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A Comprehensive Review on Analysis Methods, Software, and Application of fMRI for Classification of Alzheimer’s Disease

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Advances in Speech and Music Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1320))

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Abstract

Neurodegeneration refers to the progressive loss and damage to the structure and/or function of neuronal cell, leading to death of neurons. It is one of the most feared associates of the increased longevity. Alzheimer’s disease (AD) is a neurodegenerative disorder, whose etiology and path physiology is not known to the fullest. The capacity of recognizing the first sign of disease has enormous socioeconomic benefit. Applications of various noninvasive MR imaging techniques are widely explored by researchers for this purpose. Here we reviewed (1) the recognized pathophysiology of Alzheimer’s disease and its categories; (2) data analysis methods applied on functional magnetic resonance imagining (fMRI) modality and summarized them with respect to statistical power, method, approach, its application(s), advantage and limitation of them; (3) Reviewed often used fMRI data processing tool box/software with respect to different aspects and features it offers; (4) a critical review on application of artificial intelligence (AI) techniques w.r.t objective(s) achieved, approach followed, methods applied, materials used, modalities considered, dataset used, process followed, accuracy achieved/claimed and results reported by various researchers to classify AD subject from fMRI data and suggest multimodality-based approach for computer-aided detection (CAD) system, to improve accuracy of classification.

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Authors and Affiliations

  1. Computer Engineering Department, Government Engineering College—Rajkot, Gujarat Technological University, Ahmedabad, Gujarat, India

    Chintan R. Varnagar

  2. Electronics and Communication Engineering Department, G. H. Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India

    Hitesh B. Shah

Authors
  1. Chintan R. Varnagar
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  2. Hitesh B. Shah
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Correspondence to Chintan R. Varnagar .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Silchar, Cachar, Assam, India

    Anupam Biswas

  2. Department of Media and Culture Studies, Utrecht University, Utrecht, The Netherlands

    Emile Wennekes

  3. Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  4. Multimedia Department, Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Alicja Wieczorkowska

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Varnagar, C.R., Shah, H.B. (2021). A Comprehensive Review on Analysis Methods, Software, and Application of fMRI for Classification of Alzheimer’s Disease. In: Biswas, A., Wennekes, E., Hong, TP., Wieczorkowska, A. (eds) Advances in Speech and Music Technology. Advances in Intelligent Systems and Computing, vol 1320. Springer, Singapore. https://doi.org/10.1007/978-981-33-6881-1_26

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