Neuroimaging Correlates of Post-Stroke Pain After Ischemic Stroke: Secondary Analysis of the INSPiRE-TMS Trial
Stegemann, A.; Rios, A. S.; Khalil, A. A.; Grittner, U.; Temuulen, U.; Ganeshan, R.; Braemswig, T. B.; Horn, A.; Ihl, T.; Audebert, H. J.; Kufner, A.; Endres, M.
Show abstract
BackgroundPost-stroke pain (PSP) affects nearly half of stroke survivors, severely compromising quality of life. The causes of PSP remain underexplored, although there is likely a complex interplay of lesion effects, psychological factors and mobility that play a role in the development of PSP. The aim of the study was to investigate clinical characteristics associated with PSP, as well as structural and functional correlates of PSP using lesion symptom (LSM) and network mapping (LNM). MethodsWe analyzed data from the INSPiRE-TMS cohort, encompassing 1,022 minor ischemic stroke patients. Pain severity and psychological factors (EQ5D-3L questionnaire) were assessed annually for up to 3 years. In a sub-group of 391 patients with available imaging data, LSM and LNM analyses were conducted to identify neural correlates of PSP. ResultsOverall, 47% of patients reported pain 1-year post-stroke. Multivariable regression analyses identified baseline anxiety as being associated with PSP assessed at 1-year post-stroke (OR 2.90, 95% CI 1.17-7.17, p=0.021). LSM did not identify any voxels associated with new severe pain. LNM identified a network involving anterior cingulate cortex, thalamus and insular cortex. Adjusting for anxiety highlighted distinct network contributions, suggesting interactive effects of psychological states on pain perception. Automated comparison to large metanalytical findings using Neurosynth associated the terms pain and nociception most strongly to the identified network. ConclusionPSP is closely associated with psychological factors such as anxiety. LNM of PSP revealed disruptions in a pain-related neural network consistent with prior pain research. These results warrant external validation and could guide future network-targeted neuromodulation therapies. RegistrationURL: https://www.clinicaltrials.gov; Unique identifier: NCT01586702.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Convergent structural brain alterations in chronic pain: A multi-metric individual participant data meta-analysis 94%
- A candidate neuroimaging biomarker for detection of neurotransmission-related functional alterations and prediction of pharmacological analgesic response in chronic pain 93%
- Hyperconnectivity and altered dynamic interactions of a nucleus accumbens network in post-stroke depression 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.