Feasibility of diffuse optical imaging to quantify perception of pain - Krishnamurthy, Venkatagiri
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Perception of pain is multi-dimensional, comprising three major psychological dimensions: sensory-discriminative, motivational-affective and cognitive-evaluative.The pain experience and subjective assessment of pain varies greatly among people.In psychological studies, behavioral measures are gathered by asking the patient or subject to rate their feelings based on a specific scale. This approach is useful in the clinical setting to assess a patient s perceived amount of pain. However, behavioral measures do not point to the specific brain areas involved in cognitive or affective phenomenon…mehr

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Produktbeschreibung
Perception of pain is multi-dimensional, comprising three major psychological dimensions: sensory-discriminative, motivational-affective and cognitive-evaluative.The pain experience and subjective assessment of pain varies greatly among people.In psychological studies, behavioral measures are gathered by asking the patient or subject to rate their feelings based on a specific scale. This approach is useful in the clinical setting to assess a patient s perceived amount of pain. However, behavioral measures do not point to the specific brain areas involved in cognitive or affective phenomenon during distress or injury. Hence, several researchers have taken the progressive step of combining behavioral measures with the spatio-temporal aspects of brain activity available through neuroimaging. Near Infra-Red Spectroscopy (NIRS) is a promising technology as it provides several advantages such as non-invasiveness, inherently non-ionizing radiation, patient-friendliness, portability and low cost electronics. The goal of this dissertation work is to develop novel methods to quantify neural correlates between pain perception and NIRS measurements acquired from the prefrontal cortical areas.
Autorenporträt
Venkatagiri Krishnamurthy obtained his doctoral degree in Biomedical Engineering from University of Texas at Arlington.Over the years of his PhD training,he has gained extensive training and experience in applying fMRI,EEG,and fNIRS techniques and methodologies to elucidate the underlying physiological and biophysical aspects of human cognition.