Literature DB >> 22964883

Attention-related potentials allow for a highly accurate discrimination of mild cognitive impairment subtypes.

Pascal Missonnier1, François R Herrmann, Jonas Richiardi, Cristelle Rodriguez, Marie-Pierre Deiber, Gabriel Gold, Panteleimon Giannakopoulos.   

Abstract

The three most frequent forms of mild cognitive impairment (MCI) are single-domain amnestic MCI (sd-aMCI), single-domain dysexecutive MCI (sd-dMCI) and multiple-domain amnestic MCI (md-aMCI). Brain imaging differences among single domain subgroups of MCI were recently reported supporting the idea that electroencephalography (EEG) functional hallmarks can be used to differentiate these subgroups. We performed event-related potential (ERP) measures and independent component analysis in 18 sd-aMCI, 13 sd-dMCI and 35 md-aMCI cases during the successful performance of the Attentional Network Test. Sensitivity and specificity analyses of ERP for the discrimination of MCI subgroups were also made. In center-cue and spatial-cue warning stimuli, contingent negative variation (CNV) was elicited in all MCI subgroups. Two independent components (ICA1 and 2) were superimposed in the time range on the CNV. The ICA2 was strongly reduced in sd-dMCI compared to sd-aMCI and md-aMCI (4.3 vs. 7.5% and 10.9% of the CNV component). The parietal P300 ERP latency increased significantly in sd-dMCI compared to md-aMCI and sd-aMCI for both congruent and incongruent conditions. This latency for incongruent targets allowed for a highly accurate separation of sd-dMCI from both sd-aMCI and md-aMCI with correct classification rates of 90 and 81%, respectively. This EEG parameter alone performed much better than neuropsychological testing in distinguishing sd-dMCI from md-aMCI. Our data reveal qualitative changes in the composition of the neural generators of CNV in sd-dMCI. In addition, they document an increased latency of the executive P300 component that may represent a highly accurate hallmark for the discrimination of this MCI subgroup in routine clinical settings.

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Year:  2012        PMID: 22964883     DOI: 10.1159/000338815

Source DB:  PubMed          Journal:  Neurodegener Dis        ISSN: 1660-2854            Impact factor:   2.977


  4 in total

1.  Disentangling the attention network test: behavioral, event related potentials, and neural source analyses.

Authors:  Alejandro Galvao-Carmona; Javier J González-Rosa; Antonio R Hidalgo-Muñoz; Dolores Páramo; María L Benítez; Guillermo Izquierdo; Manuel Vázquez-Marrufo
Journal:  Front Hum Neurosci       Date:  2014-10-13       Impact factor: 3.169

Review 2.  A Review on the Trajectory of Attentional Mechanisms in Aging and the Alzheimer's Disease Continuum through the Attention Network Test.

Authors:  Ian M McDonough; Meagan M Wood; William S Miller
Journal:  Yale J Biol Med       Date:  2019-03-25

Review 3.  Advances in Electrophysiological Research.

Authors:  Chella Kamarajan; Bernice Porjesz
Journal:  Alcohol Res       Date:  2015

4.  Neural correlates of alerting and orienting impairment in multiple sclerosis patients.

Authors:  Manuel Vázquez-Marrufo; Alejandro Galvao-Carmona; Javier J González-Rosa; Antonio R Hidalgo-Muñoz; Mónica Borges; Juan Luis Ruiz-Peña; Guillermo Izquierdo
Journal:  PLoS One       Date:  2014-05-12       Impact factor: 3.240

  4 in total

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