fNIRS as a biomarker for individuals with subjective memory complaints and MCI

Alzheimer s & Dementia, Journal Year: 2024, Volume and Issue: 20(8), P. 5170 - 5182

Published: June 5, 2024

Abstract INTRODUCTION Identifying individuals at risk of developing dementia is crucial for early intervention. Mild cognitive impairment (MCI) and subjective memory complaints (SMCs) are considered its preceding stages. This study aimed to assess the utility functional near‐infrared spectroscopy (fNIRS) in identifying with MCI SMC. METHODS One hundred fifty‐one participants were categorized into normal cognition (NC); amnestic (aMCI); non‐amnestic (naMCI); mild, moderate, severe SMC groups. Task‐related prefrontal hemodynamics measured using fNIRS during a visual span task. RESULTS Results showed significantly lower oxyhemoglobin (HbO) levels aMCI, but not naMCI, compared NC. In addition, had HbO than NC, moderate Receiver operating characteristic analysis demonstrated 69.23% 69.70% accuracy differentiating aMCI from respectively. DISCUSSION FNIRS may serve as potential non‐invasive biomarker detection dementia. Highlights Only mild (aMCI), MCI, individuals. Reduced was observed those (NC), SMCs. Functional measures associated performance assessments. Prefrontal could distinguish

Language: Английский

Insights into Psychosis Risk: Unveiling Impaired Reinforcement Learning through a Behavioral and Functional Near-Infrared Spectroscopy-based Optical Neuroimaging Study

Journal of Psychiatric Research, Journal Year: 2025, Volume and Issue: 184, P. 187 - 197

Published: Feb. 1, 2025

Language: Английский

Ecological fNIRS in mobile children: Using short separation channels to correct for systemic contamination during naturalistic neuroimaging.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 3, 2024

Abstract Significance The advances and the miniaturization in functional Near Infrared Spectroscopy (fNIRS) instrumentation offers potential to move classical laboratory-based cognitive neuroscience investigations into more naturalistic settings. Wearable mobile fNIRS devices also provide a novel child-friendly means image brain activity freely moving toddlers preschoolers. Measuring ecologically valid settings with presents additional challenges, such as increased impact of physiological interferences. One most popular methods minimize interferences is regress out short separation channels from long (i.e., superficial signal regression or SSR). Whilst this has been extensively investigated adults, little known about systemic changes on signals recorded children either experiments. Aim We aim investigate if extracerebral occur preschoolers, whether SSR can help these Approach collected data 3-to-7 years olds during conventional computerized static task dynamic an immersive virtual reality (VR) continuous automatic environment (CAVE). Results Our results show that contamination present both young adults. Importantly, we find helps improving localization activity, and, larger extent, VR task. Conclusions Following results, formulate suggestions advance field developmental neuroimaging fNIRS, particularly ecological

Language: Английский