Evidence map›Paper›PMID 33018278›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2020

Patient-Clinician Brain Response During Clinical Encounter and Pain Treatment.

A Anzolin, K Isenburg, A Grahl, J Toppi, M Yucel, D M Ellingsen, J Gerber, A Ciaramidaro, L Astolfi, T J Kaptchuk and 1 more

Open access · greenAbstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Review
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  5. Review
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  7. Article
  8. An Approach to Neuroimaging Interpersonal Interactions in Mental Health Interventions.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022
    Article
  9. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 2 countries.

A Anzolin
K Isenburg
A Grahl
J Toppi
M Yucel
D M Ellingsen
J Gerber
A Ciaramidaro
L Astolfi
T J Kaptchuk
V Napadow
Engineering (Italy) · ITHarvard University · USMassachusetts General Hospital · USAthinoula A. Martinos Center for Biomedical Imaging · USBeth Israel Deaconess Medical Center · USBoston University · USBrigham and Women's Hospital · USUniversity of Modena and Reggio Emilia · IT

Funding

Optimization of brain-based mechanisms supporting psychosocial aspects of acupuncture therapy - a hyperscanning fMRI studyR33AT009306 · NCCIH · MASSACHUSETTS GENERAL HOSPITAL · PI KAPTCHUK, TED, NAPADOW, VITALY · 2018 to 2021
$2.3M
NCCIH NIH HHS R33 AT009306
6 · The paper itself

Abstract

The patient-clinician relationship is known to significantly affect the pain experience, as empathy, mutual trust and therapeutic alliance can significantly modulate pain perception and influence clinical therapy outcomes. The aim of the present study was to use an EEG hyperscanning setup to identify brain and behavioral mechanisms supporting the patient-clinician relationship while this clinical dyad is engaged in a therapeutic interaction. Our previous study applied fMRI hyperscanning to investigate whether brain concordance is linked with analgesia experienced by a patient while undergoing treatment by the clinician. In this current hyperscanning project we investigated similar outcomes for the patient-clinician dyad exploiting the high temporal resolution of EEG and the possibility to acquire the signals while patients and clinicians were present in the same room and engaged in a face-to-face interaction under an experimentally-controlled therapeutic context. Advanced source localization methods allowed for integration of spatial and spectral information in order to assess brain correlates of therapeutic alliance and pain perception in different clinical interaction contexts. Preliminary results showed that both behavioral and brain responses across the patient-clinician dyad were significantly affected by the interaction style.Clinical Relevance- The context of a clinical intervention can significantly impact the treatment of chronic pain. Effective therapeutic alliance, based on empathy, mutual trust, and warmth can improve treatment adherence and clinical outcomes. A deeper scientific understanding of the brain and behavioral mechanisms underlying an optimal patient-clinician interaction may lead to improved quality of clinical care and physician training, as well as better understanding of the social aspects of the biopsychosocial model mediating analgesia in chronic pain patients.

Indexed as

BrainChronic PainPain ManagementProfessional-Patient RelationsHumansMagnetic Resonance ImagingPain Perception

Identifiers

PMID33018278
PMCPMC8096120
OpenAlexW3082371763

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.