Maladaptive Compensatory Neural Mechanisms Associated with Activity-Related Osteoarthritis Pain: Dissociation of Psychological and Activity-Related Neural Mechanisms of WOMAC Pain and VAS Pain

<b>Background/Objectives:</b> Knee osteoarthritis (KOA) is one of the most common causes of chronic pain and disability in older adults. Its mechanisms are both peripheral and central, causing discordance between pain intensity and disease severity. To provide better, mechanism-driven treatments for KOA, it is important to understand the emotional, physical, and neurophysiological factors that influence pain intensity. Thus, we proposed a multivariate model investigation of the multimodal predictors of pain intensity in patients with chronic KOA pain. <b>Methods</b>: We conducted an extensive assessment of 105 KOA patients. We used two different types of outcomes: (i) activity-related (Western Ontario and McMaster Universities Osteoarthritis [WOMAC] pain scale), and (ii) non-specific (visual analog scale [VAS]) pain assessments. <b>Results:</b> We found the following. (1) A higher WOMAC pain score was predicted by sensory-motor markers (lower intracortical inhibition [<i>p</i> = 0.021] and higher beta-band oscillations [<i>p</i> = 0.027]) and central sensitization (dysfunctional CPM response [<i>p</i> < 0.001]), in addition to the psychological and peripheral sensitization factors (adjusted R<sup>2</sup> = 52%, F (5, 99) = 22.81, <i>p</i> < 0.0001). (2) Conversely, higher VAS pain intensity was only predicted by psychological factors (higher depression [<i>p</i> = 0.021] and pain catastrophizing [<i>p</i> = 0.003]), peripheral sensitization (lower pain thresholds), and worse motor function (balance test) (adjusted R<sup>2</sup> = 36%, F (5, 99) = 12.57, <i>p</i> < 0.0001). Interestingly, no TMS or EEG markers were associated with VAS pain. <b>Conclusions:</b> Our study supports the notion that pain during physical activity is associated with a neural signature that demonstrates a lack of compensatory mechanisms for pain (decreased cortical inhibition, higher beta-band oscillations, and defective CPM), and it is different from the pain at rest, measured by the VAS, which is related mostly to emotional circuit dysregulation. These findings are important for developing better-targeted neural therapies given the contribution of different neural mechanisms to OA pain.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2025-05-22
DOI
https://doi.org/10.3390/jcm14113633
Citations
3
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
4.18

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Maladaptive Compensatory Neural Mechanisms Associated with Activity-Related Osteoarthritis Pain: Dissociation of Psychological and Activity-Related Neural Mechanisms of WOMAC Pain and VAS Pain

Linamara Rizzo Battistella, Anna Marduy, Felipe Fregni, Marta Imamura et al.
3 citations
Journal of Clinical Medicine
Musculoskeletal pain and rehabilitation
4.18
article

Maladaptive Compensatory Neural Mechanisms Associated with Activity-Related Osteoarthritis Pain: Dissociation of Psychological and Activity-Related Neural Mechanisms of WOMAC Pain and VAS Pain

Linamara Rizzo Battistella, Anna Marduy, Felipe Fregni, Marta Imamura, Kevin Pacheco‐Barrios, Paulo S. de Melo
article en
3 citations

Abstract

<b>Background/Objectives:</b> Knee osteoarthritis (KOA) is one of the most common causes of chronic pain and disability in older adults. Its mechanisms are both peripheral and central, causing discordance between pain intensity and disease severity. To provide better, mechanism-driven treatments for KOA, it is important to understand the emotional, physical, and neurophysiological factors that influence pain intensity. Thus, we proposed a multivariate model investigation of the multimodal predictors of pain intensity in patients with chronic KOA pain. <b>Methods</b>: We conducted an extensive assessment of 105 KOA patients. We used two different types of outcomes: (i) activity-related (Western Ontario and McMaster Universities Osteoarthritis [WOMAC] pain scale), and (ii) non-specific (visual analog scale [VAS]) pain assessments. <b>Results:</b> We found the following. (1) A higher WOMAC pain score was predicted by sensory-motor markers (lower intracortical inhibition [<i>p</i> = 0.021] and higher beta-band oscillations [<i>p</i> = 0.027]) and central sensitization (dysfunctional CPM response [<i>p</i> < 0.001]), in addition to the psychological and peripheral sensitization factors (adjusted R<sup>2</sup> = 52%, F (5, 99) = 22.81, <i>p</i> < 0.0001). (2) Conversely, higher VAS pain intensity was only predicted by psychological factors (higher depression [<i>p</i> = 0.021] and pain catastrophizing [<i>p</i> = 0.003]), peripheral sensitization (lower pain thresholds), and worse motor function (balance test) (adjusted R<sup>2</sup> = 36%, F (5, 99) = 12.57, <i>p</i> < 0.0001). Interestingly, no TMS or EEG markers were associated with VAS pain. <b>Conclusions:</b> Our study supports the notion that pain during physical activity is associated with a neural signature that demonstrates a lack of compensatory mechanisms for pain (decreased cortical inhibition, higher beta-band oscillations, and defective CPM), and it is different from the pain at rest, measured by the VAS, which is related mostly to emotional circuit dysregulation. These findings are important for developing better-targeted neural therapies given the contribution of different neural mechanisms to OA pain.

Journal of Clinical MedicineVol. 14(11)
Harvard University (US), Universidad San Ignacio de Loyola (PE), Spaulding Rehabilitation Hospital (US), Massachusetts General Hospital (US), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo
Good health and well-being
Openalex Percentile: Top 6%
Musculoskeletal pain and rehabilitation
4.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.