AI Article Synopsis

  • This study compares the effectiveness of functional near-infrared spectroscopy (fNIRS) with PET and MRI in detecting brain activity in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD).
  • Participants were categorized into four groups based on their cognitive status and underwent a semantic verbal fluency task, revealing distinct hemodynamic responses in the dorsolateral prefrontal cortex (DLPFC).
  • Findings suggest that fNIRS could serve as a useful screening tool for assessing brain function and metabolic changes in MCI and AD patients by correlating with other neuroimaging methods.

Article Abstract

This study was performed to investigate the usefulness of functional near-infrared spectroscopy (fNIRS) by conducting a comparative analysis of hemodynamic activation detected by fNIRS and positron emission tomography (PET) and magnetic resonance imaging (MRI) in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Participants were divided into four groups: the subjective memory impairment (SMI), amnestic MCI (aMCI), non-amnestic MCI (naMCI), and AD groups. We recorded the hemodynamic response during the semantic verbal fluency task (SVFT) using a commercial wireless continuous-wave NIRS system. The correlation between the parameters of the neuroimaging assessments among the groups was analyzed. Region of interest-based comparisons showed that the four groups had significantly different hemodynamic responses during SVFT in the bilateral dorsolateral prefrontal cortex (DLPFC). The linear mixed effect model result indicates that the mean ΔHbO2 from the bilateral DLPFC regions showed a significant positive correlation to the overall FDG-PET after controlling for age and group differences in the fNIRS signals. Amyloid PET signals tended to better differentiate the AD group from other groups, and fNIRS signals tended to better differentiate the SMI group from other groups. In addition, a comparison between the group pairs revealed a mirrored pattern between the hippocampal volume and hemodynamic response in the DLPFC. The hemodynamic response detected by fNIRS showed a significant correlation with metabolic and anatomical changes associated with disease progression. Therefore, fNIRS may be considered as a screening tool to predict the hemodynamic and metabolic statuses of the brain in patients with MCI and AD.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414577PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0285013PLOS

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