351
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Differential Contributions of GABA Concentration in Frontal and Parietal Regions to Individual Differences in Attentional Blink. J Neurosci 2017; 36:8895-901. [PMID: 27559171 DOI: 10.1523/jneurosci.0764-16.2016] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 07/07/2016] [Indexed: 11/21/2022] Open
Abstract
UNLABELLED Selective attention plays an important role in identifying transient objects in a complex visual scene. Attentional control ability varies with observers. However, it is unclear what neural mechanisms are responsible for individual differences in attentional control ability. The present study used the following attentional blink paradigm: when two targets are to be identified in rapid serial visual presentation, the processing of the first target interrupts the identification of the second one appearing within 500 ms after the first-target onset. It has been assumed that the reduction of the second-target accuracy is mainly due to a transient inhibition of attentional reorienting from the first to the second target, which is modulated by the GABA system. Using magnetic resonance spectroscopy, we investigated whether individual variation of attentional blink magnitude is associated with GABA concentrations in the left prefrontal cortex (PFC), right posterior-parietal cortex (PPC), and visual cortex (VC) of humans. GABA concentrations in the PFC were related negatively to attentional blink magnitude and positively to the first-target accuracy. GABA concentrations in the PPC were positively correlated with attentional blink magnitude. However, GABA concentrations in the VC did not contribute to attentional blink magnitude and first-target accuracy. Our results suggest that frontoparietal inhibitory mechanisms are closely linked with individual differences in attentional processing and that functional roles of the GABAergic system in selective attention differ between the PFC and PPC. SIGNIFICANCE STATEMENT Selective attention is the process of picking up task-relevant information in the environment. Attentional blink reflects time constraints of visual attention. It has been assumed that attentional blink is induced by the inhibition of attentional reorienting to other objects. This study used magnetic resonance spectroscopy to noninvasively measure concentrations of GABA, the principal inhibitory neurotransmitter, in the human brain. We show that a neural interaction between GABA concentrations in the prefrontal and posterior parietal regions accounts for the interindividual variability of attentional blink magnitude. Our results provide direct evidence that the GABAergic system in the frontoparietal networks is responsible for temporal aspects of attentional control ability.
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352
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Bogner W, Hangel G, Esmaeili M, Andronesi OC. 1D-spectral editing and 2D multispectral in vivo 1H-MRS and 1H-MRSI - Methods and applications. Anal Biochem 2017; 529:48-64. [PMID: 28034791 DOI: 10.1016/j.ab.2016.12.020] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 12/16/2016] [Accepted: 12/23/2016] [Indexed: 12/27/2022]
Abstract
This article reviews the methodological aspects of detecting low-abundant J-coupled metabolites via 1D spectral editing techniques and 2D nuclear magnetic resonance (NMR) methods applied in vivo, in humans, with a focus on the brain. A brief explanation of the basics of J-evolution will be followed by an introduction to 1D spectral editing techniques (e.g., J-difference editing, multiple quantum coherence filtering) and 2D-NMR methods (e.g., correlation spectroscopy, J-resolved spectroscopy). Established and recently developed methods will be discussed and the most commonly edited J-coupled metabolites (e.g., neurotransmitters, antioxidants, onco-markers, and markers for metabolic processes) will be briefly summarized along with their most important applications in neuroscience and clinical diagnosis.
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Affiliation(s)
- Wolfgang Bogner
- High-Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria.
| | - Gilbert Hangel
- High-Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria.
| | - Morteza Esmaeili
- Department of Circulation and Medical Imaging, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
| | - Ovidiu C Andronesi
- Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
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353
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Brown HDH, Woodall RL, Kitching RE, Baseler HA, Morland AB. Using magnetic resonance imaging to assess visual deficits: a review. Ophthalmic Physiol Opt 2017; 36:240-65. [PMID: 27112223 PMCID: PMC4855621 DOI: 10.1111/opo.12293] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Accepted: 02/15/2016] [Indexed: 01/25/2023]
Abstract
Purpose Over the last two decades, magnetic resonance imaging (MRI) has been widely used in neuroscience research to assess both structure and function in the brain in health and disease. With regard to vision research, prior to the advent of MRI, researchers relied on animal physiology and human post‐mortem work to assess the impact of eye disease on visual cortex and connecting structures. Using MRI, researchers can non‐invasively examine the effects of eye disease on the whole visual pathway, including the lateral geniculate nucleus, striate and extrastriate cortex. This review aims to summarise research using MRI to investigate structural, chemical and functional effects of eye diseases, including: macular degeneration, retinitis pigmentosa, glaucoma, albinism, and amblyopia. Recent Findings Structural MRI has demonstrated significant abnormalities within both grey and white matter densities across both visual and non‐visual areas. Functional MRI studies have also provided extensive evidence of functional changes throughout the whole of the visual pathway following visual loss, particularly in amblyopia. MR spectroscopy techniques have also revealed several abnormalities in metabolite concentrations in both glaucoma and age‐related macular degeneration. GABA‐edited MR spectroscopy on the other hand has identified possible evidence of plasticity within visual cortex. Summary Collectively, using MRI to investigate the effects on the visual pathway following disease and dysfunction has revealed a rich pattern of results allowing for better characterisation of disease. In the future MRI will likely play an important role in assessing the impact of eye disease on the visual pathway and how it progresses over time.
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Affiliation(s)
| | | | | | - Heidi A Baseler
- Department of Psychology, University of York, York, UK.,Hull York Medical School, University of York, York, UK
| | - Antony B Morland
- Department of Psychology, University of York, York, UK.,Hull York Medical School, University of York, York, UK
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354
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Automatic inhibitory function in the human somatosensory and motor cortices: An MEG-MRS study. Sci Rep 2017; 7:4234. [PMID: 28652623 PMCID: PMC5484662 DOI: 10.1038/s41598-017-04564-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 05/17/2017] [Indexed: 11/27/2022] Open
Abstract
While the automatic inhibitory function of the human cerebral cortex has been extensively investigated by means of electrophysiological recordings, the corresponding modulating neurochemical mechanisms remain unclear. We aimed to examine whether the primary somatosensory (SI) and primary motor cortical (MI) inhibitory function is associated with endogenous GABA levels. Eighteen young participants received paired-pulse and single-pulse electrical stimulation to the median nerve during magnetoencephalographic recordings. The SI sensory gating (SG), considered as an automatic inhibitory ability, was measured as the amplitude ratio of Stimulus 2 over Stimulus 1, in the paired-pulse paradigm. In addition, stimulus-induced beta activity, considered to originate from MI and also to be related to inhibitory function, was estimated using the single-pulse paradigm. The GABA+ concentration of the sensorimotor cortex was acquired from each subject by using magnetic resonance spectroscopy (MRS). A lower SG ratio in SI was significantly associated with an increased beta power in MI. More importantly, the beta rebound power, but not SI SG ratio, was positively correlated with GABA+ concentration. Our findings show a tight functional relationship between SI and MI during processing of automatic inhibition. GABA+ levels appear to be more closely related to the automatic inhibitory function of MI than SI.
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355
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Age-dependent, lasting effects of methylphenidate on the GABAergic system of ADHD patients. NEUROIMAGE-CLINICAL 2017; 15:812-818. [PMID: 28725548 PMCID: PMC5506880 DOI: 10.1016/j.nicl.2017.06.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 05/19/2017] [Accepted: 06/01/2017] [Indexed: 12/14/2022]
Abstract
Stimulants are the main pharmacological treatment for patients with attention-deficit/hyperactivity disorder (ADHD). Their current prescription rates are rising, both in children, adolescents and adults. Related to the impulse control phenotype, both preclinical and clinical studies have demonstrated lower γ-amino butyric acid (GABA) levels in prefrontal brain regions in ADHD. Whereas stimulant treatment increases GABA levels, preclinical studies have suggested that stimulant treatment effects may be age-dependent. As the long-term consequences of stimulant use in ADHD children and adolescents have so far been poorly studied, we used magnetic resonance spectroscopy to assess GABA+ and glutamate + glutamine (Glx) levels in the medial prefrontal cortex (mPFC) of adult ADHD patients, both before and after an oral methylphenidate (MPH) challenge. Three groups were studied: 1) ADHD patients who were first treated with stimulants before 16 years of age, i.e. during periods of ongoing brain development (early-stimulant-treated, EST); 2) patients first treated with stimulants in adulthood (i.e. > 23 years) (late-stimulant-treated, LST), and 3) stimulant-treatment-naive (STN) ADHD patients. Reduced basal GABA+ levels were found in EST compared to LST patients (p = 0.04), while after an MPH challenge, only the EST patients showed significant increases in GABA+ (p = 0.01). For Glx, no differences were found at baseline, nor after an MPH challenge. First stimulant exposure at a young age is thus associated with lower baseline levels of GABA+ and increased responsivity in adulthood. This effect could not be found in patients that started treatment at an adult age. Hence, while adult stimulant treatment seems to exert no major effects on GABA+ levels in the mPFC, MPH may induce long-lasting alterations in the adult mPFC GABAergic system when treatment was started at a young age.
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356
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Sanches M, Abuhaiba SI, d'Almeida OC, Quendera B, Gomes L, Moreno C, Guelho D, Castelo-Branco M. Diabetic brain or retina? Visual psychophysical performance in diabetic patients in relation to GABA levels in occipital cortex. Metab Brain Dis 2017; 32:913-921. [PMID: 28361261 DOI: 10.1007/s11011-017-9986-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 03/03/2017] [Indexed: 10/19/2022]
Abstract
Visual impairment is one of the most feared complications of Type 2 Diabetes Mellitus. Here, we aimed to investigate the role of occipital cortex γ-aminobutyric acid (GABA) as a predictor of visual performance in type 2 diabetes. 18 type 2 diabetes patients were included in a longitudinal prospective one-year study, as well as 22 healthy age-matched controls. We collected demographic data, HbA1C and used a novel set of visual psychophysical tests addressing color, achromatic luminance and speed discrimination in both groups. Psychophysical tests underwent dimension reduction with principle component analysis into three synthetic variables: speed, achromatic luminance and color discrimination. A MEGA-PRESS magnetic resonance brain spectroscopy sequence was used to measure occipital GABA levels in the type 2 diabetes group. Retinopathy grading and retinal microaneurysms counting were performed in the type 2 diabetes group for single-armed correlations. Speed discrimination thresholds were significantly higher in the type 2 diabetes group in both visits; mean difference (95% confidence interval), [0.86 (0.32-1.40) in the first visit, 0.74 (0.04-1.44) in the second visit]. GABA from the occipital cortex predicted speed and achromatic luminance discrimination thresholds within the same visit (r = 0.54 and 0.52; p = 0.02 and 0.03, respectively) in type 2 diabetes group. GABA from the occipital cortex also predicted speed discrimination thresholds one year later (r = 0.52; p = 0.03) in the type 2 diabetes group. Our results suggest that speed discrimination is impaired in type 2 diabetes and that occipital cortical GABA is a novel predictor of visual psychophysical performance independently from retinopathy grade, metabolic control or disease duration in the early stages of the disease.
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Affiliation(s)
- Mafalda Sanches
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- CNC.IBILI, University of Coimbra, Coimbra, Portugal
| | - Sulaiman I Abuhaiba
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- CNC.IBILI, University of Coimbra, Coimbra, Portugal
- PhD Programme in Experimental Biology and Biomedicine (PDBEB), CNC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- Institute for Interdisciplinary Research (IIIUC), University of Coimbra, Coimbra, Portugal
| | - Otília C d'Almeida
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- CNC.IBILI, University of Coimbra, Coimbra, Portugal
- Visual Neuroscience Laboratory, Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Azinhaga de Santa Comba, Celas, 3000-548, Coimbra, Portugal
| | - Bruno Quendera
- CNC.IBILI, University of Coimbra, Coimbra, Portugal
- Visual Neuroscience Laboratory, Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Azinhaga de Santa Comba, Celas, 3000-548, Coimbra, Portugal
| | - Leonor Gomes
- Department of Endocrinology, Coimbra University and Hospital Centre (CHUC), Coimbra, Portugal
| | - Carolina Moreno
- Department of Endocrinology, Coimbra University and Hospital Centre (CHUC), Coimbra, Portugal
| | - Daniela Guelho
- Department of Endocrinology, Coimbra University and Hospital Centre (CHUC), Coimbra, Portugal
| | - Miguel Castelo-Branco
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.
- CNC.IBILI, University of Coimbra, Coimbra, Portugal.
- Visual Neuroscience Laboratory, Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Azinhaga de Santa Comba, Celas, 3000-548, Coimbra, Portugal.
