Brain Function and Neuroimaging: From Disease to AI

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Radiobiology and Nuclear Medicine".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 147

Special Issue Editors


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Guest Editor
Department of International Business, Ming Chuan University, Taipei, Taiwan
Interests: EEG, social network; neuromarketing
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Special Issue Information

Dear Colleagues,

Over the last several decades, neuroimaging has evolved into a pivotal tool in both basic and clinical research for deciphering brain function. Continuous advancements in brain activity detection and simulation technologies have paved the way in unraveling the neural mechanisms underlying human mental processes. The development and application of diverse detection methodologies are allowing researchers to further investigate brain structures and functions to improve our understanding of normal mental functioning and the pathogenesis of neurological diseases.

Neurological disease research, which encompasses the development, functioning, and pathology of the nervous system, addresses a range of pressing conditions linked to aging, dementia, neurodegenerative disorders, stroke, depression, schizophrenia, alcohol abuse, and sleep disorders, all of which demand intensive investigative efforts. Beyond clinical and basic neuroscience, it also drives the advancement of artificial intelligence (AI) technologies dedicated to the automatic analysis and interpretation of brain imaging data, forming a vital bridge between clinical and social insights and technological innovation.

This Special Issue will showcase cutting-edge advances in neuroimaging and brain function research, spanning the full spectrum from neurological disease investigations to AI-driven innovations. We warmly welcome submissions of original research articles and review papers that align with this thematic scope. Contributions focusing on the following three core areas are particularly encouraged:

(1) The application of EEG, MRI, and MEG for monitoring brain activity changes, complemented by other noninvasive techniques such as eye-tracking, NIRS, and face recognition tools to comprehensively analyze human behavioral and neural responses;

(2) Novel tools and strategies for brain dysfunction intervention and rehabilitation, including innovative noninvasive therapeutic approaches such as transcranial magnetic stimulation, transcranial electrical stimulation, and focused ultrasound;

(3) The development of AI deep learning algorithms for image recognition and neural signal analysis, tailored to evaluate brain structure, functional connectivity, and neural network dynamics.

Dr. Ming-Chang Chiang
Dr. Chiahui Yen
Guest Editors

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Keywords

  • neuroimaging
  • brain functions
  • neurological diseases
  • AI
  • deep learning

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