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Hong S, Tomar JS, Shen J. Metabolic coupling between glutamate and N-acetylaspartate in the human brain. J Cereb Blood Flow Metab 2024; 44:1608-1617. [PMID: 38483126 DOI: 10.1177/0271678x241239783] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/06/2024]
Abstract
A metabolic coupling between glutamate and N-acetylaspartate measured by in vivo magnetic resonance spectroscopy has been recently reported in the literature with inconsistent findings. In this study, confounders originating from Pearson's spurious correlation of ratios and spectral correlation due to overlapping magnetic resonance spectroscopy signals of glutamate and N-acetylaspartate were practically eliminated to facilitate the determination of any metabolic link between glutamate and N-acetylaspartate in the human brain using in vivo magnetic resonance spectroscopy. In both occipital and medial prefrontal cortices of healthy individuals, correlations between glutamate and N-acetylaspartate were found to be insignificant. Our results do not lend support to a recent hypothesis that N-acetylaspartate serves as a significant reservoir for the rapid replenishment of glutamate during signaling or stress.
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Affiliation(s)
- Sungtak Hong
- Section on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - Jyoti Singh Tomar
- Section on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - Jun Shen
- Section on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
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2
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Characterizing cerebral metabolite profiles in anorexia and bulimia nervosa and their associations with habitual behavior. Transl Psychiatry 2022; 12:103. [PMID: 35292626 PMCID: PMC8924163 DOI: 10.1038/s41398-022-01872-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 02/21/2022] [Accepted: 02/24/2022] [Indexed: 02/04/2023] Open
Abstract
Anorexia nervosa (AN) and bulimia nervosa (BN) are associated with altered brain structure and function, as well as increased habitual behavior. This neurobehavioral profile may implicate neurochemical changes in the pathogenesis of these illnesses. Altered glutamate, myo-inositol and N-acetyl aspartate (NAA) concentrations are reported in restrictive AN, yet whether these extend to binge-eating disorders, or relate to habitual traits in affected individuals, remains unknown. We therefore used single-voxel proton magnetic resonance spectroscopy to measure glutamate, myo-inositol, and NAA in the right inferior lateral prefrontal cortex and the right occipital cortex of 85 women [n = 22 AN (binge-eating/purging subtype; AN-BP), n = 33 BN, n = 30 controls]. To index habitual behavior, participants performed an instrumental learning task and completed the Creature of Habit Scale. Women with AN-BP, but not BN, had reduced myo-inositol and NAA concentrations relative to controls in both regions. Although patient groups had intact instrumental learning task performance, both groups reported increased routine behaviors compared to controls, and automaticity was related to reduced prefrontal glutamate and NAA participants with AN-BP. Our findings extend previous reports of reduced myo-inositol and NAA levels in restrictive AN to AN-BP, which may reflect disrupted axonal-glial signaling. Although we found inconsistent support for increased habitual behavior in AN-BP and BN, we identified preliminary associations between prefrontal metabolites and automaticity in AN-BP. These results provide further evidence of unique neurobiological profiles across binge-eating disorders.
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3
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Strauss SB, Meng A, Ebani EJ, Chiang GC. Imaging Glioblastoma Posttreatment: Progression, Pseudoprogression, Pseudoresponse, Radiation Necrosis. Neuroimaging Clin N Am 2021; 31:103-120. [PMID: 33220823 DOI: 10.1016/j.nic.2020.09.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Radiographic monitoring of posttreatment glioblastoma is important for clinical trials and determining next steps in management. Evaluation for tumor progression is confounded by the presence of treatment-related radiographic changes, making a definitive determination less straight-forward. The purpose of this article was to describe imaging tools available for assessing treatment response in glioblastoma, as well as to highlight the definitions, pathophysiology, and imaging features typical of true progression, pseudoprogression, pseudoresponse, and radiation necrosis.
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Affiliation(s)
- Sara B Strauss
- Department of Radiology, Weill Cornell Medical Center, 525 East 68th Street, Box 141, New York, NY 10065, USA
| | - Alicia Meng
- Department of Radiology, Weill Cornell Medical Center, 525 East 68th Street, Box 141, New York, NY 10065, USA
| | - Edward J Ebani
- Department of Radiology, Weill Cornell Medical Center, 525 East 68th Street, Box 141, New York, NY 10065, USA
| | - Gloria C Chiang
- Department of Radiology, Weill Cornell Medical Center, 525 East 68th Street, Box 141, New York, NY 10065, USA.