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357
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Activation induced changes in GABA: Functional MRS at 7T with MEGA-sLASER. Neuroimage 2017; 156:207-213. [PMID: 28533117 DOI: 10.1016/j.neuroimage.2017.05.044] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Revised: 05/16/2017] [Accepted: 05/19/2017] [Indexed: 11/23/2022] Open
Abstract
Functional magnetic resonance spectroscopy (fMRS) has been used to assess the dynamic metabolic responses of the brain to a physiological stimulus non-invasively. However, only limited information on the dynamic functional response of γ-aminobutyric acid (GABA), the primary inhibitory neurotransmitter in the brain, is available. We aimed to measure the activation-induced changes in GABA unambiguously using a spectral editing method, instead of the conventional direct detection techniques used in previous fMRS studies. The Mescher-Garwood-semi-localised by adiabatic selective refocusing (MEGA-sLASER) sequence was developed at 7T to obtain the time course of GABA concentration without macromolecular contamination. A significant decrease (-12±5%) in the GABA to total creatine ratio (GABA/tCr) was observed in the motor cortex during a period of 10min of hand-clenching, compared to an initial baseline level (GABA/tCr =0.11±0.02) at rest. An increase in the Glx (glutamate and glutamine) to tCr ratio was also found, which is in agreement with previous findings. In contrast, no significant changes in NAA/tCr and tCr were detected. With consistent and highly efficient editing performance for GABA detection and the advantage of visually identifying GABA resonances in the spectra, MEGA-sLASER is demonstrated to be an effective method for studying of dynamic changes in GABA at 7T.
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358
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Normal Aging Slows Spontaneous Switching in Auditory and Visual Bistability. Neuroscience 2017; 389:152-160. [PMID: 28479403 DOI: 10.1016/j.neuroscience.2017.04.040] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 04/26/2017] [Indexed: 11/20/2022]
Abstract
Age-related changes in auditory and visual perception have an impact on the quality of life. It has been debated how perceptual organization is influenced by advancing age. From the neurochemical perspective, we investigated age effects on auditory and visual bistability. In perceptual bistability, a sequence of sensory inputs induces spontaneous switching between different perceptual objects. We used different modality tasks of auditory streaming and visual plaids. Young and middle-aged participants (20-60years) were instructed to indicate by a button press whenever their perception changed from one stable state to the other. The number of perceptual switches decreased with participants' ages. We employed magnetic resonance spectroscopy to measure non-invasively concentrations of the inhibitory neurotransmitter (γ-aminobutyric acid, GABA) in the brain regions of interest. When participants were asked to voluntarily modulate their perception, the amount of effective volitional control was positively correlated with the GABA concentration in the auditory and motion-sensitive areas corresponding to each sensory modality. However, no correlation was found in the prefrontal cortex and anterior cingulate cortex. In addition, effective volitional control was reduced with advancing age. Our results suggest that sequential scene analysis in auditory and visual domains is influenced by both age-related and neurochemical factors.
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359
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Harris AD, Puts NAJ, Wijtenburg SA, Rowland LM, Mikkelsen M, Barker PB, Evans CJ, Edden RAE. Normalizing data from GABA-edited MEGA-PRESS implementations at 3 Tesla. Magn Reson Imaging 2017; 42:8-15. [PMID: 28479342 DOI: 10.1016/j.mri.2017.04.013] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 03/21/2017] [Accepted: 04/30/2017] [Indexed: 12/12/2022]
Abstract
Standardization of results is an important milestone in the maturation of any truly quantitative methodology. For instance, a lack of measurement agreement across imaging platforms limits multisite studies, between-study comparisons based on the literature, and inferences based on and the generalizability of results. In GABA-edited MEGA-PRESS, two key sources of differences between implementations are: differences in editing efficiency of GABA and the degree of co-editing of macromolecules (MM). In this work, GABA editing efficiency κ and MM-co-editing μ constants are determined for three widely used MEGA-PRESS implementations (on the most common MRI platforms; GE, Philips, and Siemens) by phantom experiments. Implementation-specific κ,μ-corrections were then applied to two in vivo datasets, one consisted of 8 subject scanned on the three platforms and the other one subject scanned eight times on each platform. Manufacturer-specific κ and μ values were determined as: κGE=0.436, κSiemens=0.366 and κPhilips=0.394 and μGE=0.83, μSiemens=0.625 and μPhilips=0.75. Applying the κ,μ-correction on the Cr-referenced data decreased the coefficient of variation (CV) of the data for both in vivo data sets (multisubjects: uncorrected CV=13%, κ,μ-corrected CV=5%, single subject: uncorrected CV=23%, κ,μ-corrected CV=13%) but had no significant effect on mean GABA levels. For the water-referenced results, CV increased in the multisubject data (uncorrected CV=6.7%, κ,μ-corrected CV=14%) while it decreased in the single subject data (uncorrected CV=24%, κ,μ-corrected CV=21%) and manufacturer was a significant source of variance in the κ,μ-corrected data. Applying a correction for editing efficiency and macromolecule contamination decreases the variance between different manufacturers for creatine-referenced data, but other sources of variance remain.
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Affiliation(s)
- Ashley D Harris
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Child and Adolescent Imaging Research (CAIR) Program, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; 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.
| | - 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
| | - S Andrea Wijtenburg
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Laura M Rowland
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mark Mikkelsen
- 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; CUBRIC, School of Psychology, Cardiff University, Cardiff, UK
| | - 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
| | - C John Evans
- CUBRIC, School of Psychology, Cardiff University, Cardiff, UK
| | - 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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360
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Chan KL, Oeltzschner G, Schär M, Barker PB, Edden RAE. Spatial Hadamard encoding of J-edited spectroscopy using slice-selective editing pulses. NMR IN BIOMEDICINE 2017; 30:10.1002/nbm.3688. [PMID: 28128481 PMCID: PMC5388576 DOI: 10.1002/nbm.3688] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Revised: 11/17/2016] [Accepted: 12/05/2016] [Indexed: 06/06/2023]
Abstract
A new approach for simultaneous dual-voxel J-difference spectral editing is described, which uses spatially selective spectral-editing pulses and Hadamard encoding. A theoretical framework for spatial Hadamard editing and reconstruction for parallel acquisition (SHERPA) was developed, applying gradient pulses during the frequency-selective editing pulses. Spectral simulations were performed for either one (gamma-aminobutyric acid, GABA) or two molecules (glutathione and lactate) simultaneously detected in two voxels. The method was tested in a two-compartment GABA phantom, and finally applied to the left and right hemispheres of 10 normal control subjects, scanned at 3 T. SHERPA was successfully implemented at 3 T and gave results in close agreement with conventional MEGA-PRESS scans in both the phantom and in vivo experiments. Simulations for GABA editing for (3 cm)3 voxels in the left and right hemispheres suggest that both editing efficiency losses and contamination between voxels are about 2%. Compared with conventional single-voxel single-metabolite J-difference editing, two- or fourfold acceleration is possible without significant loss of SNR using the SHERPA method. Unlike some other dual-voxel methods, the method can be used with single-channel receiver coils, and there is no SNR loss due to unfavorable receive-coil geometry factors.
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Affiliation(s)
- Kimberly L. Chan
- Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
- F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
- F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
| | - Michael Schär
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Peter B. Barker
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
- F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
| | - Richard A. E. Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
- F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
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361
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Chan KL, Saleh MG, Oeltzschner G, Barker PB, Edden RAE. Simultaneous measurement of Aspartate, NAA, and NAAG using HERMES spectral editing at 3 Tesla. Neuroimage 2017; 155:587-593. [PMID: 28438664 DOI: 10.1016/j.neuroimage.2017.04.043] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 04/07/2017] [Accepted: 04/19/2017] [Indexed: 10/19/2022] Open
Abstract
It has previously been shown that the HERMES method ('Hadamard Encoding and Reconstruction of MEGA-Edited Spectroscopy') can be used to simultaneously edit pairs of metabolites (such as N-acetyl-aspartate (NAA) and N-acetyl aspartyl glutamate (NAAG), or glutathione and GABA). In this study, HERMES is extended for the simultaneous editing of three overlapping signals, and illustrated for the example of NAA, NAAG and Aspartate (Asp). Density-matrix simulations were performed in order to optimize the HERMES sequence. The method was tested in NAA and Asp phantoms, and applied to the centrum semiovale of the nine healthy control subjects that were scanned at 3T. Both simulations and phantom experiments showed similar metabolite multiplet patterns with good segregation of all three metabolites. In vivo measurements show consistent relative signal intensities and multiplet patterns with concentrations in agreement with literature values. Simulations indicate co-editing of glutathione, glutamine, and glutamate, but their signals do not significantly overlap with the detected aspartyl resonances. This study demonstrates that a four-step Hadamard-encoded editing scheme can be used to simultaneously edit three otherwise overlapping metabolites, and can measure NAA, NAAG, and Asp in vivo in the brain at 3T with minimal crosstalk.
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Affiliation(s)
- Kimberly L Chan
- Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Muhammad G Saleh
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Peter B Barker
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States.
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362
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Delli Pizzi S, Chiacchiaretta P, Mantini D, Bubbico G, Ferretti A, Edden RA, Di Giulio C, Onofrj M, Bonanni L. Functional and neurochemical interactions within the amygdala-medial prefrontal cortex circuit and their relevance to emotional processing. Brain Struct Funct 2017; 222:1267-1279. [PMID: 27566606 PMCID: PMC5549263 DOI: 10.1007/s00429-016-1276-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 07/15/2016] [Indexed: 02/02/2023]
Abstract
The amygdala-medial prefrontal cortex (mPFC) circuit plays a key role in emotional processing. GABA-ergic inhibition within the mPFC has been suggested to play a role in the shaping of amygdala activity. However, the functional and neurochemical interactions within the amygdala-mPFC circuits and their relevance to emotional processing remain unclear. To investigate this circuit, we obtained resting-state functional magnetic resonance imaging (rs-fMRI) and proton MR spectroscopy in 21 healthy subjects to assess the potential relationship between GABA levels within mPFC and the amygdala-mPFC functional connectivity. Trait anxiety was assessed using the State-Trait Anxiety Inventory (STAI-Y2). Partial correlations were used to measure the relationships among the functional connectivity outcomes, mPFC GABA levels and STAI-Y2 scores. Age, educational level and amount of the gray and white matters within 1H-MRS volume of interest were included as nuisance variables. The rs-fMRI signals of the amygdala and the vmPFC were significantly anti-correlated. This negative functional coupling between the two regions was inversely correlated with the GABA+/tCr level within the mPFC and the STAI-Y2 scores. We suggest a close relationship between mPFC GABA levels and functional interactions within the amygdala-vmPFC circuit, providing new insights in the physiology of emotion.
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Affiliation(s)
- Stefano Delli Pizzi
- Department of Neuroscience, Imaging and Clinical Sciences, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
- Aging Research Centre, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
| | - Piero Chiacchiaretta
- Department of Neuroscience, Imaging and Clinical Sciences, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
| | - Dante Mantini
- Research Centre for Motor Control and Neuroplasticity, KU Leuven, Louvain, Belgium
- Department of Health Sciences and Technology, Neural Control of Movement Lab, ETH Zurich, Switzerland
- Department of Experimental Psychology, Oxford University, Oxford, UK
| | - Giovanna Bubbico
- Department of Neuroscience, Imaging and Clinical Sciences, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical Sciences, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
| | - Richard A Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- F.M. Kirby Center for Functional MRI, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Camillo Di Giulio
- Department of Neuroscience, Imaging and Clinical Sciences, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
| | - Marco Onofrj
- Department of Neuroscience, Imaging and Clinical Sciences, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
- Aging Research Centre, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy
| | - Laura Bonanni
- Department of Neuroscience, Imaging and Clinical Sciences, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy.
- Aging Research Centre, ''G. d'Annunzio'' University of Chieti-Pescara, Chieti, Italy.
