ArticleEntropy (Basel, Switzerland)2020
Working Memory Decline in Alzheimer's Disease Is Detected by Complexity Analysis of Multimodal EEG-fNIRS.
Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Diagnostic potential of near-infrared spectroscopy in mild cognitive impairment and neurodegenerative disorders: Implications for resource-limited settings.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Pooled it
- Using mindfulness-based intervention to promote executive function in young children: a multivariable and multiscale sample entropy study.Cerebral cortex (New York, N.Y. : 1991) · 2024Trial
- Advancing pain assessment in Alzheimer's disease and related dementias: Functional near-infrared spectroscopy for investigating brain activity.British journal of pain · 2026Article
- Toward practical BCIs: a BMNABC-based feature selection and sensor optimization framework for implicit learning detection from multimodal EEG-fNIRS data.Frontiers in human neuroscience · 2026Article
- Differences in brain function entropy due to cognitive impairment: Application of functional near infrared spectroscopy measures during dual-tasking.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2025Article
- Article
- Neurovascular phase coherence is altered in Alzheimer's disease.Brain communications · 2025Article
- Multimodal fNIRS-EEG sensor fusion: Review of data-driven methods and perspective for naturalistic brain imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Integrating Neuroimaging and Genetics via Contrastive Learning for Working Memory.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2024Article
- Hybrid Integrated Wearable Patch for Brain EEG-fNIRS Monitoring.Sensors (Basel, Switzerland) · 2024Article
- Linear mixed-effect models for correlated response to process electroencephalogram recordings.Cognitive neurodynamics · 2024Article
- A comprehensive research setup for monitoring Alzheimer's disease using EEG, fNIRS, and Gait analysis.Biomedical engineering letters · 2024Article
- Cortical activation in elderly patients with Alzheimer's disease dementia during working memory tasks: a multichannel fNIRS study.Frontiers in aging neuroscience · 2024Article
- Motivation-related influences on fNIRS signals during walking exercise: a permutation entropy approach.Experimental brain research · 2023Article
- Brain Complexity and Psychiatric Disorders.Iranian journal of psychiatry · 2023Review
- Intraoperative thermal infrared imaging in neurosurgery: machine learning approaches for advanced segmentation of tumors.Physical and engineering sciences in medicine · 2023Article
- The effect of EEG and fNIRS in the digital assessment and digital therapy of Alzheimer's disease: a systematic review.Frontiers in neuroscience · 2023Review
- Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine.Frontiers in neuroscience · 2023Article
- Elder's life course theory and person-centered research: A lens for conducting ethical nursing research and mental health nursing practice with older adults aging with the diagnosis of schizophrenia.Journal of psychiatric and mental health nursing · 2022Article
- Psychophysiological Assessment of Children with Cerebral Palsy during Robotic-Assisted Gait Training through Infrared Imaging.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
Alzheimer's disease (AD) is characterized by working memory (WM) failures that can be assessed at early stages through administering clinical tests. Ecological neuroimaging, such as Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS), may be employed during these tests to support AD early diagnosis within clinical settings. Multimodal EEG-fNIRS could measure brain activity along with neurovascular coupling (NC) and detect their modifications associated with AD. Data analysis procedures based on signal complexity are suitable to estimate electrical and hemodynamic brain activity or their mutual information (NC) during non-structured experimental paradigms. In this study, sample entropy of whole-head EEG and frontal/prefrontal cortex fNIRS was evaluated to assess brain activity in early AD and healthy controls (HC) during WM tasks (i.e., Rey-Osterrieth complex figure and Raven's progressive matrices). Moreover, conditional entropy between EEG and fNIRS was evaluated as indicative of NC. The findings demonstrated the capability of complexity analysis of multimodal EEG-fNIRS to detect WM decline in AD. Furthermore, a multivariate data-driven analysis, performed on these entropy metrics and based on the General Linear Model, allowed classifying AD and HC with an AUC up to 0.88. EEG-fNIRS may represent a powerful tool for the clinical evaluation of WM decline in early AD.
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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.