Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

{"title":"Assessing Brain Iron and Its Relationship to Cognition and Comorbidity in Children With Attention-Deficit/Hyperactivity Disorder With Quantitative Susceptibility Mapping","authors":"Marcel Schulze ,&nbsp;David Coghill ,&nbsp;Silke Lux ,&nbsp;Alexandra Philipsen ,&nbsp;Tim Silk","doi":"10.1016/j.bpsc.2024.08.015","DOIUrl":"10.1016/j.bpsc.2024.08.015","url":null,"abstract":"<div><h3>Background</h3><div>Quantitative susceptibility mapping is a neuroimaging technique that detects local changes in magnetic susceptibility induced by brain iron. Brain iron and the dopaminergic system are linked because iron is an important cofactor for dopamine synthesis. Attention-deficit/hyperactivity disorder (ADHD) is associated with dysregulation of dopaminergic transmission. Therefore, we applied quantitative susceptibility mapping on subcortical structures to study potential alterations in brain iron and its impact on cognition and mental health in children with ADHD.</div></div><div><h3>Methods</h3><div>Quantitative susceptibility mapping data (3T) of 111 participants (<em>n</em>_ADHD = 58, mean [SD] age = 13.2 [0.63] years; <em>n</em>_Control = 53, mean [SD] age = 13.2 [0.51] years) were analyzed. Subcortical regional brain iron values were extracted. Analysis of variance was used to examine group differences for each region of interest. For dimensional approaches, Pearson correlation analysis was performed across the cohort to examine the association of brain iron with symptoms, mental health, and cognition.</div></div><div><h3>Results</h3><div>No significant differences were found in iron susceptibility between children with ADHD and control children, between children with persistent ADHD and those with remitted ADHD, or between medicated and medication-naïve children. An unexpected finding was that children with an internalizing disorder had significantly higher iron susceptibility, but the result did not survive multiple comparison correction. Higher brain iron was associated with sustained attention, but not inhibition, IQ, or working memory.</div></div><div><h3>Conclusions</h3><div>This is the first study to address brain iron susceptibility and its association with comorbidities and cognition in ADHD. Alterations in brain iron may not fully account for a diagnosis of ADHD but may be an indicator of internalizing problems in children. Alterations in brain iron content in children were linked to detrimental sustained attention and may represent developmental variation in cognition.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 597-606"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142115864","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":"Guide for Authors","authors":"","doi":"10.1016/S2451-9022(25)00150-8","DOIUrl":"10.1016/S2451-9022(25)00150-8","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages A5-A10"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212686","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 Deep Learning–Derived Transdiagnostic Signature Indexing Hypoarousal and Impulse Control: Implications for Treatment Prediction in Psychiatric Disorders","authors":"Hannah Meijs ,&nbsp;Jurjen J. Luykx ,&nbsp;Nikita van der Vinne ,&nbsp;Rien Breteler ,&nbsp;Evian Gordon ,&nbsp;Alexander T. Sack ,&nbsp;Hanneke van Dijk ,&nbsp;Martijn Arns","doi":"10.1016/j.bpsc.2024.07.027","DOIUrl":"10.1016/j.bpsc.2024.07.027","url":null,"abstract":"<div><h3>Background</h3><div>Psychiatric disorders are traditionally classified within diagnostic categories, but this approach has limitations. The Research Domain Criteria (RDoC) constitute a research classification system for psychiatric disorders based on dimensions within domains that cut across these psychiatric diagnoses. The overall aim of RDoC is to better understand mental illness in terms of dysfunction in fundamental neurobiological and behavioral systems, leading to better diagnosis, prevention, and treatment.</div></div><div><h3>Methods</h3><div>A unique electroencephalographic feature, referred to as spindling excessive beta, has been studied in relation to impulse control and sleep as part of the arousal/regulatory system RDoC domain. Here, we studied electroencephalographic frontal beta activity as a potential transdiagnostic biomarker capable of diagnosing and predicting impulse control and sleep problems.