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Musculoskeletal pain is an aversive experience that exists within a variety of conditions
and can result in significant impairment for individuals. Gaining greater understanding
of the factors related to pain vulnerability and resilience to musculoskeletal pain
may help target at-risk individuals for early intervention. This analysis builds on
our previous work identifying regions where lower gray matter density (GMD) was associated
with individuals who report pain following standardized, exercise induced musculoskeletal
injury. Here we sought to examine the relationship between baseline resting state
functional connectivity (rsFC) in a priori regions and networks, and delayed onset
muscle soreness (DOMS) pain intensity following a single session of eccentric exercise.
The present study is a secondary analysis from a portion of a larger, blinded, randomized
experimental trial. All participants were healthy adults between the ages of 18 and
40 years recruited from the university and surrounding community. The primary outcome
measure was functional connectivity assessed by using T2 rest image. Participants
completed a baseline functional MRI scan and a high intensity trunk exercise protocol
to induce DOMS in the erector spinae. Pain intensity ratings were collected 48-hours
later. rsFC from four seed regions and three networks were separately regressed on
pain intensity scores. Our results revealed that connectivity between left middle
frontal gyrus, the left occipital gyrus and cerebellar network seeds and clusters
associated with discriminative, emotional, and cognitive aspects of pain were associated
with lower post-DOMS pain. Our results provide key support for the role of structural
and functional coherence in regional and network connectivity in adaptive pain response
and represent an important step in clarifying neural mechanisms of resilience to clinically
relevant pain. Resilience to clinically relevant pain is associated with aspects of
regional and network neural coherence. Investigations of pain modulatory capacity
that integrate multimodal neuroimaging metrics are called for. R01AT006334, PI Dr.
Mark Bishop.
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© 2021 Published by Elsevier Inc.