{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T13:30:24Z","timestamp":1789047024787,"version":"build-2803163510"},"reference-count":54,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T00:00:00Z","timestamp":1787184000000},"content-version":"vor","delay-in-days":19,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To investigate sex\u2010stratified brain\u2013behavior relationships between large\u2010scale functional brain network topology and executive\u2010motor profiles in pediatric ADHD, using a multi\u2010dimensional parameter exploration approach.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>Graph\u2010theoretical connectivity measures were derived from resting\u2010state EEG in 41 medication\u2010na\u00efve children with ADHD (10 girls) and 42 healthy controls (HCs) (10 girls), aged 6\u201312 years. Sex\u2010specific within\u2010 and between\u2010group differences were examined across temporal windows (1\u20102\u20104 s), frequency bands, and network densities (10%\u201330%). Associations between connectivity measures and behavioral\/clinical profiles (Stroop, PANESS, Turgay DSM\u2010IV scales) were also assessed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>Directed Transfer Function showed more reliable predictions than phase\u2010sensitive estimators. ADHD\u2010girls showed lower local connectivity, and HC\u2010girls showed higher integration\/segregation in within\u2010group gender differences in lower alpha at sparse network densities (10%\u201315%). Network alterations and meaningful brain\u2010behavioral relationships were limited to upper alpha and beta at denser network configurations (20%\u201330%) in ADHD\u2010girls. Total gait\/station was negatively correlated with integration in HC, positively correlated with hub\u2010to\u2010hub organization in ADHD. The edge\u2010level differences were localized at right centro\u2010temporal locations (FC6\u2010T8) in boys, while the fewer and weaker differences were localized at antero\u2010posterior, occipital\u2010centric connections converging onto AF3 locus in girls.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The density\u2010dependent emergence of brain\u2013behavior correlations in girls offers a plausible network\u2010level explanation for the diagnostic camouflage effect reported in females with ADHD. Pediatric ADHD manifests through sex\u2010specific network reconfigurations, a right\u2010hemispheric inhibitory\u2010circuit deficit in boys versus an antero\u2010posterior sensory\u2010gating alteration in girls.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.71698","type":"journal-article","created":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T03:21:33Z","timestamp":1787282493000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Brain\u2013Behavior Relationships in Children With ADHD: Resting\u2010state EEG Networks Underlying Executive Function and Neurological Soft Signs"],"prefix":"10.1002","volume":"16","author":[{"given":"Merve","family":"Kuz","sequence":"first","affiliation":[{"name":"Diamind Mental Academy Child\u2010Adolescent Psychiatry &amp; Psychotherapy Clinic  Konya T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Halit Necmi","family":"U\u00e7ar","sequence":"additional","affiliation":[{"name":"Diamind Mental Academy Child\u2010Adolescent Psychiatry &amp; Psychotherapy Clinic  Konya T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Serap","family":"Ayd\u0131n","sequence":"additional","affiliation":[{"name":"Medical Faculty Biophysics Department Hacettepe University  Ankara T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatih Hilmi","family":"\u00c7etin","sequence":"additional","affiliation":[{"name":"Diamind Mental Academy Child\u2010Adolescent Psychiatry &amp; Psychotherapy Clinic  Konya T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Serhat","family":"T\u00fcrko\u011flu","sequence":"additional","affiliation":[{"name":"Department of Child and Adolescent Psychiatry Sel\u00e7uk University  Konya T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,20]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci11070938"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2015.09.134"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-8106-5_7"},{"key":"e_1_2_12_5_1","volume-title":"Diagnostic and Statistical Manual of Mental Disorders: DSM\u20105","author":"APA","year":"2013"},{"key":"e_1_2_12_6_1","volume-title":"Barkley Deficits in Executive Functioning Scale\u2014Children and Adolescents (BDEFS\u2010CA)","author":"Barkley R. 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