Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

{"title":"Guide for Authors","authors":"","doi":"10.1016/S2451-9022(24)00259-3","DOIUrl":"10.1016/S2451-9022(24)00259-3","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 10","pages":"Pages A5-A10"},"PeriodicalIF":5.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424641","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":"Longitudinal Analysis of Brain Function-Structure Dependencies in 22q11.2 Deletion Syndrome and Psychotic Symptoms","authors":"","doi":"10.1016/j.bpsc.2024.05.008","DOIUrl":"10.1016/j.bpsc.2024.05.008","url":null,"abstract":"<div><h3>Background</h3><p>Compared with conventional unimodal analysis, understanding how brain function and structure relate to one another opens a new biologically relevant assessment of neural mechanisms. However, how function-structure dependencies (FSDs) evolve throughout typical and abnormal neurodevelopment remains elusive. The 22q11.2 deletion syndrome (22q11.2DS) offers an important opportunity to study the development of FSDs and their specific association with the pathophysiology of psychosis.</p></div><div><h3>Methods</h3><p>Previously, we used graph signal processing to combine brain activity and structural connectivity measures in adults, quantifying FSD. Here, we combined FSD with longitudinal multivariate partial least squares correlation to evaluate FSD alterations across groups and among patients with and without mild to moderate positive psychotic symptoms. We assessed 391 longitudinally repeated resting-state functional and diffusion-weighted magnetic resonance images from 194 healthy control participants and 197 deletion carriers (ages 7–34 years, data collected over a span of 12 years).</p></div><div><h3>Results</h3><p>Compared with control participants, patients with 22q11.2DS showed a persistent developmental offset from childhood, with regions of hyper- and hypocoupling across the brain. Additionally, a second deviating developmental pattern showed an exacerbation during adolescence, presenting hypocoupling in the frontal and cingulate cortices and hypercoupling in temporal regions for patients with 22q11.2DS. Interestingly, the observed aggravation during adolescence was strongly driven by the group with positive psychotic symptoms.</p></div><div><h3>Conclusions</h3><p>These results confirm a central role of altered FSD maturation in the emergence of psychotic symptoms in 22q11.2DS during adolescence. The FSD deviations precede the onset of psychotic episodes and thus offer a potential early indication for behavioral interventions in individuals at risk.</p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 9","pages":"Pages 882-895"},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451902224001411/pdfft?md5=2c8c72e74c3d172070042be96f6fa4bb&pid=1-s2.0-S2451902224001411-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141289038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are You Maximizing Your Multimodal, Longitudinal Dataset? Toward an Integrated Framework for Advancing Psychosis Research","authors":"Hoki Fung,&nbsp;Gil D. Hoftman","doi":"10.1016/j.bpsc.2024.07.007","DOIUrl":"10.1016/j.bpsc.2024.07.007","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 9","pages":"Pages 849-851"},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142147072","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":"Socioeconomic Disadvantage Moderates the Association of Systemic Inflammation With Amygdala Volume in Adolescents Over a 2-Year Interval: An Exploratory Study","authors":"","doi":"10.1016/j.bpsc.2024.05.002","DOIUrl":"10.1016/j.bpsc.2024.05.002","url":null,"abstract":"<div><h3>Background</h3><p>Research has demonstrated an association between elevated systemic inflammation and changes in brain function. Affective areas of the brain involved in processing threat (e.g., amygdala) and reward (e.g., nucleus accumbens) appear to be sensitive to inflammation. Early-life stress, such as experiencing low socioeconomic status (SES), may also potentiate this association, but relevant evidence has come primarily from cross-sectional studies of brain function. It is unclear whether similar associations are present between early-life stress, inflammation, and brain structure, particularly in typically developing populations.</p></div><div><h3>Methods</h3><p><span>We recruited and assessed 50 adolescents (31 females/19 males) from the community (mean [SD] age = 15.5 [1.1] years, range = 13.1–17.5 years) and examined in exploratory analyses whether changes in C-reactive protein (ΔCRP) from blood spots predict changes in gray matter volume (ΔGMV) in the bilateral amygdala and </span>nucleus accumbens over a 2-year period. We also investigated whether experiencing early-life stress, operationalized using a comprehensive composite score of SES disadvantage at the family and neighborhood levels, significantly moderated the association between ΔCRP and ΔGMV.</p></div><div><h3>Results</h3><p>We found that ΔCRP was negatively associated with Δamygdala GMV (i.e., increasing CRP levels were associated with decreasing amygdala volume; β = −0.84, <em>p</em> = .012). This effect was stronger in youths who experienced greater SES disadvantage (β = −0.56, <em>p</em> = .025).</p></div><div><h3>Conclusions</h3><p>These findings suggest that increases in systemic inflammation are associated with reductions in amygdala GMV in adolescents, potentially signaling accelerated maturation, and that these neuroimmune processes are compounded in adolescents who experienced greater SES disadvantage. Our findings are consistent with theoretical frameworks of neuroimmune associations and suggest that they may influence adolescent neurodevelopment.