Longitudinal fMRI dataset with electrical pain stimulation and evocation of the RIII reflex before and after a RIII reflex biofeedback training.

Virginia Flanagin 83e78f9f12 Upload nifti 1482, 1485 7 months ago
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README.md

BrainPainLongit

Longitudinal fMRI dataset with electrical pain stimulation and evocation of the RIII reflex before and after a RIII reflex biofeedback training.

Overview

  • Data acqusition ran from the years 2020-2021

  • Brief experiment overview The aim of the study was to determine which brain areas are preferentially activated when healthy participants learned to activate their descending pain inhibition via a cognitive strategy. We compared participants brain activity with fMRI before and after learning a cognitive strategy via RIII-biofeedback-training. This experiment was a longitudinal MRI study with two MRI scans: MRI1: pre-intervention and MRI2: post-intervention. Intervention was a previously published feedback training (see doi:10:1002/ejp.570) to teach participants a cognitive strategy to reduce their spinal nociception.

MRI1 -> feedback training -> MRI2

  • Contents of the dataset

  • Dependent Variables

1)BOLD signal 2)Pain ratings and RIII-reflex size during fMRI 3)Pain- and RIII-reduction achieved under application of cognitive strategy during feedback training

Methods

Subjects

Subjects were healthy and recruited via advertisements at the University Hospital Munich and the LMU Munich.

  • Inclusion criteria: 1) >= 18 years of age 2) no severe internal, neurological or psychiatric conditions 3) no history of chronic pain 4) no alcohol, nicotine or drug abuse 5) no regular medication (except hormonal contraception or thyroid hormones) 6) no pregnancy or breastfeeding at time of participation 7) no contrainidication for MRI scans

Task organization

Before task-based fMRI, T1 and resting state fMRI were acquired. DWI measures were acquired after the task-based fMRI measurement.

  • Task-based fMRI Task condition was organized in 8 randomized blocks (4 control, 4 strategy) of 5 trials each. Task instructions and experimental run-down was identical in MRI1 and MRI2, save for the instruction given for the "strategy" condition (see task details below)

Task details

Each round commenced with presentation of a visual cue (green arrow = strategy, white bar = control) to inform the participant which cognitive task to perform. Instructions given were "think of nothing in particular" for control, condition "think of a safe and happy place" for strategy condition during MRI1 and "apply the cognitive strategy you developed during feedback trianing" for strategy condition during MRI2. Participants were asked to engage in the given cognitive task for the entire duration during which the visual cue was present (22-28s).

After a 12-16s pseudorandom delay, the RIII reflex was evoked by painful electrical stimulation of the left n. suralis and recorded for offline processing using MRI-safe ExG recording hardware. After an additional 10-12s delay participants rated the pain intensity on a scale of 0-100 (0 = no pain, 100 = strongest pain imaginable) using a sliding scale. A pseudorandom gap of 4-6s was placed between all trials.

Experimental location

Institiute for Stroke and Dementia Reserch in Munich, Germany.

Data abnormalities

For two subjects (sub-1344 and sub-1404), the BIDS structure contains additional sessions. This is due to hardware failute during the specific session and the inability to perform the fMRI task. fMRI task was repeated at the next possible time.

datacite.yml
Title Longitudinal fMRI dataset for pain modulation through learning descending pain inhibition through positive imagery and RIII reflex biofeedback
Authors Graeff,Philipp;Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University Munich, 82152 Planegg, Germany
Ruscheweyh,Ruth;Department of Neurology, University Hospital Großhadern, Ludwig-Maximilians-University Munich, 81377 Munich, Germany
Flanagin,Virginia L.;German Center for Vertigo and Balance Disorder (DSGZ), University Hospital Großhadern, Ludwig-Maximilians-University Munich, 81377 Munich, Germany
Description The human body has the ability to influence its sensation of pain by modifying the transfer of nociceptive information at the spinal level. This modulation, known as descending pain inhibition, is known to originate supraspinally and can be activated by a variety of ways including positive mental imagery. However, its exact mechanisms remain unknown. We investigated, using a longitudinal fMRI design, the brain activity leading up and in response to painful electrical stimulation when applying positive mental imagery before and after undergoing a previously established RIII-feedback paradigm. Time course analysis of the time preceding painful stimulation shows increased haemodynamic activity during the application of the strategy in the PFC, ACC, insula, thalamus, and hypothalamus. Time course analysis of the reaction to painful stimulation shows decreased reaction post-training in brainstem and thalamus, as well as the insula and dorsolateral PFC. Our work suggests that feedback training increases activity in areas involved in pain inhibition, while simultaneously decreasing decreases the reaction to painful stimuli in brain areas related to pain processing, which points to an activation of decreased spinal nociception. We further suggest that the insula and the thalamus may play a more important role in pain modulation than previously assumed.
License Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)
References Graeff P, Ruscheweyh R, Flanagin VL. (2023) Longitudinal changes in human supraspinal processing after RIII-feedback training to improve descending pain inhibition, NeuroImage,120432. [https://doi.org/10.1016/j.neuroimage.2023.120432] ()
Funding DFG, INST 409/193-1 FUGG
DFG, RTG 2175
DFG, Excellence Initiative, GSC 82/1
Keywords Pain
Pain modulation
Feedback training
Cognitive strategy
Resource Type Dataset