Biological psychiatry global open science最新文献

Guide for Authors

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Biological psychiatry global open science Pub Date : 2025-03-01 DOI: 10.1016/S2667-1743(25)00021-7

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Can Small Nucleolar RNAs Contribute to Neuropsychiatric Disorders? Insights and Future Perspectives

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Biological psychiatry global open science Pub Date : 2025-03-01 DOI: 10.1016/j.bpsgos.2025.100447

Yogesh Dwivedi

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A Neural Circuit Basis for the Sex-Specific Modulation of Binge Alcohol Drinking

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Biological psychiatry global open science Pub Date : 2025-03-01 DOI: 10.1016/j.bpsgos.2024.100444

Larry S. Zweifel

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Editorial Board Page

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Biological psychiatry global open science Pub Date : 2025-03-01 DOI: 10.1016/S2667-1743(25)00018-7

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New Insights Into the Neural Consequences of Synthetic Cannabinoids During Adolescence: The Critical Role of Reelin at Prefrontal Synapses

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Biological psychiatry global open science Pub Date : 2025-03-01 DOI: 10.1016/j.bpsgos.2025.100456

Giorgio Prosperi , Antonia Manduca

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Subscribers Page

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Biological psychiatry global open science Pub Date : 2025-03-01 DOI: 10.1016/S2667-1743(25)00019-9

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Many Roads to Irritability: How Developmental Change and Multiple Risk Pathways Can Impact Negative Findings in Resting-State Connectivity

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Biological psychiatry global open science Pub Date : 2025-03-01 DOI: 10.1016/j.bpsgos.2025.100451

Alecia C. Vogel, Kirsten E. Gilbert

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Comparing Data-Driven Subtypes of Depression Informed by Clinical and Neuroimaging Data: A Registered Report

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Biological psychiatry global open science Pub Date : 2025-02-25 DOI: 10.1016/j.bpsgos.2025.100473

Kayla Hannon , Setthanan Jarukasemkit , Leda Balogh , Fyzeen Ahmad , Petra Lenzini , Aristeidis Sotiras , Janine D. Bijsterbosch

{"title":"Comparing Data-Driven Subtypes of Depression Informed by Clinical and Neuroimaging Data: A Registered Report","authors":"Kayla Hannon , Setthanan Jarukasemkit , Leda Balogh , Fyzeen Ahmad , Petra Lenzini , Aristeidis Sotiras , Janine D. Bijsterbosch","doi":"10.1016/j.bpsgos.2025.100473","DOIUrl":"10.1016/j.bpsgos.2025.100473","url":null,"abstract":"<div><h3>Background</h3><div>Efforts to elucidate subtypes within depression have yet to establish a consensus. In this study, we aimed to rigorously compare different subtyping approaches in the same participant space to quantitatively test agreement across subtyping approaches and determine whether the different approaches are sensitive to different sources of heterogeneity in depression.</div></div><div><h3>Methods</h3><div>We implemented 6 different data-driven subtyping methods developed in previous work using the same UK Biobank participants (<em>n</em> = 2276 participants with depression, <em>n</em> = 1595 healthy control participants). The 6 approaches include 2 symptom-based, 2 structural neuroimaging–based, and 2 functional neuroimaging–based techniques. The resulting subtypes were compared based on participant assignment, stability, and sensitivity to subtype differences in demographics, general health, clinical characteristics, neuroimaging, trauma, cognition, genetics, and inflammation markers.</div></div><div><h3>Results</h3><div>We found almost no agreement between the resulting subtypes of the 6 approaches (mean adjusted Rand index [ARI] = 0.006), even within data domains. This finding was largely driven by differences in input feature set (mean ARI = 0.005) rather than clustering algorithm (mean ARI = 0.23). However, each approach had relatively high internal stability across bootstraps (ARI = 0.36–0.89); most approaches performed above null; and most approaches were sensitive to relevant phenotypes within their data domain.</div></div><div><h3>Conclusions</h3><div>Despite marginal overlap between approaches, we found the subtyping approaches to be internally consistent. These results explain why previous studies found strong evidence for subtypes within their analysis but with very little convergence between studies. We recommend that in future work, investigators incorporate systematic comparisons between their approach and alternative/previous approaches to facilitate consensus on depression subtypes.</div></div>","PeriodicalId":72373,"journal":{"name":"Biological psychiatry global open science","volume":"5 3","pages":"Article 100473"},"PeriodicalIF":4.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Optimal Frequency for Seizure Induction With Electroconvulsive Therapy and Magnetic Seizure Therapy in Nonhuman Primates

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Biological psychiatry global open science Pub Date : 2025-02-20 DOI: 10.1016/j.bpsgos.2025.100471

