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

Hadiyoso, Sugondo; Wijayanto, Inung; Aulia, Suci

doi:10.11591/ijece.v12i2.pp1558-1564

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

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 2 (2022)

DOI: 10.11591/ijece.v12i2.pp1558-1564
ISSN: 2722-2578, 2088-8708
Published: 2022-04-01
Publisher: Institute of Advanced Engineering and Science
License: creativecommons.org/licenses/by-sa/4.0

Abstract

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

Collaboration network of the authors

17 authors · 29 co-authorship links · 6 across different organisations

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Telkom University
Bandung Institute of Technology
Universitas Gadjah Mada

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Co-author	Organisation	Joint articles
M. I. Arzak	Telkom University	2
Unang Sunarya	Telkom University	2
Yuli Sun Hariyani	Telkom University	2
Achmad Rizal	Telkom University	1
Vera Suryani	Universitas Gadjah Mada	1
Jondri Jondri	Telkom University	1
L. D. Irawati	Telkom University	1
R. R. Adiputra	Telkom University	1
Bagus Budhi L.	Telkom University	1
Angga Rusdinar	Telkom University	1
Yuyun Siti R.	Telkom University	1
Kridanto Surendro	Bandung Institute of Technology	1
Heru Nugroho	Bandung Institute of Technology	1
Tati Latifah Erawati Rajab	Bandung Institute of Technology	1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.

Metadata as oai_dc, converted from Crossref

<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Comparison of resting electroencephalogram coherence in patients with mild cognitive impairment and normal elderly subjects</dc:title><dc:creator>Hadiyoso, Sugondo</dc:creator><dc:creator>Wijayanto, Inung</dc:creator><dc:creator>Aulia, Suci</dc:creator><dc:description>&lt;jats:p&gt;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&amp;amp;lt;0.05) were found in the FP1-FP2 electrode pairs. Meanwhile, significant differences (p&amp;amp;lt;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.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2022-04-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v12i2.pp1558-1564</dc:identifier><dc:identifier>10.11591/ijece.v12i2.pp1558-1564</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 12 No 2 (2022); 1558</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/25973/15505</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>