ArticleAlzheimer's & dementia (New York, N. Y.)
Electroencephalographic complexity and cognitive decline: Insights from approximate entropy across aging and dementia.
Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPhysiological aging involves gradual modifications of brain activity patterns sometimes leading to pathological outcomes. Understanding changes in brain signal complexity from healthy aging to mild cognitive impairment (MCI) and Alzheimer's disease (AD) may provide insights into cognitive decline and support early diagnosis.
methodsElectroencephalography (EEG) data were collected from 269 participants divided into three groups: healthy elderly (HE,
resultsSignificant group differences in total ApEn were found, particularly in central brain regions, with progressive decreases from HE to MCI and AD. Frequency-specific patterns emerged: (1) delta ApEn was increased in those with AD across the scalp; (2) alpha 1 ApEn showed frontal decreases and occipital increases in the AD group, with an intermediate pattern in MCI; (3) gamma ApEn was markedly reduced in those with AD compared to both HE and MCI groups, with central and frontal localization, and extended occipital differences in those with MCI versus AD. The classifier achieved 66.55% accuracy, with sensitivities of 78.90% (HE), 49.33% (MCI), and 65.88% (AD). Positive correlations were found between ApEn and cognitive scores in both the total EEG spectrum and gamma band; conversely, delta and alpha 1 ApEn showed negative correlations with cognitive and functional scores. DISCUSSION: The distinct entropy patterns observed across frequency bands and scalp/brain regions may help characterize electrophysiological changes associated with cognitive decline and AD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.