[P4-245]: WHITE MATTER FRACTIONAL ANISOTROPY ANALYSIS OF BEHAVIOURAL AND COGNITIVE DYSEXECUTIVE SYNDROMES IN AMNESTIC MILD COGNITIVE IMPAIRMENT AND ALZHEIMER'S DISEASE: A MEXICAN PILOT STUDY

2017 ◽  
Vol 13 (7S_Part_28) ◽  
pp. P1371-P1372
Author(s):  
Juan Francisco Flores-Vazquez ◽  
Oscar René Marrufo-Melendez ◽  
Yaneth Rodriguez Agudelo ◽  
Gilberto Isaac Acosta-Castillo ◽  
Daniel Alejandro Lopez Ramos ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Pilot Study ◽  
Fractional Anisotropy ◽  
Amnestic Mild Cognitive Impairment

scholarly journals Electromyographic Activity in the EEG in Alzheimer's Disease: Noise or Signal?

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Karin van der Hiele ◽  
Robert H. A. M. Reijntjes ◽  
Alla A. Vein ◽  
Rudi G. J. Westendorp ◽  
Mark A. van Buchem ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Pilot Study ◽  
Amnestic Mild Cognitive Impairment ◽  
Theta Activity ◽  
Emg Activity ◽  
Electromyographic Activity ◽  
Behavioural Aspects

Many efforts have been directed at negating the influence of electromyographic (EMG) activity on the EEG, especially in elderly demented patients. We wondered whether these “artifacts” might reflect cognitive and behavioural aspects of dementia. In this pilot study, 11 patients with probable Alzheimer's disease (AD), 13 with amnestic mild cognitive impairment (MCI) and 13 controls underwent EEG registration. As EMG measures, we used frontal and temporal 50–70 Hz activity. We found that the EEGs of AD patients displayed more theta activity, less alpha reactivity, and more frontal EMG than controls. Interestingly, increased EMG activity indicated more cognitive impairment and more depressive complaints. EEG variables on the whole distinguished better between groups than EMG variables, but an EMG variable was best for the distinction between MCI and controls. Our results suggest that EMG activity in the EEG could be more than noise; it differs systematically between groups and may reflect different cerebral functions than the EEG.

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