ArticleAlzheimer's research & therapy2016
Brain activation in frontotemporal and Alzheimer's dementia: a functional near-infrared spectroscopy study.
Article in Alzheimer's research & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
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34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 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
- Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial.Alzheimer's research & therapy · 2023Trial
- Functional near-infrared spectroscopy: Systematic mapping of abnormal brain function features in neurological disorders.Neural regeneration research · 2026Article
- Quantitative mapping of prefrontal oxygenation dysfunction and neuropsychiatric symptoms in patients with systemic lupus erythematosus: a multichannel functional near-infrared spectroscopy study.Lupus science & medicine · 2026Article
- Functional near-infrared spectroscopy (fNIRS) in medical research: applications, opportunities, and challenges.Chinese medicine · 2026Review
- Target-level convergence of directional prefrontal connectivity across Alzheimer's disease stages: an fNIRS study.Frontiers in aging neuroscience · 2026Article
- Quantification of Protein Secondary Structures from Discrete Frequency Infrared Images Using Machine Learning.Applied spectroscopy · 2025Article
- Effective Functional Pattern Between Prefrontal fNIRS Activity and Cognitive Performance in Patients With Parkinson's Disease: A Data-Driven PLS Approach.Brain and behavior · 2025Article
- Functional connectivity characteristics of epilepsy with anxiety: A resting-state functional near-infrared spectroscopy study.Medicine · 2025Observational
- Alteration of prefrontal functional connectivity in preclinical Alzheimer's disease: an fNIRS study.Frontiers in aging neuroscience · 2025Article
- Association of Compensatory Mechanisms in Prefrontal Cortex and Impaired Anatomical Correlates in Semantic Verbal Fluency: A Functional Near-Infrared Spectroscopy Study.Psychiatry investigation · 2024Article
- Phase-based structured interrogation frequency-domain near-infrared spectroscopy.Journal of the Optical Society of America. A, Optics, image science, and vision · 2024Article
- The Contribution of Functional Near-Infrared Spectroscopy (fNIRS) to the Study of Neurodegenerative Disorders: A Narrative Review.Diagnostics (Basel, Switzerland) · 2024Review
- Functional Near-Infrared Spectroscopy in neurodegenerative disease: a review.Frontiers in neuroscience · 2024Review
- Decreased prefrontal activation during verbal fluency task after repetitive transcranial magnetic stimulation treatment for depression in Alzheimer's disease: a functional near-infrared spectroscopy study.Frontiers in aging neuroscience · 2024Article
- Comparison of Cerebral Blood Volume during Cold and Warm Stimulation in Elderly and Young Subjects.Journal of biomedical physics & engineering · 2023Article
- Functional near-infrared spectroscopy in elderly patients with four types of dementia.World journal of psychiatry · 2023Article
- Hotspots and trends in fNIRS disease research: A bibliometric analysis.Frontiers in neuroscience · 2023Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFrontotemporal dementia is an increasingly studied disease, the underlying functional impairments on a neurobiological level of which have not been fully understood. Patients with the behavioral-subtype frontotemporal dementia (bvFTD) are particularly challenging for clinical measurements such as functional imaging due to their behavioral symptoms. Here, an alternative imaging method, functional near-infrared spectroscopy (fNIRS), is introduced to measure task-related cortical brain activation based on blood oxygenation. The current study investigated differences in cortical activation patterns of patients with bvFTD, Alzheimer's dementia (AD), and healthy elderly subjects measured by fNIRS.
methodEight probable bvFTD patients completed the semantic, phonological, and control conditions of a verbal fluency task. Eight AD patients and eight healthy controls were compared on the same task. Simultaneously, an fNIRS measurement was conducted and analyzed using a correction method based on the expected negative correlation between oxygenated and deoxygenated hemoglobin.
resultsHealthy controls show an increase in cortical activation measured in frontoparietal areas such as the dorsolateral prefrontal cortex. The activation pattern of patients with AD is similar, but weaker. In contrast, bvFTD patients show a more frontopolar pattern, with activation of Broca's area, instead of the dorsolateral prefrontal cortex and the superior temporal gyrus. The frontoparietal compensation mechanisms, seen in the healthy elderly, were missing in bvFTD patients.
conclusionDifferent frontoparietal cortical activation patterns may indicate a correlate of diverse pathophysiological mechanisms of AD and bvFTD during verbal fluency processing. The AD pattern is weaker and more similar to the healthy pattern, whereas the bvFTD pattern is qualitatively different, namely more frontopolar and without frontoparietal compensation activation. It adheres to a change of cortical activation during the course of the disease.
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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.