Background Grey matter (GM) atrophy has been extensively described in Multiple Sclerosis (MS) patients, while cerebral hypoperfusion has been less consistently reported. Since hypoperfusion might be related to atrophy, we evaluated the presence of both damages. Objective We aimed to assess if the regions of altered perfusion and atrophy overlapped with one another and if the two parameters were locally related. Method 3D-T1 weighted and arterial spin labelling sequences were acquired using a 1.5T Magnetic Resonance Imaging scanner from 26 relapsing remitting MS patients and 26 healthy controls (HC). GM volume and cerebral blood flow (CBF) differences and their correlation were tested with a voxel-wise approach. Results MS patients (41.4±12.5 years; 14 females) had a median [25th-75th percentile range] Expanded Disability Status Scale of 1.0[1.0-2.4] and a median [25th - 75th percentile range] disease duration of 8.0 [4.0 - 16.5] years. HC were age- and sex-matched (43.9±17.4 years; 11 females). GM atrophy was detected for MS group in the right parahippocampal gyrus, thalami and left caudate (pFWE≤0.05). Areas of significant (after family wise error -FWE- correction for multiple comparisons) (pFWE≤0.05) hypoperfusion were found for MS in the anterior cingulate and paracingulate gyri, supplementary motor cortex, precentral and superior frontal gyrus. GM volume and CBF showed a significant correlation (pFWE≤0.05) in the right lateral occipital cortex and precuneus in the MS group. Conclusions GM atrophy and hypoperfusion in MS were located in different areas. Perfusion estimate might be used as a further marker of tissue damage, in addition to GM volume.
Titolo: | Are cerebral perfusion and atrophy linked in multiple sclerosis? Evidence for a multifactorial approach to assess neurodegeneration |
Autori: | |
Parole Chiave: | Atrophy; Brain; Cerebrovascular Circulation; Multiple sclerosis; Regional blood flow; Magnetic Resonance Imaging |
Settore Scientifico Disciplinare: | Settore MED/26 - Neurologia Settore MED/37 - Neuroradiologia |
Data di pubblicazione: | 2018 |
Rivista: | |
Tipologia: | Article (author) |
Digital Object Identifier (DOI): | 10.2174/1567202616666181123164235 |
Appare nelle tipologie: | 01 - Articolo su periodico |