Neurophysiological correlates of cognitive disturbances in multiple sclerosis

Letizia Leocani, Javier J. Gonzalez-Rosa, Giancarlo Comi

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Cognitive impairment is common in multiple sclerosis, mostly attributed to involvement of cortico-cortical and cortico-subcortical connections. The latter may be explored using the analysis of bioelectrical activity such as power and coherence of the electroencephalogram at rest and its reactivity to stimulus processing and cognitive activities, such as event-related desynchronization and event-related potentials. Although these methods are very useful for assessing information processing during cognitive tasks and other activities, their value in detecting cognitive impairment concerning sensitivity and specificity needs to be validated and they have been mostly used for understanding the physiopathology of cognitive impairment in different forms and stages of the diseases. Nevertheless, newer applications such as longitudinal monitoring and effects of treatment, although explored only in pilot studies, seem quite promising allowing objective measures potentially useful as secondary endpoints in clinical trials aimed at preserving or improving cognition in MS patients.

Original languageEnglish
JournalNeurological Sciences
Volume31
Issue numberSUPPL. 2
DOIs
Publication statusPublished - Nov 2010

Fingerprint

Multiple Sclerosis
Automatic Data Processing
Evoked Potentials
Cognition
Electroencephalography
Clinical Trials
Sensitivity and Specificity
Cognitive Dysfunction
Therapeutics
Power (Psychology)

Keywords

  • Cognitive impairment
  • Coherence
  • EEG
  • ERD
  • ERP
  • Multiple sclerosis

ASJC Scopus subject areas

  • Dermatology
  • Clinical Neurology
  • Psychiatry and Mental health

Cite this

Neurophysiological correlates of cognitive disturbances in multiple sclerosis. / Leocani, Letizia; Gonzalez-Rosa, Javier J.; Comi, Giancarlo.

In: Neurological Sciences, Vol. 31, No. SUPPL. 2, 11.2010.

Research output: Contribution to journalArticle

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