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Harris AD, Saleh MG, Edden RAE. Edited 1 H magnetic resonance spectroscopy in vivo: Methods and metabolites. Magn Reson Med 2017; 77:1377-1389. [PMID: 28150876 PMCID: PMC5352552 DOI: 10.1002/mrm.26619] [Citation(s) in RCA: 118] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 12/30/2016] [Accepted: 12/30/2016] [Indexed: 12/13/2022]
Abstract
The Proton magnetic resonance (1 H-MRS) spectrum contains information about the concentration of tissue metabolites within a predefined region of interest (a voxel). The conventional spectrum in some cases obscures information about less abundant metabolites due to limited separation and complex splitting of the metabolite peaks. One method to detect these metabolites is to reduce the complexity of the spectrum using editing. This review provides an overview of the one-dimensional editing methods available to interrogate these obscured metabolite peaks. These methods include sequence optimizations, echo-time averaging, J-difference editing methods (single BASING, dual BASING, and MEGA-PRESS), constant-time PRESS, and multiple quantum filtering. It then provides an overview of the brain metabolites whose detection can benefit from one or more of these editing approaches, including ascorbic acid, γ-aminobutyric acid, lactate, aspartate, N-acetyl aspartyl glutamate, 2-hydroxyglutarate, glutathione, glutamate, glycine, and serine. Magn Reson Med 77:1377-1389, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Ashley D Harris
- Department of Radiology, University of Calgary, Calgary, AB T2N 1N4, Canada
- Child and Adolescent Imaging Research (CAIR) Program, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB T3B 6A9, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Muhammad G Saleh
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA
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364
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Brix MK, Ersland L, Hugdahl K, Dwyer GE, Grüner R, Noeske R, Beyer MK, Craven AR. Within- and between-session reproducibility of GABA measurements with MR spectroscopy. J Magn Reson Imaging 2017; 46:421-430. [DOI: 10.1002/jmri.25588] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 11/28/2016] [Indexed: 12/28/2022] Open
Affiliation(s)
- Maiken K. Brix
- Department of Radiology; Haukeland University Hospital; Bergen Norway
- Department of Clinical Medicine (K1); University of Bergen; Bergen Norway
| | - Lars Ersland
- Department of Clinical Engineering; Haukeland University Hospital; Bergen Norway
- NORMENT - Norwegian Center for Mental Disorders Research; University of Bergen; Bergen Norway
| | - Kenneth Hugdahl
- Department of Radiology; Haukeland University Hospital; Bergen Norway
- NORMENT - Norwegian Center for Mental Disorders Research; University of Bergen; Bergen Norway
- Department of Biological and Medical Psychology; University of Bergen; Bergen Norway
- Division of Psychiatry; Haukeland University Hospital; Bergen Norway
| | - Gerard E. Dwyer
- Department of Biological and Medical Psychology; University of Bergen; Bergen Norway
| | - Renate Grüner
- Department of Radiology; Haukeland University Hospital; Bergen Norway
- NORMENT - Norwegian Center for Mental Disorders Research; University of Bergen; Bergen Norway
- Department of Physics and Technology; University of Bergen; Bergen Norway
| | - Ralph Noeske
- MR Applications and Workflow Development, GE Healthcare; Berlin Germany
| | - Mona K. Beyer
- Department of Radiology and Nuclear Medicine; Oslo University Hospital; Oslo Norway
- Department of Life Sciences and Health, Faculty of Health Sciences; Oslo and Akershus University College of Applied Sciences; Oslo Norway
| | - Alexander R. Craven
- NORMENT - Norwegian Center for Mental Disorders Research; University of Bergen; Bergen Norway
- Department of Biological and Medical Psychology; University of Bergen; Bergen Norway
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365
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Wijtenburg SA, West J, Korenic SA, Kuhney F, Gaston FE, Chen H, Roberts M, Kochunov P, Hong LE, Rowland LM. Glutamatergic metabolites are associated with visual plasticity in humans. Neurosci Lett 2017; 644:30-36. [PMID: 28189743 DOI: 10.1016/j.neulet.2017.02.020] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 02/01/2017] [Accepted: 02/07/2017] [Indexed: 10/20/2022]
Abstract
Long-term potentiation (LTP) is a basic cellular mechanism underlying learning and memory. LTP-like plasticity in the visual cortex can be induced by high frequency visual stimulation in rodents and humans. Since glutamate plays a fundamental role in LTP, this study investigated if visual cortical glutamate and glutamine levels, measured by proton magnetic resonance spectroscopy (MRS), relate to visual plasticity in humans. Since plasticity requires a delicate excitation and inhibition balance, GABA was also explored. Eighteen healthy participants completed MRS and a visual fMRI paradigm. Results revealed enhanced fMRI activations after high frequency visual stimulation, suggesting visual plasticity occurred. Higher activations were associated with higher resting glutamine levels after family wise error-correction. Exploratory analyses revealed that higher resting glutamate and GABA levels were associated with visual plasticity, suggesting there may be a critical excitation-inhibition balance necessary for experience dependent plasticity. This is the first empirical evidence that resting glutamine levels and potentially glutamate and GABA levels are associated with visual plasticity in humans.
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Affiliation(s)
- S Andrea Wijtenburg
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA.
| | - Jeffrey West
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA
| | - Stephanie A Korenic
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA
| | - Franchesca Kuhney
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA
| | - Frank E Gaston
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA
| | - Hongji Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA
| | - Meredith Roberts
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA; Department of Physics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA
| | - Laura M Rowland
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228, USA; Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 601 N. Caroline Street, Baltimore, MD 21287, USA; Department of Psychology, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
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366
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Liu B, Yang H, Gao F, Wang Q, Zhao B, Gong T, Wang Z, Chen W, Wang G, Edden RA. Investigation of brain GABA+ in primary hypothyroidism using edited proton MR spectroscopy. Clin Endocrinol (Oxf) 2017; 86:256-262. [PMID: 27581339 PMCID: PMC5512100 DOI: 10.1111/cen.13177] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 07/17/2016] [Accepted: 08/30/2016] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Evidence indicates that thyroid hormones have effects on the inhibitory GABAergic system. The aim of this study was to investigate whether brain GABA levels are altered in patients with hypothyroidism compared with healthy controls. DESIGN/METHODS Fifteen patients with primary hypothyroidism and 15 matched healthy controls underwent single-voxel MEGA-PRESS magnetic resonance spectroscopy at 3T, to quantify GABA levels in the median prefrontal cortex (mPFC) and posterior cingulate cortex (PCC). All participants underwent thyroid function test. Neuropsychological performances were evaluated by administration of the Montreal Cognitive Assessment (MoCA) and the 21-item Beck Depression Inventory-II (BDI-II). RESULTS The patients with hypothyroidism had significantly lower GABA+ levels in the mPFC compared with healthy controls (P = 0·016), whereas no significant difference (P = 0·214) was observed in the PCC. Exploratory analyses revealed that mPFC GABA+ levels were negatively correlated with the BDI-II scores in patient group (r = -0·60, P = 0·018). No correlations were found between GABA+ levels and TSH or fT3 or fT4 levels in either region (all P > 0·05). CONCLUSION This study suggests that alteration of GABAergic neurotransmission may play an important role in the pathophysiology of primary hypothyroidism, providing intriguing neurochemical clues to understand thyroid-brain interactions.
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Affiliation(s)
- Bo Liu
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, China
| | - Huan Yang
- Shandong Medical Imaging Research Institute affiliated to Shandong University, Jinan, China
| | - Fei Gao
- Shandong Medical Imaging Research Institute affiliated to Shandong University, Jinan, China
| | - Qing Wang
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, China
| | - Bin Zhao
- Shandong Medical Imaging Research Institute affiliated to Shandong University, Jinan, China
| | - Tao Gong
- Shandong Medical Imaging Research Institute affiliated to Shandong University, Jinan, China
| | - Zhensong Wang
- Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | | | - Guangbin Wang
- Shandong Medical Imaging Research Institute affiliated to Shandong University, Jinan, China
| | - Richard A.E. Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Iwabuchi SJ, Raschke F, Auer DP, Liddle PF, Lankappa ST, Palaniyappan L. Targeted transcranial theta-burst stimulation alters fronto-insular network and prefrontal GABA. Neuroimage 2017; 146:395-403. [DOI: 10.1016/j.neuroimage.2016.09.043] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 09/12/2016] [Accepted: 09/17/2016] [Indexed: 10/21/2022] Open
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368
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Kondo HM, Farkas D, Denham SL, Asai T, Winkler I. Auditory multistability and neurotransmitter concentrations in the human brain. Philos Trans R Soc Lond B Biol Sci 2017; 372:rstb.2016.0110. [PMID: 28044020 DOI: 10.1098/rstb.2016.0110] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/08/2016] [Indexed: 11/12/2022] Open
Abstract
Multistability in perception is a powerful tool for investigating sensory-perceptual transformations, because it produces dissociations between sensory inputs and subjective experience. Spontaneous switching between different perceptual objects occurs during prolonged listening to a sound sequence of tone triplets or repeated words (termed auditory streaming and verbal transformations, respectively). We used these examples of auditory multistability to examine to what extent neurochemical and cognitive factors influence the observed idiosyncratic patterns of switching between perceptual objects. The concentrations of glutamate-glutamine (Glx) and γ-aminobutyric acid (GABA) in brain regions were measured by magnetic resonance spectroscopy, while personality traits and executive functions were assessed using questionnaires and response inhibition tasks. Idiosyncratic patterns of perceptual switching in the two multistable stimulus configurations were identified using a multidimensional scaling (MDS) analysis. Intriguingly, although switching patterns within each individual differed between auditory streaming and verbal transformations, similar MDS dimensions were extracted separately from the two datasets. Individual switching patterns were significantly correlated with Glx and GABA concentrations in auditory cortex and inferior frontal cortex but not with the personality traits and executive functions. Our results suggest that auditory perceptual organization depends on the balance between neural excitation and inhibition in different brain regions.This article is part of the themed issue 'Auditory and visual scene analysis'.
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Affiliation(s)
- Hirohito M Kondo
- Human Information Science Laboratory, NTT Communication Science Laboratories, NTT Corporation, Atsugi, Kanagawa 243-0198, Japan
| | - Dávid Farkas
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok körútja 2, 1117 Budapest, Hungary.,Department of Cognitive Science, Faculty of Natural Sciences, Budapest University of Technology and Economics, Egry József utca 1, 1111 Budapest, Hungary
| | - Susan L Denham
- Cognition Institute and School of Psychology, University of Plymouth, Plymouth, Devon PL4 8AA, UK
| | - Tomohisa Asai
- Human Information Science Laboratory, NTT Communication Science Laboratories, NTT Corporation, Atsugi, Kanagawa 243-0198, Japan
| | - István Winkler
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok körútja 2, 1117 Budapest, Hungary
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369
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Porges EC, Woods AJ, Edden RAE, Puts NAJ, Harris AD, Chen H, Garcia AM, Seider TR, Lamb DG, Williamson JB, Cohen RA. Frontal Gamma-Aminobutyric Acid Concentrations Are Associated With Cognitive Performance in Older Adults. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 2:38-44. [PMID: 28217759 DOI: 10.1016/j.bpsc.2016.06.004] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Gamma-aminobutyric acid (GABA), the brain's principal inhibitory neurotransmitter, has been associated with perceptual and attentional functioning. Recent application of magnetic resonance spectroscopy (MRS) provides in vivo evidence for decreasing GABA concentrations during adulthood. It is unclear, however, how age-related decrements in cerebral GABA concentrations contribute to cognitive decline, or whether previously reported declines in cerebral GABA concentrations persist during healthy aging. We hypothesized that participants with higher GABA concentrations in the frontal cortex would exhibit superior cognitive function and that previously reported age-related decreases in cortical GABA concentrations continue into old age. METHODS We measured GABA concentrations in frontal and posterior midline cerebral regions using a Mescher-Garwood point-resolved spectroscopy (MEGA-PRESS) 1H-MRS approach in 94 older adults without history or clinical evidence of mild cognitive impairment or dementia (mean age, 73 years). We administered the Montreal Cognitive Assessment to assess cognitive functioning. RESULTS Greater frontal GABA concentrations were associated with superior cognitive performance. This relation remained significant after controlling for age, years of education, and brain atrophy. GABA concentrations in both frontal and posterior regions decreased as a function of age. CONCLUSIONS These novel findings from a large, healthy, older population indicate that cognitive function is sensitive to cerebral GABA concentrations in the frontal cortex, and GABA concentration in frontal and posterior regions continue to decline in later age. These effects suggest that proton MRS may provide a clinically useful method for the assessment of normal and abnormal age-related cognitive changes and the associated physiological contributors.