Angel V. Peterchev , Zhi-De Deng , Christopher Sikes-Keilp , Elyssa C. Feuer , Moacyr A. Rosa , Sarah H. Lisanby

{"title":"Optimal Frequency for Seizure Induction With Electroconvulsive Therapy and Magnetic Seizure Therapy in Nonhuman Primates","authors":"Angel V. Peterchev , Zhi-De Deng , Christopher Sikes-Keilp , Elyssa C. Feuer , Moacyr A. Rosa , Sarah H. Lisanby","doi":"10.1016/j.bpsgos.2025.100471","DOIUrl":"10.1016/j.bpsgos.2025.100471","url":null,"abstract":"<div><h3>Background</h3><div>Electroconvulsive therapy (ECT) and magnetic seizure therapy (MST) are effective in the treatment of medication-resistant depression. Determining the stimulus frequency that results in the lowest seizure threshold could produce fewer adverse effects by reducing the overall stimulus intensity.</div></div><div><h3>Methods</h3><div>To determine the optimal frequency for seizure induction, 4 male rhesus macaques were titrated with an increasing number of pulses at fixed frequencies ranging from 5 to 240 pulses per second (pps) using ultrabrief pulse right-unilateral ECT and circular-coil-on-vertex MST. Bilateral electroencephalography was recorded to characterize the seizure expression.</div></div><div><h3>Results</h3><div>The seizure threshold dependence on stimulus frequency was similar for ECT and MST. While higher frequencies required progressively shorter trains to induce a seizure, the middle frequency range was associated with the fewest pulses (and therefore the least charge and energy), with a minimum at 16 pps and similarly low thresholds for 10 and 25 pps. The number of pulses at seizure threshold increased markedly at lower and higher frequencies. The lowest stimulus frequencies, 5 and 10 pps, were associated with the greatest ictal power measured by electroencephalography.</div></div><div><h3>Conclusions</h3><div>While neither efficacy nor side effects were assessed in this study, the results highlight the significance of stimulus frequency for seizure induction, suggest efficient titration schedules that minimize exposure to the electrical stimulus, and can inform studies to assess the impact on clinical outcomes. These data can also support safety guidelines for interventions such as transcranial magnetic stimulation that must avoid seizure induction.</div></div>","PeriodicalId":72373,"journal":{"name":"Biological psychiatry global open science","volume":"5 3","pages":"Article 100471"},"PeriodicalIF":4.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Stable White Matter Structure in the First Three Years After Psychosis Onset

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Biological psychiatry global open science Pub Date : 2025-02-20 DOI: 10.1016/j.bpsgos.2025.100472

Peter C. Van Dyken , Kun Yang , Andreia V. Faria , Akira Sawa , Michael MacKinley , Ali R. Khan , Lena Palaniyappan

{"title":"Stable White Matter Structure in the First Three Years After Psychosis Onset","authors":"Peter C. Van Dyken , Kun Yang , Andreia V. Faria , Akira Sawa , Michael MacKinley , Ali R. Khan , Lena Palaniyappan","doi":"10.1016/j.bpsgos.2025.100472","DOIUrl":"10.1016/j.bpsgos.2025.100472","url":null,"abstract":"<div><h3>Background</h3><div>White matter alterations observed using diffusion weighted imaging have become a hallmark of chronic schizophrenia, but it is unclear when these changes arise over the course of the disease. Nearly all studies reported to date have been cross-sectional, so despite their large sample sizes, they cannot determine whether changes accumulate as a degenerative process or patients with preexisting white matter damage are predisposed to more chronic forms of schizophrenia.</div></div><div><h3>Methods</h3><div>We examined 160 scans comprising 2 years of annual follow-up data from 42 control participants and 28 patients with schizophrenia recruited in the first 2 years since their diagnosis, totaling 2 to 3 scans per participant. We also examined 6-month follow-up data obtained from an ultra-high field (7T) scanner (68 scans; <em>n</em> = 19 patients with first-episode schizophrenia, <em>n</em> = 15 control participants) as a validation dataset. A longitudinal model was used to compare the trajectory of diffusion tensor parameters in patients and control participants.</div></div><div><h3>Results</h3><div>Positive and negative symptom scores were correlated with diffusion parameters using region of interest-based approaches. No longitudinal differences between patients and control participants were observed for any diffusion tensor imaging parameter in either dataset. However, we did observe consistent associations between white matter alterations and negative symptoms in both datasets.</div></div><div><h3>Conclusions</h3><div>White matter does not appear to be susceptible to schizophrenia-linked degeneration in the early stages of disease, but preexisting pathology may be linked to disease severity.</div></div>","PeriodicalId":72373,"journal":{"name":"Biological psychiatry global open science","volume":"5 3","pages":"Article 100472"},"PeriodicalIF":4.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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