ArticleNeurophotonics2018
Study of memory deficit in Alzheimer's disease by means of complexity analysis of fNIRS signal.
Article in Neurophotonics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 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
- Functional near-infrared spectroscopy for identifying mild cognitive impairment and Alzheimer's disease: a systematic review.Frontiers in neurology · 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
- Functional near-infrared spectroscopy: Systematic mapping of abnormal brain function features in neurological disorders.Neural regeneration research · 2026Article
- Multimodal non-invasive approaches for early Alzheimer's disease detection: a review of neuroelectrophysiological and neuroimaging techniques.Frontiers in psychiatry · 2026Review
- Correlation of prefrontal-based resting state functional connectivity with the degree of cognitive impairment in Alzheimer's disease: a functional near-infrared spectroscopy study.Behavioral and brain functions : BBF · 2025Article
- 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
- The Physiologic Complexity of Prefrontal Oxygenation Dynamics Is Associated With Age and Executive Function: An Exploratory Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- The Contribution of Functional Near-Infrared Spectroscopy (fNIRS) to the Study of Neurodegenerative Disorders: A Narrative Review.Diagnostics (Basel, Switzerland) · 2024Review
- Effects of endurance exercise on physiologic complexity of the hemodynamics in prefrontal cortex.Neurophotonics · 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
- Altered Microcirculation in Alzheimer's Disease Assessed by Machine Learning Applied to Functional Thermal Imaging Data.Bioengineering (Basel, Switzerland) · 2022Article
- Neuroimaging Modalities in Alzheimer's Disease: Diagnosis and Clinical Features.International journal of molecular sciences · 2022Review
- Deep Learning-Based Multilevel Classification of Alzheimer's Disease Using Non-invasive Functional Near-Infrared Spectroscopy.Frontiers in aging neuroscience · 2022Article
- The Application of Complexity Analysis in Brain Blood-Oxygen Signal.Brain sciences · 2021Review
- Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ε-Complexity Coefficients.Journal of autism and developmental disorders · 2021Article
- Evidence of Neurovascular Un-Coupling in Mild Alzheimer's Disease through Multimodal EEG-fNIRS and Multivariate Analysis of Resting-State Data.Biomedicines · 2021Article
- Working Memory Decline in Alzheimer's Disease Is Detected by Complexity Analysis of Multimodal EEG-fNIRS.Entropy (Basel, Switzerland) · 2020Article
- A Systematic Review of Cerebral Functional Near-Infrared Spectroscopy in Chronic Neurological Diseases-Actual Applications and Future Perspectives.Diagnostics (Basel, Switzerland) · 2020Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Working memory deficit is a signature of Alzheimer's disease (AD). The free and cued selective reminding test (FCSRT) is a clinical test that quantifies memory deficit for AD diagnosis. However, the diagnostic accuracy of FCSRT may be increased by accompanying it with neuroimaging. Since the test requires doctor-patient interaction, brain monitoring is challenging. Functional near-infrared spectroscopy (fNIRS) could be suited for such a purpose because of the fNIRS flexibility. We investigated whether the complexity, based on sample entropy and multiscale entropy metrics, of the fNIRS signal during FCSRT was correlated with memory deficit in early AD. fNIRS signals were recorded over the prefrontal cortex of healthy and early AD participants. Group differences were tested through Wilcoxon-Mann-Whitney test ([Formula: see text]). At group level, we found significant differences for Brodmann areas 9 and 46. The results, although preliminary, demonstrate the feasibility of performing ecological studies on early AD with fNIRS. This approach may provide a potential neuroimaging-based method for diagnosis of early AD, viable at the doctor's office level, improving test-based diagnosis. The increased entropy of the fNIRS signal in early AD suggests the opportunity for further research on the neurophysiological status in AD and its relevance for clinical symptoms.
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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.