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Affiliation(s)
- Eric C Porges
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - Adam J Woods
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - Richard A E Edden
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - Nicolaas A J Puts
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - Ashley D Harris
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - Huaihou Chen
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - Amanda M Garcia
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - Talia R Seider
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - Damon G Lamb
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - John B Williamson
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
| | - Ronald A Cohen
- Center for Cognitive Aging and Memory (ECP, AJW, HC, AMG, TRS, DGL, JBW, RAC), Institute on Aging, McKnight Brain Institute, Department of Aging and Geriatric Research; Department of Neuroscience (AJW), University of Florida, Gainesville, Florida; FM Kirby Center for Functional Brain Imaging (RAEE, NAJP, ADH), Kennedy Krieger Institute; Russell H. Morgan Department of Radiology and Radiological Science (RAEE, NAJP, ADH), The Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Radiology (ADH), CAIR Program (ADH), Alberta Children's Hospital Research Institute, University of Calgary; Hotchkiss Brain Institute (ADH), University of Calgary, Calgary, Alberta, Canada; Department of Biostatistics (HC); Department of Clinical and Health Psychology (AMG, TRS), University of Florida; Brain Rehabilitation and Research Center (DGL, JBW), Malcom Randall Veterans Affairs Medical Center; and Center for Neuropsychological Studies (JBW), Department of Neurology, University of Florida College of Medicine, Gainesville, Florida
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Tomiyasu M, Aida N, Shibasaki J, Umeda M, Murata K, Heberlein K, Brown MA, Shimizu E, Tsuji H, Obata T. In vivo estimation of gamma-aminobutyric acid levels in the neonatal brain. NMR IN BIOMEDICINE 2017; 30:e3666. [PMID: 27859844 PMCID: PMC5216898 DOI: 10.1002/nbm.3666] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 09/16/2016] [Accepted: 10/07/2016] [Indexed: 06/06/2023]
Abstract
Gamma-aminobutyric acid (GABA) is the major inhibitory neurotransmitter in the brain, and plays a key role in brain development. However, the in vivo levels of brain GABA in early life are unknown. Using edited MRS, in vivo GABA can be detected as GABA+ signal with contamination of macromolecule signals. GABA+ is evaluated as the peak ratio of GABA+/reference compound, for which creatine (Cr) or water is typically used. However, the concentrations and T1 and T2 relaxation times of these references change during development. Thus, the peak ratio comparison between neonates and children may be inaccurate. The aim of this study was to measure in vivo neonatal brain GABA+ levels, and to investigate the dependency of GABA levels on brain region and age. The basal ganglia and cerebellum of 38 neonates and 12 children were measured using GABA-edited MRS. Two different approaches were used to obtain GABA+ levels: (i) multiplying the GABA/water ratio by the water concentration; and (ii) multiplying the GABA+/Cr by the Cr concentration. Neonates exhibited significantly lower GABA+ levels compared with children in both regions, regardless of the approach employed, consistent with previous ex vivo data. A similar finding of lower GABA+/water and GABA+/Cr in neonates compared with children was observed, except for GABA+/Cr in the cerebellum. This contrasting finding resulted from significantly lower Cr concentrations in the neonate cerebellum, which were approximately 52% of those of children. In conclusion, care should be taken to consider Cr concentrations when comparing GABA+/Cr levels between different-aged subjects.
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Affiliation(s)
- Moyoko Tomiyasu
- Department of Molecular Imaging and TheranosticsNational Institute of Radiological Sciences4‐9‐1 Anagawa, Inage‐kuChiba263‐8555Japan
- Research Center for Child Mental DevelopmentChiba University1‐8‐1 Inohana, Chuo‐kuChiba260‐8670Japan
- Department of RadiologyKanagawa Children's Medical Center2‐138‐4 Mutsukawa, Minami‐kuYokohama232‐8555Japan
| | - Noriko Aida
- Research Center for Child Mental DevelopmentChiba University1‐8‐1 Inohana, Chuo‐kuChiba260‐8670Japan
- Department of RadiologyKanagawa Children's Medical Center2‐138‐4 Mutsukawa, Minami‐kuYokohama232‐8555Japan
| | - Jun Shibasaki
- Department of NeonatologyKanagawa Children's Medical Center2‐138‐4 Mutsukawa, Minami‐kuYokohama232‐8555Japan
| | - Masahiro Umeda
- Medical MR CenterMeiji University of Integrative MedicineHiyoshi, NantanKyoto629‐0392Japan
| | - Katsutoshi Murata
- Imaging and Therapy System DivisionSiemens Japan1‐11‐1 Osaki, ShinagawaTokyo141‐8644Japan
| | - Keith Heberlein
- Biomedical Imaging Technology CenterBurlingtonMassachusettsUSA
| | - Mark A. Brown
- Siemens Medical Solutions USA209 Gregson DriveCaryNorth Carolina27511USA
| | - Eiji Shimizu
- Research Center for Child Mental DevelopmentChiba University1‐8‐1 Inohana, Chuo‐kuChiba260‐8670Japan
| | - Hiroshi Tsuji
- Department of Molecular Imaging and TheranosticsNational Institute of Radiological Sciences4‐9‐1 Anagawa, Inage‐kuChiba263‐8555Japan
| | - Takayuki Obata
- Department of Molecular Imaging and TheranosticsNational Institute of Radiological Sciences4‐9‐1 Anagawa, Inage‐kuChiba263‐8555Japan
- Department of RadiologyKanagawa Children's Medical Center2‐138‐4 Mutsukawa, Minami‐kuYokohama232‐8555Japan
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371
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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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372
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Glutamate-glutamine and GABA in brain of normal aged and patients with cognitive impairment. Eur Radiol 2016; 27:2698-2705. [DOI: 10.1007/s00330-016-4669-8] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2016] [Revised: 10/28/2016] [Accepted: 11/21/2016] [Indexed: 02/07/2023]
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373
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Rice LJ, Lagopoulos J, Brammer M, Einfeld SL. Reduced gamma-aminobutyric acid is associated with emotional and behavioral problems in Prader-Willi syndrome. Am J Med Genet B Neuropsychiatr Genet 2016; 171:1041-1048. [PMID: 27338833 DOI: 10.1002/ajmg.b.32472] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Accepted: 06/09/2016] [Indexed: 01/04/2023]
Abstract
Prader-Willi syndrome (PWS) is characterized by infantile hypotonia, hypogonadism, small hands and feet, distinct facial features and usually intellectual impairment. The disorder is associated with severe behavioral disturbances which include hyperphagia leading to morbid obesity, temper outbursts, skin-picking, and compulsive behaviors. While the brain mechanisms that underpin these disturbances are unknown these behaviors suggest a lack of inhibition and thus gamma-aminobutyric acid (GABA), the main inhibitory neurotransmitter may be implicated. In the present study, we investigated in vivo brain GABA and its relationship with emotion and behavior in individuals with PWS. Single voxel proton magnetic resonance spectroscopy (1H-MRS) was performed on 15 individuals with PWS and 15 age- and gender-matched typically developing controls. GABA levels were measured in the parieto-occipital lobe. All other metabolite levels (N-acetyl aspartate, myo-Inositol, glutathione, glutamate, and glutamine + glutamate) were measured in the anterior cingulate cortex (ACC). GABA levels were significantly lower in the participants with PWS who had clinically significant emotional and behavioral problems relative to typically developing control participants and participants with PWS who did not have emotional and behavioral problems within the clinically significant range. GABA levels were negatively correlated with total behavioral problem scores as well as temper outbursts, skin-picking, depression, social relating difficulties, and a tendency to be self-absorbed. Our data suggests that alterations of the GABAergic system may play an important role in aspects of the pathophysiology of PWS. Pathological mechanism found in PWS may be relevant to understanding the control of similar behaviors in the general population. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Lauren J Rice
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia.,Centre for Disability Research and Policy, University of Sydney, Sydney, New South Wales, Australia
| | - Jim Lagopoulos
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia.,Queensland Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Michael Brammer
- Department of Neuroimaging, Institute of Psychiatry, King's College London, London, UK
| | - Stewart L Einfeld
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia.,Centre for Disability Research and Policy, University of Sydney, Sydney, New South Wales, Australia
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374
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Perisylvian GABA levels in schizophrenia and bipolar disorder. Neurosci Lett 2016; 637:70-74. [PMID: 27890741 DOI: 10.1016/j.neulet.2016.11.051] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2016] [Revised: 11/16/2016] [Accepted: 11/23/2016] [Indexed: 11/21/2022]
Abstract
The aim of this study is to measure GABA levels of perisylvian cortices in schizophrenia and bipolar disorder patients, using proton magnetic resonance spectroscopy (1H-MRS). Patients with schizophrenia (n=25), bipolar I disorder (BD-I; n=28) and bipolar II disorder (BD-II; n=20) were compared with healthy controls (n=30). 1H-MRS data was acquired using a Siemens 3T whole body scanner to quantify right and left perisylvian structures' (including superior temporal lobes) GABA levels. Right perisylvian GABA values differed significantly between groups [χ2=9.62, df: 3, p=0.022]. GABA levels were significantly higher in the schizophrenia group compared with the healthy control group (p=0.002). Furthermore, Chlorpromazine equivalent doses of antipsychotics correlated with right hemisphere GABA levels (r2=0.68, p=0.006, n=33). GABA levels are elevated in the right hemisphere in patients with schizophrenia in comparison to bipolar disorder and healthy controls. The balance between excitatory and inhibitory controls over the cortical circuits may have direct relationship with GABAergic functions in auditory cortices. In addition, GABA levels may be altered by brain regions of interest, psychotropic medications, and clinical stage in schizophrenia and bipolar disorder.
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375
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Oeltzschner G, Puts NAJ, Chan KL, Boer VO, Barker PB, Edden RAE. Dual-volume excitation and parallel reconstruction for J-difference-edited MR spectroscopy. Magn Reson Med 2016; 77:16-22. [PMID: 27851878 DOI: 10.1002/mrm.26536] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Revised: 09/20/2016] [Accepted: 10/10/2016] [Indexed: 12/30/2022]
Abstract
PURPOSE To develop J-difference editing with parallel reconstruction in accelerated multivoxel (PRIAM) for simultaneous measurement in two separate brain regions of γ-aminobutyric acid (GABA) or glutathione. METHODS PRIAM separates signals from two simultaneously excited voxels using receiver-coil sensitivity profiles. PRIAM was implemented into Mescher-Garwood (MEGA) edited experiments at 3 Tesla (T), and validated by acquiring dual-voxel MEGA-PRIAM (and compared with conventional single-voxel MEGA-PRESS) spectra from a GABA/glutathione phantom, and 11 healthy participants. RESULTS MEGA-PRIAM effectively separated phantom spectra with ∼3-4% between-voxel contamination. GABA and glutathione measurements agreed well with those obtained using single-voxel MEGA-PRESS (mean difference was below 2% in GABA levels, and below 7% in glutathione levels). In vivo, GABA- and glutathione-edited spectra were successfully reconstructed with a mean in vivo g-factor of 1.025 (typical voxel-center separation: 7-8 cm). MEGA-PRIAM experiments showed higher signal-to-noise ratio than sequential single-voxel experiments of the same total duration (mean improvement 1.38 ± 0.24). CONCLUSIONS Simultaneous acquisition of J-difference-edited GABA or glutathione spectra from two voxels is feasible at 3 T. MEGA-PRIAM increases data acquisition rates compared with MEGA-PRESS by a factor of 2. Magn Reson Med, 2016. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, the Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - 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 Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Kimberly L Chan
- Russell H. Morgan Department of Radiology and Radiological Science, the Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.,Department of Biomedical Engineering, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Vincent O Boer
- Hvidovre Hospital, Danish Research Center for Magnetic Resonance, Hvidovre, Denmark
| | - 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 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 Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
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376
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van Veenendaal TM, IJff DM, Aldenkamp AP, Lazeron RHC, Puts NAJ, Edden RAE, Hofman PAM, de Louw AJA, Backes WH, Jansen JFA. Glutamate concentrations vary with antiepileptic drug use and mental slowing. Epilepsy Behav 2016; 64:200-205. [PMID: 27744245 DOI: 10.1016/j.yebeh.2016.08.027] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 08/26/2016] [Accepted: 08/30/2016] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Although antiepileptic drugs (AEDs) are effective in suppressing epileptic seizures, they also induce (cognitive) side effects, with mental slowing as a general effect. This study aimed to assess whether concentrations of MR detectable neurotransmitters, glutamate and GABA, are associated with mental slowing in patients with epilepsy taking AEDs. METHODS Cross-sectional data were collected from patients with localization-related epilepsy using a variety of AEDs from three risk categories, i.e., AEDs with low, intermediate, and high risks of developing cognitive problems. Patients underwent 3T MR spectroscopy, including a PRESS (n=55) and MEGA-PRESS (n=43) sequence, to estimate occipital glutamate and GABA concentrations, respectively. The association was calculated between neurotransmitter concentrations and central information processing speed, which was measured using the Computerized Visual Searching Task (CVST) and compared between the different risk categories. RESULTS Combining all groups, patients with lower processing speeds had lower glutamate concentrations. Patients in the high-risk category had a lower glutamate concentration and lower processing speed compared with patients taking low-risk AEDs. Patients taking intermediate-risk AEDs also had a lower glutamate concentration compared with patients taking low-risk AEDs, but processing speed did not differ significantly between those groups. No associations were found between the GABA concentration and risk category or processing speed. CONCLUSIONS For the first time, a relation is shown between glutamate concentration and both mental slowing and AED use. It is suggested that the reduced excitatory action, reflected by lowered glutamate concentrations, may have contributed to the slowing of information processing in patients using AEDs with higher risks of cognitive side effects.
