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A substantial body of evidence exists demonstrating central pain mechanisms involved
in the experience of menstrual pain. Yet, the neurobiological underpinnings are not
yet known and have not yet been studied in adolescents. Further, no study has investigated
the relationship of menstrual pain to non-physical pain (i.e., noxious visual stimuli)
and examined brain connectivity in networks commonly associated with pain. Forty-six
adolescent girls (ages 14 to 18) completed a 6-min resting state MRI scan and then
completed a visual sensitivity task involving viewing a blue and yellow checkerboard
stimulus. Visual unpleasantness ratings and self-reported average menstrual pain ratings
were collected. Thirty-five resting-state networks was estimated using a multivariate
data-driven method for group Independent Component Analysis (GICA). Cingulo-opercular
(CN), prefrontal salience (pfSN) and default mode (DMN) networks were selected as
a priori, as they are often associated with pain. Using dual regression approach,
we extracted subject-specific network maps corresponding to each a priori network.
Statistical models were analyzed using Randomise in FSL to investigate the association
of menstrual pain and visual sensitivity scores with the connectivity of these networks.
Menstrual pain was negatively associated with connectivity of wide-spread prefrontal
areas within the DMN, thalamus, insula, and striatum. In contrast, visual sensitivity
was positively associated with connectivity of the medial temporal subnetwork of the
DMN. These data suggest that different pain experiences may result from unique neural
mechanisms. For visual sensitivity, increased connectivity of medial temporal lobe
DMN regions with anterior DMN may be a mechanism in which affective experience of
noxious stimuli is linked with self-reported pain. For menstrual pain, dysregulated
connectivity within the DMN and between the DMN and pain-related regions might lead
to impaired regulation of other pain constructs and put some individuals at risk for
chronic pain. Grant support from NIH/NICHD R01 HD093680.
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© 2022 Published by Elsevier Inc.