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While patient/clinician relationships significantly impact pain outcomes, the behavioral
and neural mechanisms supporting this phenomenon are unknown. Specifically, the precise
role of facial expressions in contributing to analgesia and brain-to-brain communication
has not been investigated. In this Hyperscan fMRI study, we explored how pain-related,
directional facial communication between patient and clinician engaging in interactive
pain treatment is associated with brain concordance. Dyads comprising 20 patients
with fibromyalgia and 19 acupuncturists completed two synchronous fMRI scans (two
different partners per participant). During fMRI, dyad members saw each other's face
through closed-circuit video while interacting. The fMRI scan included a series of
moderately painful and minimally/non-painful leg cuff pressure stimuli to the patient
while the clinician observed. A separate fMRI scan included clinician-applied and
remotely-activated electroacupuncture treatment to the patient while they received
moderate cuff pressure pain. In-scanner videos were used for automated individual
facial muscle unit (FMU) timeseries extraction. FMU data from pain/observation scans
was fed into an interpretable machine learning classifier to determine which FMU's
dynamics was most associated with pain. FMUs from the pain/treatment scans were used
in conjunction with neural-network causality estimation to investigate directional
non-verbal communication and their association with brain-to-brain dynamic fMRI concordance
(as reported in Ellingsen et al., 2020). Causality analysis indicated a strong asymmetry
in which the patients’ facial expressions elicited a range of facial expressions in
clinicians, but not vice-versa. Patient lip movement FMUs were most associated with
pain. Interestingly, patient-to-clinician causal influence of these FMUs on similar
clinicians’ FMUs was associated with dynamic insula cortex brain-to-brain concordance,
demonstrating the key role of this social mirroring and salience processing brain
region with respect to facial expression mirroring between patients and clinicians.
Supported by the National Institutes of Health, National Center for Complementary
and Integrative Health (R61-AT009306), Norwegian Research Council /Marie Sklodowska-Curie
Actions (FRICON/COFUND-240553/F20), Neuroimaging Pilot Funding Initiative at the Martinos
Center for Biomedical imaging, MGH (R90DA023427), Korea Institute of Oriental Medicine
(KIOM), Foundation for the Science of the Therapeutic Encounter, National Center for
Research Resources (P41RR14075; CRC 1 UL1 RR025758), Harvard Clinical and Translational
Science Center, Martinos Computing facilities, and National Institutes of Health (Grant
Nos. S10RR023401, S10RR019307, S10RR019254, and S10RR023043).
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© 2021 Published by Elsevier Inc.