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Affiliation(s)
- Tamar M van Veenendaal
- Departments of Radiology and Nuclear Medicine, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands; School for Mental Health and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
| | - Dominique M IJff
- School for Mental Health and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands; Departments of Neurology and Neuropsychology, Epilepsy Center Kempenhaeghe, P.O. Box 61, 5590 AB Heeze, The Netherlands and Academic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze/Maastricht, The Netherlands.
| | - Albert P Aldenkamp
- School for Mental Health and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands; Departments of Neurology and Neuropsychology, Epilepsy Center Kempenhaeghe, P.O. Box 61, 5590 AB Heeze, The Netherlands and Academic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze/Maastricht, The Netherlands; Department of Neurology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands; Department of Neurology, Gent University Hospital, De Pintelaan 185, 9000 Gent, Belgium; Faculty of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
| | - Richard H C Lazeron
- Departments of Neurology and Neuropsychology, Epilepsy Center Kempenhaeghe, P.O. Box 61, 5590 AB Heeze, The Netherlands and Academic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze/Maastricht, The Netherlands.
| | - Nicolaas A J Puts
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 N Caroline St., Baltimore 21287, MD, USA; F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 North Broadway, Baltimore 21205, MD, USA.
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 N Caroline St., Baltimore 21287, MD, USA; F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 North Broadway, Baltimore 21205, MD, USA.
| | - Paul A M Hofman
- Departments of Radiology and Nuclear Medicine, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands; School for Mental Health and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands; Departments of Neurology and Neuropsychology, Epilepsy Center Kempenhaeghe, P.O. Box 61, 5590 AB Heeze, The Netherlands and Academic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze/Maastricht, The Netherlands.
| | - Anton J A de Louw
- Departments of Neurology and Neuropsychology, Epilepsy Center Kempenhaeghe, P.O. Box 61, 5590 AB Heeze, The Netherlands and Academic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze/Maastricht, The Netherlands; Department of Neurology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands; Faculty of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
| | - Walter H Backes
- Departments of Radiology and Nuclear Medicine, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands; School for Mental Health and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
| | - Jacobus F A Jansen
- Departments of Radiology and Nuclear Medicine, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands; School for Mental Health and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
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377
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Mikkelsen M, Singh KD, Brealy JA, Linden DEJ, Evans CJ. Quantification of γ-aminobutyric acid (GABA) in 1 H MRS volumes composed heterogeneously of grey and white matter. NMR IN BIOMEDICINE 2016; 29:1644-1655. [PMID: 27687518 DOI: 10.1002/nbm.3622] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 08/15/2016] [Accepted: 08/17/2016] [Indexed: 06/06/2023]
Abstract
The quantification of γ-aminobutyric acid (GABA) concentration using localised MRS suffers from partial volume effects related to differences in the intrinsic concentration of GABA in grey (GM) and white (WM) matter. These differences can be represented as a ratio between intrinsic GABA in GM and WM: rM . Individual differences in GM tissue volume can therefore potentially drive apparent concentration differences. Here, a quantification method that corrects for these effects is formulated and empirically validated. Quantification using tissue water as an internal concentration reference has been described previously. Partial volume effects attributed to rM can be accounted for by incorporating into this established method an additional multiplicative correction factor based on measured or literature values of rM weighted by the proportion of GM and WM within tissue-segmented MRS volumes. Simulations were performed to test the sensitivity of this correction using different assumptions of rM taken from previous studies. The tissue correction method was then validated by applying it to an independent dataset of in vivo GABA measurements using an empirically measured value of rM . It was shown that incorrect assumptions of rM can lead to overcorrection and inflation of GABA concentration measurements quantified in volumes composed predominantly of WM. For the independent dataset, GABA concentration was linearly related to GM tissue volume when only the water signal was corrected for partial volume effects. Performing a full correction that additionally accounts for partial volume effects ascribed to rM successfully removed this dependence. With an appropriate assumption of the ratio of intrinsic GABA concentration in GM and WM, GABA measurements can be corrected for partial volume effects, potentially leading to a reduction in between-participant variance, increased power in statistical tests and better discriminability of true effects.
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Affiliation(s)
- Mark Mikkelsen
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
- 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.
| | - Krish D Singh
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | - Jennifer A Brealy
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - David E J Linden
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - C John Evans
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
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378
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Drenthen GS, Barendse EM, Aldenkamp AP, van Veenendaal TM, Puts NAJ, Edden RAE, Zinger S, Thoonen G, Hendriks MPH, Kessels RPC, Jansen JFA. Altered neurotransmitter metabolism in adolescents with high-functioning autism. Psychiatry Res 2016; 256:44-49. [PMID: 27685800 PMCID: PMC5385138 DOI: 10.1016/j.pscychresns.2016.09.007] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Revised: 08/25/2016] [Accepted: 09/06/2016] [Indexed: 11/19/2022]
Abstract
Previous studies have suggested that alterations in excitatory/inhibitory neurotransmitters might play a crucial role in autism spectrum disorder (ASD). Proton magnetic resonance spectroscopy (1H-MRS) can provide valuable information about abnormal brain metabolism and neurotransmitter concentrations. However, few 1H-MRS studies have been published on the imbalance of the two most abundant neurotransmitters in ASD: glutamate (Glu) and gamma-aminobutyric acid (GABA). Moreover, to our knowledge none of these published studies is performed with a study population consisting purely of high-functioning autism (HFA) adolescents. Selecting only individuals with HFA eliminates factors possibly related to intellectual impairment instead of ASD. This study aims to assess Glu and GABA neurotransmitter concentrations in HFA. Occipital concentrations of Glu and GABA plus macromolecules (GABA+) were obtained using 1H-MRS relative to creatine (Cr) in adolescents with HFA (n=15 and n=13 respectively) and a healthy control group (n=17). Multiple linear regression revealed significantly higher Glu/Cr and lower GABA+/Glu concentrations in the HFA group compared to the controls. These results imply that imbalanced neurotransmitter levels of excitation and inhibition are associated with HFA in adolescents.
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Affiliation(s)
- Gerhard S Drenthen
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands; Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Evelien M Barendse
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands; Department of Behavioral Sciences, Epilepsy Center Kempenhaeghe, Heeze, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Albert P Aldenkamp
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands; School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands; Department of Behavioral Sciences, Epilepsy Center Kempenhaeghe, Heeze, The Netherlands
| | - Tamar M van Veenendaal
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands; Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands; Department of Behavioral Sciences, Epilepsy Center Kempenhaeghe, Heeze, The Netherlands
| | - 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 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 Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Svitlana Zinger
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Behavioral Sciences, Epilepsy Center Kempenhaeghe, Heeze, The Netherlands
| | - Geert Thoonen
- Special Education School de Berkenschutse, Sterkselseweg 65, 5591 VE Heeze, The Netherlands
| | - Marc P H Hendriks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands; Department of Behavioral Sciences, Epilepsy Center Kempenhaeghe, Heeze, The Netherlands
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands; Department of Medical Psychology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Jacobus F A Jansen
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands; Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands.
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379
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Zunhammer M, Schweizer LM, Witte V, Harris RE, Bingel U, Schmidt-Wilcke T. Combined glutamate and glutamine levels in pain-processing brain regions are associated with individual pain sensitivity. Pain 2016; 157:2248-2256. [PMID: 27649042 DOI: 10.1097/j.pain.0000000000000634] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The relationship between glutamate and γ-aminobutyric acid (GABA) levels in the living human brain and pain sensitivity is unknown. Combined glutamine/glutamate (Glx), as well as GABA levels can be measured in vivo with single-voxel proton magnetic resonance spectroscopy. In this cross-sectional study, we aimed at determining whether Glx and/or GABA levels in pain-related brain regions are associated with individual differences in pain sensitivity. Experimental heat, cold, and mechanical pain thresholds were obtained from 39 healthy, drug-free individuals (25 men) according to the quantitative sensory testing protocol and summarized into 1 composite measure of pain sensitivity. The Glx levels were measured using point-resolved spectroscopy at 3 T, within a network of pain-associated brain regions comprising the insula, the anterior cingulate cortex, the mid-cingulate cortex, the dorsolateral prefrontal cortex, and the thalamus. GABA levels were measured using GABA-edited spectroscopy (Mescher-Garwood point-resolved spectroscopy) within the insula, the anterior cingulate cortex, and the mid-cingulate cortex. Glx and/or GABA levels correlated positively across all brain regions. Gender, weekly alcohol consumption, and depressive symptoms were significantly associated with Glx and/or GABA levels. A linear regression analysis including all these factors indicated that Glx levels pooled across pain-related brain regions were positively associated with pain sensitivity, whereas no appreciable relationship with GABA was found. In sum, we show that the levels of the excitatory neurotransmitter glutamate and its precursor glutamine across pain-related brain regions are positively correlated with individual pain sensitivity. Future studies will have to determine whether our findings also apply to clinical populations.
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Affiliation(s)
| | - Lauren M Schweizer
- Abteilung für Neurologie, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil, Bochum, Germany
| | - Vanessa Witte
- Abteilung für Neurologie, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil, Bochum, Germany
| | - Richard E Harris
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Ulrike Bingel
- Klinik für Neurologie, Universitätsklinikum Essen, Essen, Germany
| | - Tobias Schmidt-Wilcke
- Abteilung für Neurologie, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil, Bochum, Germany
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380
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Chen M, Liao C, Chen S, Ding Q, Zhu D, Liu H, Yan X, Zhong J. Uncertainty assessment of gamma-aminobutyric acid concentration of different brain regions in individual and group using residual bootstrap analysis. Med Biol Eng Comput 2016; 55:1051-1059. [PMID: 27696130 DOI: 10.1007/s11517-016-1579-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2015] [Accepted: 09/26/2016] [Indexed: 12/24/2022]
Abstract
The aim of this work is to quantify individual and regional differences in the relative concentration of gamma-aminobutyric acid (GABA) in human brain with in vivo magnetic resonance spectroscopy. Spectral editing Mescher-Garwood point resolved spectroscopy (MEGA-PRESS) sequence and GABA analysis toolkit (Gannet) were used to detect and quantify GABA in anterior cingulate cortex (ACC) and occipital cortex (OCC) of healthy volunteers. Residual bootstrap, a model-based statistical analysis technique, was applied to resample the fitting residuals of GABA from the Gaussian fitting model (referred to as GABA+ thereafter) in both individual and group data of ACC and OCC. The inter-subject coefficient of variation (CV) of GABA+ in OCC (20.66 %) and ACC (12.55 %) with residual bootstrap was lower than that of a standard Gaussian model analysis (21.58 % and 16.73 % for OCC and ACC, respectively). The intra-subject uncertainty and CV of OCC were lower than that of ACC in both analyses. The residual bootstrap analysis thus provides a more robust uncertainty estimation of individual and group GABA+ detection in different brain regions, which may be useful in our understanding of GABA biochemistry in brain and its use for the diagnosis of related neuropsychiatric diseases.
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Affiliation(s)
- Meng Chen
- Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Congyu Liao
- Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Song Chen
- Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qiuping Ding
- Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Darong Zhu
- Department of Radiology, Hangzhou First People's Hospital, Hangzhou, Zhejiang, China
| | - Hui Liu
- MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China
| | - Xu Yan
- MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China
| | - Jianhui Zhong
- Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.,Department of Imaging Sciences, University of Rochester, Rochester, NY, USA.,Center for Innovative and Collaborative Detection and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, Zhejiang, China
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381
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Hone-Blanchet A, Edden RA, Fecteau S. Online Effects of Transcranial Direct Current Stimulation in Real Time on Human Prefrontal and Striatal Metabolites. Biol Psychiatry 2016; 80:432-438. [PMID: 26774968 PMCID: PMC5512102 DOI: 10.1016/j.biopsych.2015.11.008] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 11/11/2015] [Accepted: 11/13/2015] [Indexed: 11/17/2022]
Abstract
BACKGROUND Studies have reported that transcranial direct current stimulation (tDCS) can modulate human behaviors, symptoms, and neural activity; however, the neural effects during stimulation are unknown. Most studies compared the effects of tDCS before and after stimulation. The objective of our study was to measure the neurobiological effect of a single tDCS dose during stimulation. METHODS We conducted an online and offline protocol combining tDCS and magnetic resonance spectroscopy (MRS) in 17 healthy participants. We applied anodal tDCS over the left dorsolateral prefrontal cortex (DLPFC) and cathodal tDCS over the right DLPFC for 30 minutes, one of the most common montages used with tDCS. We collected MRS measurements in the left DLPFC and left striatum during tDCS and an additional MRS measurement in the left DLPFC immediately after the end of stimulation. RESULTS During stimulation, active tDCS, as compared with sham tDCS, elevated prefrontal N-acetylaspartate and striatal glutamate + glutamine but did not induce significant differences in prefrontal or striatal gamma-aminobutyric acid level. Immediately after stimulation, active tDCS, as compared with sham tDCS, did not significantly induce differences in glutamate + glutamine, N-acetylaspartate, or gamma-aminobutyric acid levels in the left DLPFC. CONCLUSIONS These observations indicate that tDCS over the DLPFC has fast excitatory effects, acting on prefrontal and striatal transmissions, and these effects are short lived. One may postulate that repeated sessions of tDCS might induce similar longer lasting effects of elevated prefrontal N-acetylaspartate and striatal glutamate + glutamine levels, which may contribute to its behavioral and clinical effects.
