Two‐dimensional J‐resolved proton MR spectroscopy and prior knowledge fitting (ProFit) in the frontal and parietal lobes of healthy volunteers: Assessment of metabolite discrimination and general reproducibility. Issue 3 (10th October 2012)
- Record Type:
- Journal Article
- Title:
- Two‐dimensional J‐resolved proton MR spectroscopy and prior knowledge fitting (ProFit) in the frontal and parietal lobes of healthy volunteers: Assessment of metabolite discrimination and general reproducibility. Issue 3 (10th October 2012)
- Main Title:
- Two‐dimensional J‐resolved proton MR spectroscopy and prior knowledge fitting (ProFit) in the frontal and parietal lobes of healthy volunteers: Assessment of metabolite discrimination and general reproducibility
- Authors:
- Prescot, Andrew P.
Renshaw, Perry F. - Abstract:
- <abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <sec id="abs1-1" sec-type="section"> <title>Purpose:</title> <p>To investigate human brain metabolite discriminability and general measurement reproducibility of two‐dimensional (2D) <italic>J</italic>‐resolved <sup>1</sup>H MRS and Prior Knowledge Fitting (ProFit).</p> </sec> <sec id="abs1-2" sec-type="section"> <title>Materials and Methods:</title> <p>2D <italic>J</italic>‐resolved <sup>1</sup>H MRS spectra were acquired from the anterior cingulate cortex (ACC) and the parietal‐occipital cortex (POC) of 10 healthy subjects at a magnetic field strength of 2.9 Tesla. Amplitude correlation matrices were constructed for each subject and brain region to assess metabolite discriminability. ProFit‐estimated metabolite peak areas were normalized to a water reference signal, and intra‐ and inter‐subject reproducibility was evaluated.</p> </sec> <sec id="abs1-3" sec-type="section"> <title>Results:</title> <p>Favorable between‐metabolite correlation coefficients (&lt;20%) were observed for a range of metabolites. Lower correlation coefficients between a given pair of metabolite estimates were consistently observed for POC metabolites. The group mean correlation coefficient existing between glutamate and glutamine was calculated as −18% and −13% for ACC and POC, respectively. Most ACC and POC metabolites showed intra‐ and inter‐subject CV values of &lt;15% and &lt;20%, respectively.</p> </sec> <sec id="abs1-4"<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <sec id="abs1-1" sec-type="section"> <title>Purpose:</title> <p>To investigate human brain metabolite discriminability and general measurement reproducibility of two‐dimensional (2D) <italic>J</italic>‐resolved <sup>1</sup>H MRS and Prior Knowledge Fitting (ProFit).</p> </sec> <sec id="abs1-2" sec-type="section"> <title>Materials and Methods:</title> <p>2D <italic>J</italic>‐resolved <sup>1</sup>H MRS spectra were acquired from the anterior cingulate cortex (ACC) and the parietal‐occipital cortex (POC) of 10 healthy subjects at a magnetic field strength of 2.9 Tesla. Amplitude correlation matrices were constructed for each subject and brain region to assess metabolite discriminability. ProFit‐estimated metabolite peak areas were normalized to a water reference signal, and intra‐ and inter‐subject reproducibility was evaluated.</p> </sec> <sec id="abs1-3" sec-type="section"> <title>Results:</title> <p>Favorable between‐metabolite correlation coefficients (&lt;20%) were observed for a range of metabolites. Lower correlation coefficients between a given pair of metabolite estimates were consistently observed for POC metabolites. The group mean correlation coefficient existing between glutamate and glutamine was calculated as −18% and −13% for ACC and POC, respectively. Most ACC and POC metabolites showed intra‐ and inter‐subject CV values of &lt;15% and &lt;20%, respectively.</p> </sec> <sec id="abs1-4" sec-type="section"> <title>Conclusion:</title> <p>The observed Glu and Gln signal discrimination makes these techniques suitable for investigating a variety of psychiatric disorders. Intra‐ and inter‐subject metabolite level reproducibility was comparable to the existing literature findings. These data serve as a valuable benchmark for assessing future modifications to 2D <sup>1</sup>H MRS data acquisition and ProFit analysis. J. Magn. Reson. Imaging 2013;37:642–651. © 2012 Wiley Periodicals, Inc.</p> </sec> </abstract> … (more)
- Is Part Of:
- Journal of magnetic resonance imaging. Volume 37:Issue 3(2013)
- Journal:
- Journal of magnetic resonance imaging
- Issue:
- Volume 37:Issue 3(2013)
- Issue Display:
- Volume 37, Issue 3 (2013)
- Year:
- 2013
- Volume:
- 37
- Issue:
- 3
- Issue Sort Value:
- 2013-0037-0003-0000
- Page Start:
- 642
- Page End:
- 651
- Publication Date:
- 2012-10-10
- Subjects:
- Magnetic resonance imaging -- Periodicals
616 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2586 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jmri.23848 ↗
- Languages:
- English
- ISSNs:
- 1053-1807
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5010.791000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3239.xml