Dynamic reconfiguration and transition of whole-brain networks in patients with MELAS revealed by a hidden Markov model.

ABSTRACT:

Objectives

Mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes (MELAS) is a rare maternally inherited disease. The neuropathologic mechanisms and neural network alterations underlying stroke-like episodes (SLEs), a recurrent paroxysmal clinical event, remain unclear. The hidden Markov model (HMM) can detect profound alterations in neural activities across the whole-brain network.

Materials and methods

We initially collected data from a prospective cohort from 2019 to 2024. The confirmed diagnosis of MELAS was conducted through genetic testing or a muscle biopsy. Healthy control volunteers were recruited from the local community. By utilizing the HMM, we evaluated the temporal characteristics and transitions of HMM states and the specific community p

SUBMITTER: Yu Q 

PROVIDER: S-EPMC12497577 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature