Magnetic Resonance Spectroscopy Detects Biochemical Changes in the Brain Associated with Chronic Low Back Pain: A Preliminary Report
Magnetic resonance (MR) spectroscopy is a noninvasive technique that can be used to detect and measure the concentration of metabolites and neurotransmitters in the brain and other organs. We used in vivo1H MR spectroscopy in subjects with low back pain compared with control subjects to detect alter...
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Published in | Anesthesia and analgesia Vol. 102; no. 4; pp. 1164 - 1168 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hagerstown, MD
International Anesthesia Research Society
01.04.2006
Lippincott |
Subjects | |
Online Access | Get full text |
ISSN | 0003-2999 1526-7598 1526-7598 |
DOI | 10.1213/01.ane.0000198333.22687.a6 |
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Abstract | Magnetic resonance (MR) spectroscopy is a noninvasive technique that can be used to detect and measure the concentration of metabolites and neurotransmitters in the brain and other organs. We used in vivo1H MR spectroscopy in subjects with low back pain compared with control subjects to detect alterations in biochemistry in three brain regions associated with pain processing. A pattern recognition approach was used to determine whether it was possible to discriminate accurately subjects with low back pain from control subjects based on MR spectroscopy. MR spectra were obtained from the prefrontal cortex, anterior cingulate cortex, and thalamus of 32 subjects with low back pain and 33 control subjects without pain. Spectra were analyzed and compared between groups using a pattern recognition method (Statistical Classification Strategy). Using this approach, it was possible to discriminate between subjects with low back pain and control subjects with accuracies of 100%, 99%, and 97% using spectra obtained from the anterior cingulate cortex, thalamus, and prefrontal cortex, respectively. These results demonstrate that MR spectroscopy, in combination with an appropriate pattern recognition approach, is able to detect brain biochemical changes associated with chronic pain with a high degree of accuracy. |
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AbstractList | Magnetic resonance (MR) spectroscopy is a noninvasive technique that can be used to detect and measure the concentration of metabolites and neurotransmitters in the brain and other organs. We used in vivo1H MR spectroscopy in subjects with low back pain compared with control subjects to detect alterations in biochemistry in three brain regions associated with pain processing. A pattern recognition approach was used to determine whether it was possible to discriminate accurately subjects with low back pain from control subjects based on MR spectroscopy. MR spectra were obtained from the prefrontal cortex, anterior cingulate cortex, and thalamus of 32 subjects with low back pain and 33 control subjects without pain. Spectra were analyzed and compared between groups using a pattern recognition method (Statistical Classification Strategy). Using this approach, it was possible to discriminate between subjects with low back pain and control subjects with accuracies of 100%, 99%, and 97% using spectra obtained from the anterior cingulate cortex, thalamus, and prefrontal cortex, respectively. These results demonstrate that MR spectroscopy, in combination with an appropriate pattern recognition approach, is able to detect brain biochemical changes associated with chronic pain with a high degree of accuracy. Magnetic resonance (MR) spectroscopy is a noninvasive technique that can be used to detect and measure the concentration of metabolites and neurotransmitters in the brain and other organs. We used in vivo (1)H MR spectroscopy in subjects with low back pain compared with control subjects to detect alterations in biochemistry in three brain regions associated with pain processing. A pattern recognition approach was used to determine whether it was possible to discriminate accurately subjects with low back pain from control subjects based on MR spectroscopy. MR spectra were obtained from the prefrontal cortex, anterior cingulate cortex, and thalamus of 32 subjects with low back pain and 33 control subjects without pain. Spectra were analyzed and compared between groups using a pattern recognition method (Statistical Classification Strategy). Using this approach, it was possible to discriminate between subjects with low back pain and control subjects with accuracies of 100%, 99%, and 97% using spectra obtained from the anterior cingulate cortex, thalamus, and prefrontal cortex, respectively. These results demonstrate that MR spectroscopy, in combination with an appropriate pattern recognition approach, is able to detect brain biochemical changes associated with chronic pain with a high degree of accuracy. Magnetic resonance (MR) spectroscopy is a noninvasive technique that can be used to detect and measure the concentration of metabolites and neurotransmitters in the brain and other organs. We used in vivo (1)H MR spectroscopy in subjects with low back pain compared with control subjects to detect alterations in biochemistry in three brain regions associated with pain processing. A pattern recognition approach was used to determine whether it was possible to discriminate accurately subjects with low back pain from control subjects based on MR spectroscopy. MR spectra were obtained from the prefrontal cortex, anterior cingulate cortex, and thalamus of 32 subjects with low back pain and 33 control subjects without pain. Spectra were analyzed and compared between groups using a pattern recognition method (Statistical Classification Strategy). Using this approach, it was possible to discriminate between subjects with low back pain and control subjects with accuracies of 100%, 99%, and 97% using spectra obtained from the anterior cingulate cortex, thalamus, and prefrontal cortex, respectively. These results demonstrate that MR spectroscopy, in combination with an appropriate pattern recognition approach, is able to detect brain biochemical changes associated with chronic pain with a high degree of accuracy.Magnetic resonance (MR) spectroscopy is a noninvasive technique that can be used to detect and measure the concentration of metabolites and neurotransmitters in the brain and other organs. We used in vivo (1)H MR spectroscopy in subjects with low back pain compared with control subjects to detect alterations in biochemistry in three brain regions associated with pain processing. A pattern recognition approach was used to determine whether it was possible to discriminate accurately subjects with low back pain from control subjects based on MR spectroscopy. MR spectra were obtained from the prefrontal cortex, anterior cingulate cortex, and thalamus of 32 subjects with low back pain and 33 control subjects without pain. Spectra were analyzed and compared between groups using a pattern recognition method (Statistical Classification Strategy). Using this approach, it was possible to discriminate between subjects with low back pain and control subjects with accuracies of 100%, 99%, and 97% using spectra obtained from the anterior cingulate cortex, thalamus, and prefrontal cortex, respectively. These results demonstrate that MR spectroscopy, in combination with an appropriate pattern recognition approach, is able to detect brain biochemical changes associated with chronic pain with a high degree of accuracy. |
Author | Lean, Cynthia Dolenko, Brion Stanwell, Peter Nikulin, Alexander Mountford, Carolyn E. Cousins, Michael J. Himmelreich, Uwe Bourne, Roger Siddall, Philip J. Woodhouse, Annie Somorjai, Ray L. |
AuthorAffiliation | Pain Management Research Institute, University of Sydney, Royal North Shore Hospital and †Institute for Magnetic Resonance Research and Department of Magnetic Resonance in Medicine, University of Sydney, Sydney, Australia; and ‡Institute for Biodiagnostics, National Research Council Canada, Winnipeg, Canada |
AuthorAffiliation_xml | – name: Pain Management Research Institute, University of Sydney, Royal North Shore Hospital and †Institute for Magnetic Resonance Research and Department of Magnetic Resonance in Medicine, University of Sydney, Sydney, Australia; and ‡Institute for Biodiagnostics, National Research Council Canada, Winnipeg, Canada |
Author_xml | – sequence: 1 givenname: Philip surname: Siddall middlename: J. fullname: Siddall, Philip J. organization: Pain Management Research Institute, University of Sydney, Royal North Shore Hospital and †Institute for Magnetic Resonance Research and Department of Magnetic Resonance in Medicine, University of Sydney, Sydney, Australia; and ‡Institute for Biodiagnostics, National Research Council Canada, Winnipeg, Canada – sequence: 2 givenname: Peter surname: Stanwell fullname: Stanwell, Peter – sequence: 3 givenname: Annie surname: Woodhouse fullname: Woodhouse, Annie – sequence: 4 givenname: Ray surname: Somorjai middlename: L. fullname: Somorjai, Ray L. – sequence: 5 givenname: Brion surname: Dolenko fullname: Dolenko, Brion – sequence: 6 givenname: Alexander surname: Nikulin fullname: Nikulin, Alexander – sequence: 7 givenname: Roger surname: Bourne fullname: Bourne, Roger – sequence: 8 givenname: Uwe surname: Himmelreich fullname: Himmelreich, Uwe – sequence: 9 givenname: Cynthia surname: Lean fullname: Lean, Cynthia – sequence: 10 givenname: Michael surname: Cousins middlename: J. fullname: Cousins, Michael J. – sequence: 11 givenname: Carolyn surname: Mountford middlename: E. fullname: Mountford, Carolyn E. |
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Keywords | Chronic Pain Lumbar spine Low back pain Diseases of the osteoarticular system Rachialgia Anesthesia Spine disease Encephalon |
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SubjectTerms | Anesthesia Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy Biological and medical sciences Brain - metabolism Gyrus Cinguli - metabolism Humans Low Back Pain - diagnosis Low Back Pain - metabolism Magnetic Resonance Spectroscopy - methods Medical sciences Pain Measurement - methods Prefrontal Cortex - metabolism Thalamus - metabolism |
Title | Magnetic Resonance Spectroscopy Detects Biochemical Changes in the Brain Associated with Chronic Low Back Pain: A Preliminary Report |
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