Biological psychiatry. Cognitive neuroscience and neuroimaging最新文献

{"title":"Obsessive-Compulsive Disorder Comorbid With or Without Obsessive-Compulsive Personality Disorder: Conceptual Implications, Clinical Correlates, and Brain Morphometries.","authors":"Chen Zhang, Zongfeng Zhang, Rui Gao, Yongjun Chen, Xuan Cao, Xianghan Yi, Qing Fan","doi":"10.1016/j.bpsc.2024.09.010","DOIUrl":"10.1016/j.bpsc.2024.09.010","url":null,"abstract":"<p><strong>Background: </strong>Obsessive-compulsive disorder (OCD) is often comorbid with obsessive-compulsive personality disorder (OCPD). The relationship between OCD and OCPD is complex, and the impact of comorbid OCPD on OCD remains underexplored, necessitating further research. In this study, we aimed to investigate the clinical correlates and brain morphometries associated with comorbid OCPD in a large sample of unmedicated patients with OCD.</p><p><strong>Methods: </strong>A total of 248 unmedicated patients diagnosed with OCD (45 comorbid with OCPD) were included in this study. All participants were assessed for OCD symptoms, OCPD traits, obsessive beliefs, depression, and anxiety. Among them, 145 patients (23 comorbid with OCPD) volunteered to receive magnetic resonance imaging brain scans.</p><p><strong>Results: </strong>Approximately 18% (45/248) of patients with OCD were comorbid for OCPD (OCD+OCPD). Patients with OCD+OCPD exhibited more severe OCD symptoms, obsessive beliefs, depression, and anxiety than OCD patients without OCPD. Additionally, the severity of OCPD was positively correlated with OCD symptoms and obsessive beliefs. Furthermore, patients with OCD+OCPD exhibited increased cortical complexity in the left superior parietal lobule and left precuneus, which mediated the relationship between OCPD and OCD symptoms only in OCD patients without OCPD.</p><p><strong>Conclusions: </strong>The co-occurrence of OCPD may contribute to the heightened severity of psychopathological symptoms and associated brain morphological alterations in patients with OCD, indicating distinct but interrelated constructs between these 2 disorders.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142334317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the Utility of a Functional Magnetic Resonance Imaging Cannabis Cue-Reactivity Paradigm in Treatment-Seeking Adults With Cannabis Use Disorder.","authors":"Gregory L Sahlem, Logan T Dowdle, Nathaniel L Baker, Brian J Sherman, Kevin M Gray, Aimee L McRae-Clark, Brett Froeliger, Lindsay M Squeglia","doi":"10.1016/j.bpsc.2024.09.006","DOIUrl":"10.1016/j.bpsc.2024.09.006","url":null,"abstract":"<p><strong>Background: </strong>Functional magnetic resonance imaging studies examining cue reactivity in cannabis use disorder (CUD) either have had small sample sizes or have involved non-treatment-seeking participants. As a secondary analysis, we administered a functional magnetic resonance imaging cue-reactivity task to participants with CUD enrolled in 2 separate clinical trials (varenicline or repetitive transcranial magnetic stimulation) to determine the task activation patterns for treatment-seeking participants with CUD. We aimed to determine the activation patterns for the total sample and behavioral correlates. We additionally compared studies to determine if patterns were consistent.</p><p><strong>Methods: </strong>Treatment-seeking participants with moderate or severe CUD had behavioral craving measured at baseline using the Marijuana Craving Questionnaire-Short Form and completed a visual cannabis cue-reactivity task during functional magnetic resonance imaging (measuring the blood oxygen level-dependent response) following 24 hours of cannabis abstinence.</p><p><strong>Results: </strong>The sample included 65 participants (n = 37: varenicline trial; n = 28: repetitive transcranial magnetic stimulation trial; 32% female; mean age = 30.4 ± 9.9 years). When comparing cannabis images versus matched neutral images, participants showed greater blood oxygen level-dependent response in bilateral ventromedial-prefrontal, dorsolateral-prefrontal, anterior cingulate, and visual cortices as well as the striatum. There was stronger task-based functional connectivity between the medial prefrontal cortex and both the amygdala and the visual cortex. Craving negatively correlated with blood oxygen level-dependent response in the left ventral striatum (R² = -0.32; p = .01) in the full sample. There were no significant differences in either activation or task-based functional connectivity between studies.