Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

{"title":"Continuous Theta Burst Stimulation of the Medial Prefrontal Cortex Reduces Drug Cue Reactivity With a Potential for Improving Outpatient Treatment Outcomes in Cocaine Use Disorder","authors":"Rita Z. Goldstein","doi":"10.1016/j.bpsc.2025.04.007","DOIUrl":"10.1016/j.bpsc.2025.04.007","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 557-559"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212271","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":"Can Electroencephalography and Machine Learning Predict Treatment Response to Transcranial Magnetic Stimulation in Depression?","authors":"Fabio Ferrarelli","doi":"10.1016/j.bpsc.2025.03.005","DOIUrl":"10.1016/j.bpsc.2025.03.005","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 560-561"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212272","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":"Symptom Dimensions and Cognitive Impairments in Individuals at Clinical High Risk for Psychosis","authors":"TianHong Zhang ,&nbsp;LiHua Xu ,&nbsp;YanYan Wei ,&nbsp;HuiRu Cui ,&nbsp;XiaoChen Tang ,&nbsp;YeGang Hu ,&nbsp;HaiChun Liu ,&nbsp;ZiXuan Wang ,&nbsp;Tao Chen ,&nbsp;ZhengHui Yi ,&nbsp;ChunBo Li ,&nbsp;JiJun Wang","doi":"10.1016/j.bpsc.2024.09.002","DOIUrl":"10.1016/j.bpsc.2024.09.002","url":null,"abstract":"<div><h3>Background</h3><div>Understanding the intricate relationships between symptom dimensions, clusters, and cognitive impairments is crucial for early detection and intervention in individuals at clinical high risk for psychosis. This study delves into this complex interplay in a clinical high risk sample with the aim of predicting the conversion to psychosis.</div></div><div><h3>Methods</h3><div>A comprehensive cognitive assessment was performed in 744 clinical high risk individuals. The study included a 3-year follow-up period to allow assessment of conversion to psychosis. Symptom profiles were determined using the Structured Interview for Prodromal Syndromes. By applying factor analysis, symptom dimensions were categorized as dominant negative symptoms (NS), positive symptoms-stressful, and positive symptoms-odd. The factor scores were used to define 3 dominant symptom groups. Latent class analysis (LCA) and the factor mixture model (FMM) were employed to identify discrete clusters based on symptom patterns. The 3-class solution was chosen for the LCA and FMM analysis.</div></div><div><h3>Results</h3><div>Individuals in the dominant NS group exhibited significantly higher conversion rates to psychosis than those in the other groups. Specific cognitive variables, including performance on the Brief Visuospatial Memory Test–Revised (odds ratio = 0.702, <em>p</em> = .001) and Neuropsychological Assessment Battery Mazes Test (odds ratio = 0.776, <em>p</em> = .024), significantly predicted conversion to psychosis. Notably, cognitive impairments associated with NS and positive symptoms-stressful groups affected different cognitive domains. LCA and FMM cluster 1, which was characterized by severe NS and positive symptoms-odd, exhibited more impairments in cognitive domains than other clusters. No significant difference in the conversion rate was observed among the LCA and FMM clusters.</div></div><div><h3>Conclusions</h3><div>These findings highlight the importance of NS in the development of psychosis and suggest specific cognitive domains that are affected by symptom dimensions.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 646-655"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142303310","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":"A Randomized Controlled Trial of Medial Prefrontal Cortex Theta Burst Stimulation for Cocaine Use Disorder: A Three-Month Feasibility and Brain Target Engagement Study","authors":"Daniel M. McCalley ,&nbsp;Kaitlin R. Kinney ,&nbsp;Navneet Kaur ,&nbsp;Julia P. Wolf ,&nbsp;Ingrid E. Contreras ,&nbsp;Joshua P. Smith ,&nbsp;Sarah W. Book ,&nbsp;Colleen A. Hanlon","doi":"10.1016/j.bpsc.2024.11.022","DOIUrl":"10.1016/j.bpsc.2024.11.022","url":null,"abstract":"<div><h3>Background</h3><div>Cue-induced craving precipitates relapse in drug and alcohol use disorders. Theta burst stimulation (TBS) to the left frontal pole of the medial prefrontal cortex (MPFC) has previously been shown to reduce drinking and brain reactivity to alcohol cues. In this randomized, double-blind, sham-controlled target engagement study, we aimed to assess whether TBS has similar effects in individuals with cocaine use disorder.</div></div><div><h3>Methods</h3><div>Thirty-three participants in intensive outpatient treatment received either real or sham TBS over 10 sessions across 3 weeks (36,000 pulses total; continuous TBS, 110% resting motor threshold, 3600 pulses/session). TBS was administered on days of behavioral counseling. Twenty-five individuals completed all 10 TBS sessions. Brain reactivity to cocaine cues was measured using functional magnetic resonance imaging at baseline, 1 month, 2 months, and 3 months.