Evidence map›Paper›PMID 36993429›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Psychophysical pain encoding in the cingulate cortex predicts responsiveness of electrical stimulation.

Rose M Caston, Elliot H Smith, Tyler S Davis, Hargunbir Singh, Shervin Rahimpour, John D Rolston

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Rose M CastonUniversity of Utah Department of Biomedical Engineering.ORCID 0000-0001-5375-869X
Elliot H SmithUniversity of Utah Department of Neurosurgery.ORCID 0000-0003-4323-4643
Tyler S DavisUniversity of Utah Department of Neurosurgery.ORCID 0000-0001-8823-6189
Hargunbir SinghDepartment of Neurosurgery, Brigham & Women's Hospital, Harvard Medical School.
Shervin RahimpourUniversity of Utah Department of Biomedical Engineering.ORCID 0000-0003-2718-181X
John D RolstonUniversity of Utah Department of Biomedical Engineering.ORCID 0000-0002-8843-5468
University of Utah · USBrigham and Women's Hospital · US

Funding

Training in the Development of Novel Interventions for the Treatment of Neurological and Neurobehavioral DisordersT32NS115723 · NINDS · UNIVERSITY OF UTAH · PI KEEFE, KRISTEN A · 2020 to 2024
$1.1M
Patient-Specific Modeling and Network Perturbation to Enhance the Predictability of Direct Cortical Stimulation for EpilepsyK23NS114178 · NINDS · UNIVERSITY OF UTAH · PI ROLSTON, JOHN D · 2019 to 2023
$961k
NINDS NIH HHS K23 NS114178NINDS NIH HHS T32 NS115723
6 · The paper itself

Abstract

Background: The anterior cingulate cortex (ACC) plays an important role in the cognitive and emotional processing of pain. Prior studies have used deep brain stimulation (DBS) to treat chronic pain, but results have been inconsistent. This may be due to network adaptation over time and variable causes of chronic pain. Identifying patient-specific pain network features may be necessary to determine patient candidacy for DBS. Hypothesis: Cingulate stimulation would increase patients' hot pain thresholds if non-stimulation 70-150 Hz activity encoded psychophysical pain responses. Methods: In this study, four patients who underwent intracranial monitoring for epilepsy monitoring participated in a pain task. They placed their hand on a device capable of eliciting thermal pain for five seconds and rated their pain. We used these results to determine the individual's thermal pain threshold with and without electrical stimulation. Two different types of generalized linear mixed-effects models (GLME) were employed to assess the neural representations underlying binary and graded pain psychophysics. Results: The pain threshold for each patient was determined from the psychometric probability density function. Two patients had a higher pain threshold with stimulation than without, while the other two patients had no difference. We also evaluated the relationship between neural activity and pain responses. We found that patients who responded to stimulation had specific time windows where high-frequency activity was associated with increased pain ratings. Conclusion: Stimulation of cingulate regions with increased pain-related neural activity was more effective at modulating pain perception than stimulating non-responsive areas. Personalized evaluation of neural activity biomarkers could help identify the best target for stimulation and predict its effectiveness in future studies evaluating DBS.

Indexed as

Chronic paindeep brain stimulationintracranial recordingneuromodulationpredictive biomarkerstereo-EEG

Identifiers

PMID36993429
PMCPMC10055607
OpenAlexW4327861051

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.