</p><p><strong>Conclusions: </strong>In 2 separate treatment-seeking groups with CUD, there was increased cannabis cue reactivity and task-based functional connectivity in regions related to executive function and reward processing. Cannabis craving was negatively associated with cue reactivity in the left ventral striatum.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142334316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Altered Development of the Hurst Exponent in the Medial Prefrontal Cortex in Preschoolers With Autism.","authors":"Annika C Linke, Bosi Chen, Lindsay Olson, Michaela Cordova, Molly Wilkinson, Tiffany Wang, Meagan Herrera, Madison Salmina, Adriana Rios, Judy Mahmalji, Tess Do, Jessica Vu, Michelle Budman, Alexis Walker, Inna Fishman","doi":"10.1016/j.bpsc.2024.09.003","DOIUrl":"10.1016/j.bpsc.2024.09.003","url":null,"abstract":"<p><strong>Background: </strong>Atypical balance of excitation (E) and inhibition (I) in the brain is thought to contribute to the emergence and symptomatology of autism spectrum disorder (ASD). E/I ratio can be estimated from resting-state functional magnetic resonance imaging (fMRI) using the Hurst exponent, H. A recent study reported decreased ventromedial prefrontal cortex (vmPFC) H in male adults with ASD. Part of the default mode network (DMN), the vmPFC plays an important role in emotion regulation, decision making, and social cognition. It frequently shows altered function and connectivity in individuals with autism.</p><p><strong>Methods: </strong>The current study presents the first fMRI evidence of altered early development of vmPFC H and its link to DMN functional connectivity and emotional control in toddlers and preschoolers with ASD. A total of 83 children (45 with ASD), ages 1.5-5 years, underwent natural sleep fMRI as part of a longitudinal study.</p><p><strong>Results: </strong>In a cross-sectional analysis, vmPFC H decreased with age in children with ASD, reflecting increasing E/I ratio, but not in typically developing children. This effect remained significant when controlling for gestational age at birth, socioeconomic status, or ethnicity. The same pattern was also observed in a subset of children with longitudinal fMRI data acquired 2 years apart on average. Lower vmPFC H was also associated with reduced functional connectivity within the DMN as well as with higher emotional control deficits (although only significant transdiagnostically).</p><p><strong>Conclusions: </strong>These results suggest an early onset of E/I imbalances in the vmPFC in ASD, with likely consequences for the maturation of the DMN.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142303305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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, LiHua Xu, YanYan Wei, HuiRu Cui, XiaoChen Tang, YeGang Hu, HaiChun Liu, ZiXuan Wang, Tao Chen, ZhengHui Yi, ChunBo Li, JiJun Wang","doi":"10.1016/j.bpsc.2024.09.002","DOIUrl":"10.1016/j.bpsc.2024.09.002","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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, p = .001) and Neuropsychological Assessment Battery Mazes Test (odds ratio = 0.776, p = .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.</p><p><strong>Conclusions: </strong>These findings highlight the importance of NS in the development of psychosis and suggest specific cognitive domains that are affected by symptom dimensions.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142303310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multitrait Analysis to Decipher the Intertwined Genetic Architecture of Neuroanatomical Phenotypes and Psychiatric Disorders.","authors":"Antoine Auvergne, Nicolas Traut, Léo Henches, Lucie Troubat, Arthur Frouin, Christophe Boetto, Sayeh Kazem, Hanna Julienne, Roberto Toro, Hugues Aschard","doi":"10.1016/j.bpsc.2024.08.018","DOIUrl":"10.1016/j.bpsc.2024.08.018","url":null,"abstract":"<p><strong>Background: </strong>There is increasing evidence of shared genetic factors between psychiatric disorders and brain magnetic resonance imaging (MRI) phenotypes. However, deciphering the joint genetic architecture of these outcomes has proven to be challenging, and new approaches are needed to infer the genetic structures that may underlie those phenotypes. Multivariate analyses are a meaningful approach to reveal links between MRI phenotypes and psychiatric disorders missed by univariate approaches.