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Affiliation(s)
| | | | - Shirley Fecteau
- Centre Interdisciplinaire de Recherche en Réadaptation et Intégration Sociale, Centre de Recherche de l'Institut Universitaire en Santé Mentale de Québec, Faculté de médecine, Université Laval, Quebec City, Quebec, Canada; Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts..
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382
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Puts NAJ, Wodka EL, Harris AD, Crocetti D, Tommerdahl M, Mostofsky SH, Edden RAE. Reduced GABA and altered somatosensory function in children with autism spectrum disorder. Autism Res 2016; 10:608-619. [PMID: 27611990 DOI: 10.1002/aur.1691] [Citation(s) in RCA: 145] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2016] [Revised: 07/22/2016] [Accepted: 08/12/2016] [Indexed: 11/11/2022]
Abstract
BACKGROUND Abnormal responses to tactile stimuli are a common feature of autism spectrum disorder (ASD). Several lines of evidence suggest that GABAergic function, which has a crucial role in tactile processing, is altered in ASD. In this study, we determine whether in vivo GABA levels are altered in children with ASD, and whether alterations in GABA levels are associated with abnormal tactile function in these children. METHODS GABA-edited magnetic resonance spectroscopy was acquired in 37 children with Autism and 35 typically developing children (TDC) from voxels over primary sensorimotor and occipital cortices. Children performed tactile tasks previously shown to be altered in ASD, linked to inhibitory mechanisms. Detection threshold was measured with- and without the presence of a slowly increasing sub-threshold stimulus. Amplitude discrimination was measured with- and without the presence of an adapting stimulus, and frequency discrimination was measured. RESULTS Sensorimotor GABA levels were significantly reduced in children with autism compared to healthy controls. Occipital GABA levels were normal. Sensorimotor GABA levels correlated with dynamic detection threshold as well as with the effect of sub-threshold stimulation. Sensorimotor GABA levels also correlated with amplitude discrimination after adaptation (an effect absent in autism) and frequency discrimination in controls, but not in children with autism. CONCLUSIONS GABA levels correlate with behavioral measures of inhibition. Children with autism have reduced GABA, associated with abnormalities in tactile performance. We show here that altered in vivo GABA levels might predict abnormal tactile information processing in ASD and that the GABA system may be a future target for therapies. Autism Res 2016. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.
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Affiliation(s)
- Nicolaas A J Puts
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe Street, Baltimore, Maryland, 21287.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 N Broadway Street, Baltimore, Maryland, 21205
| | - Ericka L Wodka
- Center for Neurocognitive and Imaging Research, Kennedy Krieger Institute, 716 N Broadway, Baltimore, Maryland, 21205.,Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, Baltimore, Maryland, 21211.,Department of Behavioral Science and Psychiatry, Johns Hopkins University, School of Medicine, 600 N Wolfe Street, Baltimore, Maryland, 21287
| | - Ashley D Harris
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe Street, Baltimore, Maryland, 21287.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 N Broadway Street, Baltimore, Maryland, 21205.,Radiology, University of Calgary, 1403 - 29th Street N.W, Calgary, AB, T2N 2T9, Canada.,CAIR Program, Alberta Children's Hospital Research Institute, University of Calgary, 1403 - 29th Street N.W, Calgary, AB, T2N 2T9, Canada.,Hotchkiss Brain Institute and Alberta Children's Hospital Research Institute, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
| | - Deana Crocetti
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 N Broadway Street, Baltimore, Maryland, 21205.,Center for Neurocognitive and Imaging Research, Kennedy Krieger Institute, 716 N Broadway, Baltimore, Maryland, 21205
| | - Mark Tommerdahl
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599
| | - Stewart H Mostofsky
- Center for Neurocognitive and Imaging Research, Kennedy Krieger Institute, 716 N Broadway, Baltimore, Maryland, 21205.,Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Ave, Baltimore, Maryland, 21211.,Department of Neurology, Johns Hopkins School of Medicine, 600 N Wolfe Street, Baltimore, Maryland, 21287
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe Street, Baltimore, Maryland, 21287.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 N Broadway Street, Baltimore, Maryland, 21205
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383
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van Bussel FC, Backes WH, Hofman PA, Puts NA, Edden RA, van Boxtel MP, Schram MT, Stehouwer CD, Wildberger JE, Jansen JF. Increased GABA concentrations in type 2 diabetes mellitus are related to lower cognitive functioning. Medicine (Baltimore) 2016; 95:e4803. [PMID: 27603392 PMCID: PMC5023915 DOI: 10.1097/md.0000000000004803] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Type 2 diabetes mellitus is associated with accelerated cognitive decline. The underlying pathophysiological mechanisms still remain to be elucidated although it is known that insulin signaling modulates neurotransmitter activity, including inhibitory γ-aminobutyric acid (GABA) and excitatory glutamate (Glu) receptors. Therefore, we examined whether levels of GABA and Glu are related to diabetes status and cognitive performance.Forty-one participants with type 2 diabetes and 39 participants without type 2 diabetes underwent detailed cognitive assessments and 3-Tesla proton MR spectroscopy. The associations of neurotransmitters with type 2 diabetes and cognitive performance were examined using multivariate regression analyses controlling for age, sex, education, BMI, and percentage gray/white matter ratio in spectroscopic voxel.Analysis revealed higher GABA+ levels in participants with type 2 diabetes, in participants with higher fasting blood glucose levels and in participants with higher HbA1c levels, and higher GABA+ levels in participants with both high HbA1c levels and less cognitive performance.To conclude, participants with type 2 diabetes have alterations in the GABAergic neurotransmitter system, which are related to lower cognitive functioning, and hint at the involvement of an underlying metabolic mechanism.
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Affiliation(s)
- Frank C.G. van Bussel
- Departments of Radiology and Nuclear Medicine
- School for Mental Health and Neuroscience (MHeNS)
| | - Walter H. Backes
- Departments of Radiology and Nuclear Medicine
- School for Mental Health and Neuroscience (MHeNS)
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - Paul A.M. Hofman
- Departments of Radiology and Nuclear Medicine
- School for Mental Health and Neuroscience (MHeNS)
| | - Nicolaas A.J. Puts
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
| | - Richard A.E. Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
| | - Martin P.J. van Boxtel
- School for Mental Health and Neuroscience (MHeNS)
- Department of Psychiatry and Neuropsychology
| | - Miranda T. Schram
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Coen D.A. Stehouwer
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Joachim E. Wildberger
- Departments of Radiology and Nuclear Medicine
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jacobus F.A. Jansen
- Departments of Radiology and Nuclear Medicine
- School for Mental Health and Neuroscience (MHeNS)
- Correspondence: Jacobus F.A. Jansen, Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, PO Box 5800, 6202 AZ Maastricht, The Netherlands (e-mail: )
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384
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Wang Z, Zhang A, Zhao B, Gan J, Wang G, Gao F, Liu B, Gong T, Liu W, Edden RA. GABA+ levels in postmenopausal women with mild-to-moderate depression: A preliminary study. Medicine (Baltimore) 2016; 95:e4918. [PMID: 27684829 PMCID: PMC5265922 DOI: 10.1097/md.0000000000004918] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND It is increasingly being recognized that alterations of the GABAergic system are implicated in the pathophysiology of depression. This study aimed to explore in vivo gamma-aminobutyric acid (GABA) levels in the anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC) and posterior-cingulate cortex (PCC) of postmenopausal women with depression using magnetic resonance spectroscopy (H-MRS). METHODS Nineteen postmenopausal women with depression and thirteen healthy controls were enrolled in the study. All subjects underwent H-MRS of the ACC/mPFC and PCC using the "MEGA Point Resolved Spectroscopy Sequence" (MEGA-PRESS) technique. The severity of depression was assessed by 17-item Hamilton Depression Scale (HAMD). Quantification of MRS data was performed using Gannet program. Differences of GABA+ levels from patients and controls were tested using one-way analysis of variance. Spearman correlation coefficients were used to evaluate the linear associations between GABA+ levels and HAMD scores, as well as estrogen levels. RESULTS Significantly lower GABA+ levels were detected in the ACC/mPFC of postmenopausal women with depression compared to healthy controls (P = 0.002). No significant correlations were found between 17-HAMD/14-HAMA and GABA+ levels, either in ACC/mPFC (P = 0.486; r = 0.170/P = 0.814; r = -0.058) or PCC (P = 0.887; r = 0.035/ P = 0.987; r = -0.004) in the patients; there is also no significant correlation between GABA+ levels and estrogen levels in patients group (ACC/mPFC: P = 0.629, r = -0.018; PCC: P = 0.861, r = 0.043). CONCLUSION Significantly lower GABA+ levels were found in the ACC/mPFC of postmenopausal women with depression, suggesting that the dysfunction of the GABAergic system may also be involved in the pathogenesis of depression in postmenopausal women.
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Affiliation(s)
- Zhensong Wang
- Shandong Medical Imaging Research Institute Affiliated to Shandong University
- No. 2 Affiliated Hospital of Shandong Traditional Chinese Medicine University
| | - Aiying Zhang
- Affiliated Eye Hospital of Shandong Traditional Chinese Medicine University
| | - Bin Zhao
- Shandong Medical Imaging Research Institute Affiliated to Shandong University
| | - Jie Gan
- No. 2 Affiliated Hospital of Shandong Traditional Chinese Medicine University
| | - Guangbin Wang
- Shandong Medical Imaging Research Institute Affiliated to Shandong University
- Correspondence: Guangbin Wang, Shandong Medical Imaging Research Institute Affiliated to Shandong University, No. 324, Jing-Wu Road, Jinan, China (e-mail: )
| | - Fei Gao
- Shandong Medical Imaging Research Institute Affiliated to Shandong University
| | - Bo Liu
- Qi Lu Hospital of Shandong University, Jinan, China
| | - Tao Gong
- Shandong Medical Imaging Research Institute Affiliated to Shandong University
| | - Wen Liu
- Shandong Medical Imaging Research Institute Affiliated to Shandong University
| | - Richard A.E. Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine
- FM Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
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385
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Edited Magnetic Resonance Spectroscopy Detects an Age-Related Decline in Nonhuman Primate Brain GABA Levels. BIOMED RESEARCH INTERNATIONAL 2016; 2016:6523909. [PMID: 27660760 PMCID: PMC5021867 DOI: 10.1155/2016/6523909] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Revised: 06/09/2016] [Accepted: 07/13/2016] [Indexed: 01/22/2023]
Abstract
Recent research had shown a correlation between aging and decreasing Gamma-aminobutyric acid (GABA), the primary inhibitory neurotransmitter in the brain. However, how GABA level varies with age in the medial portion of the brain has not yet been studied. The purpose of this study was to investigate the GABA level variation with age focusing on the posterior cingulate cortex, which is the “core hub” of the default mode network. In this study, 14 monkeys between 4 and 21 years were recruited, and MEGA-PRESS MRS was performed to measure GABA levels, in order to explore a potential link between aging and GABA. Our results showed that a correlation between age and GABA+/Creatine ratio was at the edge of significance (r = −0.523, p = 0.081). There was also a near-significant trend between gray matter/white matter ratio and the GABA+/Creatine ratio (r = −0.518, p = 0.0848). Meanwhile, the correlation between age and grey matter showed no significance (r = −0.028, p = 0.93). Therefore, age and gray matter/white matter ratio account for different part of R-squared (adjusted R-squared = 0.5187) as independent variables for predicting GABA levels. Adjusted R-squared is about 0.5 for two independent variables. These findings suggest that there is internal neurochemical variation of GABA levels in the nonhuman primates associated with normal aging and structural brain decline.
