TY - JOUR
T1 - EEG Connectivity in ADHD Compared to a Normative Database
T2 - A Cohort Analysis of 120 Subjects from the ICAN Study
AU - Kerson, Cynthia
AU - Lubar, Joel
AU - deBeus, Roger
AU - Pan, Xueliang
AU - Rice, Robert
AU - Allen, Theodore
AU - Yazbeck, Maha
AU - Sah, Shlok
AU - Dhawan, Yajat
AU - Zong, Wei
AU - Roley-Roberts, Michelle E.
AU - Arnold, L. Eugene
N1 - Funding Information:
Dr. Cynthia Kerson has received NIMH funding for the ICAN study, Dr. Roger deBeus has received research funding from NIMH. Dr. Roley-Roberts has received research funding from LB692 Nebraska Tobacco Settlement Biomedical Research Development Program, American Psychological Foundation, Foundation for Education and Research in Biofeedback and Related Sciences, Foundation for Neurofeedback and Neuromodulation Research, NIMH, NIGMS, and NIH. Dr. Arnold has received research funding from Supernus Pharmaceuticals (USA), Roche/Genentech Phanaceuticals (Switzerland), Otsuka Pharmaceuticals (Japan), Axial, and YoungLiving Essential Oils (USA) and National Institute of Health (USA, R01 MH 100144), has consulted with Pfizer Parmaceuticals (USA), and been on advisory boards for Otsuka (Japan) and Roche/Genentech (Switzerland).
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
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U2 - 10.1007/s10484-022-09569-9
DO - 10.1007/s10484-022-09569-9
M3 - Article
AN - SCOPUS:85143378466
JO - Biofeedback and Self-Regulation
JF - Biofeedback and Self-Regulation
SN - 1090-0586
ER -