Title Information
Title
Characterizing M/EEG measures of pain through biophysically-principled neuromodeling and spectral event analysis
Type of Resource
text
Name: Personal
Name Part
Thorpe, Ryan V
Role
Role Term: Text
creator
Name: Personal
Name Part
Jones, Stephanie
Role
Role Term: Text
Reader
Name: Personal
Name Part
Saab, Carl
Role
Role Term: Text
Reader
Name: Personal
Name Part
Borton, David
Role
Role Term: Text
Advisor
Name: Corporate
Name Part
Brown University. Biology and Medicine: Biomedical Engineering
Role
Role Term: Text
sponsor
Origin Information
Copyright Date
2019
Physical Description
Extent
xi, 45 p.
digitalOrigin
born digital
Note: thesis
Thesis (Sc. M.)--Brown University, 2019
Genre (aat)
theses
Abstract
Numerous neural imaging and electrophysiological markers have been identified as correlates of pain, however, none have provided for the reliable, quantitative measurement of a human’s perceptual experience. In order to construct a more principled understanding of the cortical signals indicative of acute and chronic pain, this study takes two approaches, respectively. Part 1 elucidates where, when, and how noxious sensory input translates into magneto- and electroencephalography (M/EEG) evoked responses in primary somatosensory cortex (S1). Specifically, Part 1 uses a biophysically-principled model of a cortical column, Human Neocortical Neurosolver (HNN), to simulate the circuit mechanisms underlying the early-latency laser-evoked potential (LEP) versus median nerve stimulation-evoked potential (MNEP). The HNN model demonstrates that the early-latency LEP (i.e., the Aδ-N1 complex) emerges from S1 as the unique result of a phase-locked burst of proximal drive (from lemniscal thalamus to S1 layer 4) and distal drive (from high-order cortex or non-lemniscal thalamus to S1 layer 2/3). Furthermore, the inter-spike interval of pre-synaptic inputs occur at a theta period (125 ms) and gamma period (25 ms), respectively. Part 2 examines the transient nature of spectral EEG activity in humans with resting-state chronic pain (i.e., lumbar radiculopathy). Motivated by the understanding that governing mechanisms of ``rhythmic" neural activity begin and end in finite time, Part 2 compares four features of spectral events (i.e., count/epoch, power, duration, and frequency span) between the chronic pain and healthy control populations in empirically-determined frequency bands. Centered around 40 Hz, spectral event analysis revealed that three of the four features (count/epoch, peak power, and frequency span) were significantly different between the two populations for the eyes open condition and two of the four features (count/epoch and frequency span) where significantly different between the two populations for the eyes closed condition. Overall, the results of this study predict that specific bursts of rhythmic events facilitate transfer of pain-related information and call for a more targeted investigation for their use as both biomarkers and underlying circuit mechanisms.
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00906445")
Topic
Electroencephalography
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01005861")
Topic
Magnetoencephalography
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01125749")
Topic
Somatosensory evoked potentials
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00860118")
Topic
Chronic pain
Subject
Topic
Acute pain
Language
Language Term (ISO639-2B)
English
Record Information
Record Content Source (marcorg)
RPB
Record Creation Date (encoding="iso8601")
20190603
Identifier: DOI
10.26300/f7ba-n221
Access Condition: rights statement (href="http://rightsstatements.org/vocab/InC/1.0/")
In Copyright
Access Condition: restriction on access
All rights reserved. Collection is open to the Brown community for research.