Comparison of resting electroencephalogram coherence in patients with mild cognitive impairment and normal elderly subjects

Mild cognitive impairment (MCI) was a condition beginning before more serious deterioration, leading to Alzheimer’s dementia (AD). MCI detection was needed to determine the patient's therapeutic management. Analysis of electroencephalogram (EEG) coherence is one of the modalities for MCI detection. Therefore, this study investigated the inter and intra-hemispheric coherence over 16 EEG channels in the frequency range of 1-30 Hz. The simulation results showed that most of the electrode pair coherence in MCI patients have decreased compared to normal elderly subjects. In inter hemisphere coherence, significant differences (p<0.05) were found in the FP1-FP2 electrode pairs. Meanwhile, significant differences (p<0.05) were found in almost all pre-frontal area connectivity of the intra-hemisphere coherence pairs. The electrode pairs were FP2-F4, FP2-T4, FP1-F3, FP1-F7, FP1-C3, FP1-T3, FP1-P3, FP1-T5, FP1-O1, F3-O1, and T3-T5. The decreased coherence in MCI patients showed the disconnection of cortical connections as a result of the death of the neurons. Furthermore, the coherence value can be used as a multimodal feature in normal elderly subjects and MCI. It is hoped that current studies may be considered for early detection of Alzheimer’s in a larger population.

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Coherence and phase synchrony analyses of EEG signals in Mild Cognitive Impairment (MCI): A study of functional brain connectivity

Polish Journal of Medical Physics and Engineering ◽

10.2478/pjmpe-2018-0001 ◽

2018 ◽

Vol 24 (1) ◽

pp. 1-9 ◽

Cited By ~ 3

Author(s):

Nita Handayani ◽

Freddy Haryanto ◽

Siti Nurul Khotimah ◽

Idam Arif ◽

Warsito Purwo Taruno

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Healthy Subjects ◽

Elderly Subjects ◽

Control Group ◽

Electrode Pair ◽

Eeg Coherence ◽

Statistical Measure ◽

Phase Synchrony ◽

The Brain

Abstract This paper presents an EEG study for coherence and phase synchrony in mild cognitive impairment (MCI) subjects. MCI is characterized by cognitive decline, which is an early stage of Alzheimer’s disease (AD). AD is a neurodegenerative disorder with symptoms such as memory loss and cognitive impairment. EEG coherence is a statistical measure of correlation between signals from electrodes spatially separated on the scalp. The magnitude of phase synchrony is expressed in the phase locking value (PLV), a statistical measure of neuronal connectivity in the human brain. Brain signals were recorded using an Emotiv Epoc 14-channel wireless EEG at a sampling frequency of 128 Hz. In this study, we used 22 elderly subjects consisted of 10 MCI subjects and 12 healthy subjects as control group. The coherence between each electrode pair was measured for all frequency bands (delta, theta, alpha and beta). In the MCI subjects, the value of coherence and phase synchrony was generally lower than in the healthy subjects especially in the beta frequency. A decline of intrahemisphere coherence in the MCI subjects occurred in the left temporo-parietal-occipital region. The pattern of decline in MCI coherence is associated with decreased cholinergic connectivity along the path that connects the temporal, occipital, and parietal areas of the brain to the frontal area of the brain. EEG coherence and phase synchrony are able to distinguish persons who suffer AD in the early stages from healthy elderly subjects.

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Faculty Opinions recommendation of Surgery and brain atrophy in cognitively normal elderly subjects and subjects diagnosed with mild cognitive impairment.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.13988983.15768119 ◽

2012 ◽

Author(s):

Luzius A Steiner ◽

Christoph Burkhart

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Brain Atrophy ◽

Elderly Subjects ◽

Cognitively Normal

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A score based on screening tests to differentiate mild cognitive impairment from subjective memory complaints

Neurology International ◽

10.4081/ni.2013.e16 ◽

2013 ◽

Vol 5 (3) ◽

pp. 16 ◽

Cited By ~ 4

Author(s):

Fábio Henrique De Gobbi Porto ◽

Lívia Spíndola ◽

Maira Okada De Oliveira ◽

Patrícia Helena Figuerêdo Do Vale ◽

Marco Orsini ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Characteristic Curve ◽

Neuropsychological Testing ◽

Area Under The Curve ◽

Screening Tests ◽

Elderly Subjects ◽

Subjective Memory ◽

Delayed Recall ◽

Memory Complaints

It is not easy to differentiate patients with mild cognitive impairment (MCI) from subjective memory complainers (SMC). Assessments with screening cognitive tools are essential, particularly in primary care where most patients are seen. The objective of this study was to evaluate the diagnostic accuracy of screening cognitive tests and to propose a score derived from screening tests. Elderly subjects with memory complaints were evaluated using the Mini Mental State Examination (MMSE) and the Brief Cognitive Battery (BCB). We added two delayed recalls in the MMSE (a delayed recall and a late-delayed recall, LDR), and also a phonemic fluency test of letter P fluency (LPF). A score was created based on these tests. The diagnoses were made on the basis of clinical consensus and neuropsychological testing. Receiver operating characteristic curve analyses were used to determine area under the curve (AUC), the sensitivity and specificity for each test separately and for the final proposed score. MMSE, LDR, LPF and delayed recall of BCB scores reach statistically significant differences between groups (P=0.000, 0.03, 0.001 and 0.01, respectively). Sensitivity, specificity and AUC were MMSE: 64%, 79% and 0.75 (cut off <29); LDR: 56%, 62% and 0.62 (cut off <3); LPF: 71%, 71% and 0.71 (cut off <14); delayed recall of BCB: 56%, 82% and 0.68 (cut off <9). The proposed score reached a sensitivity of 88% and 76% and specificity of 62% and 75% for cut off over 1 and over 2, respectively. AUC were 0.81. In conclusion, a score created from screening tests is capable of discriminating MCI from SMC with moderate to good accurancy.

