Literature DB >> 30468125

Are Cerebral Perfusion and Atrophy Linked in Multiple Sclerosis? Evidence for a Multifactorial Approach to Assess Neurodegeneration.

Maria Marcella Laganá1, Laura Mendozzi1, Laura Pelizzari1,2, Niels Peter Bergsland1,3, Luigi Pugnetti1, Pietro Cecconi1, Giuseppe Baselli2, Mario Clerici1,4, Raffaello Nemni1,4, Francesca Baglio1.   

Abstract

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. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Cerebrovascular circulation; Magnetic Resonancezzm321990Imaging (MRI); atrophy; brain; multiple sclerosis; regional blood flow.

Mesh:

Year:  2018        PMID: 30468125     DOI: 10.2174/1567202616666181123164235

Source DB:  PubMed          Journal:  Curr Neurovasc Res        ISSN: 1567-2026            Impact factor:   1.990


  5 in total

1.  Cerebral blood flow in migraine without aura: ASL-MRI case control study.

Authors:  Luca Giani; Carlo Lovati; Silvia Corno; Maria Marcella Laganà; Francesca Baglio; Claudio Mariani
Journal:  Neurol Sci       Date:  2019-05       Impact factor: 3.307

2.  Cardiac and Respiratory Influences on Intracranial and Neck Venous Flow, Estimated Using Real-Time Phase-Contrast MRI.

Authors:  Maria Marcella Laganà; Alice Pirastru; Francesca Ferrari; Sonia Di Tella; Marta Cazzoli; Laura Pelizzari; Ning Jin; Domenico Zacà; Noam Alperin; Giuseppe Baselli; Francesca Baglio
Journal:  Biosensors (Basel)       Date:  2022-08-08

Review 3.  Detecting neurodegenerative pathology in multiple sclerosis before irreversible brain tissue loss sets in.

Authors:  Jeroen Van Schependom; Kaat Guldolf; Marie Béatrice D'hooghe; Guy Nagels; Miguel D'haeseleer
Journal:  Transl Neurodegener       Date:  2019-12-09       Impact factor: 8.014

4.  Serum Neurofilament Light Chain Levels are Associated with Lower Thalamic Perfusion in Multiple Sclerosis.

Authors:  Dejan Jakimovski; Niels Bergsland; Michael G Dwyer; Deepa P Ramasamy; Murali Ramanathan; Bianca Weinstock-Guttman; Robert Zivadinov
Journal:  Diagnostics (Basel)       Date:  2020-09-11

5.  Local functional connectivity of patients with acute and remitting multiple sclerosis: A Kendall's coefficient of concordance- and coherence-regional homogeneity study.

Authors:  Yanyan Zhu; Muhua Huang; Yanlin Zhao; Yixiu Pei; Yao Wang; Lei Wang; Ting He; Fuqing Zhou; Xianjun Zeng
Journal:  Medicine (Baltimore)       Date:  2020-10-23       Impact factor: 1.817

  5 in total

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