</div></div><div><h3>Results</h3><div>Cocaine abstinence during the 3-month follow-up period was greater in the real TBS group (1-month: 92.0%, 2-month: 100.0%, 3-month: 85.0%) than sham (1-month: 66.6%, 2-month: 66.6%, 3-month: 66.6%), although the difference was not statistically significant (1-month odds ratio [OR] = 6.00, <em>p</em> = .14; 2-month OR = 14.30, <em>p</em> = .09; and 3-month OR = 2.75, <em>p</em> = .30). However, there was a significant effect on cocaine cue reactivity (treatment effect: <em>F</em>_1,365 = 8.92, <em>p</em> = .003; time × treatment interaction: <em>F</em>_3,365 = 12.88, <em>p</em> &lt; .001). Real TBS reduced cocaine cue reactivity in the MPFC (<em>F</em>_3,72 = 5.46, <em>p</em> = .02), the anterior cingulate (<em>F</em>_3,72 = 3.03, <em>p</em> = .04), and the insula (<em>F</em>_3,72 = 3.60, <em>p</em> = .02).</div></div><div><h3>Conclusions</h3><div>This early-stage trial demonstrates that TBS to the MPFC reduces brain reactivity to cocaine cues in key nodes of the salience network in treatment-seeking cocaine users. Future, well-powered trials are warranted to evaluate clinical efficacy outcomes.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 616-625"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820345","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":"Predicting Treatment Response of Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder Using an Explainable Machine Learning Model Based on Electroencephalography and Clinical Features","authors":"Zongya Zhao ,&nbsp;Xiangying Ran ,&nbsp;Yanxiang Niu ,&nbsp;Mengyue Qiu ,&nbsp;Shiyang Lv ,&nbsp;Mingjie Zhu ,&nbsp;Junming Wang ,&nbsp;Mingcai Li ,&nbsp;Zhixian Gao ,&nbsp;Chang Wang ,&nbsp;Yongtao Xu ,&nbsp;Wu Ren ,&nbsp;Xuezhi Zhou ,&nbsp;Xiaofeng Fan ,&nbsp;Jinggui Song ,&nbsp;Mingchao Qi ,&nbsp;Yi Yu","doi":"10.1016/j.bpsc.2025.02.002","DOIUrl":"10.1016/j.bpsc.2025.02.002","url":null,"abstract":"<div><div>Major depressive disorder (MDD) is highly heterogeneous in response to repetitive transcranial magnetic stimulation (rTMS), and identifying predictive biomarkers is essential for personalized treatment. However, most prior research studies have used either electroencephalography (EEG) or clinical features, lack interpretability, or have small sample sizes. This study included 74 patients with MDD who responded (responders) and 43 patients with MDD who did not respond (nonresponders) to rTMS. Eight baseline EEG metrics and clinical features were sent to 7 machine learning models to classify responders and nonresponders. Shapley additive explanations (SHAP) was used to interpret feature contributions. Combining phase locking value and clinical features with support vector machine achieved optimal classification performance (accuracy = 97.33%). SHAP revealed that delta and beta band functional connectivity (F3-P7, F3-P4, P3-P8, T7-Cz) significantly influenced predictions and differed between groups. This study developed an explainable predictive framework to predict rTMS response in MDD, enhancing the accuracy of rTMS response prediction and supporting personalized treatment in MDD.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 656-665"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470225","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":"Cortical Hypoactivation of Frontal Areas Modulates Resting Electroencephalography Microstates in Children With Attention-Deficit/Hyperactivity Disorder","authors":"Chaithanya Leon ,&nbsp;Simran Kaur ,&nbsp;Rajesh Sagar ,&nbsp;Prashant Tayade ,&nbsp;Ratna Sharma","doi":"10.1016/j.bpsc.2024.11.012","DOIUrl":"10.1016/j.bpsc.2024.11.012","url":null,"abstract":"<div><h3>Background</h3><div>In the current study, we examined electroencephalography (EEG) microstate alterations and their neural generators during resting state in children with attention-deficit/hyperactivity disorder (ADHD) to explore a potential state biomarker.</div></div><div><h3>Methods</h3><div>A total of 76 participants, 38 with combined-type ADHD and 38 neurotypical children, took part in the study. Five-minute resting (eyes-open) 128 channel EEG data were acquired, and 2 minutes of clean EEG data were analyzed for microstates, its sources, and connectivity in both groups. Between-groups comparisons were done for microstate parameters using modified k-means clustering with Cartool software. Furthermore, the cortical sources and functional connectivity of significant microstate maps were explored using LORETA software. Subsequently microstate parameters were correlated with the behavioral scores from the Conners’ Parent Rating Scale.