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P2-149: The Mini-Mental State Examination gradient in community healthy elderly subjects, mild cognitive impairment and mild dementia

Alzheimer s & Dementia ◽

10.1016/j.jalz.2010.05.1196 ◽

2010 ◽

Vol 6 ◽

pp. S357-S357

Author(s):

Lívia G. Rodrigues ◽

Ana Luiza Camozzato ◽

Renata Kochhann ◽

Claudia Godinho ◽

Maria Otilia Cerveira ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Mental State ◽

Mini Mental State Examination ◽

Elderly Subjects ◽

Mild Dementia ◽

Healthy Elderly ◽

State Examination ◽

Healthy Elderly Subjects

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Ecological assessment of executive functions in mild cognitive impairment and mild Alzheimer’s disease

Journal of the International Neuropsychological Society ◽

10.1017/s135561770999035x ◽

2009 ◽

Vol 15 (5) ◽

pp. 751-757 ◽

Cited By ~ 32

Author(s):

ANA ESPINOSA ◽

MONTSERRAT ALEGRET ◽

MERCÈ BOADA ◽

GEORGINA VINYES ◽

SERGI VALERO ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Behavioral Assessment ◽

Elderly Subjects ◽

Action Program ◽

Dysexecutive Syndrome ◽

Six Elements ◽

Normal Cognition

AbstractAlthough memory deficits are typically the earliest and most profound symptoms of Alzheimer’s disease (AD) and mild cognitive impairment (MCI), there is increasing recognition of subtle executive dysfunctions in these patients. The purpose of the present study was to determine the sensitivity of the Behavioral Assessment of the Dysexecutive Syndrome (BADS), and to detect early specific signs of the dysexecutive syndrome in the transition from normal cognition to dementia. The BADS was administered to 50 MCI subjects, 50 mild AD patients, and 50 normal controls. Statistically significant differences were found among the three groups with the AD patients performing most poorly, and the MCI subjects performing between controls and AD patients. The Rule Shift Cards and the Action Program subtests were the most highly discriminative between MCI and controls; the Zoo Map and Modified Six Elements between MCI and AD; and the Action Program, Zoo Map, and Modified Six Elements between AD and controls. These results demonstrate that the BADS is clinically useful in discriminating between normal cognition and progressive neurodegenerative conditions. Furthermore, these data confirm the presence of a dysexecutive syndrome even in mildly impaired elderly subjects. (JINS, 2009, 15, 751–757.)

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Prevalence of mild cognitive impairment: a population-based study in elderly subjects

Acta Neurologica Scandinavica ◽

10.1034/j.1600-0404.2002.01225.x ◽

2002 ◽

Vol 106 (3) ◽

pp. 148-154 ◽

Cited By ~ 161

Author(s):

T. Hänninen ◽

M. Hallikainen ◽

S. Tuomainen ◽

M. Vanhanen ◽

H. Soininen

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Population Based ◽

Elderly Subjects ◽

Population Based Study

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Validation of the Cuban Version of Addenbrooke’s Cognitive Examination-Revised for Screening Mild Cognitive Impairment

Dementia and Geriatric Cognitive Disorders ◽

10.1159/000481345 ◽

2017 ◽

Vol 44 (5-6) ◽

pp. 320-327 ◽

Cited By ~ 1

Author(s):

Yunier Broche-Pérez ◽

Héctor Alejandro López-Pujol

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Operating Characteristic ◽

Mini Mental State Examination ◽

Screening Tool ◽

Roc Curves ◽

Elderly Subjects ◽

Psychometric Scales ◽

State Examination ◽

Addenbrooke’S Cognitive Examination

Background/Aims: The diagnostic accuracy of the Cuban version of the revised Addenbrooke’s Cognitive Examination (ACE-R) in identifying mild cognitive impairment (MCI) in comparison with the Mini-Mental State Examination (MMSE) was assessed. Methods: The Cuban ACE-R was administered to a group of 129 elderly subjects (92 cognitively healthy and 37 subjects with MCI). The t tests for independent samples were used to compare scores of different psychometric scales between groups, and effect sizes (Cohen’s d) were calculated. Cronbach’s coefficient α was used to evaluate the reliability of psychometric scales. The validity of ACE-R to screen for MCI was assessed by receiver operating characteristic (ROC) curves. Results: The Cuban ACE-R had reliable internal consistency (Cronbach’s coefficient α = 0. 879). The optimal cut-off score for ACE-R for detecting MCI was 84/85. The sensitivity and specificity of ACE-R to screen for MCI was superior to those of MMSE. The area under the ROC curve of the Cuban ACE-R was much larger than that of MMSE (0.93 and 0.63) for detecting MCI. Conclusion: The Cuban ACE-R is a valid screening tool for detecting cognitive impairment. It is more sensitive and accurate in screening for MCI than MMSE.

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