Literature DB >> 22377806

Diffusion tensor MRI tractography and cognitive impairment in multiple sclerosis.

S Mesaros1, M A Rocca, K Kacar, J Kostic, M Copetti, T Stosic-Opincal, P Preziosa, S Sala, G Riccitelli, M A Horsfield, J Drulovic, G Comi, M Filippi.   

Abstract

OBJECTIVE: To assess the correlation between cognitive impairment and overall vs regional CNS damage, quantified using conventional and diffusion tensor (DT) MRI tractography in multiple sclerosis (MS).
METHODS: Brain dual-echo, T1-weighted, and DT MRI data were acquired from 82 patients with MS. DT tractography was used to produce maps of white matter (WM) tracts involved in cognition. The sensory thalamocortical projections and optic radiations were studied as "control" WM tracts. The contribution of global brain damage (T2 lesion volume, normalized brain volume, gray matter [GM] volume, WM volume, DT MRI measures of normal-appearing WM and GM damage) and damage to selected WM tracts to overall cognitive impairment and to impairment at individual neuropsychological tests was assessed using a random forest (RF) analysis.
RESULTS: Thirty-three patients had cognitive impairment. The majority of MRI measures differed significantly between cognitively impaired and cognitively preserved (CP) patients. Significant correlations were found between performance in the majority of neuropsychological tests and global or regional brain damage (r ranging from -0.60 to 0.57). The RF analysis showed a high performance in classifying cognitively impaired vs CP patients, with a classification (C)-index = 76.8, as well as in classifying patients' impairment in individual neuropsychological tests (C-index between 75.6% and 86.6%). Measures of lesional damage in cognitive-related tracts, rather than measures of normal-appearing WM damage in the same tracts or global brain/WM/GM damage, resulted in the highest classification accuracy.
CONCLUSIONS: Lesions in strategic brain WM tracts contribute to cognitive impairment in MS through a multisystem disconnection syndrome.

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Year:  2012        PMID: 22377806     DOI: 10.1212/WNL.0b013e31824d5859

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  41 in total

Review 1.  Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.

Authors:  Christian Enzinger; Frederik Barkhof; Olga Ciccarelli; Massimo Filippi; Ludwig Kappos; Maria A Rocca; Stefan Ropele; Àlex Rovira; Torben Schneider; Nicola de Stefano; Hugo Vrenken; Claudia Wheeler-Kingshott; Jens Wuerfel; Franz Fazekas
Journal:  Nat Rev Neurol       Date:  2015-11-03       Impact factor: 42.937

2.  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 3.  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 4.  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

5.  Resting state connectivity and cognitive performance in adults with cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy.

Authors:  Breda Cullen; Fiona C Moreton; Michael S Stringer; Rajeev Krishnadas; Dheeraj Kalladka; Maria R López-González; Celestine Santosh; Christian Schwarzbauer; Keith W Muir
Journal:  J Cereb Blood Flow Metab       Date:  2016-02-29       Impact factor: 6.200

6.  Normal appearing white matter permeability: a marker of inflammation and information processing speed deficit among relapsing remitting multiple sclerosis patients.

Authors:  Eldar Eftekhari; Seyed-Parsa Hojjat; Rita Vitorino; Timothy J Carroll; Charles Grady Cantrell; Liesly Lee; Matthew W Taylor; Sarah A Morrow; Haddas Benhabib; Richard I Aviv; Andrea Kassner
Journal:  Neuroradiology       Date:  2017-06-16       Impact factor: 2.804

7.  Functional correlates of cognitive dysfunction in multiple sclerosis: A multicenter fMRI Study.

Authors:  Maria A Rocca; Paola Valsasina; Hanneke E Hulst; Khaled Abdel-Aziz; Christian Enzinger; Antonio Gallo; Debora Pareto; Gianna Riccitelli; Nils Muhlert; Olga Ciccarelli; Frederik Barkhof; Franz Fazekas; Gioacchino Tedeschi; Maria J Arévalo; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2014-07-18       Impact factor: 5.038

Review 8.  Causes, effects and connectivity changes in MS-related cognitive decline.

Authors:  Carolina de Medeiros Rimkus; Martijn D Steenwijk; Frederik Barkhof
Journal:  Dement Neuropsychol       Date:  2016 Jan-Mar

9.  MRI predicts ALVAL and tissue damage in metal-on-metal hip arthroplasty.

Authors:  Danyal H Nawabi; Stephanie Gold; Steven Lyman; Kara Fields; Douglas E Padgett; Hollis G Potter
Journal:  Clin Orthop Relat Res       Date:  2014-02       Impact factor: 4.176

10.  Is the Relationship between Cortical and White Matter Pathologic Changes in Multiple Sclerosis Spatially Specific? A Multimodal 7-T and 3-T MR Imaging Study with Surface and Tract-based Analysis.

Authors:  Céline Louapre; Sindhuja T Govindarajan; Costanza Giannì; Julien Cohen-Adad; Michael D Gregory; A Scott Nielsen; Nancy Madigan; Jacob A Sloane; Revere P Kinkel; Caterina Mainero
Journal:  Radiology       Date:  2015-09-02       Impact factor: 11.105

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