PMID- 32986092
OWN - NLM
STAT- MEDLINE
DCOM- 20211020
LR  - 20211020
IS  - 1749-5024 (Electronic)
IS  - 1749-5016 (Print)
IS  - 1749-5016 (Linking)
VI  - 16
IP  - 8
DP  - 2021 Aug 5
TI  - Large-scale functional coactivation patterns reflect the structural connectivity 
      of the medial prefrontal cortex.
PG  - 875-882
LID - 10.1093/scan/nsaa132 [doi]
AB  - The medial prefrontal cortex (MPFC) is among the most consistently implicated 
      brain regions in social and affective neuroscience. Yet, this region is also 
      highly functionally heterogeneous across many domains and has diverse patterns of 
      connectivity. The extent to which the communication of functional networks in 
      this area is facilitated by its underlying structural connectivity fingerprint is 
      critical for understanding how psychological phenomena are represented within 
      this region. In the current study, we combined diffusion magnetic resonance 
      imaging and probabilistic tractography with large-scale meta-analysis to 
      investigate the degree to which the functional coactivation patterns of the MPFC 
      are reflected in its underlying structural connectivity. Using unsupervised 
      machine learning techniques, we compared parcellations between the two modalities 
      and found congruence between parcellations at multiple spatial scales. 
      Additionally, using connectivity and coactivation similarity analyses, we found 
      high correspondence in voxel-to-voxel similarity between each modality across 
      most, but not all, subregions of the MPFC. These results provide evidence that 
      meta-analytic functional coactivation patterns are meaningfully constrained by 
      underlying neuroanatomical connectivity and provide convergent evidence of 
      distinct subregions within the MPFC involved in affective processing and social 
      cognition.
CI  - (c) The Author(s) 2020. Published by Oxford University Press.
FAU - Tovar, Dale T
AU  - Tovar DT
AD  - Department of Psychology, University of Oregon, Eugene, OR, USA.
FAU - Chavez, Robert S
AU  - Chavez RS
AD  - Department of Psychology, University of Oregon, Eugene, OR, USA.
LA  - eng
PT  - Journal Article
PT  - Meta-Analysis
PL  - England
TA  - Soc Cogn Affect Neurosci
JT  - Social cognitive and affective neuroscience
JID - 101288795
SB  - IM
MH  - Brain
MH  - *Brain Mapping
MH  - Humans
MH  - *Magnetic Resonance Imaging
MH  - Neural Pathways/diagnostic imaging
MH  - Prefrontal Cortex/diagnostic imaging
PMC - PMC8343558
OTO - NOTNLM
OT  - dMRI
OT  - fMRI
OT  - meta-analysis
OT  - unsupervised learning
EDAT- 2020/09/29 06:00
MHDA- 2021/10/21 06:00
PMCR- 2020/09/28
CRDT- 2020/09/28 12:57
PHST- 2019/10/29 00:00 [received]
PHST- 2020/07/01 00:00 [revised]
PHST- 2020/09/18 00:00 [accepted]
PHST- 2020/09/29 06:00 [pubmed]
PHST- 2021/10/21 06:00 [medline]
PHST- 2020/09/28 12:57 [entrez]
PHST- 2020/09/28 00:00 [pmc-release]
AID - 5912489 [pii]
AID - nsaa132 [pii]
AID - 10.1093/scan/nsaa132 [doi]
PST - ppublish
SO  - Soc Cogn Affect Neurosci. 2021 Aug 5;16(8):875-882. doi: 10.1093/scan/nsaa132.