A COMPLEXITY-BASED EXAMINATION OF VARIATIONS IN BRAIN ACTIVITY BETWEEN INDIVIDUALS WITH INTELLECTUAL AND DEVELOPMENTAL DISORDERS (IDD) AND HEALTHY CONTROLS DURING REST AND EXTERNAL STIMULATION PERIODS

Najmeh Pakniyat, Ali Selamat, Ondrej Krejcar, Shadab Ahamad Ansari and Hamidreza Namazi
Additional contact information
Najmeh Pakniyat: 30 Shore Breeze Drive, Toronto, ON, Canada M8V 0J1, Canada
Ali Selamat: ��Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia‡Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia℡Media and Games Center of Excellence (MagicX), Universiti Teknologi Malaysia, Johor Bahru, Malaysia
Ondrej Krejcar: ��Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia‡Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia℡Media and Games Center of Excellence (MagicX), Universiti Teknologi Malaysia, Johor Bahru, Malaysia§Skoda Auto University, Na Karmeli 1457, 293 01 Mlada Boleslav, Czech Republic
Shadab Ahamad Ansari: �School of Liberal Education, Galgotias University, Greater Noida 203201, Uttar Pradesh, India
Hamidreza Namazi: ��Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czechia§Skoda Auto University, Na Karmeli 1457, 293 01 Mlada Boleslav, Czech Republic∥Biomedical Signal and Image Processing Lab, Galgotias University, Greater Noida 203201, Uttar Pradesh, India

FRACTALS (fractals), 2025, vol. 33, issue 01, 1-8

Abstract: Investigating the disparities in brain activity between healthy individuals and those with intellectual and developmental disorders (IDD) is pivotal in biomedical research. In this study, we delved into these differences by employing a complexity-based analysis of electroencephalogram (EEG) signals. Specifically, we computed the fractal dimension (FD), approximate entropy, and sample entropy (SampEn) of EEG signals for both control (healthy) subjects and IDD individuals during rest and stimulation with music. Our findings revealed that IDD subjects exhibited higher complexity in both rest and stimulation scenarios compared to control subjects, indicative of heightened brain activity complexity among IDD individuals. This analysis not only sheds light on the variations in brain activity associated with IDD, but also underscores its potential applicability in assessing brain activity alterations across various disorders compared to healthy counterparts.

Keywords: Brain; Complexity; Disorder; Fractal dimension; Approximate entropy; Sample entropy (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X2550015X
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:33:y:2025:i:01:n:s0218348x2550015x

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218348X2550015X

Access Statistics for this article

FRACTALS (fractals) is currently edited by Tara Taylor

More articles in FRACTALS (fractals) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().