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Valentini E, Halder S, Romei V. The independence and predictivity of resting pain-free slow alpha frequency as a biomarker of pain: A reply to Mazaheri et al. Neuroimage 2024; 296:120681. [PMID: 38857818 DOI: 10.1016/j.neuroimage.2024.120681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 05/30/2024] [Accepted: 06/07/2024] [Indexed: 06/12/2024] Open
Abstract
In response to Mazaheri et al.'s critique, we revisited our study (Valentini et al., 2022) on the relationship between peak alpha frequency (PAF) and pain. Their commentary prompted us to reassess our data to address the independence between slow and slowing alpha brain oscillations, as well as the predictivity of slow alpha oscillations in pain perception. Bayesian correlation analyses revealed mixed support for independence. Investigating predictivity, we found inconsistent associations between pre-PAF and unpleasantness ratings. We critically reflected on methodological and theoretical issues on the path to PAF validation as a pain biomarker. We emphasized the need for diversified methodology and analytical approaches as well as robust findings across research groups.
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Affiliation(s)
- Elia Valentini
- University of Essex, Department of Psychology and Centre for Brain Science, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom.
| | - Sebastian Halder
- University of Essex, School of Computer Science and Electronic Engineering, Colchester, United Kingdom
| | - Vincenzo Romei
- Centro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Italy; Facultad de Lenguas y Educación, Universidad Antonio de Nebrija, Madrid, Spain
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Otero M, Prieur-Coloma Y, El-Deredy W, Weinstein A. A High-Resolution LED Stimulator for Steady-State Visual Stimulation: Customizable, Affordable, and Open Source. SENSORS (BASEL, SWITZERLAND) 2024; 24:678. [PMID: 38276370 PMCID: PMC10819381 DOI: 10.3390/s24020678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024]
Abstract
Visually evoked steady-state potentials (SSVEPs) are neural responses elicited by visual stimuli oscillating at specific frequencies. In this study, we introduce a novel LED stimulator system explicitly designed for steady-state visual stimulation, offering precise control over visual stimulus parameters, including frequency resolution, luminance, and the ability to control the phase at the end of the stimulation. The LED stimulator provides a personalized, modular, and affordable option for experimental setups. Based on the Teensy 3.2 board, the stimulator utilizes direct digital synthesis and pulse width modulation techniques to control the LEDs. We validated its performance through four experiments: the first two measured LED light intensities directly, while the last two assessed the stimulator's impact on EEG recordings. The results demonstrate that the stimulator can deliver a stimulus suitable for generating SSVEPs with the desired frequency and phase resolution. As an open source resource, we provide comprehensive documentation, including all necessary codes and electrical diagrams, which facilitates the system's replication and adaptation for specific experimental requirements, enhancing its potential for widespread use in the field of neuroscience setups.
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Affiliation(s)
- Mónica Otero
- Facultad de Ingeniería, Arquitectura y Diseño, Universidad San Sebastián, Santiago de Chile 8420000, Chile;
- Centro BASAL Ciencia & Vida, Universidad San Sebastián, Santiago de Chile 8580000, Chile
| | - Yunier Prieur-Coloma
- Brain Dynamics Laboratory, Universidad de Valparaíso, Valparaíso 2340000, Chile; (Y.P.-C.); (W.E.-D.)
- Escuela de Ingeniería Civil Biomédica, Facultad de Ingeniería, Universidad de Valparaíso, Valparaíso 2340000, Chile
| | - Wael El-Deredy
- Brain Dynamics Laboratory, Universidad de Valparaíso, Valparaíso 2340000, Chile; (Y.P.-C.); (W.E.-D.)
- Escuela de Ingeniería Civil Biomédica, Facultad de Ingeniería, Universidad de Valparaíso, Valparaíso 2340000, Chile
- Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2340000, Chile
| | - Alejandro Weinstein
- Escuela de Ingeniería Civil Biomédica, Facultad de Ingeniería, Universidad de Valparaíso, Valparaíso 2340000, Chile
- Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2340000, Chile
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Chowdhury NS, Skippen P, Si E, Chiang AKI, Millard SK, Furman AJ, Chen S, Schabrun SM, Seminowicz DA. The reliability of two prospective cortical biomarkers for pain: EEG peak alpha frequency and TMS corticomotor excitability. J Neurosci Methods 2023; 385:109766. [PMID: 36495945 PMCID: PMC9848447 DOI: 10.1016/j.jneumeth.2022.109766] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/10/2022] [Accepted: 12/03/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Many pain biomarkers fail to move from discovery to clinical application, attributed to poor reliability and an inability to accurately classify at-risk individuals. Preliminary evidence has shown that high pain sensitivity is associated with slow peak alpha frequency (PAF), and depression of corticomotor excitability (CME), potentially due to impairments in ascending sensory and descending motor pathway signalling respectively NEW METHOD: The present study evaluated the reliability of PAF and CME responses during sustained pain. Specifically, we determined whether, over several days of pain, a) PAF remains stable and b) individuals show two stable and distinct CME responses: facilitation and depression. Participants were given an injection of nerve growth factor (NGF) into the right masseter muscle on Day 0 and Day 2, inducing sustained pain. Electroencephalography (EEG) to assess PAF and transcranial magnetic stimulation (TMS) to assess CME were recorded on Day 0, Day 2 and Day 5. RESULTS Using a weighted peak estimate, PAF reliability (n = 75) was in the excellent range even without standard pre-processing and ∼2 min recording length. Using a single peak estimate, PAF reliability was in the moderate-good range. For CME (n = 74), 80% of participants showed facilitation or depression of CME beyond an optimal cut-off point, with the stability of these changes in the good range. COMPARISON WITH EXISTING METHODS No study has assessed the reliability of PAF or feasibility of classifying individuals as facilitators/depressors, in response to sustained pain. PAF was reliable even in the presence of pain. The use of a weighted peak estimate for PAF is recommended, as excellent test-retest reliability can be obtained even when using minimal pre-processing and ∼2 min recording. We also showed that 80% of individuals exhibit either facilitation or depression of CME, with these changes being stable across sessions. CONCLUSIONS Our study provides support for the reliability of PAF and CME as prospective cortical biomarkers. As such, our paper adds important methodological advances to the rapidly growing field of pain biomarkers.
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Affiliation(s)
- Nahian S Chowdhury
- Center for Pain IMPACT, Neuroscience Research Australia, Sydney, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia.
| | - Patrick Skippen
- Center for Pain IMPACT, Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Emily Si
- Center for Pain IMPACT, Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Alan K I Chiang
- Center for Pain IMPACT, Neuroscience Research Australia, Sydney, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia
| | - Samantha K Millard
- Center for Pain IMPACT, Neuroscience Research Australia, Sydney, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia
| | - Andrew J Furman
- Department of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, USA; Center to Advance Chronic Pain Research, University of Maryland Baltimore, USA
| | - Shuo Chen
- Department of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, USA; Center to Advance Chronic Pain Research, University of Maryland Baltimore, USA
| | - Siobhan M Schabrun
- Center for Pain IMPACT, Neuroscience Research Australia, Sydney, New South Wales, Australia; School of Physical Therapy, University of Western Ontario, London, Canada
| | - David A Seminowicz
- Center for Pain IMPACT, Neuroscience Research Australia, Sydney, New South Wales, Australia; Department of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, USA; Center to Advance Chronic Pain Research, University of Maryland Baltimore, USA; Department of Medical Biophysics, University of Western Ontario, London, Canada
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