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4
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Gonen OM, Moffat BA, Kwan P, O’Brien TJ, Desmond PM, Lui E. Resting-state functional connectivity and quantitation of glutamate and GABA of the PCC/precuneus by magnetic resonance spectroscopy at 7T in healthy individuals. PLoS One 2020; 15:e0244491. [PMID: 33373387 PMCID: PMC7771854 DOI: 10.1371/journal.pone.0244491] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 12/10/2020] [Indexed: 12/15/2022] Open
Abstract
The default mode network (DMN) is the main large-scale network of the resting brain and the PCC/precuneus is a major hub of this network. Glutamate and GABA (γ-amino butyric acid) are the main excitatory and inhibitory neurotransmitters in the CNS, respectively. We studied glutamate and GABA concentrations in the PCC/precuneus via magnetic resonance spectroscopy (MRS) at 7T in relation to age and correlated them with functional connectivity between this region and other DMN nodes in ten healthy right-handed volunteers ranging in age between 23–68 years. Mean functional connectivity of the PCC/precuneus to the other DMN nodes and the glutamate/GABA ratio significantly correlated with age (r = 0.802, p = 0.005 and r = 0.793, p = 0.006, respectively) but not with each other. Glutamate and GABA alone did not significantly correlate with age nor with functional connectivity within the DMN. The glutamate/GABA ratio and functional connectivity of the PCC/precuneus are, therefore, independent age-related biomarkers of the DMN and may be combined in a multimodal pipeline to study DMN alterations in various disease states.
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Affiliation(s)
- Ofer M. Gonen
- Department of Neurology, The Royal Melbourne Hospital, Victoria, Australia
- Department of Medicine and Radiology, The University of Melbourne, Victoria, Australia
- Department of Neurology, The Alfred Hospital, Victoria, Australia
- * E-mail:
| | - Bradford A. Moffat
- Department of Medicine and Radiology, The University of Melbourne, Victoria, Australia
| | - Patrick Kwan
- Department of Neurology, The Royal Melbourne Hospital, Victoria, Australia
- Department of Medicine and Radiology, The University of Melbourne, Victoria, Australia
- Department of Neurology, The Alfred Hospital, Victoria, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Victoria, Australia
| | - Terence J. O’Brien
- Department of Neurology, The Royal Melbourne Hospital, Victoria, Australia
- Department of Medicine and Radiology, The University of Melbourne, Victoria, Australia
- Department of Neurology, The Alfred Hospital, Victoria, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Victoria, Australia
| | - Patricia M. Desmond
- Department of Medicine and Radiology, The University of Melbourne, Victoria, Australia
- Department of Radiology, The Royal Melbourne Hospital, Victoria, Australia
| | - Elaine Lui
- Department of Medicine and Radiology, The University of Melbourne, Victoria, Australia
- Department of Radiology, The Royal Melbourne Hospital, Victoria, Australia
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5
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Gonen OM, Moffat BA, Desmond PM, Lui E, Kwan P, O’Brien TJ. Seven‐tesla quantitative magnetic resonance spectroscopy of glutamate, γ‐aminobutyric acid, and glutathione in the posterior cingulate cortex/precuneus in patients with epilepsy. Epilepsia 2020; 61:2785-2794. [DOI: 10.1111/epi.16731] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 09/26/2020] [Accepted: 09/26/2020] [Indexed: 12/13/2022]
Affiliation(s)
- Ofer M. Gonen
- Department of Neurology Royal Melbourne Hospital Parkville Victoria Australia
- Department of Medicine and Radiology University of Melbourne Parkville Victoria Australia
- Department of Neurology Alfred Hospital Melbourne Victoria Australia
| | - Bradford A. Moffat
- Department of Medicine and Radiology University of Melbourne Parkville Victoria Australia
| | - Patricia M. Desmond
- Department of Medicine and Radiology University of Melbourne Parkville Victoria Australia
- Department of Radiology Royal Melbourne Hospital Parkville Victoria Australia
| | - Elaine Lui
- Department of Medicine and Radiology University of Melbourne Parkville Victoria Australia
- Department of Radiology Royal Melbourne Hospital Parkville Victoria Australia
| | - Patrick Kwan
- Department of Neurology Royal Melbourne Hospital Parkville Victoria Australia
- Department of Medicine and Radiology University of Melbourne Parkville Victoria Australia
- Department of Neurology Alfred Hospital Melbourne Victoria Australia
- Department of Neuroscience Central Clinical School Monash University Melbourne Victoria Australia
| | - Terence J. O’Brien
- Department of Neurology Royal Melbourne Hospital Parkville Victoria Australia
- Department of Medicine and Radiology University of Melbourne Parkville Victoria Australia
- Department of Neurology Alfred Hospital Melbourne Victoria Australia
