Literature DB >> 22062194

Multiple white matter tract abnormalities underlie cognitive impairment in RRMS.

Hui Jing Yu1, Christopher Christodoulou, Vikram Bhise, Daniel Greenblatt, Yashma Patel, Dana Serafin, Mirjana Maletic-Savatic, Lauren B Krupp, Mark E Wagshul.   

Abstract

Diffusion tensor imaging (DTI) is a sensitive tool for detecting microstructural tissue damage in vivo. In this study, we investigated DTI abnormalities in individuals with relapsing remitting multiple sclerosis (RRMS) and examined the relations between imaging-based measures of white matter injury and cognitive impairment. DTI-derived metrics using tract-based spatial statistics (TBSS) were compared between 37 individuals with RRMS and 20 healthy controls. Cognitive impairment was assessed with three standard tests: the Symbol Digit Modalities Test (SDMT), which measures cognitive processing speed and visual working memory, the Rey Auditory Verbal Learning Test (RAVLT), which examines verbal memory, and the Paced Auditory Serial Addition Test (PASAT), which assesses sustained attention and working memory. Correlations between DTI-metrics and cognition were explored in regions demonstrating significant differences between the RRMS patients and the control group. Lower fractional anisotropy (FA) was found in RRMS participants compared to controls across the tract skeleton (0.40 ± 0.03 vs. 0.43 ± 0.01, p<0.01). In areas of reduced FA, mean diffusivity was increased and was dominated by increased radial diffusivity with no significant change in axial diffusivity, an indication of the role of damage to CNS myelin in MS pathology. In the RRMS group, voxelwise correlations were found between FA reduction and cognitive impairment in cognitively-relevant tracts, predominantly in the posterior thalamic radiation, the sagittal stratum, and the corpus callosum; the strongest correlations were with SDMT measures, with contributions to these associations from both lesion and normal-appearing white matter. Moreover, results using threshold-free cluster enhancement (TFCE) showed more widespread white matter involvement compared to cluster-based thresholding. These findings indicate the important role for DTI in delineating mechanisms underlying MS-associated cognitive impairment and suggest that DTI could play a critical role in monitoring the clinical and cognitive effects of the disease.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 22062194     DOI: 10.1016/j.neuroimage.2011.10.053

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  51 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

2.  Brain networks disconnection in early multiple sclerosis cognitive deficits: an anatomofunctional study.

Authors:  Céline Louapre; Vincent Perlbarg; Daniel García-Lorenzo; Marika Urbanski; Habib Benali; Rana Assouad; Damien Galanaud; Léorah Freeman; Benedetta Bodini; Caroline Papeix; Ayman Tourbah; Catherine Lubetzki; Stéphane Lehéricy; Bruno Stankoff
Journal:  Hum Brain Mapp       Date:  2014-03-31       Impact factor: 5.038

3.  Connectivity-based parcellation of the thalamus in multiple sclerosis and its implications for cognitive impairment: A multicenter study.

Authors:  Alvino Bisecco; Maria A Rocca; Elisabetta Pagani; Laura Mancini; Christian Enzinger; Antonio Gallo; Hugo Vrenken; Maria Laura Stromillo; Massimiliano Copetti; David L Thomas; Franz Fazekas; Gioacchino Tedeschi; Frederik Barkhof; Nicola De Stefano; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2015-04-14       Impact factor: 5.038

Review 4.  Functional topography of the corpus callosum investigated by DTI and fMRI.

Authors:  Mara Fabri; Chiara Pierpaoli; Paolo Barbaresi; Gabriele Polonara
Journal:  World J Radiol       Date:  2014-12-28

Review 5.  Tracking cerebral white matter changes across the lifespan: insights from diffusion tensor imaging studies.

Authors:  Qian Jun Yap; Irvin Teh; Paolo Fusar-Poli; Min Yi Sum; Carissa Kuswanto; Kang Sim
Journal:  J Neural Transm (Vienna)       Date:  2013-01-18       Impact factor: 3.575

6.  Diffusion tensor imaging and neurocognition in survivors of childhood acute lymphoblastic leukaemia.

Authors:  Michelle N Edelmann; Kevin R Krull; Wei Liu; John O Glass; Qing Ji; Robert J Ogg; Noah D Sabin; Deo Kumar Srivastava; Leslie L Robison; Melissa M Hudson; Wilburn E Reddick
Journal:  Brain       Date:  2014-08-13       Impact factor: 13.501

7.  Comparing fractional anisotropy in patients with childhood-onset schizophrenia, their healthy siblings, and normal volunteers through DTI.

Authors:  Marcel E Moran; Zoe I Luscher; Harrison McAdams; John T Hsu; Deanna Greenstein; Liv Clasen; Katharine Ludovici; Jonae Lloyd; Judith Rapoport; Susumu Mori; Nitin Gogtay
Journal:  Schizophr Bull       Date:  2014-09-12       Impact factor: 9.306

8.  White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset.

Authors:  Sindhuja Tirumalai Govindarajan; Yilin Liu; Maria Andrea Parra Corral; Lev Bangiyev; Lauren Krupp; Leigh Charvet; Tim Q Duong
Journal:  Brain Imaging Behav       Date:  2021-06       Impact factor: 3.978

Review 9.  Cognitive and emotional control of pain and its disruption in chronic pain.

Authors:  M Catherine Bushnell; Marta Ceko; Lucie A Low
Journal:  Nat Rev Neurosci       Date:  2013-05-30       Impact factor: 34.870

10.  Early white matter changes in childhood multiple sclerosis: a diffusion tensor imaging study.

Authors:  A Blaschek; D Keeser; S Müller; I K Koerte; A Sebastian Schröder; W Müller-Felber; F Heinen; B Ertl-Wagner
Journal:  AJNR Am J Neuroradiol       Date:  2013-05-16       Impact factor: 3.825

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.