ArticleEntropy (Basel, Switzerland)2019
Complexity of Frontal Cortex fNIRS Can Support Alzheimer Disease Diagnosis in Memory and Visuo-Spatial Tests.
Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 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
- Assessment of dynamic cerebral blood flow changes during cognitive tasks in patients with post-COVID-19 syndrome.Brain communications · 2026Article
- Investigation of hemispheric asymmetry in Alzheimer's disease patients during resting state revealed BY fNIRS.Scientific reports · 2024Article
- Major Role of Multiscale Entropy Evolution in Complex Systems and Data Science.Entropy (Basel, Switzerland) · 2024Article
- Unveiling Neurocognitive Disparities in Encoding and Retrieval between Paper and Digital Tablet-Based Learning.Brain sciences · 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
- System Derived Spatial-Temporal CNN for High-Density fNIRS BCI.IEEE open journal of engineering in medicine and biology · 2023Article
- Hotspots and trends in fNIRS disease research: A bibliometric analysis.Frontiers in neuroscience · 2023Review
- Novel diagnostic tools for identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy: patient-level, single-group, diagnostic trial.Alzheimer's research & therapy · 2022Article
- Screening for Alzheimer's disease using prefrontal resting-state functional near-infrared spectroscopy.Frontiers in human neuroscience · 2022Article
- The Application of Complexity Analysis in Brain Blood-Oxygen Signal.Brain sciences · 2021Review
- Real-World fNIRS Brain Activity Measurements during Ashtanga Vinyasa Yoga.Brain sciences · 2021Article
- Brain hemodynamic response in Examiner-Examinee dyads during spatial short-term memory task: an fNIRS study.Experimental brain research · 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
- fNIRS Complexity Analysis for the Assessment of Motor Imagery and Mental Arithmetic Tasks.Entropy (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Decline in visuo-spatial skills and memory failures are considered symptoms of Alzheimer's Disease (AD) and they can be assessed at early stages employing clinical tests. However, performance in a single test is generally not indicative of AD. Functional neuroimaging, such as functional Near Infrared Spectroscopy (fNIRS), may be employed during these tests in an ecological setting to support diagnosis. Indeed, neuroimaging should not alter clinical practice allowing free doctor-patient interaction. However, block-designed paradigms, necessary for standard functional neuroimaging analysis, require tests adaptation. Novel signal analysis procedures (e.g., signal complexity evaluation) may be useful to establish brain signals differences without altering experimental conditions. In this study, we estimated fNIRS complexity (through Sample Entropy metric) in frontal cortex of early AD and controls during three tests that assess visuo-spatial and short-term-memory abilities (Clock Drawing Test, Digit Span Test, Corsi Block Tapping Test). A channel-based analysis of fNIRS complexity during the tests revealed AD-induced changes. Importantly, a multivariate analysis of fNIRS complexity provided good specificity and sensitivity to AD. This outcome was compared to cognitive tests performances that were predictive of AD in only one test. Our results demonstrated the capabilities of fNIRS and complexity metric to support early AD diagnosis.
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.