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386
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Saleh MG, Oeltzschner G, Chan KL, Puts NAJ, Mikkelsen M, Schär M, Harris AD, Edden RAE. Simultaneous edited MRS of GABA and glutathione. Neuroimage 2016; 142:576-582. [PMID: 27534734 DOI: 10.1016/j.neuroimage.2016.07.056] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Revised: 07/12/2016] [Accepted: 07/27/2016] [Indexed: 12/12/2022] Open
Abstract
Edited MRS allows the detection of low-concentration metabolites, whose signals are not resolved in the MR spectrum. Tailored acquisitions can be designed to detect, for example, the inhibitory neurotransmitter γ-aminobutyric acid (GABA), or the reduction-oxidation (redox) compound glutathione (GSH), and single-voxel edited experiments are generally acquired at a rate of one metabolite-per-experiment. We demonstrate that simultaneous detection of the overlapping signals of GABA and GSH is possible using Hadamard Encoding and Reconstruction of Mega-Edited Spectroscopy (HERMES). HERMES applies orthogonal editing encoding (following a Hadamard scheme), such that GSH- and GABA-edited difference spectra can be reconstructed from a single multiplexed experiment. At a TE of 80ms, 20-ms editing pulses are applied at 4.56ppm (on GSH),1.9ppm (on GABA), both offsets (using a dual-lobe cosine-modulated pulse) or neither. Hadamard combinations of the four sub-experiments yield GABA and GSH difference spectra. It is shown that HERMES gives excellent separation of the edited GABA and GSH signals in phantoms, and resulting edited lineshapes agree well with separate Mescher-Garwood Point-resolved Spectroscopy (MEGA-PRESS) acquisitions. In vivo, the quality and signal-to-noise ratio (SNR) of HERMES spectra are similar to those of sequentially acquired MEGA-PRESS spectra, with the benefit of saving half the acquisition time.
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Affiliation(s)
- Muhammad G Saleh
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Kimberly L Chan
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - 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 Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Mark Mikkelsen
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Michael Schär
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ashley D Harris
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Child and Adolescent Imaging Research Program, Alberta Children's Hospital Research Institute, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - 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 Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
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387
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Cook E, Hammett ST, Larsson J. GABA predicts visual intelligence. Neurosci Lett 2016; 632:50-4. [PMID: 27495012 PMCID: PMC5054983 DOI: 10.1016/j.neulet.2016.07.053] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 07/22/2016] [Accepted: 07/26/2016] [Indexed: 10/25/2022]
Abstract
Early psychological researchers proposed a link between intelligence and low-level perceptual performance. It was recently suggested that this link is driven by individual variations in the ability to suppress irrelevant information, evidenced by the observation of strong correlations between perceptual surround suppression and cognitive performance. However, the neural mechanisms underlying such a link remain unclear. A candidate mechanism is neural inhibition by gamma-aminobutyric acid (GABA), but direct experimental support for GABA-mediated inhibition underlying suppression is inconsistent. Here we report evidence consistent with a global suppressive mechanism involving GABA underlying the link between sensory performance and intelligence. We measured visual cortical GABA concentration, visuo-spatial intelligence and visual surround suppression in a group of healthy adults. Levels of GABA were strongly predictive of both intelligence and surround suppression, with higher levels of intelligence associated with higher levels of GABA and stronger surround suppression. These results indicate that GABA-mediated neural inhibition may be a key factor determining cognitive performance and suggests a physiological mechanism linking surround suppression and intelligence.
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Affiliation(s)
- Emily Cook
- Department of Psychology and CUBIC, Royal Holloway, University of London, Egham, TW20 0EX, United Kingdom.
| | - Stephen T Hammett
- Department of Psychology and CUBIC, Royal Holloway, University of London, Egham, TW20 0EX, United Kingdom.
| | - Jonas Larsson
- Department of Psychology and CUBIC, Royal Holloway, University of London, Egham, TW20 0EX, United Kingdom.
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388
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Violante IR, Patricio M, Bernardino I, Rebola J, Abrunhosa AJ, Ferreira N, Castelo-Branco M. GABA deficiency in NF1: A multimodal [11C]-flumazenil and spectroscopy study. Neurology 2016; 87:897-904. [PMID: 27473134 PMCID: PMC5035153 DOI: 10.1212/wnl.0000000000003044] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 05/17/2016] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To provide a comprehensive investigation of the γ-aminobutyric acid (GABA) system in patients with neurofibromatosis type 1 (NF1) that allows understanding the nature of the GABA imbalance in humans at pre- and postsynaptic levels. METHODS In this cross-sectional study, we employed multimodal imaging and spectroscopy measures to investigate GABA type A (GABAA) receptor binding, using [(11)C]-flumazenil PET, and GABA concentration, using magnetic resonance spectroscopy (MRS). Fourteen adult patients with NF1 and 13 matched controls were included in the study. MRS was performed in the occipital cortex and in a frontal region centered in the functionally localized frontal eye fields. PET and MRS acquisitions were performed in the same day. RESULTS Patients with NF1 have reduced concentration of GABA+ in the occipital cortex (p = 0.004) and frontal eye fields (p = 0.026). PET results showed decreased binding of GABAA receptors in patients in the parieto-occipital cortex, midbrain, and thalamus, which are not explained by decreased gray matter levels. CONCLUSIONS Abnormalities in the GABA system in NF1 involve both GABA concentration and GABAA receptor density suggestive of neurodevelopmental synaptopathy with both pre- and postsynaptic involvement.
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Affiliation(s)
- Inês R Violante
- From the Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine (I.R.V., M.P., I.B., J.R., M.C.-B.), Laboratory of Biostatistics and Medical Informatics, Faculty of Medicine (M.P., M.C.-B.), and Institute of Nuclear Sciences Applied to Health (A.J.A., N.F., M.C.-B.), University of Coimbra, Portugal; and Division of Brain Sciences (I.R.V.), Department of Medicine, Hammersmith Hospital Campus, Imperial College London, UK.
| | - Miguel Patricio
- From the Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine (I.R.V., M.P., I.B., J.R., M.C.-B.), Laboratory of Biostatistics and Medical Informatics, Faculty of Medicine (M.P., M.C.-B.), and Institute of Nuclear Sciences Applied to Health (A.J.A., N.F., M.C.-B.), University of Coimbra, Portugal; and Division of Brain Sciences (I.R.V.), Department of Medicine, Hammersmith Hospital Campus, Imperial College London, UK
| | - Inês Bernardino
- From the Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine (I.R.V., M.P., I.B., J.R., M.C.-B.), Laboratory of Biostatistics and Medical Informatics, Faculty of Medicine (M.P., M.C.-B.), and Institute of Nuclear Sciences Applied to Health (A.J.A., N.F., M.C.-B.), University of Coimbra, Portugal; and Division of Brain Sciences (I.R.V.), Department of Medicine, Hammersmith Hospital Campus, Imperial College London, UK
| | - José Rebola
- From the Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine (I.R.V., M.P., I.B., J.R., M.C.-B.), Laboratory of Biostatistics and Medical Informatics, Faculty of Medicine (M.P., M.C.-B.), and Institute of Nuclear Sciences Applied to Health (A.J.A., N.F., M.C.-B.), University of Coimbra, Portugal; and Division of Brain Sciences (I.R.V.), Department of Medicine, Hammersmith Hospital Campus, Imperial College London, UK
| | - Antero J Abrunhosa
- From the Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine (I.R.V., M.P., I.B., J.R., M.C.-B.), Laboratory of Biostatistics and Medical Informatics, Faculty of Medicine (M.P., M.C.-B.), and Institute of Nuclear Sciences Applied to Health (A.J.A., N.F., M.C.-B.), University of Coimbra, Portugal; and Division of Brain Sciences (I.R.V.), Department of Medicine, Hammersmith Hospital Campus, Imperial College London, UK
| | - Nuno Ferreira
- From the Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine (I.R.V., M.P., I.B., J.R., M.C.-B.), Laboratory of Biostatistics and Medical Informatics, Faculty of Medicine (M.P., M.C.-B.), and Institute of Nuclear Sciences Applied to Health (A.J.A., N.F., M.C.-B.), University of Coimbra, Portugal; and Division of Brain Sciences (I.R.V.), Department of Medicine, Hammersmith Hospital Campus, Imperial College London, UK
| | - Miguel Castelo-Branco
- From the Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine (I.R.V., M.P., I.B., J.R., M.C.-B.), Laboratory of Biostatistics and Medical Informatics, Faculty of Medicine (M.P., M.C.-B.), and Institute of Nuclear Sciences Applied to Health (A.J.A., N.F., M.C.-B.), University of Coimbra, Portugal; and Division of Brain Sciences (I.R.V.), Department of Medicine, Hammersmith Hospital Campus, Imperial College London, UK
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389
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GABA levels in the ventromedial prefrontal cortex during the viewing of appetitive and disgusting food images. Neuroscience 2016; 333:114-22. [PMID: 27436536 DOI: 10.1016/j.neuroscience.2016.07.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 07/05/2016] [Accepted: 07/07/2016] [Indexed: 02/06/2023]
Abstract
Characterizing how the brain appraises the psychological dimensions of reward is one of the central topics of neuroscience. It has become clear that dopamine neurons are implicated in the transmission of both rewarding information and aversive and alerting events through two different neuronal populations involved in encoding the motivational value and the motivational salience of stimuli, respectively. Nonetheless, there is less agreement on the role of the ventromedial prefrontal cortex (vmPFC) and the related neurotransmitter release during the processing of biologically relevant stimuli. To address this issue, we employed magnetic resonance spectroscopy (MRS), a non-invasive methodology that allows detection of some metabolites in the human brain in vivo, in order to assess the role of the vmPFC in encoding stimulus value rather than stimulus salience. Specifically, we measured gamma-aminobutyric acid (GABA) and, with control purposes, Glx levels in healthy subjects during the observation of appetitive and disgusting food images. We observed a decrease of GABA and no changes in Glx concentration in the vmPFC in both conditions. Furthermore, a comparatively smaller GABA reduction during the observation of appetitive food images than during the observation of disgusting food images was positively correlated with the scores obtained to the body image concerns sub-scale of Body Uneasiness Test (BUT). These results are consistent with the idea that the vmPFC plays a crucial role in processing both rewarding and aversive stimuli, possibly by encoding stimulus salience through glutamatergic and/or noradrenergic projections to deeper mesencephalic and limbic areas.
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390
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Reproducibility of macromolecule suppressed GABA measurement using motion and shim navigated MEGA-SPECIAL with LCModel, jMRUI and GANNET. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2016; 29:863-874. [PMID: 27393351 DOI: 10.1007/s10334-016-0578-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 06/20/2016] [Accepted: 06/21/2016] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Measuring the pure form of GABA has become increasingly important because of its association with behaviour and certain pathologies. The aim of this study was to assess the reproducibility of GABA measurements using a shim and motion navigated MEGA-SPECIAL sequence with LCModel, jMRUI and GANNET software. MATERIALS AND METHODS Motion and shim navigated MEGA-SPECIAL scans were acquired in 20 healthy subjects. Two acquisitions were performed for each of two regions: the anterior cingulate (ACC) and medial-parietal (PAR) cortices. Absolute GABA concentration ([Formula: see text]) and GABA-to-Creatine ratio (GABA/Cr) were quantified using the three software packages. RESULTS Using the within-subject coefficient of variation (CVws) as an index, reproducibility for both GABAH20 and GABA/Cr ranged from 13 to 22 % in the ACC and 13 to 18 % in PAR using the three software packages. CONCLUSION Based on CVws, GABA concentrations in both the ACC and PAR are reproducible using a shim and motion navigated MEGA-SPECIAL sequence with any of the three software packages, thus demonstrating the ability to quantify the pure form of GABA using these software in studies relating GABA to pathology and healthy behaviour.
