Diagnosis of Alzheimer's disease using Effective Connectivity of rs-fMRI

Khatri, Uttam; Lama, Ramesh Kumar; Kwon, Goo‐Rak

doi:10.1109/itc-cscc52171.2021.9501447

Cited by 2 publications

(1 citation statement)

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“…However, functional connectomics studies in general, and those concerning fMRI from AD in particular, have predominantly used associative measures of FC (Reid et al, 2019 ). There are a few studies that deal with comparing broad hypotheses of alteration within the CFC in AD (Rytsar et al, 2011 ; Khatri et al, 2021 ). However, this area is largely unexplored, partly due to the lack of methods that can infer CFC in a desirable manner, as explained next.…”

Section: Introductionmentioning

confidence: 99%

Causal functional connectivity in Alzheimer's disease computed from time series fMRI data

Biswas,

Sripada

2023

Front. Comput. Neurosci.

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Functional connectivity between brain regions is known to be altered in Alzheimer's disease and promises to be a biomarker for early diagnosis. Several approaches for functional connectivity obtain an un-directed network representing stochastic associations (correlations) between brain regions. However, association does not necessarily imply causation. In contrast, Causal Functional Connectivity (CFC) is more informative, providing a directed network representing causal relationships between brain regions. In this paper, we obtained the causal functional connectome for the whole brain from resting-state functional magnetic resonance imaging (rs-fMRI) recordings of subjects from three clinical groups: cognitively normal, mild cognitive impairment, and Alzheimer's disease. We applied the recently developed Time-aware PC (TPC) algorithm to infer the causal functional connectome for the whole brain. TPC supports model-free estimation of whole brain CFC based on directed graphical modeling in a time series setting. We compared the CFC outcome of TPC with that of other related approaches in the literature. Then, we used the CFC outcomes of TPC and performed an exploratory analysis of the difference in strengths of CFC edges between Alzheimer's and cognitively normal groups, based on edge-wise p-values obtained by Welch's t-test. The brain regions thus identified are found to be in agreement with literature on brain regions impacted by Alzheimer's disease, published by researchers from clinical/medical institutions.

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Section: Introductionmentioning

confidence: 99%