</div></div><div><h3>Results</h3><div>We showed in the first dataset (<em>n</em> = 3279) that the probability of having spindling excessive beta, classified by a deep learning algorithm, was associated with poor sleep maintenance and low daytime impulse control. Furthermore, in 2 additional, independent datasets (iSPOT-A [International Study to Predict Optimized Treatment in ADHD], <em>n</em> = 336; iSPOT-D [International Study to Predict Optimized Treatment in Depression], <em>n</em> = 1008), we revealed that conventional frontocentral beta power and/or spindling excessive beta probability, referred to as Brainmarker-III, is associated with a diagnosis of attention-deficit/hyperactivity disorder, with remission to methylphenidate in children with attention-deficit/hyperactivity disorder in a sex-specific manner, and with remission to antidepressant medication in adults with major depressive disorder in a drug-specific manner.</div></div><div><h3>Conclusion</h3><div>Our results demonstrate the value of the RDoC approach in psychiatry research for the discovery of biomarkers with diagnostic and treatment prediction capacities.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 587-596"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141984157","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":"Computational Phenotyping of Effort-Based Decision Making in Unmedicated Adults With Remitted Depression","authors":"Manuel Kuhn ,&nbsp;Emma H. Palermo ,&nbsp;Guillaume Pagnier ,&nbsp;Jacob M. Blank ,&nbsp;David C. Steinberger ,&nbsp;Yinru Long ,&nbsp;Genevieve Nowicki ,&nbsp;Jessica A. Cooper ,&nbsp;Michael T. Treadway ,&nbsp;Michael J. Frank ,&nbsp;Diego A. Pizzagalli","doi":"10.1016/j.bpsc.2025.02.006","DOIUrl":"10.1016/j.bpsc.2025.02.006","url":null,"abstract":"<div><h3>Background</h3><div>Reduced motivation is a core feature of major depressive disorder (MDD). Yet, the extent to which this deficit persists in remitted MDD (rMDD) remains unclear. Here, we examined effort-based decision making as one aspect of amotivation in rMDD using computational phenotyping to characterize decision-making processes and strategies.</div></div><div><h3>Methods</h3><div>Unmedicated adults with rMDD (<em>n</em> = 40) and healthy control (HC) participants (<em>n</em> = 68) completed the Effort Expenditure for Rewards Task. Repeated-measures analysis of variance and computational modeling—including hierarchical drift diffusion modeling and subjective value modeling—were applied to quantify decision-making dynamics in effort allocation across different reward magnitudes and probabilities.</div></div><div><h3>Results</h3><div>Relative to HC participants, participants with rMDD made overall fewer hard task choices, with an attenuated effect when accounting for anhedonia. However, specific to high reward, high probability conditions, participants with rMDD chose to expend effort more often than HC participants. This was supported by the drift diffusion model results revealing that participants with rMDD showed a drift rate biased toward selecting the easy task, counteracted by heightened influence of reward probability and magnitude. Probed with the subjective value model, this was not driven by group differences in decision strategies with respect to magnitude and probability information use.</div></div><div><h3>Conclusions</h3><div>Collectively, these findings suggest that while individuals with rMDD exhibit persistent motivational deficits, they retain a heightened sensitivity to high-value rewards, requiring more substantial or certain rewards to engage in effortful tasks. This pattern may reflect impairments in reward processing and effort-cost computations, contributing to motivational dysfunction. Targeting reward sensitivity and effort allocation could be valuable for interventions aimed at preventing MDD relapse.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 607-615"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517674","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":"Claustrum Volumes Are Lower in Schizophrenia and Mediate Patients’ Attentional Deficits","authors":"David Schinz ,&nbsp;Antonia Neubauer ,&nbsp;Rebecca Hippen ,&nbsp;Julia Schulz ,&nbsp;Hongwei Bran Li ,&nbsp;Melissa Thalhammer ,&nbsp;Benita Schmitz-Koep ,&nbsp;Aurore Menegaux ,&nbsp;Jil Wendt ,&nbsp;Sevilay Ayyildiz ,&nbsp;Felix Brandl ,&nbsp;Josef Priller ,&nbsp;Michael Uder ,&nbsp;Claus Zimmer ,&nbsp;Dennis M. Hedderich ,&nbsp;Christian Sorg","doi":"10.1016/j.bpsc.2024.11.013","DOIUrl":"10.1016/j.bpsc.2024.11.013","url":null,"abstract":"<div><h3>Background</h3><div>While the last decade of extensive research revealed the prominent role of the claustrum for mammalian forebrain organization (i.e., widely distributed claustral-cortical circuits coordinate basic cognitive functions such as attention), it is poorly understood whether the claustrum is relevant for schizophrenia and related cognitive symptoms. We hypothesized that claustrum volumes are lower in schizophrenia and also that potentially lower volumes mediate patients’ attention deficits.