Ekaterina Shatalina , Thomas Whitehurst , Ellis Chika Onwordi , Alexander Whittington , Ayla Mansur , Atheeshaan Arumuham , Tiago Reis Marques , Roger N. Gunn , Sridhar Natesan , Matthew M. Nour , Eugenii A. Rabiner , Matthew B. Wall , Oliver D. Howes
{"title":"Mitochondria and Cognition: An [18F]BCPP-EF Positron Emission Tomography Study of Mitochondrial Complex I Levels and Brain Activation During Task Switching","authors":"Ekaterina Shatalina , Thomas Whitehurst , Ellis Chika Onwordi , Alexander Whittington , Ayla Mansur , Atheeshaan Arumuham , Tiago Reis Marques , Roger N. Gunn , Sridhar Natesan , Matthew M. Nour , Eugenii A. Rabiner , Matthew B. Wall , Oliver D. Howes","doi":"10.1016/j.bpsc.2025.02.007","DOIUrl":"10.1016/j.bpsc.2025.02.007","url":null,"abstract":"<div><h3>Background</h3><div>Mitochondrial complex I is the largest enzyme complex in the respiratory chain and can be noninvasively measured using [<sup>18</sup>F]BCPP-EF positron emission tomography (PET). Neurological conditions associated with mitochondria complex I pathology are also associated with altered blood oxygen level–dependent (BOLD) response and impairments in cognition. In this study, we aimed to investigate the relationship between mitochondrial complex I levels, cognitive function, and associated neural activity during task switching in healthy humans.</div></div><div><h3>Methods</h3><div>Cognitively healthy adults (<em>N</em> = 23) underwent [<sup>18</sup>F]BCPP-EF PET scans and functional magnetic resonance imaging (fMRI) while performing a task-switching exercise. Task performance metrics included switch cost and switching accuracy. Data were analyzed using linear mixed-effects models and partial least squares regression (PLS-R).</div></div><div><h3>Results</h3><div>We found significant positive associations between [<sup>18</sup>F]BCPP-EF volume of distribution (V<sub>T</sub>) and the task-switching fMRI response (β = 3.351, SE = 1.01, <em>z</em> = 3.249, <em>p</em> = .001). Positive Pearson’s correlations between [<sup>18</sup>F]BCPP-EF V<sub>T</sub> and the fMRI response were observed in the dorsolateral prefrontal cortex (<em>r</em> = 0.61, <em>p</em> = .0019), insula (<em>r</em> = 0.46, <em>p</em> = .0264), parietal precuneus (<em>r</em> = 0.51, <em>p</em> = .0139), and anterior cingulate cortex (<em>r</em> = 0.45, <em>p</em> = .0293). [<sup>18</sup>F]BCPP-EF V<sub>T</sub> across task-relevant regions was associated with task switching accuracy (PLS-R, <em>R</em><sup>2</sup> = 0.48, root mean square error [RMSE] = 0.154, <em>p</em> = .011) and with switch cost (PLS-R, <em>R</em><sup>2</sup> = 0.38, RMSE = 0.07, <em>p</em> = .048).</div></div><div><h3>Conclusions</h3><div>Higher mitochondrial complex I levels may underlie an individual’s ability to exhibit a stronger BOLD response during task switching and are associated with better task-switching performance. This provides the first evidence linking the BOLD response with mitochondrial complex I and suggests a possible biological mechanism for the aberrant BOLD response in conditions associated with mitochondrial complex I dysfunction that should be tested in future studies.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 8","pages":"Pages 823-832"},"PeriodicalIF":4.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517610","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":"Transdiagnostic and Disorder-Specific Neural Correlates of Emotion Processing in Major Depressive Disorder and Borderline Personality Disorder: Coordinate-Based and Image-Based Comparative Meta-Analyses","authors":"Wanrong Peng , Suyao Liu , Jinyao Yi","doi":"10.1016/j.bpsc.2025.03.009","DOIUrl":"10.1016/j.bpsc.2025.03.009","url":null,"abstract":"<div><h3>Background</h3><div>Major depressive disorder (MDD) and borderline personality disorder (BPD) involve substantial impairments in negative and positive emotion processing. This meta-analysis aims to identify both transdiagnostic and disorder-specific neural abnormalities during the processing of negative and positive stimuli for MDD and BPD.</div></div><div><h3>Methods</h3><div>The current coordinate-based and image-based meta-analyses comprised 42 functional magnetic resonance imaging studies involving MDD (42 negative studies vs. 22 positive studies; 1532 patients with MDD vs. 1481 healthy controls) and 25 involving BPD (23 negative studies vs. 7 positive studies; 522 patients with BPD vs. 519 healthy controls).</div></div><div><h3>Results</h3><div>Compared with healthy controls, patients with MDD exhibited hyporeactivity in the left precentral gyrus during negative emotion processing and decreased activation in left temporal lobe, insula, and bilateral anterior cingulate cortex during positive emotion processing, while patients with BPD displayed hyperreactivity in the left hippocampus and amygdala and hyporeactivity in the right inferior frontal gyrus during negative emotion processing. Compared with BPD, patients with MDD exhibited greater hyporeactivity in the bilateral anterior cingulate cortex during negative emotion processing and in the left middle temporal gyrus during positive emotion processing. The transdiagnostic hyporeactivity of BPD and MDD was mainly located in the left inferior and right middle frontal gyrus during negative emotion processing.