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@ARTICLE{Sturm:851529,
author = {Sturm, Virginia E. and Brown, Jesse A. and Hua, Alice Y.
and Lwi, Sandy J. and Zhou, Juan and Kurth, Florian and
Eickhoff, Simon and Rosen, Howard J. and Kramer, Joel H. and
Miller, Bruce L. and Levenson, Robert W. and Seeley, William
W.},
title = {{N}etwork architecture underlying basal autonomic outflow:
{E}vidence from frontotemporal dementia},
journal = {The journal of neuroscience},
volume = {38},
number = {42},
issn = {0270-6474},
address = {Washington, DC},
publisher = {Soc.},
reportid = {FZJ-2018-05155},
pages = {8943-8955},
year = {2018},
note = {This project was supported by grants from the NIH National
Institute on Aging (P50AG023501, P01AG019724, R01AG052496,
R01AG032306, R01AG057204, 1K23AG040127, and 1K23AG045289),
The Larry L. Hillblom Foundation (2013-A-029-SUP and
2005/2T), the John Douglas French Foundation; the Consortium
for Frontotemporal Dementia Research, and the Tau
Consortium. We are grateful for the patients, healthy
controls, and families that have participated in our
research studies.},
abstract = {The salience network is a distributed neural system that
maintains homeostasis by regulating autonomic nervous system
activity and social-emotional function. Here we examined how
within-network connectivity relates to individual
differences in human (including males and females) baseline
parasympathetic and sympathetic nervous activity. We
measured resting autonomic nervous system physiology in 24
healthy controls and 23 patients with behavioral variant
frontotemporal dementia (bvFTD), a neurodegenerative disease
characterized by baseline autonomic deficits. Participants
also underwent structural and task-free functional magnetic
resonance imaging. First, we used voxel-based morphometry to
determine whether salience network atrophy was associated
with lower baseline respiratory sinus arrhythmia (RSA; a
parasympathetic measure) and skin conductance level (SCL; a
sympathetic measure) in bvFTD. Next, we examined whether
functional connectivity deficits in 21 autonomic-relevant,
salience network node-pairs related to baseline autonomic
dysfunction. Lower baseline RSA was associated with smaller
volume in left ventral anterior insula (vAI), weaker
connectivity between bilateral vAI and bilateral anterior
cingulate cortex (ACC), and stronger connectivity between
bilateral ACC and bilateral hypothalamus/amygdala. Lower
baseline SCL, in contrast, was associated with smaller
volume in inferior temporal gyrus, dorsal mid-insula, and
hypothalamus; weaker connectivity between bilateral ACC and
right hypothalamus/amygdala; and stronger connectivity
between bilateral dorsal anterior insula and periaqueductal
gray. Our results suggest that baseline parasympathetic and
sympathetic tone depend on the integrity of lateralized
salience network hubs (left vAI for parasympathetic and
right hypothalamus/amygdala for sympathetic) and highly
calibrated ipsilateral and contralateral network
connections. In bvFTD, deficits in this system may underlie
resting parasympathetic and sympathetic
disruption.SIGNIFICANCE STATEMENTThe salience network
maintains homeostasis and regulates autonomic nervous system
activity. Whether within-network connectivity patterns
underlie individual differences in resting parasympathetic
and sympathetic nervous system activity, however, is not
well understood. We measured baseline autonomic nervous
system activity in healthy controls and patients with
behavioral variant frontotemporal dementia, a
neurodegenerative disease characterized by resting autonomic
deficits, and probed how salience network dysfunction
relates to diminished parasympathetic and sympathetic
outflow. Our results indicate that baseline parasympathetic
and sympathetic tone are the product of complex, opposing
intra-network nodal interactions and depend on the integrity
of highly tuned, lateralized salience network hubs (i.e.,
left ventral anterior insula for parasympathetic activity
and right hypothalamus/amygdala for sympathetic activity).},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {574 - Theory, modelling and simulation (POF3-574)},
pid = {G:(DE-HGF)POF3-574},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:30181137},
UT = {WOS:000447587500003},
doi = {10.1523/JNEUROSCI.0347-18.2018},
url = {https://juser.fz-juelich.de/record/851529},
}