</p><p><strong>Methods: </strong>First, we conducted univariate and multivariate genome-wide association studies for 9 MRI-derived brain volume phenotypes in 20,000 UK Biobank participants. Next, we performed various complementary enrichment analyses to assess whether and how univariate and multitrait approaches could distinguish disorder-associated and non-disorder-associated variants from 6 psychiatric disorders: bipolar disorder, attention-deficit/hyperactivity disorder, autism, schizophrenia, obsessive-compulsive disorder, and major depressive disorder. Finally, we conducted a clustering analysis of top associated variants based on their MRI multitrait association using an optimized k-medoids approach.</p><p><strong>Results: </strong>A univariate MRI genome-wide association study revealed only negligible genetic correlations with psychiatric disorders, while a multitrait genome-wide association study identified multiple new associations and showed significant enrichment for variants related to both attention-deficit/hyperactivity disorder and schizophrenia. Clustering analyses also detected 2 clusters that showed not only enrichment for association with attention-deficit/hyperactivity disorder and schizophrenia but also a consistent direction of effects. Functional annotation analyses of those clusters pointed to multiple potential mechanisms, suggesting in particular a role of neurotrophin pathways in both MRI phenotypes and schizophrenia.</p><p><strong>Conclusions: </strong>Our results show that multitrait association signature can be used to infer genetically driven latent MRI variables associated with psychiatric disorders, thereby opening paths for future biomarker development.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142303307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivariate Association Between Functional Connectivity Gradients and Cognition in Schizophrenia Spectrum Disorders.","authors":"Ju-Chi Yu, Colin Hawco, Lucy Bassman, Lindsay D Oliver, Miklos Argyelan, James M Gold, Sunny X Tang, George Foussias, Robert W Buchanan, Anil K Malhotra, Stephanie H Ameis, Aristotle N Voineskos, Erin W Dickie","doi":"10.1016/j.bpsc.2024.09.001","DOIUrl":"10.1016/j.bpsc.2024.09.001","url":null,"abstract":"<p><strong>Background: </strong>Schizophrenia spectrum disorders (SSDs), which are characterized by social cognitive deficits, have been associated with dysconnectivity in unimodal (e.g., visual, auditory) and multimodal (e.g., default mode and frontoparietal) cortical networks. However, little is known about how such dysconnectivity is related to social and nonsocial cognition and how such brain-behavior relationships associate with clinical outcomes of SSDs.</p><p><strong>Methods: </strong>We analyzed cognitive (nonsocial and social) measures and resting-state functional magnetic resonance imaging data from the SPINS [Social Processes Initiative in Neurobiology of the Schizophrenia(s)] study (247 stable participants with SSDs and 172 healthy control participants, ages 18-55 years). We extracted gradients from parcellated connectomes and examined the association between the first 3 gradients and the cognitive measures using partial least squares correlation (PLSC). We then correlated the PLSC dimensions with functioning and symptoms in the SSD group.</p><p><strong>Results: </strong>The SSD group showed significantly lower differentiation on all 3 gradients. The first PLSC dimension explained 68.53% (p < .001) of the covariance and showed a significant difference between the SSD and the control group (bootstrap p < .05). PLSC showed that all cognitive measures were associated with gradient scores of unimodal and multimodal networks (gradient 1); auditory, sensorimotor, and visual networks (gradient 2); and perceptual networks and the striatum (gradient 3), which were less differentiated in SSDs. Furthermore, the first dimension was positively correlated with negative symptoms and functioning in the SSD group.</p><p><strong>Conclusions: </strong>These results suggest a potential role of lower differentiation of brain networks in cognitive and functional impairments in SSDs.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142303308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diverging Effects of Violence Exposure and Psychiatric Symptoms on Amygdala-Prefrontal Maturation During Childhood and Adolescence.","authors":"Taylor J Keding, Justin D Russell, Xiaojin Zhu, Quanfa He, James J Li, Ryan J Herringa","doi":"10.1016/j.bpsc.2024.08.003","DOIUrl":"10.1016/j.bpsc.2024.08.003","url":null,"abstract":"<p><strong>Background: </strong>Violence exposure during childhood and adolescence is associated with increased prevalence and severity of psychopathology. Neurobiological correlates suggest that abnormal maturation of emotion-related brain circuitry, such as the amygdala-prefrontal cortex (PFC) circuit, may underlie the development of psychiatric symptoms after exposure. However, it remains unclear how amygdala-PFC circuit maturation is related to psychiatric risk in the context of violence.