PhD Scientific Days 2022

Mental Health Sciences II. (Poster discussion will take place in the Aula during the Coffee Break)

Sleep EEG spectral exponents and slow wave activity in ADHD

Előadó neve

Vojnits, Blanka

Előadó munkahelye

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

Előadó telefonszáma

+36303591181

Előadó e-mail címe

vojnits.blanka@gmail.com

Az előadás címe

Sleep EEG spectral exponents and slow wave activity in ADHD

Szerző(k) neve és munkahelye

B. Vojnits 1, T. Magyar 2, N. Bunford 3, R. Bódizs 1, O. Szalárdy 1

1, Semmelweis University, Institute of Behavioural Science, Budapest, Hungary, 2, Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary, 3, Hungarian Academy of Sciences Research Centre for Natural Sciences, Budapest, Hungary

Bemutatás módja

Poszter

Szekció

Mental Health Sciences II. (Poster discussion will take place in the Aula during the Coffee Break)

Language of the presentation

Hungarian

Preferred session

Mental Sciences

Összefoglaló szövege

Introductions: Attention deficit hyperactivity disorder (ADHD) is relatively frequent neurodevelopmental disorder, affecting 3—5% of school-aged children. ADHD is often associated with sleep problems, which affects daytime cognitive functions and development. However, few studies have unravelled these peculiarities whereas the analytical methods of sleep EEG were limited to a few methods with circumscribed focuses.

Aims: Here we aim to reveal the differences in adolescents’ sleep EEG patterns analysed by FFT routine and power spectrum parametrization obtained for selected EEG derivations.

Methods: Polysomnographic sleep was monitored in 22 adolescents with ADHD, 31 typically developing controls and 13 adolescents with subclinical symptoms of ADHD (overall: N=66 children, age range 14–18 years) by using a home sleep recording with the DREEM headband. We analysed the first 4 artefact-free NREM sleep periods (cycles) of each participant, and the sleep stages were scored by the modified criteria of Rechtschaffen and Kales. Analysis was performed by FFT routine (4 s, Hanning taper) and power spectrum obtained for selected EEG derivations. The log-log power was fitted with a linear, and a peak detection was applied in the 9–18 Hz range. Statistical analysis was based on general linear models.

Results: Slow wave activity, spectral slopes and offsets (intercepts) and spectral peak parameters showed a significant cycle effect in each group, however there were no significant differences among groups. The significant cycle effect (decreasing SWA and spectral slopes) indicate and expected decrease in sleep depth during the night in all groups.

Conclusions: Results suggest significant cycle effect in the frontopolar region, whereas the formerly reported differences in slow wave activity of ADHD children should be carefully reinvestigated in further studies.

Funding: Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-EGA-25 funding scheme

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

13:05

End

13:10

Authors (legacy)

B. Vojnits 1, T. Magyar 2, N. Bunford 3, R. Bódizs 1, O. Szalárdy 1

1, Semmelweis University, Institute of Behavioural Science, Budapest, Hungary, 2, Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary, 3, Hungarian Academy of Sciences Research Centre for Natural Sciences, Budapest, Hungary