</p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 9","pages":"Pages 896-904"},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141181701","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":"Examining the Most Important Risk Factors for Predicting Youth Persistent and Distressing Psychotic-Like Experiences","authors":"","doi":"10.1016/j.bpsc.2024.05.009","DOIUrl":"10.1016/j.bpsc.2024.05.009","url":null,"abstract":"<div><h3>Background</h3><p>Persistence and distress distinguish more clinically significant psychotic-like experiences (PLEs) from those that are less likely to be associated with impairment and/or need for care. Identifying risk factors that identify clinically relevant PLEs early in development is important for improving our understanding of the etiopathogenesis of these experiences. Machine learning analyses were used to examine the most important baseline factors distinguishing persistent distressing PLEs.</p></div><div><h3>Methods</h3><p>Using Adolescent Brain Cognitive Development (ABCD) Study data on PLEs from 3 time points (ages 9–13 years), we created the following groups: individuals with persistent distressing PLEs (<em>n</em> = 305), individuals with transient distressing PLEs (<em>n</em> = 374), and individuals with low-level PLEs demographically matched to either the persistent distressing PLEs group (<em>n</em> = 305) or the transient distressing PLEs group (<em>n</em> = 374). Random forest classification models were trained to distinguish persistent distressing PLEs from low-level PLEs, transient distressing PLEs from low-level PLEs, and persistent distressing PLEs from transient distressing PLEs. Models were trained using identified baseline predictors as input features (i.e., cognitive, neural [cortical thickness, resting-state functional connectivity], developmental milestone delays, internalizing symptoms, adverse childhood experiences).</p></div><div><h3>Results</h3><p>The model distinguishing persistent distressing PLEs from low-level PLEs showed the highest accuracy (test sample accuracy = 69.33%; 95% CI, 61.29%–76.59%). The most important predictors included internalizing symptoms, adverse childhood experiences, and cognitive functioning. Models for distinguishing persistent PLEs from transient distressing PLEs generally performed poorly.</p></div><div><h3>Conclusions</h3><p>Model performance metrics indicated that while most important factors overlapped across models (e.g., internalizing symptoms), adverse childhood experiences were especially important for predicting persistent distressing PLEs. Machine learning analyses proved useful for distinguishing the most clinically relevant group from the least clinically relevant group but showed limited ability to distinguish among clinically relevant groups that differed in PLE persistence.</p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 9","pages":"Pages 939-947"},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451902224001423/pdfft?md5=5294427a509cc5105d54eb65cd43cd79&pid=1-s2.0-S2451902224001423-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141289037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Voxelwise Multivariate Analysis of Brain-Psychosocial Associations in Adolescents Reveals 6 Latent Dimensions of Cognition and Psychopathology","authors":"","doi":"10.1016/j.bpsc.2024.03.006","DOIUrl":"10.1016/j.bpsc.2024.03.006","url":null,"abstract":"<div><h3>Background</h3><p>Adolescence heralds the onset of considerable psychopathology, which may be conceptualized as an emergence of altered covariation between symptoms and brain measures. Multivariate methods can detect such modes of covariation or latent dimensions, but none specifically relating to psychopathology have yet been found using population-level structural brain data. Using voxelwise (instead of parcellated) brain data may strengthen latent dimensions’ brain-psychosocial relationships, but this creates computational challenges.</p></div><div><h3>Methods</h3><p>We obtained voxelwise gray matter density and psychosocial variables from the baseline (ages 9–10 years) Adolescent Brain Cognitive Development (ABCD) Study cohort (<em>N</em> = 11,288) and employed a state-of-the-art segmentation method, sparse partial least squares, and a rigorous machine learning framework to prevent overfitting.</p></div><div><h3>Results</h3><p>We found 6 latent dimensions, 4 of which pertain specifically to mental health. The mental health dimensions were related to overeating, anorexia/internalizing, oppositional symptoms (all <em>p</em>s &lt; .002) and attention-deficit/hyperactivity disorder symptoms (<em>p</em> = .03). Attention-deficit/hyperactivity disorder was related to increased and internalizing symptoms related to decreased gray matter density in dopaminergic and serotonergic midbrain areas, whereas oppositional symptoms were related to increased gray matter in a noradrenergic nucleus. Internalizing symptoms were related to increased and oppositional symptoms to reduced gray matter density in the insular, cingulate, and auditory cortices. Striatal regions featured strongly, with reduced caudate nucleus gray matter in attention-deficit/hyperactivity disorder and reduced putamen gray matter in oppositional/conduct problems. Voxelwise gray matter density generated stronger brain-psychosocial correlations than brain parcellations.</p></div><div><h3>Conclusions</h3><p>Voxelwise brain data strengthen latent dimensions of brain-psychosocial covariation, and sparse multivariate methods increase their psychopathological specificity. Internalizing and externalizing symptoms are associated with opposite gray matter changes in similar cortical and subcortical areas.