Mahjabeen Rahman

Dr. Mahjabeen Rahman


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 November 2022 in Brain Sciences
Verified
Journal Article
Open access
PDF file
LILina Ismail
Lina Ismail
Waldemar KarwowskiWaldemar Karwowski
Waldemar Karwowski
Farzad V. FarahaniFarzad V. Farahani
Farzad V. Farahani
MRMahjabeen Rahman
Mahjabeen Rahman
AAAshraf Alhujailli
Ashraf Alhujailli
PHPeter Hancock
Peter Hancock
The perception of physical exertion is the cognitive sensation of work demands associated with voluntary muscular actions. Measurements of exerted force are crucial for avoiding the risk of overexertion and understanding human physical capability. For this purpose, various physiological measures have been used; however, the state-of-the-art in-force exertion evaluation lacks assessments of underlying neurophysiological signals. The current study applied a graph theoretical approach to investigate the topological changes in the functional brain network induced by predefined force exertion levels for twelve female participants during an isometric arm task and rated their perceived physical comfort levels. The functional connectivity under predefined force exertion levels was assessed using the coherence method for 84 anatomical brain regions of interest at the electroencephalogram (EEG) source level. Then, graph measures were calculated to quantify the network topology for two frequency bands. The results showed that high-level force exertions are associated with brain networks characterized by more significant clustering coefficients (6%), greater modularity (5%), higher global efficiency (9%), and less distance synchronization (25%) under alpha coherence. This study on the neurophysiological basis of physical exertions with various force levels suggests that brain regions communicate and cooperate higher when muscle force exertions increase to meet the demands of physically challenging tasks.

4 July 2023 in Brain Sciences
Verified
Journal Article
Open access
PDF file
MRMahjabeen Rahman
Mahjabeen Rahman
Waldemar KarwowskiWaldemar Karwowski
Waldemar Karwowski
NSNabin Sapkota
Nabin Sapkota
LILina Ismail
Lina Ismail
AAAshraf Alhujailli
Ashraf Alhujailli
PHPeter Hancock
Peter Hancock
A variety of subjective measures have traditionally been used to assess the perception of physical exertion at work and related body responses. However, the current understanding of physical comfort experienced at work is very limited. The main objective of this study was first to investigate the magnitude of isometric arm forces exerted by females at different levels of physical comfort measured on a new comfort scale and, second, to assess their corresponding neural signatures expressed in terms of power spectral density (PSD). The study assessed PSDs of four major electroencephalography (EEG) frequency bands, focusing on the brain regions controlling motor and perceptual processing. The results showed statistically significant differences in exerted arm forces and the rate of perceived exertion at the various levels of comfort. Significant differences in power spectrum density at different physical comfort levels were found for the beta EEG band. Such knowledge can be useful in incorporating female users’ force requirements in the design of consumer products, including tablets, laptops, and other hand-held information technology devices, as well as various industrial processes and work systems.