A state-of-the-art review of functional magnetic resonance imaging technique integrated with advanced statistical modeling and machine learning for primary headache diagnosis.

Autor:	Li ML; Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China., Zhang F; Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China., Chen YY; Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.; Department of Family Medicine, Liaoning Health Industry Group Fukuang General Hospital, Fushun, Liaoning, China., Luo HY; Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China., Quan ZW; Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China., Wang YF; Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China., Huang LT; Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China., Wang JH; Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Jazyk:	angličtina
Zdroj:	Frontiers in human neuroscience [Front Hum Neurosci] 2023 Sep 01; Vol. 17, pp. 1256415. Date of Electronic Publication: 2023 Sep 01 (Print Publication: 2023).
DOI:	10.3389/fnhum.2023.1256415
Abstrakt:	Primary headache is a very common and burdensome functional headache worldwide, which can be classified as migraine, tension-type headache (TTH), trigeminal autonomic cephalalgia (TAC), and other primary headaches. Managing and treating these different categories require distinct approaches, and accurate diagnosis is crucial. Functional magnetic resonance imaging (fMRI) has become a research hotspot to explore primary headache. By examining the interrelationships between activated brain regions and improving temporal and spatial resolution, fMRI can distinguish between primary headaches and their subtypes. Currently the most commonly used is the cortical brain mapping technique, which is based on blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI). This review sheds light on the state-of-the-art advancements in data analysis based on fMRI technology for primary headaches along with their subtypes. It encompasses not only the conventional analysis methodologies employed to unravel pathophysiological mechanisms, but also deep-learning approaches that integrate these techniques with advanced statistical modeling and machine learning. The aim is to highlight cutting-edge fMRI technologies and provide new insights into the diagnosis of primary headaches. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision. (Copyright © 2023 Li, Zhang, Chen, Luo, Quan, Wang, Huang and Wang.)
Databáze:	MEDLINE
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