Article

Change point based dynamic functional connectivity estimation outperforms sliding window and static estimation for classification of early mild cognitive impairment in resting-state fMRI

2025-05-21

Abstract excerpt

The most widely used inputs in classification models of brain disorders such as early mild cognitive impairment (eMCI) or Alzheimer’s disease are estimates of static-based functional connectivity (SFC) and sliding window dynamic functional connectivity (swDFC). Although these methods are convenient for estimation and computational purposes, as it keeps the estimation tractable, they present a simplified version of...

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Literature Corpus work: 57520669-1fd1-5928-91d7-edf0bfe4c06c
DOI: 10.1101/2025.05.16.654552

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