CLINICAL APPLICATIONS OF FUNCTIONAL MAGNETIC RESONANCE IMAGING
Unknown authors
Jul 2026· EPH-International journal of medical and health science· Vol 12· 0 citations
TL;DR
This review condenses the physiological principles underlying fMRI, its acquisition and analysis techniques, its principle clinical applications, the role of the MRI technologist in delivering a diagnostic quality scan, and current restrictions and future directions relevant to trainee radiologists.
Abstract
Functional magnetic resonance imaging (fMRI) has progressed from a research tool for mapping human brain activity into a proven constituent of clinical imaging. By exploiting the blood oxygen level dependent (BOLD) signal, fMRI offers a non-invasive means of localizing eloquent cortex, characterizing functional networks, and assessing disease related changes in brain function. Its most wise clinical role is presurgical mapping in patients going through resection of brain tumors or epileptogenic foci, where it reduces dependence on invasive procedure such as Wada test and intraoperative cortical stimulation. Developing applications extend to stroke recovery, neurodegenerative disease, psychiatric and pain disorders, increased backing by resting-state fmri, artificial intelligence-based analysis and multimodal imaging. This review condenses the physiological principles underlying fMRI, its acquisition and analysis techniques, its principle clinical applications, the role of the MRI technologist in delivering a diagnostic quality scan, and current restrictions and future directions relevant to trainee radiologists.
BACKGROUND AND OBJECTIVES
Deep brain stimulation (DBS) is an established neuromodulation therapy for Parkinson disease and other neurological disorders. Active DBS-functional MRI (fMRI) enables visualization of circuit engagement and may provide objective biomarkers of therapeutic efficacy, yet susceptibility artifacts...
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Felice Strangis, T. Schmidlechner, E. Jehli et al.· Journal of Cerebral Blood Fl...· 0 citations
The pivotal role of deep learning in image reconstruction and acceleration is explored, followed by detailed analyses of quantitative brain oxygen metabolism assessment, standardized spinal cord imaging frameworks, and the non-invasive monitoring of the glymphatic system using diffusion MRI.
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Background
Modern neurosurgery increasingly relies on individualized neuroimaging to maximize lesion resection while preserving
neurological function. Conventional magnetic resonance imaging (MRI) provides detailed anatomical information but does
not fully characterize cortical function, white-matter connectivity, or a...
Usha Topalkatti, Preethika Murugesan, E. V. Krishna et al.· International Journal of Inn...· 0 citations
Electroencephalography-fMRI integration represents a promising approach for advancing the understanding and management of epilepsy, but technical, analytical, and translational challenges remain, and further research is required to facilitate broader clinical adoption.
Farkhanda Haider Taj, Taiba· Journal of Medical Imaging a...· 0 citations
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