</div></div><div><h3>Methods</h3><div>Based on T1-weighted magnetic resonance imaging, advanced automated claustrum segmentation, and attention symbol coding task in 90 patients with schizophrenia and 96 healthy control participants from 2 independent sites, the COBRE open-source database and Munich dataset, we compared total intracranial volume–normalized claustrum volumes and symbol coding task scores across groups via analysis of covariance and related variables via correlation and mediation analysis.</div></div><div><h3>Results</h3><div>Patients had lower claustrum volumes of about 13% (<em>p</em> &lt; .001, Hedges’ <em>g =</em> 0.63), which not only correlated with (<em>r</em> = 0.24, <em>p</em> = .014) but also mediated lower symbol coding task scores (indirect effect ab = −1.30 ± 0.69; 95% CI, −3.73 to −1.04). Results were not confounded by age, sex, global and claustrum-adjacent gray matter changes, scanner site, smoking, and medication.</div></div><div><h3>Conclusions</h3><div>Results demonstrate lower claustrum volumes that mediate patients’ attention deficits in schizophrenia. Data indicate the claustrum as being relevant for schizophrenia pathophysiology and cognitive functioning.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 637-645"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142752459","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":"Individualized Spectral Features in First-Episode and Drug-Naïve Major Depressive Disorder: Insights From Periodic and Aperiodic Electroencephalography Analysis","authors":"Jiaxin Li ,&nbsp;Dongsheng Xiong ,&nbsp;Chenyang Gao ,&nbsp;Yuanyuan Huang ,&nbsp;Zhaobo Li ,&nbsp;Jing Zhou ,&nbsp;Yuping Ning ,&nbsp;Fengchun Wu ,&nbsp;Kai Wu","doi":"10.1016/j.bpsc.2024.12.014","DOIUrl":"10.1016/j.bpsc.2024.12.014","url":null,"abstract":"<div><h3>Background</h3><div>The detection of abnormal brain activity plays an important role in the early diagnosis and treatment of major depressive disorder (MDD). Recent studies have shown that the decomposition of the electroencephalography (EEG) spectrum into periodic and aperiodic components is useful for identifying the drivers of electrophysiologic abnormalities and avoiding individual differences.</div></div><div><h3>Methods</h3><div>In this study, we aimed to elucidate the pathological changes in individualized periodic and aperiodic activities and their relationships with the symptoms of MDD. EEG data in the eyes-closed resting state were continuously recorded from 97 first-episode and drug-naïve patients with MDD and 90 healthy control participants. Both periodic oscillations and aperiodic components were obtained via the fitting oscillations and one-over f (FOOOF) algorithm and then used to compute individualized spectral features.</div></div><div><h3>Results</h3><div>Patients with MDD presented higher canonical alpha and beta band power but lower aperiodic-adjusted alpha and beta power. Furthermore, we found that alpha power was strongly correlated with the age of patients but not with disease symptoms. The aperiodic intercept was lower in the parieto-occipital region and was positively correlated with Hamilton Depression Rating Scale scores after accounting for age and sex. In the asymmetry analysis, alpha activity appeared asymmetrical only in the healthy control group, whereas aperiodic activity was symmetrical in both groups.</div></div><div><h3>Conclusions</h3><div>The findings of this study provide insights into the role of abnormal neural spiking activity and impaired neuroplasticity in MDD progression and suggest that the aperiodic intercept in resting-state EEG may be a potential biomarker of MDD.