- Department of Neuroscience Central Clinical School Monash University Melbourne Victoria Australia
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6
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Gonen OM, Moffat BA, Kwan P, O'Brien TJ, Desmond PM, Lui E. Reproducibility of Glutamate, Glutathione, and GABA Measurements in vivo by Single-Voxel STEAM Magnetic Resonance Spectroscopy at 7-Tesla in Healthy Individuals. Front Neurosci 2020; 14:566643. [PMID: 33041761 PMCID: PMC7522573 DOI: 10.3389/fnins.2020.566643] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 08/21/2020] [Indexed: 01/20/2023] Open
Abstract
Background and Purpose Derangements in brain glutamate, glutathione, and γ-amino butyric acid (GABA) are implicated in a range of neurological disorders. Reliable methods to measure these compounds non-invasively in vivo are needed. We evaluated the reproducibility of their measurements in brain regions involved in the default mode network using quantitative MRS at 7-Tesla in healthy individuals. Methods Ten right-handed healthy volunteers underwent 7-Tesla MRI scans on 2 separate days, not more than 2 weeks apart. On each day two scanning sessions took place, with a re-positioning break in between. High-resolution isotropic anatomical scans were acquired prior to each scan, followed by single-voxel 1H-MRS using the STEAM pulse sequence on an 8 mL midline cubic voxel, positioned over the posterior cingulate and precuneus regions. Concentrations were corrected for partial-volume effects. Results Maximal Cramér-Rao lower bounds for glutamate, glutathione, and GABA were 2.0, 8.0, and 14.0%, respectively. Mean coefficients of variation within sessions were 5.9 ± 4.8%, 9.3 ± 7.6%, and 11.5 ± 8.8%, and between sessions were 4.6 ± 4.5%, 8.3 ± 5.7%, and 9.2 ± 8.7%, respectively. The mean (±SD) Dice’s coefficient for voxel overlap was 90 ± 4% within sessions and 86 ± 7% between sessions. Conclusion Glutamate, glutathione, and GABA can be reliably quantified using STEAM MRS at 7-Tesla from the posterior cingulate and precuneus cortices of healthy human subjects. STEAM MRS at 7-Tesla may be used to study the metabolic behavior of this important resting-state hub in various disease states.
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Affiliation(s)
- Ofer M Gonen
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia.,Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia.,Department of Neurology, The Alfred Hospital, Melbourne, VIC, Australia
| | - Bradford A Moffat
- Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia
| | - Patrick Kwan
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia.,Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia.,Department of Neurology, The Alfred Hospital, Melbourne, VIC, Australia.,Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Terence J O'Brien
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia.,Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia.,Department of Neurology, The Alfred Hospital, Melbourne, VIC, Australia.,Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Patricia M Desmond
- Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia.,Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Elaine Lui
- Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia.,Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
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7
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Truong V, Duncan NW. Suggestions for improving the visualization of magnetic resonance spectroscopy voxels and spectra. ROYAL SOCIETY OPEN SCIENCE 2020; 7:200600. [PMID: 32968522 PMCID: PMC7481722 DOI: 10.1098/rsos.200600] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 07/13/2020] [Indexed: 05/10/2023]
Abstract
Magnetic resonance spectroscopy (MRS) has seen an increase in popularity as a method for studying the human brain. This approach is dependent on voxel localization and spectral quality, knowledge of which are essential for judging the validity and robustness of any analysis. As such, visualization plays a central role in appropriately communicating MRS studies. The quality of data visualization has been shown to be poor in a number of biomedical fields and so we sought to appraise this in MRS papers. To do this, we conducted a survey of the psychiatric single-voxel MRS literature. This revealed a generally low standard, with a significant proportion of papers not providing the voxel location and spectral quality information required to judge their validity or replicate the experiment. Based on this, we then present a series of suggestions for a minimal standard for MRS data visualization. The primary point of these is that both voxel location and MRS spectra be presented from all participants. Participant group membership should be indicated where more than one is included in the experiment (e.g. patients and controls). A set of suggested figure layouts that fulfil these requirements are presented with sample code provided to produce these (github.com/nwd2918/MRS-voxel-plot).
