10.7272/Q64F1P0F
Rijpma, Myrthe
0000-0001-7276-9175
University of California, San Francisco
Yang, Winson
Texas Tech University
Toller, Gianina
University of California, San Francisco
Battistella, Giovanni
University of California, San Francisco
Sokolov, Arseny
University Hospital of Lausanne
Sturm, Virginia
University of California, San Francisco
Seeley, William
University of California, San Francisco
Kramer, Joel
University of California, San Francisco
Miller, Bruce
University of California, San Francisco
Rankin, Katherine
University of California, San Francisco
Data from: Influence of periaqueductal gray on other salience network
nodes predicts social sensitivity
Dryad
dataset
2021
Clinical Neuroimaging
National Institute on Aging
https://ror.org/049v75w11
R01AG029577
National Cancer Institute
https://ror.org/040gcmg81
K23- AG021606
National Institute on Aging
https://ror.org/049v75w11
P01AG019724
National Institute on Aging
https://ror.org/049v75w11
P50AG023501
Larry L. Hillblom Foundation
https://ror.org/00br6vq85
2002/2j
Larry L. Hillblom Foundation
https://ror.org/00br6vq85
2014-A-004-NET
University of California San Francisco, Memory and Aging Center*
2021-12-14T00:00:00Z
2021-12-14T00:00:00Z
en
HBM25751
713623730 bytes
4
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The intrinsic connectivity of the salience network (SN) plays an important
role in social behavior, however the directional influence that individual
nodes have on each other has not yet been fully determined. In this study,
we used spectral Dynamic Causal Modeling to characterize the effective
connectivity patterns in the SN for 44 healthy older adults and for 44
patients with behavioral variant frontotemporal dementia (bvFTD) who have
focal SN dysfunction. We examined the relationship of SN effective
connections with individuals’ socioemotional sensitivity, using the
Revised Self-Monitoring Scale, an informant-facing questionnaire that
assesses sensitivity to expressive behavior. Overall, average SN effective
connectivity for bvFTD patients differs from healthy older adults in
cortical, hypothalamic, and thalamic nodes. For the majority of healthy
individuals, strong periaqueductal gray (PAG) output to right cortical
(p<.01) and thalamic nodes (p<.05), but not PAG output to
other central pattern generators contributed to sensitivity to
socioemotional cues. This effect did not exist for the majority of bvFTD
patients; PAG output towards other SN nodes was weak, and this lack of
output negatively influenced socioemotional sensitivity. Instead, input to
the left vAI from other SN nodes supported patients’ sensitivity to
others’ socioemotional behavior (p<.05), though less effectively.
The key role of PAG output to cortical and thalamic nodes for
socioemotional sensitivity suggests that its core functions, i.e.,
generating autonomic changes in the body, and moreover representing the
internal state of the body, is necessary for optimal social
responsiveness, and its breakdown is central to bvFTD patients’ social
behavior deficits.
This data includes individuals' first level DCM results ordered by
patient group. Please refer to the article for materials and methods
description.
All code used for analyses after preprocessing is available at
https://github.com/MyrtheGwenRijpma/DCM.