{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T01:05:09Z","timestamp":1790816709826,"version":"4.1.0"},"reference-count":65,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:00:00Z","timestamp":1790726400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:00:00Z","timestamp":1790726400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371548"],"award-info":[{"award-number":["82371548"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acamh.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Child Psychology Psychiatry"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Attention\u2010deficit\/hyperactivity disorder (ADHD) is characterized by gray matter alterations and executive dysfunction. Whether the spatially distributed regional abnormalities reported in previous meta\u2010analyses converge within large\u2010scale networks of the developing brain remains unclear. Using coordinate\u2010informed functional connectivity network mapping (FCNM), we mapped the network architecture of meta\u2010analytic gray matter volume (GMV) and executive dysfunction coordinates in pediatric ADHD and evaluated its reproducibility and cross\u2010disorder specificity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We extracted neuroimaging coordinates from published meta\u2010analyses reporting GMV alterations and task\u2010based executive dysfunction in pediatric ADHD (\n                      <jats:italic>n<\/jats:italic>\n                      <jats:sub>cases<\/jats:sub>\n                      \u2009=\u20095,015,\n                      <jats:italic>n<\/jats:italic>\n                      <jats:sub>controls<\/jats:sub>\n                      \u2009=\u20095,915). To map these disparate regional coordinates onto common functional circuits, we applied FCNM utilizing a large\u2010scale, high\u2010quality pediatric normative connectome from the Chinese Child Brain Development (CCBD) project (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20092,120). The spatial overlap between the derived abnormality networks and canonical brain networks was quantified using Dice coefficients. Furthermore, network robustness was validated using independent pediatric clinical cohorts (from the ADHD\u2010200 dataset and CCBD), and disease specificity was assessed via cross\u2010disorder connectomic comparison with autism spectrum disorder (ASD).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Despite the spatial dispersion of the input coordinates, the FCNM\u2010derived connectivity maps showed differential overlap with large\u2010scale brain networks. Specifically, the network associated with gray matter alterations localized predominantly to the default mode network (DMN) (Dice\u2009=\u20090.457;\n                      <jats:italic>P<\/jats:italic>\n                      <jats:sub>NCT<\/jats:sub>\n                      \u2009=\u20090.001) and the ventral attention network (VAN) (Dice\u2009=\u20090.237;\n                      <jats:italic>P<\/jats:italic>\n                      <jats:sub>NCT<\/jats:sub>\n                      \u2009=\u20090.03), while the network underlying executive dysfunction localized primarily to the VAN (Dice\u2009=\u20090.319;\n                      <jats:italic>P<\/jats:italic>\n                      <jats:sub>NCT<\/jats:sub>\n                      \u2009=\u20090.001). Importantly, this dual\u2010network architecture demonstrated robust reproducibility across independent clinical validation cohorts and exhibited clear topological specificity when compared to ASD\u2010related networks.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Using a large pediatric normative connectome, coordinate\u2010informed FCNM mapped ADHD\u2010related abnormalities onto partially overlapping DMN and VAN architectures, providing a reproducible framework for understanding distributed abnormalities in ADHD and identifying biologically defined targets for neuromodulation and early intervention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jcpp.70245","type":"journal-article","created":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:35:06Z","timestamp":1790814906000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Brain network localization of gray matter alterations and executive dysfunction in pediatric\n                    <scp>ADHD<\/scp>"],"prefix":"10.1111","author":[{"given":"Yexian","family":"Zeng","sequence":"first","affiliation":[{"name":"Peking University Sixth Hospital  Beijing China"},{"name":"Institute of Mental Health Peking University  Beijing China"},{"name":"NHC Key Laboratory of Mental Health Peking University  Beijing China"},{"name":"National Clinical Research Center for Mental Disorders Peking University Sixth Hospital  Beijing China"},{"name":"Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Cheng","sequence":"additional","affiliation":[{"name":"Peking University Sixth Hospital  Beijing China"},{"name":"Institute of Mental Health Peking University  Beijing China"},{"name":"NHC Key Laboratory of Mental Health Peking University  Beijing China"},{"name":"National Clinical Research Center for Mental Disorders Peking University Sixth Hospital  Beijing China"},{"name":"Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingrui","family":"Xia","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University  Beijing China"},{"name":"Beijing Key Laboratory of Brain Imaging and Connectomics Beijing Normal University  Beijing China"},{"name":"IDG\/McGovern Institute for Brain Research Beijing Normal University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Yang","sequence":"additional","affiliation":[{"name":"Peking University Sixth Hospital  Beijing China"},{"name":"Institute of Mental Health Peking University  Beijing China"},{"name":"NHC Key Laboratory of Mental Health Peking University  Beijing China"},{"name":"National Clinical Research Center for Mental Disorders Peking University Sixth Hospital  Beijing China"},{"name":"Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4548-4976","authenticated-orcid":false,"given":"Qingjiu","family":"Cao","sequence":"additional","affiliation":[{"name":"Peking University Sixth Hospital  Beijing China"},{"name":"Institute of Mental Health Peking University  Beijing China"},{"name":"NHC Key Laboratory of Mental Health Peking University  Beijing China"},{"name":"National Clinical Research Center for Mental Disorders Peking University Sixth Hospital  Beijing China"},{"name":"Beijing Key Laboratory for Big Data Innovative Application of Child and Adolescent Mental Disorders  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,30]]},"reference":[{"key":"e_1_2_12_2_1","first-page":"1","article-title":"Meta\u2010analysis of cognitive functioning in ADHD: An fMRI investigation","volume":"10","author":"Al\u2010Saoud S.","year":"2022","journal-title":"Western Undergraduate Psychology Journal"},{"key":"e_1_2_12_3_1","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s11065-006-9002-x","article-title":"Executive function and the frontal lobes: A meta\u2010analytic review","volume":"16","author":"Alvarez J.A.","year":"2006","journal-title":"Neuropsychology 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