Brain state transition analysis using ultra-fast fMRI differentiates MCI from cognitively normal controls.

ABSTRACT:

Purpose

Conventional resting-state fMRI studies indicate that many cortical and subcortical regions have altered function in Alzheimer's disease (AD) but the nature of this alteration has remained unclear. Ultrafast fMRIs with sub-second acquisition times have the potential to improve signal contrast and enable advanced analyses to understand temporal interactions between brain regions as opposed to spatial interactions. In this work, we leverage such fast fMRI acquisitions from Alzheimer's disease Neuroimaging Initiative to understand temporal differences in the interactions between resting-state networks in 55 older adults with mild cognitive impairment (MCI) and 50 cognitively normal healthy controls.

Methods

We used a sliding window approach followed by k-means clusterin

SUBMITTER: Palmer WC 

PROVIDER: S-EPMC9555083 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature