{"title":"Edge-Centric Brain Connectome Representations Reveal Increased Brain Functional Diversity of Reward Circuit in Patients With Major Depressive Disorder.","authors":"Kun Qin, Chunqi Ai, Pengyu Zhu, Jialin Xiang, Xiong Chen, Lisha Zhang, Conghui Wang, Lulu Zou, Fang Chen, Xuhang Pan, Yuxi Wang, Junchen Gu, Nanfang Pan, Wen Chen","doi":"10.1016/j.biopsych.2025.08.013","DOIUrl":"10.1016/j.biopsych.2025.08.013","url":null,"abstract":"<p><strong>Background: </strong>Major depressive disorder (MDD) has been increasingly understood as a disorder of network-level functional dysconnectivity. However, previous brain connectome studies have primarily relied on node-centric approaches, neglecting critical edge-edge interactions that may capture essential features of network dysfunction.</p><p><strong>Methods: </strong>This study included resting-state functional magnetic resonance imaging data from 838 patients with MDD and 881 healthy control (HC) participants across 23 sites. We applied a novel edge-centric connectome model to estimate edge functional connectivity and identify overlapping network communities. Regional functional diversity was quantified via normalized entropy based on community overlap patterns. Neurobiological decoding was performed to map brain-wide relationships between functional diversity alterations and patterns of gene expression and neurotransmitter distribution. Comparative machine learning analyses further evaluated the diagnostic utility of edge-centric versus node-centric connectome representations.</p><p><strong>Results: </strong>Compared with HC participants, patients with MDD exhibited significantly increased functional diversity within the prefrontal-striatal-thalamic reward circuit. Neurobiological decoding analysis revealed that functional diversity alterations in MDD were spatially associated with transcriptional patterns enriched for inflammatory processes, as well as distribution of 5-HT<sub>1B</sub> receptors. Machine learning analyses demonstrated superior classification performance of edge-centric models over traditional node-centric approaches in distinguishing patients with MDD from HC participants at the individual level.</p><p><strong>Conclusions: </strong>Our findings highlight that abnormal functional diversity within the reward processing system might underlie multilevel neurobiological mechanisms of MDD. The edge-centric connectome approach offers a valuable tool for identifying disease biomarkers, characterizing individual variation and advancing current understanding of complex network configuration in psychiatric disorders.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145005832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Insights Into the Effects of Ketamine on the Opioid System","authors":"Charles F. Zorumski, Steven Mennerick","doi":"10.1016/j.biopsych.2025.07.005","DOIUrl":"10.1016/j.biopsych.2025.07.005","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"98 7","pages":"Pages 508-510"},"PeriodicalIF":9.0,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Changing the Channel: Effects of a KCNQ Channel Opener (Ezogabine) on the Functional Connectivity of Reward Circuitry","authors":"Shabnam Hossein","doi":"10.1016/j.biopsych.2025.07.015","DOIUrl":"10.1016/j.biopsych.2025.07.015","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"98 7","pages":"Pages 513-514"},"PeriodicalIF":9.0,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michaela Kiel, Stacey Pawlak, Sarah van Dijk, Keagan Kirkpatrick, Ina A Stelzer, Serena Banu Gumusoglu
{"title":"Biomarkers for the Diagnosis of Perinatal Mood and Anxiety Disorders: Existing Landscapes and Emerging Frontiers.","authors":"Michaela Kiel, Stacey Pawlak, Sarah van Dijk, Keagan Kirkpatrick, Ina A Stelzer, Serena Banu Gumusoglu","doi":"10.1016/j.biopsych.2025.08.015","DOIUrl":"10.1016/j.biopsych.2025.08.015","url":null,"abstract":"<p><p>Perinatal mood and anxiety disorders (PMADs) are a spectrum of mental health conditions that are the most common pregnancy-related complications in the United States. Despite great strides in developing appropriate pharmacological and psychological treatments, there continues to be a lack of biological measures for diagnosis and prediction of PMADs. Such measures could be effectively utilized to subtype and mechanistically explore PMADs and appropriately leverage mental health care resources. While the literature evidences many potential candidates, none have been clinically implemented. To move the field forward, this narrative review curates and critically evaluates the current state of the literature on circulating factor biomarkers for PMADs. Here, we review 2 categories of PMAD biomarkers: conventional, well-studied factors published between 2000 and 2020 and recently emergent factors published since 2020. The categories of conventional factors reviewed include vitamins and minerals, inflammatory markers, and steroids/hormones. Recently emergent categories of factors include nucleic acids, extracellular vesicles, proteomics, and functional immune cell profiles. The promise of emergent technologies is highlighted. Challenges are discussed and include biological sample complexity, low biomarker abundance, variability across patient populations, and issues with reproducibility and validation in large and diverse samples. Biomarkers often lack consistency, and reliance on single markers oversimplifies complex diseases. Priorities for future work include standardizing sample protocols, selecting well-matched study groups, conducting longitudinal studies, integrating blood biomarkers with brain and other biological measures, and deep phenotyping to improve diagnostic and predictive precision and personalized care. As biomarkers are revealed and validated, advances can be made toward improving maternal health during the perinatal period and beyond.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145005861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Leanne M Holt, Earnest P Chen, Brandon W Hughes, Eric J Nestler
{"title":"CUT&RUN as a Powerful Tool for Chromatin Profiling: A Focus on Neuropsychiatric Disorders.","authors":"Leanne M Holt, Earnest P Chen, Brandon W Hughes, Eric J Nestler","doi":"10.1016/j.biopsych.2025.08.012","DOIUrl":"10.1016/j.biopsych.2025.08.012","url":null,"abstract":"<p><p>Proper regulation of gene expression involves a complex array of crosstalk between chromatin remodeling, histone and DNA modifications, and transcription factors. Dysregulation of these processes is implicated in a wide range of neuropsychiatric conditions. Methods to interrogate transcription factors and epigenomic profiles have revolutionized our ability to study molecular mechanisms in the brain. However, as our understanding of this highly complex system has grown, so has the need for more sophisticated methodology to disentangle such multifaceted and cooperative mechanisms. In this review, we briefly introduce techniques to profile chromatin accessibility, transcription factor regulation, and epigenetic mechanisms, as well as a more recently emerging technique, CUT&RUN (cleavage under targets and release using nuclease), and its role in providing new insights into our understanding of the molecular underpinnings of neuropsychiatric disorders, with a focus on addiction and depression.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12462765/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144999524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}