EEG Connectivity in ADHD Compared to a Normative Database: A Cohort Analysis of 120 Subjects from the ICAN Study

Kerson, Cynthia; Lubar, Joel F.; deBeus, Roger; Pan, Xueliang; Rice, Robert R.; Allen, Theodore T.; Yazbeck, Maha; Sah, Shlok; Dhawan, Yajat; Zong, Wei; Roley‐Roberts, Michelle E.; Arnold, L. Eugene

doi:10.1007/s10484-022-09569-9

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…Ever since Berger et al (1961) first demonstrated the age-related changes of EEG in infants, children and adults in 1929, many studies have collected normative developmental EEG data to better understand the boundary between the normal and abnormal brain. Deviation from normal development may have a major impact for our ability as an adult, and may be related to disorders such as ADHD ( Kerson et al, 2022 ), autism ( Geng et al, 2023 ), and schizophrenia ( Khare and Bajaj, 2022 ). Thus, knowledge of developmental trajectories and normal growth of the brain is of great importance when investigating risk factors and treatment options for neuropsychiatric disorders.…”

Section: Introductionmentioning

confidence: 99%

Development of EEG connectivity from preschool to school-age children

Kang,

Mao,

et al. 2024

Front. Neurosci.

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IntroductionMany studies have collected normative developmental EEG data to better understand brain function in early life and associated changes during both aging and pathology. Higher cognitive functions of the brain do not normally stem from the workings of a single brain region that works but, rather, on the interaction between different brain regions. In this regard studying the connectivity between brain regions is of great importance towards understanding higher cognitive functions and its underlying mechanisms.MethodsIn this study, EEG data of children (N = 253; 3-10 years old; 113 females, 140 males) from pre-school to schoolage was collected, and the weighted phase delay index and directed transfer function method was used to find the electrophysiological indicators of both functional connectivity and effective connectivity. A general linear model was built between the indicators and age, and the change trend of electrophysiological indicators analyzed for age.ResultsThe results showed an age trend for the functional and effective connectivity of the brain of children.DiscussionThe results are of importance in understanding normative brain development and in defining those conditions that deviate from typical growth trajectories.

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