</p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 9","pages":"Pages 915-927"},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451902224000855/pdfft?md5=29a526bfec5b15d5e4c785c8d623aa4d&pid=1-s2.0-S2451902224000855-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140762507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial Board Page","authors":"","doi":"10.1016/S2451-9022(24)00218-0","DOIUrl":"10.1016/S2451-9022(24)00218-0","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 9","pages":"Page A1"},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451902224002180/pdfft?md5=35e3466bbcd6934136239f6f42dc8124&pid=1-s2.0-S2451902224002180-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influences of RASopathies on Neuroanatomical Variation in Children","authors":"","doi":"10.1016/j.bpsc.2024.04.003","DOIUrl":"10.1016/j.bpsc.2024.04.003","url":null,"abstract":"<div><h3>Background</h3><p><span>RASopathies<span> are a group of disorders characterized by pathogenic mutations in the Ras/mitogen-activated protein kinase (Ras/MAPK) signaling pathway. Distinct pathogenic variants in genes encoding proteins in the Ras/MAPK pathway cause </span></span>Noonan syndrome<span> (NS) and neurofibromatosis type 1<span> (NF1), which are associated with increased risk for autism spectrum disorder and attention-deficit/hyperactivity disorder.</span></span></p></div><div><h3>Methods</h3><p><span>This study examined the effect of RASopathies (NS and NF1) on human neuroanatomy, specifically on surface area (SA), cortical thickness (CT), and subcortical volumes. Using vertex-based analysis for cortical measures and Desikan region of interest parcellation for subcortical volumes, we compared structural T1-weighted images of children with RASopathies (</span><em>n</em> = 91, mean age = 8.81 years, SD = 2.12) to those of sex- and age-matched typically developing children (<em>n</em> = 74, mean age = 9.07 years, SD = 1.77).</p></div><div><h3>Results</h3><p><span><span>Compared with typically developing children, RASopathies had convergent effects on SA and CT, exhibiting increased SA in the precentral gyrus, decreased SA in occipital regions, and thinner CT in the precentral gyrus. RASopathies exhibited divergent effects on subcortical volumes, with syndrome-specific influences from NS and NF1. Overall, children with NS showed decreased volumes in striatal and thalamic structures, and children with NF1 displayed increased volumes in the </span>hippocampus, </span>amygdala<span>, and thalamus.</span></p></div><div><h3>Conclusions</h3><p>Our study reveals the converging and diverging neuroanatomical effects of RASopathies on human neurodevelopment<span>. The convergence of cortical effects on SA and CT indicates a shared influence of Ras/MAPK hyperactivation<span> on the human brain. Therefore, considering these measures as objective outcome indicators for targeted treatments is imperative.</span></span></p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 9","pages":"Pages 858-870"},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140783711","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":"Methodological Advances for Studying the Motivation Hypothesis of Autism","authors":"Caitlin C. Clements","doi":"10.1016/j.bpsc.2024.07.016","DOIUrl":"10.1016/j.bpsc.2024.07.016","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 9","pages":"Pages 855-857"},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142147075","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":"Neural Correlates of Novelty-Evoked Distress in 4-Month-Old Infants: A Synthetic Cohort Study","authors":"","doi":"10.1016/j.bpsc.2024.03.008","DOIUrl":"10.1016/j.bpsc.2024.03.008","url":null,"abstract":"<div><h3>Background</h3><p>Observational assessments of infant temperament have provided unparalleled insight into prediction of risk for social anxiety. However, it is challenging to administer and score these assessments alongside high-quality infant neuroimaging data. In the current study, we aimed to identify infant resting-state functional connectivity associated with both parent report and observed behavioral estimates of infant novelty-evoked distress.</p></div><div><h3>Methods</h3><p>Using data from the OIT (Origins of Infant Temperament) study, which includes deep phenotyping of infant temperament, we identified parent-report measures that were associated with observed novelty-evoked distress. These parent-report measures were then summarized into a composite score used for imaging analysis. Our infant magnetic resonance imaging sample was a synthetic cohort, harmonizing data from 2 functional magnetic resonance imaging studies of 4-month-old infants (OIT and BCP [Baby Connectome Project]; <em>n</em> = 101), both of which included measures of parent-reported temperament. Brain-behavior associations were evaluated using enrichment, a statistical approach that quantifies the clustering of brain-behavior associations within network pairs.</p></div><div><h3>Results</h3><p>Results demonstrated that parent-report composites of novelty-evoked distress were significantly associated with 3 network pairs: dorsal attention–salience/ventral attention, dorsal attention–default mode, and dorsal attention–control. These network pairs demonstrated negative associations with novelty-evoked distress, indicating that less connectivity between these network pairs was associated with greater novelty-evoked distress. Additional analyses demonstrated that dorsal attention–control network connectivity was associated with observed novelty-evoked distress in the OIT sample (<em>n</em> = 38).</p></div><div><h3>Conclusions</h3><p>Overall, this work is broadly consistent with existing work and implicates dorsal attention network connectivity in novelty-evoked distress. This study provides novel data on the neural basis of infant novelty-evoked distress.</p></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"9 9","pages":"Pages 905-914"},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451902224001071/pdfft?md5=719ac4312b95c6e8cc8da4fbe6caee10&pid=1-s2.0-S2451902224001071-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140778724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}