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Peng K, Yücel MA, Aasted CM, et al. Using prerecorded hemodynamic response functions in detecting prefrontal pain response: a functional near-infrared spectroscopy study. Neurophotonics. 2017;5(1):011018doi: 10.1117/1.NPh.5.1.011018.
Peng, K., Yücel, M. A., Aasted, C. M., Steele, S. C., Boas, D. A., Borsook, D., & Becerra, L. (2018). Using prerecorded hemodynamic response functions in detecting prefrontal pain response: a functional near-infrared spectroscopy study. Neurophotonics, 5(1), 011018. https://doi.org/10.1117/1.NPh.5.1.011018
Peng, Ke, et al. "Using prerecorded hemodynamic response functions in detecting prefrontal pain response: a functional near-infrared spectroscopy study." Neurophotonics vol. 5,1 (2018): 011018. doi: https://doi.org/10.1117/1.NPh.5.1.011018
Peng K, Yücel MA, Aasted CM, Steele SC, Boas DA, Borsook D, Becerra L. Using prerecorded hemodynamic response functions in detecting prefrontal pain response: a functional near-infrared spectroscopy study. Neurophotonics. 2018 Jan;5(1):011018. doi: 10.1117/1.NPh.5.1.011018. Epub 2017 Oct 16. PMID: 29057285; PMCID: PMC5641587.
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Neurophotonics. 2018 Jan;5(1):011018. doi: 10.1117/1.NPh.5.1.011018. Epub 2017 Oct 16.

Using prerecorded hemodynamic response functions in detecting prefrontal pain response: a functional near-infrared spectroscopy study.

Neurophotonics

Ke Peng, Meryem A Yücel, Christopher M Aasted, Sarah C Steele, David A Boas, David Borsook, Lino Becerra

Affiliations

  1. Harvard Medical School, Center for Pain and the Brain, Boston, Massachusetts, United States.
  2. Boston Children's Hospital and Harvard Medical School, Department of Anesthesiology, Perioperative and Pain Medicine, Boston, Massachusetts, United States.
  3. Massachusetts General Hospital and Harvard Medical School, MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
  4. Boston University, Boston University Neurophotonics Center, Boston, Massachusetts, United States.

PMID: 29057285 PMCID: PMC5641587 DOI: 10.1117/1.NPh.5.1.011018

Abstract

Currently, there is no method for providing a nonverbal objective assessment of pain. Recent work using functional near-infrared spectroscopy (fNIRS) has revealed its potential for objective measures. We conducted two fNIRS scans separated by 30 min and measured the hemodynamic response to the electrical noxious and innocuous stimuli over the anterior prefrontal cortex (aPFC) in 14 subjects. Based on the estimated hemodynamic response functions (HRFs), we first evaluated the test-retest reliability of using fNIRS in measuring the pain response over the aPFC. We then proposed a general linear model (GLM)-based detection model that employs the subject-specific HRFs from the first scan to detect the pain response in the second scan. Our results indicate that fNIRS has a reasonable reliability in detecting the hemodynamic changes associated with noxious events, especially in the medial portion of the aPFC. Compared with a standard HRF with a fixed shape, including the subject-specific HRFs in the GLM allows for a significant improvement in the detection sensitivity of aPFC pain response. This study supports the potential application of individualized analysis in using fNIRS and provides a robust model to perform objective determination of pain perception.

Keywords: anterior prefrontal cortex; detection sensitivity; hemodynamic response function; near-infrared spectroscopy; pain; test–retest reliability

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