PhD Scientific Days 2023

Mental Health Sciences - Posters M

Resting-state EEG characteristics in ADHD

Előadó neve

Vojnits, Blanka

Neptun code

JD5VSQ

Előadó munkahelye

Semmelweis University, Institute of Behavioural Science, Budapest, Hungary,

Előadó telefonszáma

+36303591181

Előadó e-mail címe

vojnits.blanka@gmail.com

Az előadás címe

Resting-state EEG characteristics in ADHD

Szerző(k) neve és munkahelye

B. Vojnits, T. Magyar, R. Bódizs, O. Szalárdy
Semmelweis University, Institute of Behavioural Science, Budapest, Hungary,

Bemutatás módja

Poszter

Szekció

Mental Health Sciences - Posters M

Language of the presentation

Hungarian

Preferred session

Mental Sciences

Összefoglaló szövege

Introductions: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that affects 3—5% of school-aged children. It is characterized by symptoms such as inattention, hyperactivity, and impulsivity.
Although the frequently prominent daytime symptoms of attention-deficit/hyperactivity disorder are well described, the neural background of insufficient attentional processes has been explored to a limited extent.

Aims: Recent theories of ADHD suggest that the poorer cognitive and behavioral outcomes originate from the deficits of temporal information processing impairment of these participants. Here we aim to reveal the differences of neuronal oscillatory routes of attentional and temporal processing untypicalities in children with and without ADHD, by analyzing resting state band-limited resting state EEG spectral before and after the auditory task.

Methods: Resting-state EEG of 10 children with ADHD and 10 typically developing controls (total: N=20 children, age group 8-12) was investigated in laboratory conditions, prior to and after an auditory target detection task. The sampling rate was 1024 Hz, and ca. 3 minutes eyes-opened resting-state data was recorded from each participants from 31 channels.
The power spectrum analysis was performed with an FFT routine (2s, Hanning taper, 50% overlap). We calculated the averaged log power for the pre-task and post-task sessions, in the following frequency ranges: delta (0.5-4) Hz, theta (4-7) Hz, alpha (8-12) Hz, beta (13-30) Hz, gamma (30-80) Hz.
Statistical analysis was based on general linear models, separately for each frequency band.

Results: Expected differences in band power values according to frequencies ranges and topography were revealed. There were no significant group differences in band power, neither in pre-task nor in post-task recordings.

Conclusions: Results suggest that the children with ADHD do not shows increased fatigue in their resting state data ither before or after the auditory task.

Funding: The study was supported by STIA-OTKA-2020 (61831Z0100, awarded to Orsolya Szalárdy by the Semmelweis University).

University and Doctoral School

Semmelweis University, Doctoral School of Mental Health Sciences

Supervisor

Dr. Bódizs Róbert, Dr. Szalárdy Orsolya

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

6920

Start

11:18

End

11:23

Authors (legacy)

B. Vojnits, T. Magyar, R. Bódizs, O. Szalárdy
Semmelweis University, Institute of Behavioural Science, Budapest, Hungary,