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 574-586"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142960150","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":"Adjustment of Regional Cortical Thickness Measures for Global Cortical Thickness Obscures Deficits Across the Schizophrenia Spectrum: A Cautionary Note About Normative Modeling of Brain Imaging Data","authors":"Jessica P.Y. Hua ,&nbsp;Susanna L. Fryer ,&nbsp;Barbara Stuart ,&nbsp;Rachel L. Loewy ,&nbsp;Sophia Vinogradov ,&nbsp;Daniel H. Mathalon","doi":"10.1016/j.bpsc.2024.06.001","DOIUrl":"10.1016/j.bpsc.2024.06.001","url":null,"abstract":"<div><div>Recent neuroimaging studies and publicly disseminated analytic tools suggest that regional morphometric analyses covary for global thickness. We empirically demonstrated that this statistical approach severely underestimates regional thickness dysmorphology in psychiatric disorders. Study 1 included 90 healthy control participants, 51 participants at clinical high risk for psychosis, and 78 participants with early-illness schizophrenia. Study 2 included 56 healthy control participants, 83 participants with nonaffective psychosis, and 30 participants with affective psychosis. We examined global and regional thickness correlations, global thickness group differences, and regional thickness group differences with and without global thickness covariation. Global and regional thickness were strongly correlated across groups. Global thickness was lower in the schizophrenia spectrum groups than the other groups. Regional thickness deficits in schizophrenia spectrum groups were attenuated or eliminated with global thickness covariation. Eliminating the variation that regional thickness shares with global thickness eliminated disease-related effects. This statistical approach results in erroneous conclusions that regional thickness is normal in disorders like schizophrenia or clinical high risk syndrome.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 666-672"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141441226","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":"Baby Versus Bathwater: Avoiding Type II Error in Structural Neuroimaging Studies","authors":"Joshua L. Roffman","doi":"10.1016/j.bpsc.2025.04.003","DOIUrl":"10.1016/j.bpsc.2025.04.003","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 562-564"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212273","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":"Functional Magnetic Resonance Imaging–Specific Alternations in the Default Mode Network in Obsessive-Compulsive Disorder: A Voxel-Based Meta-Analysis","authors":"Jianping Yu,&nbsp;Qianwen Xu,&nbsp;Lisha Ma,&nbsp;Yueqi Huang,&nbsp;Wenjing Zhu,&nbsp;Yan Liang,&nbsp;Yunzhan Wang,&nbsp;Wenxin Tang,&nbsp;Cheng Zhu,&nbsp;Xiaoying Jiang","doi":"10.1016/j.bpsc.2024.12.001","DOIUrl":"10.1016/j.bpsc.2024.12.001","url":null,"abstract":"<div><h3>Background</h3><div>Obsessive-compulsive disorder (OCD) is a common and debilitating mental disorder. Neuroimaging studies have highlighted that a dysfunctional default mode network (DMN) plays a key role in the pathophysiological mechanisms of OCD. However, findings of impaired DMN regions in OCD have been inconsistent. We used meta-analysis to identify functional magnetic resonance imaging (fMRI)–specific abnormalities of the DMN in OCD.</div></div><div><h3>Methods</h3><div>PubMed, Web of Science, and Embase were searched to screen resting-state fMRI studies of the amplitude of low-frequency fluctuation/fractional amplitude of low-frequency fluctuation (ALFF/fALFF) and regional homogeneity of the DMN in patients with OCD. Based on the activation likelihood estimation algorithm, we compared all patients with OCD and a control group in a primary meta-analysis and analyzed unmedicated OCD patients without comorbidities in secondary meta-analyses.</div></div><div><h3>Results</h3><div>A total of 26 eligible studies with 1219 patients with OCD (707 men) and 1238 healthy control participants (684 men) were included in the primary meta-analysis. We identified specific changes in brain regions of the DMN, mainly in the left medial frontal gyrus, bilateral superior temporal gyrus, bilateral inferior parietal lobule, bilateral precuneus, bilateral posterior cingulate cortex, and right parahippocampal gyrus.</div></div><div><h3>Conclusions</h3><div>Patients with OCD showed dysfunction in the DMN, including impaired local important nodal brain regions. The parietal cingulate cortex/precuneus appeared to be the most affected regions within the DMN, providing valuable insights into understanding the potential pathophysiology of OCD and targets for clinical interventions.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Pages 626-636"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142831220","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)00146-6","DOIUrl":"10.1016/S2451-9022(25)00146-6","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 6","pages":"Page A1"},"PeriodicalIF":5.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212634","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}