Literature DB >> 29786489

Determinants of Cognitive Impairment in Patients with Multiple Sclerosis with and without Atrophy.

Anand J C Eijlers1, Kim A Meijer1, Quinten van Geest1, Jeroen J G Geurts1, Menno M Schoonheim1.   

Abstract

Purpose To investigate the discrepancy between patients with multiple sclerosis (MS) without atrophy who have already developed cognitive impairment and patients with MS with atrophy who have preserved cognitive function. Materials and Methods This retrospective imaging study, with imaging acquired between 2008 and 2012, included 332 patients with MS (106 men and 226 women; mean age, 48.1 years; range, 23.0-72.5 years) and 96 healthy control participants. Cognitive impairment was defined as cognitive performance of z less than -1.5 compared with that in control participants in greater than or equal to two cognitive domains. Atrophy was defined as cortical and deep gray matter volumes of z less than -1.5 compared with that in control participants. White matter lesions were assessed with T2-imaging, tract fractional anisotropy (ie, integrity) with diffusion MRI, and regional centrality (ie, importance within network) with functional MRI. Within each atrophy group, patients with cognitive impairment and preserved cognitive function were compared and regression analyses were performed to predict cognitive impairment. Results A total of 132 of 328 patients with MS had no atrophy; of these, 42 of 132 (32%) had cognitive impairment. Cognitive impairment in patients without atrophy was predicted by level of education (Wald test, 11.63; P < .01) and posterior cingulate centrality (Wald test, 6.82; P < .01). A total of 65 of 328 patients with MS had atrophy; of these, 49 of 65 (75%) had cognitive impairment. Cognitive impairment in patients with atrophy was predicted by white matter tract fractional anisotropy (Wald test, 4.89; P = .03) and posterior cingulate centrality (Wald test, 7.19; P < .01). Conclusion Cognitive impairment was related to white matter damage, but only in patients with MS with atrophy. In patients without atrophy, a lower level of education was most important for cognitive impairment. Posterior cingulate cortex showed functional abnormalities in all MS groups with cognitive impairment, regardless of atrophy. © RSNA, 2018 Online supplemental material is available for this article.

Entities:  

Mesh:

Year:  2018        PMID: 29786489     DOI: 10.1148/radiol.2018172808

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  11 in total

1.  Multimodal assessment of regional gray matter integrity in early relapsing-remitting multiple sclerosis patients with normal cognition: a voxel-based structural and perfusion approach.

Authors:  Hossein Shooli; Reza Nemati; Negar Chabi; Mykol Larvie; Narges Jokar; Habibollah Dadgar; Ali Gholamrezanezhad; Majid Assadi
Journal:  Br J Radiol       Date:  2021-09-07       Impact factor: 3.039

2.  NODDI, diffusion tensor microstructural abnormalities and atrophy of brain white matter and gray matter contribute to cognitive impairment in multiple sclerosis.

Authors:  Paolo Preziosa; Elisabetta Pagani; Alessandro Meani; Olga Marchesi; Lorenzo Conti; Andrea Falini; Maria A Rocca; Massimo Filippi
Journal:  J Neurol       Date:  2022-10-06       Impact factor: 6.682

3.  Structure-function coupling as a correlate and potential biomarker of cognitive impairment in multiple sclerosis.

Authors:  Shanna D Kulik; Ilse M Nauta; Prejaas Tewarie; Ismail Koubiyr; Edwin van Dellen; Aurelie Ruet; Kim A Meijer; Brigit A de Jong; Cornelis J Stam; Arjan Hillebrand; Jeroen J G Geurts; Linda Douw; Menno M Schoonheim
Journal:  Netw Neurosci       Date:  2022-06-01

4.  A more unstable resting-state functional network in cognitively declining multiple sclerosis.

Authors:  Tommy A A Broeders; Linda Douw; Anand J C Eijlers; Iris Dekker; Bernard M J Uitdehaag; Frederik Barkhof; Hanneke E Hulst; Christiaan H Vinkers; Jeroen J G Geurts; Menno M Schoonheim
Journal:  Brain Commun       Date:  2022-04-12

5.  No Plasmatic Proteomic Signature at Clinical Disease Onset Associated With 11 Year Clinical, Cognitive and MRI Outcomes in Relapsing-Remitting Multiple Sclerosis Patients.

Authors:  Claire Bridel; Anand J C Eijlers; Wessel N van Wieringen; Marleen Koel-Simmelink; Cyra E Leurs; Menno M Schoonheim; Joep Killestein; Charlotte E Teunissen
Journal:  Front Mol Neurosci       Date:  2018-10-31       Impact factor: 5.639

6.  Long-range connections are more severely damaged and relevant for cognition in multiple sclerosis.

Authors:  Kim A Meijer; Martijn D Steenwijk; Linda Douw; Menno M Schoonheim; Jeroen J G Geurts
Journal:  Brain       Date:  2020-01-01       Impact factor: 13.501

7.  Resting-state MEG measurement of functional activation as a biomarker for cognitive decline in MS.

Authors:  Deborah N Schoonhoven; Matteo Fraschini; Prejaas Tewarie; Bernard Mj Uitdehaag; Anand Jc Eijlers; Jeroen Jg Geurts; Arjan Hillebrand; Menno M Schoonheim; Cornelis J Stam; Eva Mm Strijbis
Journal:  Mult Scler       Date:  2018-11-22       Impact factor: 6.312

8.  Effects of Massage Therapy on Multiple Sclerosis: a Case Report.

Authors:  Amy Frost-Hunt
Journal:  Int J Ther Massage Bodywork       Date:  2020-12-01

9.  Evaluation of cognitive rehabilitation on the cognitive performance in multiple sclerosis: A randomized controlled trial.

Authors:  Mohammad Mahdi Shahpouri; Majid Barekatain; Mahgol Tavakoli; Shahin Sanaei; Vahid Shaygannejad
Journal:  J Res Med Sci       Date:  2019-12-23       Impact factor: 1.852

10.  Isolated Cognitive Decline in Neurologically Stable Patients with Multiple Sclerosis.

Authors:  Jiri Motyl; Lucie Friedova; Manuela Vaneckova; Jan Krasensky; Balazs Lorincz; Jana Blahova Dusankova; Michaela Andelova; Tom A Fuchs; Eva Kubala Havrdova; Ralph H B Benedict; Dana Horakova; Tomas Uher
Journal:  Diagnostics (Basel)       Date:  2021-03-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.