Literature DB >> 19402924

Examination of processing speed deficits in multiple sclerosis using functional magnetic resonance imaging.

Helen M Genova1, Frank G Hillary, Glenn Wylie, Bart Rypma, John Deluca.   

Abstract

Although it is known that processing speed deficits are one of the primary cognitive impairments in multiple sclerosis (MS), the underlying neural mechanisms responsible for impaired processing speed remain undetermined. Using BOLD functional magnetic resonance imaging, the current study compared the brain activity of 16 individuals with MS to 17 healthy controls (HCs) during performance of a processing speed task, a modified version of the Symbol Digit Modalities Task. Although there were no differences in performance accuracy, the MS group was significantly slower than HCs. Although both groups showed similar activation involving the precentral gyrus and occipital cortex, the MS showed significantly less cerebral activity than HCs in bilateral frontal and parietal regions, similar to what has been reported in aging samples during speeded tasks. In the HC group, processing speed was mediated by frontal and parietal regions, as well as the cerebellum and thalamus. In the MS group, processing speed was mediated by insula, thalamus and anterior cingulate. It therefore appears that neural networks involved in processing speed differ between MS and HCs, and our findings are similar to what has been reported in aging, where damage to both white and gray matter is linked to processing speed impairments.

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Year:  2009        PMID: 19402924     DOI: 10.1017/S1355617709090535

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  30 in total

1.  Validity of a computerized version of the symbol digit modalities test in multiple sclerosis.

Authors:  Nadine Akbar; Kimia Honarmand; Nancy Kou; Anthony Feinstein
Journal:  J Neurol       Date:  2010-10-06       Impact factor: 4.849

2.  Multiple sclerosis-related white matter microstructural change alters the BOLD hemodynamic response.

Authors:  Nicholas A Hubbard; Monroe Turner; Joanna L Hutchison; Austin Ouyang; Jeremy Strain; Larry Oasay; Saranya Sundaram; Scott Davis; Gina Remington; Ryan Brigante; Hao Huang; John Hart; Teresa Frohman; Elliot Frohman; Bharat B Biswal; Bart Rypma
Journal:  J Cereb Blood Flow Metab       Date:  2015-11-09       Impact factor: 6.200

3.  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

4.  Changes in frontal-parietal activation and math skills performance following adaptive number sense training: preliminary results from a pilot study.

Authors:  Shelli R Kesler; Kristen Sheau; Della Koovakkattu; Allan L Reiss
Journal:  Neuropsychol Rehabil       Date:  2011-06-30       Impact factor: 2.868

5.  Analysis of "task-positive" and "task-negative" functional networks during the performance of the Symbol Digit Modalities Test in patients at presentation with clinically isolated syndrome suggestive of multiple sclerosis.

Authors:  C Forn; M A Rocca; I Boscá; B Casanova; A Sanjuan; M Filippi
Journal:  Exp Brain Res       Date:  2013-01-04       Impact factor: 1.972

6.  Abnormalities of the executive control network in multiple sclerosis phenotypes: An fMRI effective connectivity study.

Authors:  Ekaterina Dobryakova; Maria Assunta Rocca; Paola Valsasina; Angelo Ghezzi; Bruno Colombo; Vittorio Martinelli; Giancarlo Comi; John DeLuca; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2016-03-09       Impact factor: 5.038

7.  Mapping the neuroanatomic substrates of cognition in familial attention deficit hyperactivity disorder.

Authors:  Rachel Muster; Saadia Choudhury; Wendy Sharp; Steven Kasparek; Gustavo Sudre; Philip Shaw
Journal:  Psychol Med       Date:  2018-05-24       Impact factor: 7.723

8.  Age-related changes in processing speed: unique contributions of cerebellar and prefrontal cortex.

Authors:  Mark A Eckert; Noam I Keren; Donna R Roberts; Vince D Calhoun; Kelly C Harris
Journal:  Front Hum Neurosci       Date:  2010-03-08       Impact factor: 3.169

9.  NIH Toolbox Cognitive Battery (NIHTB-CB): the NIHTB Pattern Comparison Processing Speed Test.

Authors:  Noelle E Carlozzi; David S Tulsky; Nancy D Chiaravalloti; Jennifer L Beaumont; Sandra Weintraub; Kevin Conway; Richard C Gershon
Journal:  J Int Neuropsychol Soc       Date:  2014-06-24       Impact factor: 2.892

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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