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Affiliation(s)
- Vuong Truong
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
- Brain and Consciousness Research Centre, TMU-ShuangHo Hospital, New Taipei City, Taiwan
| | - Niall W. Duncan
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
- Brain and Consciousness Research Centre, TMU-ShuangHo Hospital, New Taipei City, Taiwan
- Author for correspondence: Niall W. Duncan e-mail:
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8
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Strauss SB, Meng A, Ebani EJ, Chiang GC. Imaging Glioblastoma Posttreatment: Progression, Pseudoprogression, Pseudoresponse, Radiation Necrosis. Radiol Clin North Am 2019; 57:1199-1216. [PMID: 31582045 DOI: 10.1016/j.rcl.2019.07.003] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Radiographic monitoring of posttreatment glioblastoma is important for clinical trials and determining next steps in management. Evaluation for tumor progression is confounded by the presence of treatment-related radiographic changes, making a definitive determination less straight-forward. The purpose of this article was to describe imaging tools available for assessing treatment response in glioblastoma, as well as to highlight the definitions, pathophysiology, and imaging features typical of true progression, pseudoprogression, pseudoresponse, and radiation necrosis.
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Affiliation(s)
- Sara B Strauss
- Department of Radiology, Weill Cornell Medical Center, 525 East 68th Street, Box 141, New York, NY 10065, USA
| | - Alicia Meng
- Department of Radiology, Weill Cornell Medical Center, 525 East 68th Street, Box 141, New York, NY 10065, USA
| | - Edward J Ebani
- Department of Radiology, Weill Cornell Medical Center, 525 East 68th Street, Box 141, New York, NY 10065, USA
| | - Gloria C Chiang
- Department of Radiology, Weill Cornell Medical Center, 525 East 68th Street, Box 141, New York, NY 10065, USA.
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9
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Benveniste H, Dienel G, Jacob Z, Lee H, Makaryus R, Gjedde A, Hyder F, Rothman DL. Trajectories of Brain Lactate and Re-visited Oxygen-Glucose Index Calculations Do Not Support Elevated Non-oxidative Metabolism of Glucose Across Childhood. Front Neurosci 2018; 12:631. [PMID: 30254563 PMCID: PMC6141825 DOI: 10.3389/fnins.2018.00631] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 08/22/2018] [Indexed: 11/16/2022] Open
Abstract
Brain growth across childhood is a dynamic process associated with specific energy requirements. A disproportionately higher rate of glucose utilization (CMRglucose) compared with oxygen consumption (CMRO2) was documented in children's brain and suggestive of non-oxidative metabolism of glucose. Several candidate metabolic pathways may explain the CMRglucose-CMRO2 mismatch, and lactate production is considered a major contender. The ~33% excess CMRglucose equals 0.18 μmol glucose/g/min and predicts lactate release of 0.36 μmol/g/min. To validate such scenario, we measured the brain lactate concentration ([Lac]) in 65 children to determine if indeed lactate accumulates and is high enough to (1) account for the glucose consumed in excess of oxygen and (2) support a high rate of lactate efflux from the young brain. Across childhood, brain [Lac] was lower than predicted, and below the range for adult brain. In addition, we re-calculated the CMRglucose-CMRO2 mismatch itself by using updated lumped constant values. The calculated cerebral metabolic rate of lactate indicated a net influx of 0.04 μmol/g/min, or in terms of CMRglucose, of 0.02 μmol glucose/g/min. Accumulation of [Lac] and calculated efflux of lactate from brain are not consistent with the increase in non-oxidative metabolism of glucose. In addition, the value for the lumped constant for [18F]fluorodeoxyglucose has a high impact on calculated CMRglucose and use of updated values alters or eliminates the CMRglucose-CMRO2 mismatch in developing brain. We conclude that the presently-accepted notion of non-oxidative metabolism of glucose during childhood must be revisited and deserves further investigations.
