Your browser doesn't support javascript.
loading
EEG Connectivity in ADHD Compared to a Normative Database: A Cohort Analysis of 120 Subjects from the ICAN Study.
Kerson, Cynthia; Lubar, Joel; deBeus, Roger; Pan, Xueliang; Rice, Robert; Allen, Theodore; Yazbeck, Maha; Sah, Shlok; Dhawan, Yajat; Zong, Wei; Roley-Roberts, Michelle E; Arnold, L Eugene.
Afiliação
  • Kerson C; Department of Applied Psychophysiology, Saybrook University, Pasadena, USA. ckerson@saybrook.edu.
  • Lubar J; APEd (Applied Psychophysiology Education), Napa, USA. ckerson@saybrook.edu.
  • deBeus R; Southeastern Neurofeedback Institute, Pompano Beach, Florida, USA.
  • Pan X; University of North Carolina at Asheville, Asheville, NC, USA.
  • Rice R; Department of Biomedical Informatics, Center for Biostatistics, Ohio State University, Columbus, USA.
  • Allen T; Department of Psychiatry and Behavioral Health, Ohio State University, Nisonger Center, Columbus, USA.
  • Yazbeck M; Integrated Systems Engineering, The Ohio State University, Columbus, USA.
  • Sah S; Integrated Systems Engineering, The Ohio State University, Columbus, USA.
  • Dhawan Y; Department of Computer Science and Engineering, Ohio State University, Columbus, USA.
  • Zong W; Department of Computer Science and Engineering, Ohio State University, Columbus, USA.
  • Roley-Roberts ME; Department of Computer Science and Engineering, Ohio State University, Columbus, USA.
  • Arnold LE; Department of Psychiatry, Creighton University, CHI Health, Behavioral Health, Omaha, USA.
Appl Psychophysiol Biofeedback ; 48(2): 191-206, 2023 06.
Article em En | MEDLINE | ID: mdl-36469170
ABSTRACT
This study explores how EEG connectivity measures in children with ADHD ages 7-10 (n = 140) differ from an age-matched nonclinical database. We differentiated connectivity in networks, Brodmann area pairs, and frequencies. Subjects were in the International Collaborative ADHD Neurofeedback study, which explored neurofeedback for ADHD. Inclusion criteria were mainly rigorously diagnosed ADHD and a theta/beta power ratio (TBR) ≤ 4.5. Using statistical and machine learning algorithms, connectivity values were extracted in coherence, phase, and lag coherence at all Brodmann, subcortical, and cerebellar areas within the main networks in all EEG frequencies and then compared with a normative database. There is a higher rate of dysregulation (more than ± 1.97SD), in some cases as much as 75%, of the Brodmann pairs observed in coherence and phase between BAs 7, 10, and 11 with secondary connections from these areas to BAs 21, 30, 35, 37, 39, and 40 in the ADHD children as compared to the normative database. Left and right Brodmann areas 10 and 11 are highly disconnected to each other. The most dysregulated Brodmann Areas in ADHD are 7, 10, and 11, relevant to ADHD executive-function deficits and provide important considerations when developing interventions for ADHD children.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno do Deficit de Atenção com Hiperatividade / Neurorretroalimentação Tipo de estudo: Etiology_studies / Observational_studies Limite: Child / Humans Idioma: En Revista: Appl Psychophysiol Biofeedback Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno do Deficit de Atenção com Hiperatividade / Neurorretroalimentação Tipo de estudo: Etiology_studies / Observational_studies Limite: Child / Humans Idioma: En Revista: Appl Psychophysiol Biofeedback Ano de publicação: 2023 Tipo de documento: Article