</div></div><div><h3>Conclusions</h3><div>Our findings highlight both distinct and transdiagnostic neural mechanisms of emotion processing in MDD and BPD.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 8","pages":"Pages 883-894"},"PeriodicalIF":4.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782275","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}
Kevin Handoko , Alyssa Neppach , Ian Snyder , Helmet T. Karim , Alexandre Y. Dombrovski , Marta Peciña
{"title":"Expectancy-Mood Neural Dynamics Predict Mechanisms of Short- and Long-Term Antidepressant Placebo Effects","authors":"Kevin Handoko , Alyssa Neppach , Ian Snyder , Helmet T. Karim , Alexandre Y. Dombrovski , Marta Peciña","doi":"10.1016/j.bpsc.2025.01.002","DOIUrl":"10.1016/j.bpsc.2025.01.002","url":null,"abstract":"<div><h3>Background</h3><div>Acute experimental models of antidepressant placebo effects suggest that expectancies, encoded within the salience network (SN), are reinforced by sensory evidence and mood fluctuations. However, whether these dynamics extend to longer timescales remains unknown. To answer this question, we investigated how SN and default mode network (DMN) functional connectivity during the processing of antidepressant expectancies facilitates the shift from salience attribution to contextual cues in the SN to belief-induced mood responses in the DMN, both acutely and long term.</div></div><div><h3>Methods</h3><div>Sixty psychotropic-free patients with major depressive disorder completed an acute antidepressant placebo functional magnetic resonance imaging experiment manipulating placebo-associated expectancies and their reinforcement while assessing trial-by-trial mood improvement before entering an 8-week double-blind, randomized, placebo-controlled trial of a selective serotonin reuptake inhibitor or placebo.</div></div><div><h3>Results</h3><div>Learned antidepressant expectancies predicted by a reinforcement learning model modulated SN-DMN connectivity. Acutely, greater modulation predicted higher effects of expectancy and reinforcement manipulations on reported expectancies and mood. Over 8 weeks, no significant drug effects on mood improvement were observed. However, participants who believed that they were receiving an antidepressant exhibited significantly greater mood improvement irrespective of the actual treatment received. Moreover, increased SN-DMN connectivity predicted mood improvement, especially in placebo-treated participants who believed that they received a selective serotonin reuptake inhibitor.</div></div><div><h3>Conclusions</h3><div>SN-DMN interactions may play a critical role in the evolution of antidepressant response expectancies, drug-assignment beliefs, and their effects on mood.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 8","pages":"Pages 794-803"},"PeriodicalIF":4.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142980856","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}
Kathrin Koch , Daniela Rodriguez Manrique , Sandra Gigl , Hanyang Ruan , Deniz A. Gürsel , Georgiana Rus-Oswald , Tim Reess , Götz Berberich
{"title":"Decoding Obsessive-Compulsive Disorder: The Regional Vulnerability Index and Its Association With Clinical Symptoms","authors":"Kathrin Koch , Daniela Rodriguez Manrique , Sandra Gigl , Hanyang Ruan , Deniz A. Gürsel , Georgiana Rus-Oswald , Tim Reess , Götz Berberich","doi":"10.1016/j.bpsc.2025.01.013","DOIUrl":"10.1016/j.bpsc.2025.01.013","url":null,"abstract":"<div><h3>Background</h3><div>Patients with obsessive-compulsive disorder (OCD) exhibit notable alterations in brain structure, which are likely to be of clinical relevance. Recently, in schizophrenia, the regional vulnerability index (RVI) was introduced to translate findings from ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) studies to the individual level. Building on this framework, in the current study, we sought to investigate whether the RVI might also serve as a vulnerability index for OCD.</div></div><div><h3>Methods</h3><div>Toward this aim, we assessed subcortical volume and cortical thickness in a sample of 250 participants (140 patients with OCD, 110 healthy volunteers) and calculated the RVI by leveraging ENIGMA-derived deficits as the “ground truth” for expected regional brain alterations.