Disease-specific intrinsic frequency alterations in electroencephalographic signals of Alzheimer’s disease, frontotemporal dementia, and Parkinson’s disease

Matlab functions and sample scripts for dynamic mode decomposition (DMD), including the calculation and classification of spatial dynamic mode (sDM) and temporal frequency dynamic mode (tfDM) features.

Authors

Kei Majima (ORCID: https://orcid.org/0000-0002-2405-4113)
Ryohei Fukuma (ORCID: https://orcid.org/0000-0002-3316-9561)
Takufumi Yanagisawa (ORCID: https://orcid.org/0000-0002-2057-0612)
Haruhiko Kishima (ORCID: https://orcid.org/0000-0002-9041-2337)
Okito Yamashita
Yoshinobu Kawahara

Publication Details

Journal: Communications Medicine
Published: 2026-10-06
DOI: https://doi.org/10.1038/s43856-026-01942-7
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 0.00

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article

Disease-specific intrinsic frequency alterations in electroencephalographic signals of Alzheimer’s disease, frontotemporal dementia, and Parkinson’s disease

Kei Majima, Ryohei Fukuma, Takufumi Yanagisawa, Haruhiko Kishima et al.

Oct 6, 2026

Communications Medicine

EEG and Brain-Computer Interfaces

article

Disease-specific intrinsic frequency alterations in electroencephalographic signals of Alzheimer’s disease, frontotemporal dementia, and Parkinson’s disease

Kei Majima, Ryohei Fukuma, Takufumi Yanagisawa, Haruhiko Kishima, Okito Yamashita, Yoshinobu Kawahara

October 6, 2026article en

Abstract

Matlab functions and sample scripts for dynamic mode decomposition (DMD), including the calculation and classification of spatial dynamic mode (sDM) and temporal frequency dynamic mode (tfDM) features.

Communications Medicine

Good health and well-being

Openalex Percentile: Top 22%

EEG and Brain-Computer Interfaces

DOI Open Access PDF OpenAlex

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