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Microstate connectivity alterations in patients with early Alzheimer's disease.

Hatz F, Hardmeier M, Benz N, Ehrensperger M, Gschwandtner U, Rüegg S, Schindler C, Monsch AU, Fuhr P - Alzheimers Res Ther (2015)

Bottom Line: Networks were reduced to 22 nodes for statistical analysis.The domain score for verbal learning and memory and the microstate segmented PLI between the left centro-lateral and parieto-occipital regions in the theta band at baseline differentiated significantly between the groups.Combining neuropsychological and quantitative EEG test results allows differentiation between subjects with aMCI remaining stable and subjects with aMCI deteriorating over 30 months.

View Article: PubMed Central - PubMed

Affiliation: Department of Neurology, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland. florian.hatz@usb.ch.

ABSTRACT

Introduction: Electroencephalography (EEG) microstates and brain network are altered in patients with Alzheimer's disease (AD) and discussed as potential biomarkers for AD. Microstates correspond to defined states of brain activity, and their connectivity patterns may change accordingly. Little is known about alteration of connectivity in microstates, especially in patients with amnestic mild cognitive impairment with stable or improving cognition within 30 months (aMCI).

Methods: Thirty-five outpatients with aMCI or mild dementia (mean age 77 ± 7 years, 47% male, Mini Mental State Examination score ≥24) had comprehensive neuropsychological and clinical examinations. Subjects with cognitive decline over 30 months were allocated to the AD group, subjects with stable or improving cognition to the MCI-stable group. Results of neuropsychological testing at baseline were summarized in six domain scores. Resting state EEG was recorded with 256 electrodes and analyzed using TAPEEG. Five microstates were defined and individual data fitted. After phase transformation, the phase lag index (PLI) was calculated for the five microstates in every subject. Networks were reduced to 22 nodes for statistical analysis.

Results: The domain score for verbal learning and memory and the microstate segmented PLI between the left centro-lateral and parieto-occipital regions in the theta band at baseline differentiated significantly between the groups. In the present sample, they separated in a logistic regression model with a 100% positive predictive value, 60% negative predictive value, 100% specificity and 77% sensitivity between AD and MCI-stable.

Conclusions: Combining neuropsychological and quantitative EEG test results allows differentiation between subjects with aMCI remaining stable and subjects with aMCI deteriorating over 30 months.

No MeSH data available.


Related in: MedlinePlus

Significant results of graph analysis. Axes indicate raw values of degree diversity and radius p values derived by Kruskal-Wallis test for three-group comparisons and Mann-Whitney U test for two-group comparisons, '+' are outliers. AD Alzheimer’s disease, MCIstable patients with stable or improving cognition within 30 months, HC healthy control subjects
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Fig6: Significant results of graph analysis. Axes indicate raw values of degree diversity and radius p values derived by Kruskal-Wallis test for three-group comparisons and Mann-Whitney U test for two-group comparisons, '+' are outliers. AD Alzheimer’s disease, MCIstable patients with stable or improving cognition within 30 months, HC healthy control subjects

Mentions: Among the results of the graph analysis, only radius of theta connectomes differentiated the three groups. The radius was smaller in the AD group than in the MCI-stable and HC groups. Kw showed a trend toward higher values in the AD group than in the MCI-stable and HC groups (Fig. 6).Fig. 6


Microstate connectivity alterations in patients with early Alzheimer's disease.

Hatz F, Hardmeier M, Benz N, Ehrensperger M, Gschwandtner U, Rüegg S, Schindler C, Monsch AU, Fuhr P - Alzheimers Res Ther (2015)

Significant results of graph analysis. Axes indicate raw values of degree diversity and radius p values derived by Kruskal-Wallis test for three-group comparisons and Mann-Whitney U test for two-group comparisons, '+' are outliers. AD Alzheimer’s disease, MCIstable patients with stable or improving cognition within 30 months, HC healthy control subjects
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4697314&req=5

Fig6: Significant results of graph analysis. Axes indicate raw values of degree diversity and radius p values derived by Kruskal-Wallis test for three-group comparisons and Mann-Whitney U test for two-group comparisons, '+' are outliers. AD Alzheimer’s disease, MCIstable patients with stable or improving cognition within 30 months, HC healthy control subjects
Mentions: Among the results of the graph analysis, only radius of theta connectomes differentiated the three groups. The radius was smaller in the AD group than in the MCI-stable and HC groups. Kw showed a trend toward higher values in the AD group than in the MCI-stable and HC groups (Fig. 6).Fig. 6

Bottom Line: Networks were reduced to 22 nodes for statistical analysis.The domain score for verbal learning and memory and the microstate segmented PLI between the left centro-lateral and parieto-occipital regions in the theta band at baseline differentiated significantly between the groups.Combining neuropsychological and quantitative EEG test results allows differentiation between subjects with aMCI remaining stable and subjects with aMCI deteriorating over 30 months.

View Article: PubMed Central - PubMed

Affiliation: Department of Neurology, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland. florian.hatz@usb.ch.

ABSTRACT

Introduction: Electroencephalography (EEG) microstates and brain network are altered in patients with Alzheimer's disease (AD) and discussed as potential biomarkers for AD. Microstates correspond to defined states of brain activity, and their connectivity patterns may change accordingly. Little is known about alteration of connectivity in microstates, especially in patients with amnestic mild cognitive impairment with stable or improving cognition within 30 months (aMCI).

Methods: Thirty-five outpatients with aMCI or mild dementia (mean age 77 ± 7 years, 47% male, Mini Mental State Examination score ≥24) had comprehensive neuropsychological and clinical examinations. Subjects with cognitive decline over 30 months were allocated to the AD group, subjects with stable or improving cognition to the MCI-stable group. Results of neuropsychological testing at baseline were summarized in six domain scores. Resting state EEG was recorded with 256 electrodes and analyzed using TAPEEG. Five microstates were defined and individual data fitted. After phase transformation, the phase lag index (PLI) was calculated for the five microstates in every subject. Networks were reduced to 22 nodes for statistical analysis.

Results: The domain score for verbal learning and memory and the microstate segmented PLI between the left centro-lateral and parieto-occipital regions in the theta band at baseline differentiated significantly between the groups. In the present sample, they separated in a logistic regression model with a 100% positive predictive value, 60% negative predictive value, 100% specificity and 77% sensitivity between AD and MCI-stable.

Conclusions: Combining neuropsychological and quantitative EEG test results allows differentiation between subjects with aMCI remaining stable and subjects with aMCI deteriorating over 30 months.

No MeSH data available.


Related in: MedlinePlus