Back to Search
Start Over
Gray matter alteration in medication overuse headache: a coordinates-based activation likelihood estimation meta-analysis
- Source :
- Brain Imaging and Behavior. 16:2307-2319
- Publication Year :
- 2022
- Publisher :
- Springer Science and Business Media LLC, 2022.
-
Abstract
- Medication overuse headache (MOH) is a prevalent secondary headache, bringing heavy economic burden and neuropsychological damage. Neuroimaging studies on the disease reported divergent results. To merge the reported neuroimaging alterations in MOH patients and explore a pathophysiological mechanism of this disorder. A meta-analytic activation likelihood estimation (ALE) analysis method was used. We systematically searched English and Chinese databases for both morphological and functional neuroimaging studies published before Nov 18, 2021. Reported altered brain regions and the stereotactic coordinates of their peaks were extracted and pooled by GingerALE using Gaussian probability distribution into brain maps, illustrating converged regions of alteration among studies. We identified 927 articles, of which five studies on gray matter changes, using voxel-based morphometry (VBM) were eventually included for ALE analysis, with 344 subjects and 54 coordinates put into GingerALE. No functional magnetic resonance imaging (fMRI) or positron emission topography (PET) studies were included for pooling. Compared with healthy controls (HCs), MOH featured increased gray matter density in midbrain, striatum, cingulate, inferior parietal cortex and cerebellum (P P P P
- Subjects :
- Likelihood Functions
Cognitive Neuroscience
Headache
Brain
Magnetic Resonance Imaging
Behavioral Neuroscience
Psychiatry and Mental health
Cellular and Molecular Neuroscience
Neurology
Headache Disorders, Secondary
Humans
Radiology, Nuclear Medicine and imaging
Neurology (clinical)
Gray Matter
Subjects
Details
- ISSN :
- 19317565 and 19317557
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Brain Imaging and Behavior
- Accession number :
- edsair.doi.dedup.....c608bdc312bd68c001bb36edefbc368b