The Contribution of Functional Near-Infrared Spectroscopy (fNIRS) to the Study of Neurodegenerative Disorders: A Narrative Review.

Alzheimer’s disease Parkinson’s disease amyotrophic lateral sclerosis frontotemporal lobar degeneration mild cognitive impairment

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
21 Mar 2024
Historique:
received: 27 02 2024
revised: 14 03 2024
accepted: 18 03 2024
medline: 27 3 2024
pubmed: 27 3 2024
entrez: 27 3 2024
Statut: epublish

Résumé

Functional near-infrared spectroscopy (fNIRS) is an innovative neuroimaging method that offers several advantages over other commonly used modalities. This narrative review investigated the potential contribution of this method to the study of neurodegenerative disorders. Thirty-four studies involving patients with Alzheimer's disease (AD), mild cognitive impairment (MCI), frontotemporal dementia (FTD), Parkinson's disease (PD), or amyotrophic lateral sclerosis (ALS) and healthy controls were reviewed. Overall, it was revealed that the prefrontal cortex of individuals with MCI may engage compensatory mechanisms to support declining brain functions. A rightward shift was suggested to compensate for the loss of the left prefrontal capacity in the course of cognitive decline. In parallel, some studies reported the failure of compensatory mechanisms in MCI and early AD; this lack of appropriate hemodynamic responses may serve as an early biomarker of neurodegeneration. One article assessing FTD demonstrated a heterogeneous cortical activation pattern compared to AD, indicating that fNIRS may contribute to the challenging distinction of these conditions. Regarding PD, there was evidence that cognitive resources (especially executive function) were recruited to compensate for locomotor impairments. As for ALS, fNIRS data support the involvement of extra-motor networks in ALS, even in the absence of measurable cognitive impairment.

Identifiants

pubmed: 38535081
pii: diagnostics14060663
doi: 10.3390/diagnostics14060663
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Auteurs

Ioannis Liampas (I)

Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece.

Freideriki Danga (F)

Department of Speech and Language Therapy, School of Health Sciences, University of Ioannina, 45500 Ioannina, Greece.

Panagiota Kyriakoulopoulou (P)

School of Medicine, University of Patras, 26504 Rio Patras, Greece.

Vasileios Siokas (V)

Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece.

Polyxeni Stamati (P)

Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece.

Lambros Messinis (L)

Laboratory of Neuropsychology and Behavioral Neuroscience, School of Psychology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

Efthimios Dardiotis (E)

Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece.

Grigorios Nasios (G)

Department of Speech and Language Therapy, School of Health Sciences, University of Ioannina, 45500 Ioannina, Greece.

Classifications MeSH