Assessing Cerebral Dominance in the Geriatric Population: A Neuropsychological Perspective

Abstract Cerebral dominance refers to the preferential engagement of one hemisphere of the brain – left or right – in specific cognitive operations. However, modern neuroscience asserts that cognitive functions are not confined to isolated hemispheres but distributed across dynamic neural networks. This study examined hemispheric preference patterns among elderly individuals aged 60 years and above from rural and urban regions of Lucknow district, Uttar Pradesh. Using a descriptive–comparative design, a purposive sample of 120 participants was assessed through the Alert Scale of Cognitive Style (Crane, 1989), adapted and validated in Hindi. Results indicated that rural elderly participants displayed stronger right-hemispheric tendencies, while urban participants leaned toward left-hemispheric preference. The findings are interpreted within contemporary frameworks such as the Hemispheric Asymmetry Reduction in Older Adults model and Scaffolding Theory of Aging and Cognition, highlighting the brain’s adaptive bilateral activation and compensatory mechanisms during aging. Effect size analyses confirmed that observed differences were statistically significant and meaningful. The study underscores the importance of context-sensitive cognitive interventions for elderly populations, reflecting environmental and lifestyle influences on neurocognitive aging.

Authors

Institutions

Publication Details

Journal
Journal of The Indian Academy of Geriatrics
Published
2025-10-01
DOI
https://doi.org/10.4103/jiag.jiag_54_25
Primary Topic
Spatial Neglect and Hemispheric Dysfunction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Cerebral Dominance in the Geriatric Population: A Neuropsychological Perspective

Jaya Bharti
Journal of The Indian Academy of Geriatrics
Spatial Neglect and Hemispheric Dysfunction
article

Assessing Cerebral Dominance in the Geriatric Population: A Neuropsychological Perspective

Jaya Bharti
article en

Abstract

Abstract Cerebral dominance refers to the preferential engagement of one hemisphere of the brain – left or right – in specific cognitive operations. However, modern neuroscience asserts that cognitive functions are not confined to isolated hemispheres but distributed across dynamic neural networks. This study examined hemispheric preference patterns among elderly individuals aged 60 years and above from rural and urban regions of Lucknow district, Uttar Pradesh. Using a descriptive–comparative design, a purposive sample of 120 participants was assessed through the Alert Scale of Cognitive Style (Crane, 1989), adapted and validated in Hindi. Results indicated that rural elderly participants displayed stronger right-hemispheric tendencies, while urban participants leaned toward left-hemispheric preference. The findings are interpreted within contemporary frameworks such as the Hemispheric Asymmetry Reduction in Older Adults model and Scaffolding Theory of Aging and Cognition, highlighting the brain’s adaptive bilateral activation and compensatory mechanisms during aging. Effect size analyses confirmed that observed differences were statistically significant and meaningful. The study underscores the importance of context-sensitive cognitive interventions for elderly populations, reflecting environmental and lifestyle influences on neurocognitive aging.

Journal of The Indian Academy of GeriatricsVol. 21(4)
Chhatrapati Shahu Ji Maharaj University (IN)
Openalex Percentile: Top 66%
Spatial Neglect and Hemispheric Dysfunction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.