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Affiliation(s)
- Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, Yale University, New Haven, CT, United States
| | - Gerald Dienel
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.,Department of Cell Biology and Physiology, University of New Mexico, Albuquerque, NM, United States
| | - Zvi Jacob
- Department of Anesthesiology, Stony Brook University, Stony Brook, NY, United States
| | - Hedok Lee
- Department of Anesthesiology, Yale School of Medicine, Yale University, New Haven, CT, United States
| | - Rany Makaryus
- Department of Anesthesiology, Stony Brook University, Stony Brook, NY, United States
| | - Albert Gjedde
- Department of Translational Neurobiology, University of Southern Denmark, Odense, Denmark
| | - Fahmeed Hyder
- Department of Biomedical Engineering & Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT, United States
| | - Douglas L Rothman
- Department of Biomedical Engineering & Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT, United States
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10
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Woodcock EA, Arshad M, Khatib D, Stanley JA. Automated Voxel Placement: A Linux-based Suite of Tools for Accurate and Reliable Single Voxel Coregistration. ACTA ACUST UNITED AC 2018; 3:1-8. [PMID: 29911203 PMCID: PMC5998677 DOI: 10.17756/jnpn.2018-020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Single-voxel proton magnetic resonance spectroscopy (1H
MRS) is a powerful technique for studying in vivo
neurochemistry, but has an often-overlooked source of error variance:
inconsistent voxel placement between scans. We developed and evaluated an
Automated Voxel Placement (AVP) procedure for accurate and reliable
1H MRS voxel prescription. AVP is a suite of Linux-based
programs that facilitate automated template-driven single-voxel
coregistration. Methods Three studies were conducted to evaluate AVP for prescription of one
voxel: left dorsolateral prefrontal cortex. First, we evaluated how robust
AVP was to ‘extreme’ subject head positions/angulations
within the scanner head coil. Second, subjects (N = 13) were
recruited and underwent MR scans. Manual voxel prescription (n = 5)
was contrasted with AVP (n = 8). A subset of AVP subjects (n
= 4) completed a second scan. Third, ongoing data collection (n
= 16; recruited for a separate study) helped evaluate AVP. Voxel
placement accuracy was quantified as 3D geometric voxel overlap percentage
between each subject’s voxel and the template voxel. Reliability was
quantified as 3D geometric voxel overlap percentage across subjects at each
time point and within subjects who completed two scans. Results Results demonstrated that AVP was robust to ‘extreme’
head positions (97.5% - 97.9% overlap with the template
voxel). AVP was significantly more accurate (baseline and follow-up:
96.2% ± 3.0% and 97.6% ±
1.4% overlap) than manual voxel placement (67.7% ±
22.8% overlap; ps<.05). AVP was reliable
within- (97.9%) and between-subjects (94.2% and
97.2% overlap; baseline and follow-up; respectively). Finally,
ongoing data collection indicates AVP is accurate (96.0%). Conclusion These pilot studies demonstrated that AVP was feasible, accurate, and
reliable method for automated single voxel coregistration.
