International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Research Paper | Neuroscience | India | Volume 13 Issue 5, May 2024 | Rating: 6.6 / 10

Innovative Approach: Facial Recognition and Event Related Potential for Early Detection of Alzheimer?s Disease

Abhijeet Satani [2] | David Kaiser | Param Barodia [2]

Abstract: Alzheimer's disease frequently causes impairments in facial recognition, leading to significant consequences for patients' social well-being. In this study, we employed electroencephalography (EEG) and experimental methods to investigate how facial processing differs between AD patients and a healthy control group. Distinct face processing characteristics were associated with various Event-Related Potential (ERP) components, including N170, N250, and N400. The AD patient, PATIENT(A), exhibited a reduced N170 for faces compared to houses and scrambled objects, suggesting deficits in encoding face-specific configurations. Moreover, facial recognition impairments in PATIENT(A) might be attributed to specific difficulties in processing face configuration, as evidenced by the absence of the typical inversion effect at the neuronal level. Additionally, fear facial expressions elicited a disproportionately large N170 response, indicating that emotional stimuli may be processed implicitly. Familiarity manipulation did not modulate the N250 in PATIENT(A) but did reveal a clear modulation of the N400 component, suggesting that long-term memory traces may be implicitly preserved. This study demonstrates the potential for advancing scientific understanding of face processing deficits in AD through the combination of in-depth individual case studies and electrophysiology. The findings highlight the importance of using electrophysiological markers in clinical practice to improve patient management, classification, and the development of targeted rehabilitation protocols for face processing deficits in AD patients.

Keywords: Alzheimer's disease, facial recognition, electroencephalography, event-related potentials, MemoryCareAI

Edition: Volume 13 Issue 5, May 2024,

Pages: 1156 - 1163

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