</p><p><strong>Methods: </strong>In this study, we analyzed individual differences in amygdala-PFC circuit maturity using data collected from the PNC (Philadelphia Neurodevelopmental Cohort) (n = 1133 youths). Neurodevelopment models of amygdala-PFC resting-state functional connectivity were built using deep learning and trained to predict chronological age in typically developing youths (not violence exposed and without a psychiatric diagnosis). Using the brain age gap estimate, an index of relative circuit maturation, patterns of atypical neurodevelopment were investigated.</p><p><strong>Results: </strong>Violence exposure was associated with delayed maturation of basolateral amygdala (BLA)-PFC circuits, driven by increased BLA-medial orbitofrontal cortex functional connectivity. In contrast, increased psychiatric symptoms were associated with advanced maturation of BLA-PFC functional connectivity, driven by decreased BLA-dorsolateral PFC functional connectivity.</p><p><strong>Conclusions: </strong>Delayed frontoamygdala maturation after exposure to violence suggests atypical, but adaptive, development of threat appraisal processes, potentially reflecting a greater threat generalization characteristic of younger children. Advanced circuit maturation with increasing symptoms suggests divergent neurodevelopmental mechanisms underlying illness after emotion circuits have adapted to adversity, exacerbated by preexisting vulnerabilities to early maturation. Disentangling the effects of adversity and psychopathology on neurodevelopment is crucial for helping youths recover from violence and preventing illness from continuing into adulthood.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"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, David Coghill, Silke Lux, Alexandra Philipsen, Tim Silk","doi":"10.1016/j.bpsc.2024.08.015","DOIUrl":"10.1016/j.bpsc.2024.08.015","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>Quantitative susceptibility mapping data (3T) of 111 participants (n_ADHD = 58, mean [SD] age = 13.2 [0.63] years; n_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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142115864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"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":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generalized Slowing of Resting-State Neural Oscillations in People With Schizophrenia.","authors":"Scott R Sponheim, Ian S Ramsay, Peter A Lynn, Sophia Vinogradov","doi":"10.1016/j.bpsc.2024.08.007","DOIUrl":"10.1016/j.bpsc.2024.08.007","url":null,"abstract":"<p><strong>Background: </strong>Recent interest in how neural oscillations reflect the flow of information through the brain has led to partitioning electroencephalography (EEG) recordings into periodic (i.e., oscillatory) and aperiodic (i.e., non-oscillatory) components. While both contribute to conventional measures of power within the frequencies that compose EEG recordings, the periodic aspect characterizes true oscillations, the speed of which is thought to be critical to efficient functioning of neural systems. Given evidence of EEG power abnormalities in schizophrenia (SCZ), we sought to determine whether the periodic aspect of EEG was aberrant in people with SCZ and could serve as a general measure of brain efficiency.</p><p><strong>Methods: </strong>Resting-state EEGs were gathered from 104 participants with SCZ and 105 healthy control participants. We used the FOOOF toolbox to remove aperiodic neural activity. We computed the cross-correlation between power spectra for individual participants and the mean power spectrum for all participants to quantify the relative speed of neural oscillations.</p><p><strong>Results: </strong>Periodic activity in SCZ was shifted toward lower frequencies than control participants during eyes-closed rest. On average, participants with SCZ had a 0.55-Hz shift toward oscillatory slowing across the frequency spectrum that predicted worse perceptual reasoning.</p><p><strong>Conclusions: </strong>Slowed periodic activity at rest is evident in SCZ and may represent inefficient functioning of neural circuits as reflected in worse perceptual reasoning. A slower pace of neural oscillations may be a general limitation on the transmission of information within the brain.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846957/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057539","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}