Paulo E P Teixeira1,2,3,4, Kevin Pacheco-Barrios1,2,5, Elif Uygur-Kucukseymen1,2, Roberto Mathias Machado1,2, Ana Balbuena-Pareja1,2, Stefano Giannoni-Luza1,2, Maria Alejandra Luna-Cuadros1,2, Alejandra Cardenas-Rojas1,2, Paola Gonzalez-Mego1,2, Piero F Mejia-Pando1,2, Timothy Wagner6,7, Laura Dipietro7, Felipe Fregni1,2,7. 1. Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, Massachusetts, USA. 2. Harvard Medical School, Boston, Massachusetts, USA. 3. MGH Institute of Health Professions, Boston, Massachusetts, USA. 4. Instituto Wilson Mello, Campinas, SP, Brazil. 5. Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, . Lima, Peru. 6. Division of Health Sciences and Technology, Harvard Medical School/Massachusetts Institute of Technology, Boston, Massachusetts, USA. 7. Highland Instruments, Inc., Cambridge, Massachusetts, USA.
Abstract
Conditioned pain modulation (CPM) can discriminate between healthy and chronic pain patients. However, its relationship with neurophysiological pain mechanisms is poorly understood. Brain oscillations measured by electroencephalography (EEG) might help gain insight into this complex relationship. OBJECTIVE: To investigate the relationship between CPM response and self-reported pain intensity in non-specific chronic low back pain (NSCLBP) and explore respective EEG signatures associated to these mechanisms. DESIGN: Cross-sectional analysis. PARTICIPANTS: Thirty NSCLBP patients participated. METHODS: Self-reported low back pain, questionnaires, mood scales, CPM (static and dynamic quantitative sensory tests), and resting surface EEG data were collected and analyzed. Linear regression models were used for statistical analysis. RESULTS: CPM was not significantly correlated with self-reported pain intensity scores. Relative power of EEG in the beta and high beta bands as recorded from the frontal, central, and parietal cortical areas were significantly associated with CPM. EEG relative power at delta and theta bands as recorded from the central area were significantly correlated with self-reported pain intensity scores while controlling for self-reported depression. CONCLUSIONS: Faster EEG frequencies recorded from pain perception areas may provide a signature of a potential cortical compensation caused by chronic pain states. Slower EEG frequencies may have a critical role in abnormal pain processing.
Conditioned pain modulation (CPM) can discriminate between healthy and chronic pain patients. However, its relationship with neurophysiological pain mechanisms is poorly understood. Brain oscillations measured by electroencephalography (EEG) might help gain insight into this complex relationship. OBJECTIVE: To investigate the relationship between CPM response and self-reported pain intensity in non-specific chronic low back pain (NSCLBP) and explore respective EEG signatures associated to these mechanisms. DESIGN: Cross-sectional analysis. PARTICIPANTS: Thirty NSCLBP patients participated. METHODS: Self-reported low back pain, questionnaires, mood scales, CPM (static and dynamic quantitative sensory tests), and resting surface EEG data were collected and analyzed. Linear regression models were used for statistical analysis. RESULTS: CPM was not significantly correlated with self-reported pain intensity scores. Relative power of EEG in the beta and high beta bands as recorded from the frontal, central, and parietal cortical areas were significantly associated with CPM. EEG relative power at delta and theta bands as recorded from the central area were significantly correlated with self-reported pain intensity scores while controlling for self-reported depression. CONCLUSIONS: Faster EEG frequencies recorded from pain perception areas may provide a signature of a potential cortical compensation caused by chronic pain states. Slower EEG frequencies may have a critical role in abnormal pain processing.
Authors: M P Jensen; L H Sherlin; K J Gertz; A L Braden; A E Kupper; A Gianas; J D Howe; S Hakimian Journal: Spinal Cord Date: 2012-07-17 Impact factor: 2.772
Authors: Richard A Deyo; Samuel F Dworkin; Dagmar Amtmann; Gunnar Andersson; David Borenstein; Eugene Carragee; John Carrino; Roger Chou; Karon Cook; Anthony DeLitto; Christine Goertz; Partap Khalsa; John Loeser; Sean Mackey; James Panagis; James Rainville; Tor Tosteson; Dennis Turk; Michael Von Korff; Debra K Weiner Journal: J Pain Date: 2014-04-29 Impact factor: 5.820
Authors: Luis Castelo-Branco; Alejandra Cardenas-Rojas; Ingrid Rebello-Sanchez; Kevin Pacheco-Barrios; Paulo S de Melo; Paola Gonzalez-Mego; Anna Marduy; Karen Vasquez-Avila; Pablo Costa Cortez; Joao Parente; Paulo E P Teixeira; Gleysson Rosa; Kelly McInnis; Wolnei Caumo; Felipe Fregni Journal: Front Pain Res (Lausanne) Date: 2022-06-22