</div></div><div><h3>Results</h3><div>Among the microstate parameters examined, children with ADHD displayed significant differences (<em>p</em> &lt; .05) in time frames and time coverage of map B (decreased) and transition probability of map D (increased). Interestingly, source analysis of both microstate maps showed hypoactivation of frontal areas predominantly while functional connectivity showed hyperconnectivity between the medial frontal gyrus and anterior cingulate gyrus (executive function area) for map B and hypoconnectivity between the medial frontal gyrus and middle temporal gyrus (both are suggested to be part of default mode network areas) for map D. Further, cross-spectral density values of map B were found to be correlated with executive function scores from the Conners’ questionnaire.</div></div><div><h3>Conclusions</h3><div>EEG microstate features, together with source and connectivity measures, could help differentiate children with ADHD from neurotypical children. The hypoactivation of predominantly frontal areas and their connectivity was found to determine microstate maps.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 565-573"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142752500","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)00147-8","DOIUrl":"10.1016/S2451-9022(25)00147-8","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Page A2"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212684","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(25)00096-5","DOIUrl":"10.1016/S2451-9022(25)00096-5","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 5","pages":"Page A1"},"PeriodicalIF":5.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906471","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)00097-7","DOIUrl":"10.1016/S2451-9022(25)00097-7","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 5","pages":"Page A2"},"PeriodicalIF":5.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906472","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":"Social Buffering of Posttraumatic Stress Disorder: Longitudinal Effects and Neural Mediators","authors":"Justin L.C. Santos ,&nbsp;Nathaniel G. Harnett ,&nbsp;Sanne J.H. van Rooij ,&nbsp;Timothy D. Ely ,&nbsp;Tanja Jovanovic ,&nbsp;Lauren A.M. Lebois ,&nbsp;Francesca L. Beaudoin ,&nbsp;Xinming An ,&nbsp;Thomas C. Neylan ,&nbsp;Sarah D. Linnstaedt ,&nbsp;Laura T. Germine ,&nbsp;Kenneth A. Bollen ,&nbsp;Scott L. Rauch ,&nbsp;John P. Haran ,&nbsp;Alan B. Storrow ,&nbsp;Christopher Lewandowski ,&nbsp;Paul I. Musey Jr. ,&nbsp;Phyllis L. Hendry ,&nbsp;Sophia Sheikh ,&nbsp;Christopher W. Jones ,&nbsp;Jennifer S. Stevens","doi":"10.1016/j.bpsc.2024.11.011","DOIUrl":"10.1016/j.bpsc.2024.11.011","url":null,"abstract":"<div><h3>Background</h3><div>Posttraumatic stress disorder (PTSD) is a well-characterized psychiatric disorder that features changes in mood and arousal following traumatic events. Previous animal and human studies of social support during the peritraumatic window have demonstrated a buffering effect with regard to acute biological and psychological stress symptoms. Fewer studies have explored the magnitude of and mechanism through which early posttrauma social support can reduce longitudinal PTSD severity.</div></div><div><h3>Methods</h3><div>In this study, we investigated the beneficial impact of social support on longitudinal PTSD symptoms and probed brain regions sensitive to this buffering phenomenon, such as the amygdala and ventromedial prefrontal cortex. In the multisite AURORA study, 315 participants reported PTSD symptoms (PTSD Checklist for DSM-5) and perceived emotional support (Patient-Reported Outcomes Measurement Information System) at 2 weeks, 8 weeks, 3 months, and 6 months post emergency department visit. Additionally, neuroimaging data were collected at 2 weeks posttrauma.</div></div><div><h3>Results</h3><div>We hypothesized that early posttrauma social support would be linked with greater fractional anisotropic values in white matter tracts that have known connectivity between the amygdala and prefrontal cortex and would predict reduced neural reactivity to social threat cues in the amygdala. Interestingly, while we observed greater fractional anisotropy in the bilateral cingulum and bilateral uncinate fasciculus as a function of early posttrauma emotional support, we also identified greater threat reactivity in the precuneus/posterior cingulate, a component of the default mode network.</div></div><div><h3>Conclusions</h3><div>Our findings suggest that the neurocircuitry underlying the response to social threat cues is facilitated through broader pathways that involve the posterior hub of the default mode network.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 5","pages":"Pages 531-541"},"PeriodicalIF":5.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142741712","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}