Longitudinal Assessment of Alzheimer's Disease Progression Through Structural MRI Analysis and Firefly Algorithm-Based Biomarker Identification

Authors

  • Pavankumar Ediga Assistant Professor, Dept. of Neurosciences,Krishna Vishwa Vidyapeeth, Karad, Maharashtra, India
  • Virendra Patil Assistant Professor Department of Radioiagnosis Krishna Vishwa Vidyapeeth, Karad, Maharashtra, India
  • Anil Baburao Desai Department of Computer Science and Engineering, Graphic Era Hill University Dehradun, Uttarakhand, India
  • Prabhdeep Singh Department of Computer Science & Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India, 248002

Keywords:

Disease Progression, Longitudinal Assessment, Firefly Algorithm, Prediction, Biomarker Identification

Abstract

The longitudinal assessment of the course of Alzheimer's disease (AD) utilising structural MRI analysis and biomarker discovery based on the Firefly algorithm is presented in this paper as a unique approach. The severe neurodegenerative disorder Alzheimer's disease, which causes progressive cognitive deterioration, is a significant global health issue. For prompt intervention and treatment planning, early and precise AD progression identification is essential. In this study, we used cutting-edge structural MRI analytic methods to monitor the evolution of brain structure in a cohort of AD patients. Using longitudinal MRI scans from a well-characterized group of people, we were able to track the development of the condition over a number of years. We developed the Firefly algorithm, a nature-inspired optimisation technique that excels in feature selection and biomarker identification tasks, to find relevant biomarkers for the course of AD. Our results show how well the Firefly algorithm identifies important biomarkers linked to the course of AD. These biomarkers provide insight into the underlying neurodegenerative processes by revealing significant structural changes in particular brain regions over time. We can gain a deeper knowledge of AD progression and possibly improve early detection and treatment approaches by examining these indicators. Overall this work shows that structural MRI analysis combined with the Firefly algorithm has the potential to be a useful tool for longitudinally monitoring the course of Alzheimer's disease. The discovered biomarkers shed light on the developing pathophysiology of AD and may open the door to individualised therapeutic strategies that concentrate on particular brain changes caused by the illness. Our research contributes to continuing efforts in this essential field of neurodegenerative disease research and emphasises the need of early detection and intervention for enhancing the quality of life for AD patients.

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Published

04.11.2023

How to Cite

Ediga, P. ., Patil, V. ., Desai, A. B. ., & Singh, P. . (2023). Longitudinal Assessment of Alzheimer’s Disease Progression Through Structural MRI Analysis and Firefly Algorithm-Based Biomarker Identification. International Journal of Intelligent Systems and Applications in Engineering, 12(3s), 476–487. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3728

Issue

Vol. 12 No. 3s (2024)

Section

Research Article

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