S245190222400123X/pdfft?md5=384b67fee18b0d3107651293fb115e68&pid=1-s2.0-S245190222400123X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141244831","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":"Subscribers' Page","authors":"","doi":"10.1016/S2451-9022(24)00124-1","DOIUrl":"https://doi.org/10.1016/S2451-9022(24)00124-1","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 6","pages":"Page A2"},"PeriodicalIF":5.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141244832","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":"Use of Reverse Inference in High Noise Stimuli to Investigate Bias Efficiencies of Face Emotion Processing in Major Depressive Disorder","authors":"Scott A. Langenecker ,&nbsp;Rebecca E. Easter","doi":"10.1016/j.bpsc.2024.04.012","DOIUrl":"https://doi.org/10.1016/j.bpsc.2024.04.012","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 6","pages":"Pages 549-550"},"PeriodicalIF":5.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141239062","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":"Effects of GABA, Sex, and Stress on Reward Learning in Current and Remitted Major Depression","authors":"Jessica M. Duda ,&nbsp;Amelia D. Moser ,&nbsp;Maria Ironside ,&nbsp;Kaylee E. Null ,&nbsp;Laura M. Holsen ,&nbsp;Chun S. Zuo ,&nbsp;Fei Du ,&nbsp;Shiba M. Esfand ,&nbsp;Xi Chen ,&nbsp;Sarah Perlo ,&nbsp;Christine E. Richards ,&nbsp;Rachel Lobien ,&nbsp;Madeline Alexander ,&nbsp;Madhusmita Misra ,&nbsp;Jill M. Goldstein ,&nbsp;Diego A. Pizzagalli","doi":"10.1016/j.bpsc.2024.02.009","DOIUrl":"10.1016/j.bpsc.2024.02.009","url":null,"abstract":"<div><h3>Background</h3><p>Neurocognitive factors including aberrant reward learning, blunted GABA (gamma-aminobutyric acid), and potentiated stress sensitivity have been linked to anhedonia, a hallmark depressive symptom, possibly in a sex-dependent manner. However, previous research has not investigated the putative associations among these factors or the extent to which they represent trait- or state-based vulnerabilities for depression.</p></div><div><h3>Methods</h3><p>Young adults with current major depressive disorder (MDD) (<em>n</em> = 44), remitted MDD (<em>n</em> = 42), and healthy control participants (HCs) (<em>n</em> = 44), stratified by sex assigned at birth, underwent magnetic resonance spectroscopy to assess macromolecular contaminated GABA (GABA+) and then a reward learning task before and after acute stress. We assessed changes in reward learning after stress and associations with GABA+.</p></div><div><h3>Results</h3><p>Results revealed blunted baseline reward learning in participants with remitted MDD versus participants with current MDD and HCs but, surprisingly, no differences between participants with current MDD and HCs. Reward learning was reduced following acute stress regardless of depressive history. GABA+ in the rostral anterior cingulate cortex, but not the dorsolateral prefrontal cortex, was associated with reduced baseline reward learning only in female participants. GABA+ did not predict stress-related changes in reward learning.</p></div><div><h3>Conclusions</h3><p>To our knowledge, this is the first study to investigate associations among GABA, reward learning, and stress reactivity in current versus past depression. Hypothesized depression-related differences in reward learning did not emerge, precluding claims about state versus trait vulnerabilities. However, our finding that blunted GABA was associated with greater reward learning in female participants provides novel insights into sex-selective associations between the frontal GABAergic inhibitory system and reward processing.</p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 6","pages":"Pages 606-615"},"PeriodicalIF":5.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139992013","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":"Perceptual Observer Modeling Reveals Likely Mechanisms of Face Expression Recognition Deficits in Depression","authors":"Fabian A. Soto ,&nbsp;Christopher G. Beevers","doi":"10.1016/j.bpsc.2024.01.011","DOIUrl":"10.1016/j.bpsc.2024.01.011","url":null,"abstract":"<div><h3>Background</h3><p>Deficits in face emotion recognition are well documented in depression, but the underlying mechanisms are poorly understood. Psychophysical observer models provide a way to precisely characterize such mechanisms. Using model-based analyses, we tested 2 hypotheses about how depression may reduce sensitivity to detect face emotion: 1) via a change in selectivity for visual information diagnostic of emotion or 2) via a change in signal-to-noise ratio in the system performing emotion detection.</p></div><div><h3>Methods</h3><p>Sixty adults, one half meeting criteria for major depressive disorder and the other half healthy control participants, identified sadness and happiness in noisy face stimuli, and their responses were used to estimate templates encoding the visual information used for emotion identification. We analyzed these templates using traditional and model-based analyses; in the latter, the match between templates and stimuli, representing sensory evidence for the information encoded in the template, was compared against behavioral data.</p></div><div><h3>Results</h3><p>Estimated happiness templates produced sensory evidence that was less strongly correlated with response times in participants with depression than in control participants, suggesting that depression was associated with a reduced signal-to-noise ratio in the detection of happiness. The opposite results were found for the detection of sadness. We found little evidence that depression was accompanied by changes in selectivity (i.e., information used to detect emotion), but depression was associated with a stronger influence of face identity on selectivity.</p></div><div><h3>Conclusions</h3><p>Depression is more strongly associated with changes in signal-to-noise ratio during emotion recognition, suggesting that deficits in emotion detection are driven primarily by deprecated signal quality rather than suboptimal sampling of information used to detect emotion.</p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 6","pages":"Pages 597-605"},"PeriodicalIF":5.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139713503","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}