Analysis for Distinctive Activation Patterns of Pain and Itchy in the Human Brain Cortex Measured Using Near Infrared Spectroscopy (NIRS)

Lee, Chih Hung; Sugiyama, Takashi; Kataoka, Aiko; Kudo, Ayako; Fujino, Fukue; Chen, Yu Wen; Mitsuyama, Yuki; Nomura, Shinobu; Yoshioka, Tohru

doi:10.1371/journal.pone.0075360

Cited by 46 publications

(51 citation statements)

References 37 publications

(43 reference statements)

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“…8 For example, Yücel et al 8 used innocuous and noxious electrical stimuli in 11 healthy subjects and obtained a localized hemodynamic response in the right and left motor-sensory regions; the noxious stimuli resulted in a higher response (HbO) as compared to the innocuous stimuli. In another study, Lee et al 15 observed distinct activation in the parietal and frontal areas for acute pressure pain and histamine-induced itch in seven subjects; the results showed a faster activation and stronger response of HbO signals for pressure pain than itch stimulation in both the frontal and parietal area. Ranger et al 16 recorded the HbO response of 20 critically ill infants (<12 months of age) during noxious procedures for cardiopulmonary bypass for various congenital heart defects (CHD) and found a significant bilateral increase in the somatosensory region despite the administration of analgesic treatment.…”

Section: Introductionmentioning

confidence: 91%

Toward a functional near-infrared spectroscopy-based monitoring of pain assessment for nonverbal patients

Rojas

Huang

2017

J. Biomed. Opt

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Abstract. Pain diagnosis for nonverbal patients represents a challenge in clinical settings. Neuroimaging methods, such as functional magnetic resonance imaging and functional near-infrared spectroscopy (fNIRS), have shown promising results to assess neuronal function in response to nociception and pain. Recent studies suggest that neuroimaging in conjunction with machine learning models can be used to predict different cognitive tasks. The aim of this study is to expand previous studies by exploring the classification of fNIRS signals (oxyhaemoglobin) according to temperature level (cold and hot) and corresponding pain intensity (low and high) using machine learning models. Toward this aim, we used the quantitative sensory testing to determine pain threshold and pain tolerance to cold and heat in 18 healthy subjects (three females), mean age AE standard deviation (31.9 AE 5.5). The classification model is based on the bag-of-words approach, a histogram representation used in document classification based on the frequencies of extracted words and adapted for time series; two learning algorithms were used separately, K-nearest neighbor (K-NN) and support vector machines (SVM). A comparison between two sets of fNIRS channels was also made in the classification task, all 24 channels and 8 channels from the somatosensory region defined as our region of interest (RoI). The results showed that K-NN obtained slightly better results (92.08%) than SVM (91.25%) using the 24 channels; however, the performance slightly dropped using only channels from the RoI with K-NN (91.53%) and SVM (90.83%). These results indicate potential applications of fNIRS in the development of a physiologically based diagnosis of human pain that would benefit vulnerable patients who cannot self-report pain. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 91%

Toward a functional near-infrared spectroscopy-based monitoring of pain assessment for nonverbal patients

Rojas

Huang

2017

J. Biomed. Opt

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“…1 Similar relation has been reported between subjects' self-report and functional near-infrared spectroscopy (fNIRS) parameters. [2][3][4][5][6][7][8] For example, Lee et al 4 reported that as the intensity of the noxious pressure stimuli increases, the HbO 2 in the frontal cortex increases as well, consistent with an increase in the perceived pain.…”

Section: Introductionmentioning

confidence: 99%

Application of functional data analysis in classification and clustering of functional near-infrared spectroscopy signal in response to noxious stimuli