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Affiliation(s)
- Eric A Woodcock
- Brain Imaging Research Division, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Muzamil Arshad
- Brain Imaging Research Division, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Dalal Khatib
- Brain Imaging Research Division, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Jeffrey A Stanley
- Brain Imaging Research Division, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI 48201, USA
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11
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Psychostimulant drug effects on glutamate, Glx, and creatine in the anterior cingulate cortex and subjective response in healthy humans. Neuropsychopharmacology 2018; 43:1498-1509. [PMID: 29511334 PMCID: PMC5983539 DOI: 10.1038/s41386-018-0027-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 01/19/2018] [Accepted: 02/01/2018] [Indexed: 12/11/2022]
Abstract
Prescription psychostimulants produce rapid changes in mood, energy, and attention. These drugs are widely used and abused. However, their effects in human neocortex on glutamate and glutamine (pooled as Glx), and key neurometabolites such as N-acetylaspartate (tNAA), creatine (tCr), choline (Cho), and myo-inositol (Ins) are poorly understood. Changes in these compounds could inform the mechanism of action of psychostimulant drugs and their abuse potential in humans. We investigated the acute impact of two FDA-approved psychostimulant drugs on neurometabolites using magnetic resonance spectroscopy (1H MRS). Single clinically relevant doses of d-amphetamine (AMP, 20 mg oral), methamphetamine (MA, 20 mg oral; Desoxyn®), or placebo were administered to healthy participants (n = 26) on three separate test days in a placebo-controlled, double-blinded, within-subjects crossover design. Each participant experienced all three conditions and thus served as his/her own control. 1H MRS was conducted in the dorsal anterior cingulate cortex (dACC), an integrative neocortical hub, during the peak period of drug responses (140-150 m post ingestion). D-amphetamine increased the level of Glu (p = .0001), Glx (p = .003), and tCr (p = .0067) in the dACC. Methamphetamine increased Glu in females, producing a significant crossover interaction pattern with gender (p = .02). Drug effects on Glu, tCr, and Glx were positively correlated with subjective drug responses, predicting both the duration of AMP liking (Glu: r = +.49, p = .02; tCr: r = +.41, p = .047) and the magnitude of peak drug high to MA (Glu: r = +.52, p = .016; Glx: r = +.42, p = .049). Neither drug affected the levels of tNAA, Cho, or Ins after correction for multiple comparisons. We conclude that d-amphetamine increased the concentration of glutamate, Glx, and tCr in the dACC in male and female volunteers 21/2 hours after drug consumption. There was evidence that methamphetamine differentially affects dACC Glu levels in women and men. These findings provide the first experimental evidence that specific psychostimulants increase the level of glutamatergic compounds in the human brain, and that glutamatergic changes predict the extent and magnitude of subjective responses to psychostimulants.
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12
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The impact of acute and short-term methamphetamine abstinence on brain metabolites: A proton magnetic resonance spectroscopy chemical shift imaging study. Drug Alcohol Depend 2018; 185:226-237. [PMID: 29471227 DOI: 10.1016/j.drugalcdep.2017.11.029] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 11/30/2017] [Accepted: 11/30/2017] [Indexed: 12/29/2022]
Abstract
BACKGROUND Abuse of methamphetamine (MA) is a global health concern. Previous 1H-MRS studies have found that, with methamphetamine abstinence (MAA), there are changes in n-acetyl-aspartate (NAA/Cr), myo-inositol (mI/Cr), choline (Cho/Cr and Cho/NAA), and glutamate with glutamine (Glx) metabolites. Limited studies have investigated the effect of acute MAA, and acute-to-short-term MAA on brain metabolites. METHODS Adults with chronic MA dependence (n = 31) and healthy controls (n = 22) were recruited. Two-dimensional chemical shift 1H-MRS imaging (TR2000 ms, TE30 ms) slice was performed and included voxels in bilateral anterior-cingulate (ACC), frontal-white-matter (FWM), and dorsolateral-prefrontal-cortices (DLPFC). Control participants were scanned once. The MA group was scanned twice, with acute (1.5 ± 0.6 weeks, n = 31) and short-term MAA (5.1 ± 0.8 weeks, n = 22). The change in 1H-MRS metabolites over time (n = 19) was also investigated. Standard 1H-MRS metabolites are reported relative to Cr + PCr. RESULTS Acute MAA showed lower n-acetyl-aspartate (NAA) and n-acetyl-aspartate with n-acetyl-aspartyl-glutamate (NAA + NAAG) in left DLPFC, and glycerophosphocholine with phosphocholine (GPC + PCh) in left FWM. Short-term MAA showed lower NAA + NAAG and higher myo-inositol (mI) in right ACC, lower NAA and NAA + NAAG in the left DLPFC, and lower GPC + PCh in left FWM. Over time, MAA showed decreased NAA and NAA + NAAG and increased mI in right ACC, decreased NAA and NAA + NAAG in right FWM, and decreased in mI in left FWM. CONCLUSION In acute MAA, there was damage to the integrity of neuronal tissue, which was enhanced with short-term MAA. From acute to short-term MAA, activation of neuroinflammatory processes are suggested. This is the first 1H-MRS study to report the development of neuroinflammation with loss of neuronal integrity in MAA.