</div></div><div><h3>Results</h3><div>Subcortical volume and cortical thickness RVI values were significantly different in patients compared with healthy control participants. In addition, RVI values based on subcortical volume were significantly correlated with the severity of clinical symptoms. Moreover, RVI values for both subcortical volume and cortical thickness were significantly different in medicated subgroups while there was no significant difference in unmedicated patients.</div></div><div><h3>Conclusions</h3><div>The current results suggest that the RVI may represent an individual characteristic that reflects the degree of correspondence between individual patterns of structural alterations and disease-characteristic patterns of structural alterations. However, our findings also indicate that relatively large effect sizes in the meta-analytic ground truth are a prerequisite for obtaining a meaningful RVI parameter that can also be related to clinical severity. Therefore, the current findings require further validation through additional research to confirm the RVI’s robustness and determine its predictive value.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 8","pages":"Pages 877-882"},"PeriodicalIF":4.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367121","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}
Cleanthis Michael , Mackenzie E. Mitchell , Arianna D. Cascone , Nicholas D. Fogleman , Keri S. Rosch , Sarah A. Cutts , James J. Pekar , Olaf Sporns , Stewart H. Mostofsky , Jessica R. Cohen
{"title":"Reconfiguration of Functional Brain Network Organization and Dynamics With Changing Cognitive Demands in Children With Attention-Deficit/Hyperactivity Disorder","authors":"Cleanthis Michael , Mackenzie E. Mitchell , Arianna D. Cascone , Nicholas D. Fogleman , Keri S. Rosch , Sarah A. Cutts , James J. Pekar , Olaf Sporns , Stewart H. Mostofsky , Jessica R. Cohen","doi":"10.1016/j.bpsc.2024.11.006","DOIUrl":"10.1016/j.bpsc.2024.11.006","url":null,"abstract":"<div><h3>Background</h3><div>The pathophysiology of attention-deficit/hyperactivity disorder (ADHD) is characterized by atypical brain network organization and dynamics. Although functional brain networks adaptively reconfigure across cognitive contexts, previous studies have largely focused on network dysfunction during the resting state. In this preliminary study, we examined how functional brain network organization and dynamics flexibly reconfigure across rest and 2 cognitive control tasks with different cognitive demands in 30 children with ADHD and 36 typically developing children (ages 8–12 years).</div></div><div><h3>Methods</h3><div>We leveraged graph theoretical analyses to interrogate the segregation (modularity, within-module degree) and integration (global efficiency, node dissociation index) of frontoparietal, cingulo-opercular/salience, default mode, somatomotor, and visual networks. We also conducted edge time series analyses to quantify connectivity dynamics within and between these networks.</div></div><div><h3>Results</h3><div>Across resting and task-based states, children with ADHD demonstrated significantly lower whole-graph modularity and a greater node dissociation index between default mode and visual networks. Furthermore, a significant task-by-diagnosis interaction was observed for frontoparietal network within-module degree, which decreased from rest to task in children with ADHD but increased in typically developing children. Finally, children with ADHD displayed significantly more dynamic connectivity within and across cingulo-opercular/salience, default mode, and somatomotor networks, especially during task performance. Exploratory analyses revealed associations between network dynamics, cognitive performance, and ADHD symptoms.</div></div><div><h3>Conclusions</h3><div>By integrating static and dynamic network analyses across changing cognitive demands, this study provides novel insight into how context-specific, context-general, and timescale-dependent network connectivity is altered in children with ADHD. Our findings highlight the involvement and clinical relevance of both association and sensory/motor systems in ADHD.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 8","pages":"Pages 846-855"},"PeriodicalIF":4.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142677715","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}
Kai-Yen Chang , Martin Tik , Yuki Mizutani-Tiebel , Paul Taylor , Timo van Hattem , Peter Falkai , Frank Padberg , Lucia Bulubas , Daniel Keeser