2016

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Abstract. We introduce the application of functional data analysis (fDA) on functional near-infrared spectroscopy (fNIRS) signals for the development of an accurate and clinically practical assessment method of pain perception. We used the cold pressor test to induce different levels of pain in healthy subjects while the fNIRS signal was recorded from the frontal regions of the brain. We applied fDA on the collected fNIRS data to convert discrete samples into continuous curves. This method enabled us to represent the curves as a linear combination of basis functions. We utilized bases coefficients as features that represent the shape of the signals (as opposed to extracting defined features from signal) and used them to train a support vector machine to classify the signals based on the level of induced pain. We achieved 94% of accuracy to classify low-pain and high-pain signals. Moreover applying hierarchical clustering on the coefficients, we found three clusters in the data which represented low-pain (one cluster) and high-pain groups (two clusters) with an accuracy of 91.2%. The center of these clusters can represent the prototype fNIRS response of that pain level. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…As the frontal lobe is activated by pain or other unpleasant stimuli [68], we can support objective pain ratings according to a subjective declaration.…”

Section: Hemoencephalogram Recordingsmentioning

confidence: 99%

“…This measurement scheme provides a simple and convenient method for evaluating the dynamic responses of regional brain activities, which can be calculated from relative oxygenated hemoglobin and deoxyhemoglobin concentrations. As the frontal lobe is activated by pain or other unpleasant stimuli [68], we can support objective pain ratings according to a subjective declaration.…”

Section: Hemoencephalogram Recordingsmentioning

confidence: 99%

Pain-Relief Effects of Aroma Touch Therapy with <i>Citrus junos</i> Oil Evaluated by Quantitative EEG Occipital Alpha-2 Rhythm Powers

Bohgaki¹,

Katagiri²,

Usami³

2014

JBBS

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Aroma touch therapy is widely used in clinical fields for alleviating pain-related symptoms; however, few studies have reported the pain-relief mechanisms. The present study aimed to elucidate the analgesic effects of aroma touch therapy with Citrus junos oil based on the quantitative evaluation of deep brain network (DBN) activity using electroencephalogram (EEG) occipital alpha-2 rhythm (10 -13 Hz) powers. Experimental investigations were performed with 13 healthy volunteers using the cold pressor task for simulating chronic pain in three different sessions: a baseline session with no therapies, a control session with a touch therapy, and an aroma touch therapy. We have found for the first time that the interviewed pain ratings represented by Numeric Rating Scale (NRS) scores were strongly correlated with a DBN activity index, which was derived from the slow fluctuation components of occipital EEG alpha-2 rhythm powers. The correlation was characterized by a V-shaped curve in the DBN activity index versus the pain rating, i.e., the NRS score, which provided the complete analgesic states (NRS = 0) for some subjects under aroma touch therapy at an appropriate DBN activity index. Such analgesic states were not so strongly correlated with emotional valence. In conclusion, aroma touch therapy may directly modulate DBN activity so that pain-induced outcomes are minimized.

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Analysis for Distinctive Activation Patterns of Pain and Itchy in the Human Brain Cortex Measured Using Near Infrared Spectroscopy (NIRS)

Cited by 46 publications

References 37 publications

Toward a functional near-infrared spectroscopy-based monitoring of pain assessment for nonverbal patients

Toward a functional near-infrared spectroscopy-based monitoring of pain assessment for nonverbal patients

Application of functional data analysis in classification and clustering of functional near-infrared spectroscopy signal in response to noxious stimuli

Pain-Relief Effects of Aroma Touch Therapy with <i>Citrus junos</i> Oil Evaluated by Quantitative EEG Occipital Alpha-2 Rhythm Powers

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Analysis for Distinctive Activation Patterns of Pain and Itchy in the Human Brain Cortex Measured Using Near Infrared Spectroscopy (NIRS)

Cited by 46 publications

References 37 publications

Toward a functional near-infrared spectroscopy-based monitoring of pain assessment for nonverbal patients

Toward a functional near-infrared spectroscopy-based monitoring of pain assessment for nonverbal patients

Application of functional data analysis in classification and clustering of functional near-infrared spectroscopy signal in response to noxious stimuli

Pain-Relief Effects of Aroma Touch Therapy with &lt;i&gt;Citrus junos&lt;/i&gt; Oil Evaluated by Quantitative EEG Occipital Alpha-2 Rhythm Powers

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Pain-Relief Effects of Aroma Touch Therapy with <i>Citrus junos</i> Oil Evaluated by Quantitative EEG Occipital Alpha-2 Rhythm Powers