Literature DB >> 12700913

Analysis of impairment related functional architecture in MS patients during performance of different attention tasks.

Iris-Katharina Penner1, Martin Rausch, Ludwig Kappos, Klaus Opwis, Ernst Wilhelm Radü.   

Abstract

More than 50 % of patients with multiple sclerosis (MS) suffer from cognitive deficits. Attention is one of the most frequently affected cognitive functions. It has been shown that MS patients suffer from a specific but not necessarily from a generalized decrease in performance and that different severity grades of impaired attentional processing can be distinguished. Little is known about patterns of brain activation in MS patients with different grades of attentional deficits. The objective was to examine if different severity grades in attentional impairment are reflected by altered patterns of brain activation in specific attention tasks. In the present study cerebral activation induced by three attention tasks of different complexity was assessed in 14 MS patients and seven healthy controls by functional MRI (fMRI). Based on their performance on the tests recorded off-line with a computerized test battery and during the fMRI investigation, patients were classified as mildly and severely impaired. MS patients with mild impairment showed increased and additional activation of brain areas which were in part not activated in normal subjects. Those were located mainly in the frontal cortex and posterior parietal cortex. This effect decreased with increasing task complexity and was strongest for the alertness task. In MS patients with severe impairment no additional activation was found in prefrontal structures and activation in the premotor cortex was not significantly different from controls. These findings suggest that compensation in MS patients is in part achieved by functional integration of frontal and parietal association areas. The extent of compensation seems to depend on the brain's capacity to access additional brain structures. Exhaustion of this capacity may finally lead to severe cognitive impairment.

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Year:  2003        PMID: 12700913     DOI: 10.1007/s00415-003-1025-0

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  35 in total

1.  Altered functional adaptation to attention and working memory tasks with increasing complexity in relapsing-remitting multiple sclerosis patients.

Authors:  Michael Amann; Lea Sybil Dössegger; Iris-Katharina Penner; Jochen Gunther Hirsch; Carla Raselli; Pasquale Calabrese; Katrin Weier; Ernst-Wilhelm Radü; Ludwig Kappos; Achim Gass
Journal:  Hum Brain Mapp       Date:  2010-11-12       Impact factor: 5.038

Review 2.  Benign multiple sclerosis: does it exist?

Authors:  Jorge Correale; María C Ysrraelit; Marcela P Fiol
Journal:  Curr Neurol Neurosci Rep       Date:  2012-10       Impact factor: 5.081

3.  Compensatory activations in patients with multiple sclerosis during preserved performance on the auditory N-back task.

Authors:  Cristina Forn; Alfonso Barros-Loscertales; Joaquín Escudero; Vicente Benlloch; Salvador Campos; Maria Antònia Parcet; César Avila
Journal:  Hum Brain Mapp       Date:  2007-05       Impact factor: 5.038

4.  Neural mechanisms underlying state mental fatigue in multiple sclerosis: a pilot study.

Authors:  Michelle H Chen; Glenn R Wylie; Brian M Sandroff; Rosalia Dacosta-Aguayo; John DeLuca; Helen M Genova
Journal:  J Neurol       Date:  2020-04-29       Impact factor: 4.849

Review 5.  Imaging of multiple sclerosis: role in neurotherapeutics.

Authors:  Rohit Bakshi; Alireza Minagar; Zeenat Jaisani; Jerry S Wolinsky
Journal:  NeuroRx       Date:  2005-04

6.  Imagined actions in multiple sclerosis patients: evidence of decline in motor cognitive prediction.

Authors:  Andrea Tacchino; Marco Bove; Ludovico Pedullà; Mario Alberto Battaglia; Charalambos Papaxanthis; Giampaolo Brichetto
Journal:  Exp Brain Res       Date:  2013-06-28       Impact factor: 1.972

Review 7.  MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy.

Authors:  Massimo Filippi; M A Rocca
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-31       Impact factor: 3.825

8.  Functional MR imaging correlates of neuropsychological impairment in primary-progressive multiple sclerosis.

Authors:  M A Rocca; G Riccitelli; M Rodegher; A Ceccarelli; A Falini; M Falautano; A Meani; G Comi; Massimo Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2010-03-18       Impact factor: 3.825

Review 9.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

Review 10.  Neuroimaging biomarkers of neurodegenerative diseases and dementia.

Authors:  Shannon L Risacher; Andrew J Saykin
Journal:  Semin Neurol       Date:  2013-11-14       Impact factor: 3.420

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