{"title":"Dose-Dependent Target Engagement of a Clinical Intermittent Theta Burst Stimulation Protocol: An Interleaved Transcranial Magnetic Stimulation–Functional Magnetic Resonance Imaging Study in Healthy People","authors":"Kai-Yen Chang , Martin Tik , Yuki Mizutani-Tiebel , Paul Taylor , Timo van Hattem , Peter Falkai , Frank Padberg , Lucia Bulubas , Daniel Keeser","doi":"10.1016/j.bpsc.2024.08.009","DOIUrl":"10.1016/j.bpsc.2024.08.009","url":null,"abstract":"<div><h3>Background</h3><div>Intermittent theta burst stimulation (iTBS) of the dorsolateral prefrontal cortex (DLPFC) is widely applied as a therapeutic intervention in mental health; however, the understanding of its mechanisms is still incomplete. Prior magnetic resonance imaging (MRI) studies have mainly used offline iTBS or short sequences in concurrent transcranial magnetic stimulation (TMS)–functional MRI (fMRI). This study investigated a full 600-stimuli iTBS protocol using interleaved TMS-fMRI in comparison with 2 control conditions in healthy subjects.</div></div><div><h3>Methods</h3><div>In a crossover design, 18 participants underwent 3 sessions of interleaved iTBS-fMRI: 1) the left DLPFC at 40% resting motor threshold (rMT) intensity, 2) the left DLPFC at 80% rMT intensity, and 3) the left primary motor cortex (M1) at 80% rMT intensity. We compared immediate blood oxygen level–dependent (BOLD) responses during interleaved iTBS-fMRI across these conditions including correlations between individual fMRI BOLD activation and iTBS-induced electric field strength at the target sites.</div></div><div><h3>Results</h3><div>Whole-brain analysis showed increased activation in several regions following iTBS. Specifically, the left DLPFC, as well as the bilateral M1, anterior cingulate cortex, and insula, showed increased activation during 80% rMT left DLPFC stimulation. Increased BOLD activity in the left DLPFC was observed with neither 40% rMT left DLPFC stimulation nor left M1 80% rMT iTBS, whereas activation in other regions was found to overlap between conditions. Of note, BOLD activation and electric field intensities were only correlated for M1 stimulation and not for the DLPFC conditions.</div></div><div><h3>Conclusions</h3><div>This interleaved TMS-fMRI study showed dosage- and target-specific BOLD activation during a 600-stimuli iTBS protocol in healthy individuals. Future studies may use our approach for investigating target engagement in clinical samples.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 8","pages":"Pages 804-813"},"PeriodicalIF":4.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057538","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}
Vera Jane Erchinger , Ole Johan Evjenth Sørhaug , Stein Magnus Aukland , Gunnar Moen , Peter Moritz Schuster , Lars Ersland , Renate Grüner , Ketil J. Oedegaard , Ute Kessler , Olga Therese Ousdal , Leif Oltedal
{"title":"Effects of Electroconvulsive Therapy on Brain Structure: A Neuroradiological Investigation Into White Matter Hyperintensities, Atrophy, and Microbleeds","authors":"Vera Jane Erchinger , Ole Johan Evjenth Sørhaug , Stein Magnus Aukland , Gunnar Moen , Peter Moritz Schuster , Lars Ersland , Renate Grüner , Ketil J. Oedegaard , Ute Kessler , Olga Therese Ousdal , Leif Oltedal","doi":"10.1016/j.bpsc.2024.12.004","DOIUrl":"10.1016/j.bpsc.2024.12.004","url":null,"abstract":"<div><h3>Background</h3><div>Electroconvulsive therapy (ECT) is a well-established treatment for severe depression, but it remains stigmatized due to public perceptions linking it with brain injury. Despite extensive research, the neurobiological mechanisms underlying ECT have not been fully elucidated. Recent findings suggest that ECT may work through disrupting depression circuitry. However, whether ECT is associated with neuroradiological correlates of brain injury, including white matter changes, atrophy, and microbleeds, remains largely unexplored.</div></div><div><h3>Methods</h3><div>We performed magnetic resonance imaging (MRI) scans on 36 ECT patients (19 female), 19 healthy control participants (11 female), and 18 patients with atrial fibrillation (1 female) who were treated with electrical cardioversion while receiving an equivalent anesthetic as the ECT group. Scans were conducted at 4 time points: at baseline, after the first ECT treatment, after the ECT series, and at 6-month follow-up. We evaluated white matter changes using the Fazekas and the age-related white matter changes scales, atrophy using the global cortical atrophy and medial temporal lobe atrophy scales, and cerebral microbleeds using the Microbleed Anatomical Rating Scale. Data were analyzed using nonparametric statistical methods.</div></div><div><h3>Results</h3><div>Patients did not show any changes in radiological scores after ECT (all <em>p</em>s > .1), except for a decrease in microbleeds (<em>p</em> = .05).</div></div><div><h3>Conclusions</h3><div>Utilizing state-of-the-art MRI techniques, we found no significant evidence that ECT induces white matter changes, atrophy, or microbleeds. Thus, although ECT may work through disrupting depression circuitry, the treatment is not associated with neuroradiological signs of brain injury.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 8","pages":"Pages 814-822"},"PeriodicalIF":4.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142873764","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}