Literature DB >> 26754799

Regional reduction in cortical blood flow among cognitively impaired adults with relapsing-remitting multiple sclerosis patients.

Seyed-Parsa Hojjat1, Charles Grady Cantrell2, Rita Vitorino3, Anthony Feinstein4, Zahra Shirzadi5, Bradley J MacIntosh5, David E Crane3, Lying Zhang3, Sarah A Morrow6, Liesly Lee7, Paul O'Connor8, Timothy J Carroll2, Richard I Aviv5.   

Abstract

PURPOSE: Detection of cortical abnormalities in relapsing-remitting multiple sclerosis (RRMS) remains elusive. Structural magnetic resonance imaging (MRI) measures of cortical integrity are limited, although functional techniques such as pseudo-continuous arterial spin labeling (pCASL) show promise as a surrogate marker of disease severity. We sought to determine the utility of pCASL to assess cortical cerebral blood flow (CBF) in RRMS patients with (RRMS-I) and without (RRMS-NI) cognitive impairment.
METHODS: A total of 19 age-matched healthy controls and 39 RRMS patients were prospectively recruited. Cognition was assessed using the Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS) battery. Cortical CBF was compared between groups using a mass univariate voxel-based morphometric analysis accounting for demographic and structural variable covariates.
RESULTS: Cognitive impairment was present in 51.3% of patients. Significant CBF reduction was present in the RRMS-I compared to other groups in left frontal and right superior frontal cortex. Compared to healthy controls, RRMS-I displayed reduced CBF in the frontal, limbic, parietal and temporal cortex, and putamen/thalamus. RRMS-I demonstrated reduced left superior frontal lobe cortical CBF compared to RRMS-NI. No significant cortical CBF differences were present between healthy controls and RRMS-NI.
CONCLUSION: Significant cortical CBF reduction occurs in RRMS-I compared to healthy controls and RRMS-NI in anatomically significant regions after controlling for structural and demographic differences.
© The Author(s), 2016.

Entities:  

Keywords:  Multiple sclerosis; cognitive disorders; magnetic resonance imaging; neurodegenerative disease; pCASL imaging

Mesh:

Year:  2016        PMID: 26754799      PMCID: PMC4940311          DOI: 10.1177/1352458515622696

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  33 in total

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Authors:  Seyed-Parsa Hojjat; Charles Grady Cantrell; Timothy J Carroll; Rita Vitorino; Anthony Feinstein; Lying Zhang; Sean P Symons; Sarah A Morrow; Liesly Lee; Paul O'Connor; Richard I Aviv
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