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13
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Bai X, Harris AD, Gong T, Puts NAJ, Wang G, Schär M, Barker PB, Edden RAE. Voxel Placement Precision for GABA-Edited Magnetic Resonance Spectroscopy. ACTA ACUST UNITED AC 2017; 7:35-44. [PMID: 28690923 PMCID: PMC5497851 DOI: 10.4236/ojrad.2017.71004] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The purpose of the present study was to assess the reproducibility of voxel placement for GABA-edited MRS. GABA-edited MRS data were acquired in 13 healthy volunteers from (3 cm)3 voxel; and within the same session a second acquisition was independently prescribed. A three-dimensional voxel mask image was reconstructed in T1-image-space using the SVMask tool (in house software). Reproducibility of voxel placement was assessed using the Dice overlap coefficient, both within-subject and between-subject following co-registration of T1 images and transformation of voxel mask images to standard space. Within-subject overlap coefficients were 86% ± 5%. Between-subject overlap coefficients were 75% ± 10%. For the two voxel locations considered (occipital and sensorimotor), voxel overlap was very similar. Between-subject values are higher due to between-session effects, anatomical variability and volume mismatch in standard space. While surprisingly low in terms of volume overlap, the overlap coefficients correspond to acceptable linear displacements.
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Affiliation(s)
- Xue Bai
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, China
| | - Ashley D Harris
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Tao Gong
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.,Department of MR, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Nicolaas A J Puts
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Guangbin Wang
- Department of MR, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Michael Schär
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter B Barker
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
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14
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Kanaan AS, Gerasch S, García-García I, Lampe L, Pampel A, Anwander A, Near J, Möller HE, Müller-Vahl K. Pathological glutamatergic neurotransmission in Gilles de la Tourette syndrome. Brain 2016; 140:218-234. [DOI: 10.1093/brain/aww285] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 07/31/2016] [Accepted: 09/12/2016] [Indexed: 11/13/2022] Open
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15
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Quadrelli S, Mountford C, Ramadan S. Hitchhiker's Guide to Voxel Segmentation for Partial Volume Correction of In Vivo Magnetic Resonance Spectroscopy. MAGNETIC RESONANCE INSIGHTS 2016; 9:1-8. [PMID: 27147822 PMCID: PMC4849426 DOI: 10.4137/mri.s32903] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Revised: 03/08/2016] [Accepted: 03/13/2016] [Indexed: 12/24/2022]
Abstract
Partial volume effects have the potential to cause inaccuracies when quantifying metabolites using proton magnetic resonance spectroscopy (MRS). In order to correct for cerebrospinal fluid content, a spectroscopic voxel needs to be segmented according to different tissue contents. This article aims to detail how automated partial volume segmentation can be undertaken and provides a software framework for researchers to develop their own tools. While many studies have detailed the impact of partial volume correction on proton magnetic resonance spectroscopy quantification, there is a paucity of literature explaining how voxel segmentation can be achieved using freely available neuroimaging packages.
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Affiliation(s)
- Scott Quadrelli
- Faculty of Health, School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, Australia; Faculty of Health and Medicine, School of Health Sciences, The University of Newcastle, Callaghan, NSW, Australia; Translational Research Institute, Woolloongabba, QLD, Australia
| | | | - Saadallah Ramadan
- Faculty of Health and Medicine, School of Health Sciences, The University of Newcastle, Callaghan, NSW, Australia
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16
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Kazda T, Bulik M, Pospisil P, Lakomy R, Smrcka M, Slampa P, Jancalek R. Advanced MRI increases the diagnostic accuracy of recurrent glioblastoma: Single institution thresholds and validation of MR spectroscopy and diffusion weighted MR imaging. NEUROIMAGE-CLINICAL 2016; 11:316-321. [PMID: 27298760 PMCID: PMC4893011 DOI: 10.1016/j.nicl.2016.02.016] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 02/14/2016] [Accepted: 02/22/2016] [Indexed: 01/08/2023]
Abstract
The accurate identification of glioblastoma progression remains an unmet clinical need. The aim of this prospective single-institutional study is to determine and validate thresholds for the main metabolite concentrations obtained by MR spectroscopy (MRS) and the values of the apparent diffusion coefficient (ADC) to enable distinguishing tumor recurrence from pseudoprogression. Thirty-nine patients after the standard treatment of a glioblastoma underwent advanced imaging by MRS and ADC at the time of suspected recurrence — median time to progression was 6.7 months. The highest significant sensitivity and specificity to call the glioblastoma recurrence was observed for the total choline (tCho) to total N-acetylaspartate (tNAA) concentration ratio with the threshold ≥ 1.3 (sensitivity 100.0% and specificity 94.7%). The ADCmean value higher than 1313 × 10− 6 mm2/s was associated with the pseudoprogression (sensitivity 98.3%, specificity 100.0%). The combination of MRS focused on the tCho/tNAA concentration ratio and the ADCmean value represents imaging methods applicable to early non-invasive differentiation between a glioblastoma recurrence and a pseudoprogression. However, the institutional definition and validation of thresholds for differential diagnostics is needed for the elimination of setup errors before implementation of these multimodal imaging techniques into clinical practice, as well as into clinical trials. For an effective salvage treatment, an accurate diagnosis of GBM recurrence is essential. The standard structural MRI has limited sensitivity and specificity to distinguish GBM progression. GBM recurrence is characterized by the ADCmean value ≤ 1313 × 10− 6 mm2/s and the tCho/tNAA ratio ≥ 1.3. An institutional definition of thresholds is needed, if advanced imaging should be used accurately in clinical practice.
