PMID- 35211000
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220226
IS  - 1662-5161 (Print)
IS  - 1662-5161 (Electronic)
IS  - 1662-5161 (Linking)
VI  - 16
DP  - 2022
TI  - Reconfiguration of Brain Network Dynamics in Autism Spectrum Disorder Based on 
      Hidden Markov Model.
PG  - 774921
LID - 10.3389/fnhum.2022.774921 [doi]
LID - 774921
AB  - Autism spectrum disorder (ASD) is a group of complex neurodevelopment disorders 
      characterized by altered brain connectivity. However, the majority of 
      neuroimaging studies for ASD focus on the static pattern of brain function and 
      largely neglect brain activity dynamics, which might provide deeper insight into 
      the underlying mechanism of brain functions for ASD. Therefore, we proposed a 
      framework with Hidden Markov Model (HMM) analysis for resting-state functional 
      MRI (fMRI) from a large multicenter dataset of 507 male subjects. Specifically, 
      the 507 subjects included 209 subjects with ASD and 298 well-matched health 
      controls across 14 sites from the Autism Brain Imaging Data Exchange (ABIDE). 
      Based on the HMM, we can identify the recurring brain function networks over time 
      across ASD and healthy controls (HCs). Then we assessed the dynamical 
      configuration of the whole-brain networks and further analyzed the community 
      structure of transitions across the brain states. Based on the 19 HMM states, we 
      found that the global temporal statistics of the specific HMM states (including 
      fractional occupancies and lifetimes) were significantly altered in ASD compared 
      to HCs. These specific HMM states were characterized by the activation pattern of 
      default mode network (DMN), sensory processing networks [including visual 
      network, auditory network, and sensory and motor network (SMN)]. Meanwhile, we 
      also find that the specific modules of transitions between states were closely 
      related to ASD. Our findings indicate the temporal reconfiguration of the brain 
      network in ASD and provide novel insights into the dynamics of the whole-brain 
      networks for ASD.
CI  - Copyright (c) 2022 Lin, Zang, Bai and Wang.
FAU - Lin, Pingting
AU  - Lin P
AD  - School of Biological Science and Medical Engineering, Southeast University, 
      Nanjing, China.
AD  - Key Laboratory of Child Development and Learning Science (Southeast University), 
      Ministry of Education, Nanjing, China.
AD  - Research Center for Learning Science, Southeast University, Nanjing, China.
FAU - Zang, Shiyi
AU  - Zang S
AD  - School of Biological Science and Medical Engineering, Southeast University, 
      Nanjing, China.
AD  - Key Laboratory of Child Development and Learning Science (Southeast University), 
      Ministry of Education, Nanjing, China.
AD  - Research Center for Learning Science, Southeast University, Nanjing, China.
FAU - Bai, Yi
AU  - Bai Y
AD  - School of Biological Science and Medical Engineering, Southeast University, 
      Nanjing, China.
AD  - Key Laboratory of Child Development and Learning Science (Southeast University), 
      Ministry of Education, Nanjing, China.
AD  - Research Center for Learning Science, Southeast University, Nanjing, China.
FAU - Wang, Haixian
AU  - Wang H
AD  - School of Biological Science and Medical Engineering, Southeast University, 
      Nanjing, China.
AD  - Key Laboratory of Child Development and Learning Science (Southeast University), 
      Ministry of Education, Nanjing, China.
AD  - Research Center for Learning Science, Southeast University, Nanjing, China.
LA  - eng
PT  - Journal Article
DEP - 20220208
PL  - Switzerland
TA  - Front Hum Neurosci
JT  - Frontiers in human neuroscience
JID - 101477954
PMC - PMC8861306
OTO - NOTNLM
OT  - Hidden Markov Models
OT  - autism spectrum disorder
OT  - global temporal dynamics
OT  - large-scale whole-brain network
OT  - modularity analysis
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2022/02/26 06:00
MHDA- 2022/02/26 06:01
PMCR- 2022/01/01
CRDT- 2022/02/25 05:37
PHST- 2021/09/13 00:00 [received]
PHST- 2022/01/06 00:00 [accepted]
PHST- 2022/02/25 05:37 [entrez]
PHST- 2022/02/26 06:00 [pubmed]
PHST- 2022/02/26 06:01 [medline]
PHST- 2022/01/01 00:00 [pmc-release]
AID - 10.3389/fnhum.2022.774921 [doi]
PST - epublish
SO  - Front Hum Neurosci. 2022 Feb 8;16:774921. doi: 10.3389/fnhum.2022.774921. 
      eCollection 2022.