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Affiliation(s)
- Tomas Kazda
- International Clinical Research Center, St. Anne's University Hospital Brno, 656 91 Brno, Czech Republic; Department of Radiation Oncology, Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic; Department of Radiation Oncology, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic
| | - Martin Bulik
- International Clinical Research Center, St. Anne's University Hospital Brno, 656 91 Brno, Czech Republic; Department of Diagnostic Imaging, Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic; Department of Diagnostic Imaging, St. Anne's University Hospital Brno, 656 91 Brno, Czech Republic
| | - Petr Pospisil
- Department of Radiation Oncology, Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic; Department of Radiation Oncology, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic
| | - Radek Lakomy
- Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic; Department of Comprehensive Cancer Care, Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic
| | - Martin Smrcka
- Department of Neurosurgery, University Hospital Brno, Brno 625 00, Czech Republic
| | - Pavel Slampa
- Department of Radiation Oncology, Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic; Department of Radiation Oncology, Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic
| | - Radim Jancalek
- Department of Neurosurgery, St. Anne's University Hospital Brno, Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic; Department of Neurosurgery, St. Anne's University Hospital Brno, 656 91 Brno, Czech Republic.
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17
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Tsai SY, Wang WC, Lin YR. Comparison of sagittal and transverse echo planar spectroscopic imaging on the quantification of brain metabolites. J Neuroimaging 2014; 25:167-174. [PMID: 24593139 DOI: 10.1111/jon.12087] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Revised: 11/25/2013] [Accepted: 12/06/2013] [Indexed: 11/29/2022] Open
Abstract
PURPOSE We quantitatively compared sagittal and transverse echo planar spectroscopic imaging (EPSI) on the quantification of metabolite concentrations with consideration of tissue variation. A quantification strategy is proposed to collect the necessary information for quantification of concentrations in a minimized acquisition time. METHODS Six transverse and six sagittal EPSI data were collected on healthy volunteers. Metabolite concentrations of N-acetyl-aspartate (NAA), total creatine (tCr), total choline (tCho), myo-inositol (mI), and glutamate and glutamine complex (Glx) were quantified using water scaling with partial volume and relaxation correction. Linear regression analysis was performed to extract concentrations in gray matter (GM) and white matter (WM). The inter- and intrasubject coefficients of variance (CV) were estimated. RESULTS Concentrations and fitting errors of sagittal and transverse EPSI were at same level. GM to WM contrast of concentrations was found in NAA, tCr, and tCho. The intersubject CVs revealed greater variability in the sagittal EPSI than in the transverse EPSI. The intrasubject CVs of the transverse EPSI were below 5% for NAA, tCr, and tCho. CONCLUSION We showed that quantified concentrations of sagittal and transverse EPSI after partial volume correction are comparable and reproducible. The proposed quantification strategy can be conveniently adapted into various MRI protocols.
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Affiliation(s)
- Shang-Yueh Tsai
- Graduate Institute of Applied Physics, National Chengchi University, Taipei, Taiwan.,Mind, Brain and Learning Center, National Chengchi University, Taipei, Taiwan
| | - Woan-Chyi Wang
- Graduate Institute of Applied Physics, National Chengchi University, Taipei, Taiwan
| | - Yi-Ru Lin
- Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
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