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391
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Shungu DC, Mao X, Gonzales R, Soones TN, Dyke JP, van der Veen JW, Kegeles LS. Brain γ-aminobutyric acid (GABA) detection in vivo with the J-editing (1) H MRS technique: a comprehensive methodological evaluation of sensitivity enhancement, macromolecule contamination and test-retest reliability. NMR IN BIOMEDICINE 2016; 29:932-42. [PMID: 27173449 PMCID: PMC4909570 DOI: 10.1002/nbm.3539] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2015] [Revised: 03/17/2016] [Accepted: 03/21/2016] [Indexed: 05/21/2023]
Abstract
Abnormalities in brain γ-aminobutyric acid (GABA) have been implicated in various neuropsychiatric and neurological disorders. However, in vivo GABA detection by (1) H MRS presents significant challenges arising from the low brain concentration, overlap by much stronger resonances and contamination by mobile macromolecule (MM) signals. This study addresses these impediments to reliable brain GABA detection with the J-editing difference technique on a 3-T MR system in healthy human subjects by: (i) assessing the sensitivity gains attainable with an eight-channel phased-array head coil; (ii) determining the magnitude and anatomic variation of the contamination of GABA by MM; and (iii) estimating the test-retest reliability of the measurement of GABA with this method. Sensitivity gains and test-retest reliability were examined in the dorsolateral prefrontal cortex (DLPFC), whereas MM levels were compared across three cortical regions: DLPFC, the medial prefrontal cortex (MPFC) and the occipital cortex (OCC). A three-fold higher GABA detection sensitivity was attained with the eight-channel head coil compared with the standard single-channel head coil in DLPFC. Despite significant anatomical variation in GABA + MM and MM across the three brain regions (p < 0.05), the contribution of MM to GABA + MM was relatively stable across the three voxels, ranging from 41% to 49%, a non-significant regional variation (p = 0.58). The test-retest reliability of GABA measurement, expressed as either the ratio to voxel tissue water (W) or to total creatine, was found to be very high for both the single-channel coil and the eight-channel phased-array coil. For the eight-channel coil, for example, Pearson's correlation coefficient of test vs. retest for GABA/W was 0.98 (R(2) = 0.96, p = 0.0007), the percentage coefficient of variation (CV) was 1.25% and the intraclass correlation coefficient (ICC) was 0.98. Similar reliability was also found for the co-edited resonance of combined glutamate and glutamine (Glx) for both coils. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Dikoma C. Shungu
- Department of Radiology, Weill Cornell Medical College, New York, NY
| | - Xiangling Mao
- Department of Radiology, Weill Cornell Medical College, New York, NY
| | - Robyn Gonzales
- Department of Psychiatry, Columbia University, New York, NY
| | | | - Jonathan P. Dyke
- Department of Radiology, Weill Cornell Medical College, New York, NY
| | | | - Lawrence S. Kegeles
- Department of Psychiatry, Columbia University, New York, NY
- Department of Radiology, Columbia University, New York, NY
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392
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Grewal M, Dabas A, Saharan S, Barker PB, Edden RAE, Mandal PK. GABA quantitation using MEGA-PRESS: Regional and hemispheric differences. J Magn Reson Imaging 2016; 44:1619-1623. [PMID: 27264205 DOI: 10.1002/jmri.25324] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 05/13/2016] [Accepted: 05/15/2016] [Indexed: 12/28/2022] Open
Abstract
PURPOSE To measure in vivo brain gamma-aminobutyric acid (GABA) concentrations, and assess regional and hemispheric differences, using MR spectroscopy (1 H-MRS). MATERIALS AND METHODS GABA concentrations were measured bilaterally in the frontal cortex (FC), parietal cortex (PC), and occipital cortex (OC) of 21 healthy young subjects (age range 20-29 years) using 3 Tesla Philips scanner. A univariate general linear model analysis was carried out to assess the effect of region and hemisphere as well as their interaction on GABA concentrations while controlling for sex and gray matter differences. RESULTS Results indicated a significant regional dependence of GABA levels [F(2,89) = 11.725, P < 0.001, ηp2 = .209] with lower concentrations in the FC compared with both PC (P < 0.001) and OC (P < 0.001) regions. There was no significant hemispheric differences in GABA levels [F(1,89) = .172; P = 0.679; ηp2 = .002]. CONCLUSION This study reports the concentrations of GABA in the FC, PC, and OC brain regions of healthy young adults. GABA distribution exhibits hemispheric symmetry, but varies across regions; GABA levels in the FC are lower than those in the PC and OC. J. Magn. Reson. Imaging 2016;44:1619-1623.
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Affiliation(s)
- Monika Grewal
- Neuroimaging and Neurospectroscopy Laboratory, National Brain Research Centre, Gurgaon, India
| | - Aroma Dabas
- Neuroimaging and Neurospectroscopy Laboratory, National Brain Research Centre, Gurgaon, India
| | - Sumiti Saharan
- Neuroimaging and Neurospectroscopy Laboratory, National Brain Research Centre, Gurgaon, India
| | - Peter B Barker
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, Maryland, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Richard A E Edden
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, Maryland, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Pravat K Mandal
- Neuroimaging and Neurospectroscopy Laboratory, National Brain Research Centre, Gurgaon, India.,The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, Maryland, USA
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393
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Beta Peak Frequencies at Rest Correlate with Endogenous GABA+/Cr Concentrations in Sensorimotor Cortex Areas. PLoS One 2016; 11:e0156829. [PMID: 27258089 PMCID: PMC4892568 DOI: 10.1371/journal.pone.0156829] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Accepted: 05/21/2016] [Indexed: 01/30/2023] Open
Abstract
Neuronal oscillatory activity in the beta band (15-30 Hz) is a prominent signal within the human sensorimotor cortex. Computational modeling and pharmacological modulation studies suggest an influence of GABAergic interneurons on the generation of beta band oscillations. Accordingly, studies in humans have demonstrated a correlation between GABA concentrations and power of beta band oscillations. It remains unclear, however, if GABA concentrations also influence beta peak frequencies and whether this influence is present in the sensorimotor cortex at rest and without pharmacological modulation. In the present study, we investigated the relation between endogenous GABA concentration (measured by magnetic resonance spectroscopy) and beta oscillations (measured by magnetoencephalography) at rest in humans. GABA concentrations and beta band oscillations were measured for left and right sensorimotor and occipital cortex areas. A significant positive linear correlation between GABA concentration and beta peak frequency was found for the left sensorimotor cortex, whereas no significant correlations were found for the right sensorimotor and the occipital cortex. The results show a novel connection between endogenous GABA concentration and beta peak frequency at rest. This finding supports previous results that demonstrated a connection between oscillatory beta activity and pharmacologically modulated GABA concentration in the sensorimotor cortex. Furthermore, the results demonstrate that for a predominantly right-handed sample, the correlation between beta band oscillations and endogenous GABA concentrations is evident only in the left sensorimotor cortex.
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394
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Oeltzschner G, Butz M, Wickrath F, Wittsack HJ, Schnitzler A. Covert hepatic encephalopathy: elevated total glutathione and absence of brain water content changes. Metab Brain Dis 2016; 31:517-27. [PMID: 26563124 DOI: 10.1007/s11011-015-9760-3] [Citation(s) in RCA: 8] [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] [Received: 09/22/2015] [Accepted: 11/06/2015] [Indexed: 01/20/2023]
Abstract
Recent pathophysiological models suggest that oxidative stress and hyperammonemia lead to a mild brain oedema in hepatic encephalopathy (HE). Glutathione (GSx) is a major cellular antioxidant and known to be involved in the interception of both. The aim of this work was to study total glutathione levels in covert HE (minimal HE and HE grade 1) and to investigate their relationship with local brain water content, levels of glutamine (Gln), myo-inositol (mI), neurotransmitter levels, critical flicker frequency (CFF), and blood ammonia. Proton magnetic resonance spectroscopy ((1)H MRS) data were analysed from visual and sensorimotor cortices of thirty patients with covert HE and 16 age-matched healthy controls. Total glutathione levels (GSx/Cr) were quantified with respect to creatine. Furthermore, quantitative MRI brain water content measures were evaluated. Data were tested for links with the CFF and blood ammonia. GSx/Cr was elevated in the visual (mHE) and sensorimotor (mHE, HE 1) MRS volumes and correlated with blood ammonia levels (both P < 0.001). It was further linked to Gln/Cr and mI/Cr (P < 0.01 in visual, P < 0.001 in sensorimotor) and to GABA/Cr (P < 0.01 in visual). Visual GSx/Cr correlated with brain water content in the thalamus, nucleus caudatus, and visual cortex (P < 0.01). Brain water measures did neither show group effects nor correlations with CFF or blood ammonia. Elevated total glutathione levels in covert HE (< HE 2) correlate with blood ammonia and may be a regional-specific reaction to hyperammonemia and oxidative stress. Brain water content is locally linked to visual glutathione levels, but appears not to be associated with changes of clinical parameters. This might suggest that cerebral oedema is only marginally responsible for the symptoms of covert HE.
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Affiliation(s)
- Georg Oeltzschner
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Universitätsstr. 1, D-40225, Düsseldorf, Germany.
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich-Heine-University Düsseldorf, D-40225, Düsseldorf, Germany.
| | - Markus Butz
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Universitätsstr. 1, D-40225, Düsseldorf, Germany
| | - Frithjof Wickrath
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich-Heine-University Düsseldorf, D-40225, Düsseldorf, Germany
| | - Hans-Jörg Wittsack
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich-Heine-University Düsseldorf, D-40225, Düsseldorf, Germany
| | - Alfons Schnitzler
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Universitätsstr. 1, D-40225, Düsseldorf, Germany
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395
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Edden RAE, Oeltzschner G, Harris AD, Puts NAJ, Chan KL, Boer VO, Schär M, Barker PB. Prospective frequency correction for macromolecule-suppressed GABA editing at 3T. J Magn Reson Imaging 2016; 44:1474-1482. [PMID: 27239903 DOI: 10.1002/jmri.25304] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Accepted: 04/25/2016] [Indexed: 11/08/2022] Open
Abstract
PURPOSE To investigate the effects of B0 field offsets and drift on macromolecule (MM)-suppressed GABA-editing experiments, and to implement and test a prospective correction scheme. "Symmetric" editing schemes are proposed to suppress unwanted coedited MM signals in GABA editing. MATERIALS AND METHODS Full density-matrix simulations of both conventional (nonsymmetric) and symmetric MM-suppressed editing schemes were performed for the GABA spin system to evaluate their offset-dependence. Phantom and in vivo (15 subjects at 3T) GABA-edited experiments with symmetrical suppression of MM signals were performed to quantify the effects of field offsets on the total GABA+MM signal (designated GABA+). A prospective frequency correction method based on interleaved water referencing (IWR) acquisitions was implemented and its experimental performance evaluated during positive and negative drift. RESULTS Simulations show that the signal from MM-suppressed symmetrical editing schemes is an order of magnitude more susceptible to field offsets than the signal from nonsymmetric editing schemes. The MM-suppressed GABA signal changes by 8.6% per Hz for small field offsets. IWR significantly reduces variance in the field offset and measured GABA levels (both P < 0.001 by F-tests), maintaining symmetric suppression of MM signal. CONCLUSION Symmetrical editing schemes substantially increase the dependence of measurements on B0 field offsets, which can arise due to patient movement and/or scanner instability. It is recommended that symmetrical editing should be used in combination with effective B0 stabilization, such as that provided by IWR. J. Magn. Reson. Imaging 2016;44:1474-1482.
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Affiliation(s)
- Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Ashley D Harris
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,CAIR Program, Alberta Children's Hospital Research Institute, University of Calgary, AB, Canada.,Department of Radiology, University of Calgary, AB, Canada.,Hotchkiss Brain Institute and Alberta Children's Hospital Research Institute, Calgary, AB, Canada
| | - Nicolaas A J Puts
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Kimberly L Chan
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Vincent O Boer
- Hvidovre Hospital, Danish Research Center for Magnetic Resonance, Hvidovre, Denmark
| | - Michael Schär
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Peter B Barker
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
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396
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Use of quantitative brain water imaging as concentration reference for J-edited MR spectroscopy of GABA. Magn Reson Imaging 2016; 34:1057-63. [PMID: 27109486 DOI: 10.1016/j.mri.2016.04.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 04/08/2016] [Accepted: 04/17/2016] [Indexed: 02/06/2023]
Abstract
PURPOSE To compare two different methods of obtaining the water reference for determination of quantitative water-scaled in vivo concentration estimates of γ-aminobutyric acid (GABA). METHODS Water-scaled GABA estimates from localized J-difference edited MR spectroscopy experiments can be computed using standard values for tissue-specific water content and relaxation times. Water content and relaxation may, however, be altered in pathology. This work re-analyzed data from a recent study in healthy controls and patients with minimal (mHE) or grade I (HE 1) hepatic encephalopathy, a disease associated with slight elevation of brain water content. J-difference edited MR spectroscopy data were combined with quantitative brain water measures, which provided individual water density references and T1 relaxation times. Resulting GABA estimates were compared to concentration values obtained using standard tissue-specific water content and relaxation values. RESULTS Occipital GABA concentration values obtained from individual water and T1 maps were 1.64±0.35mM in controls, and significantly higher (P<0.01) than in mHE (1.15±0.28mM) and HE 1 patients (1.18±0.09mM). Results from the tissue-dependent approach (1.58±0.30mM (controls), 1.10±0.27mM (mHE) and 1.12±0.12mM (HE 1)) were slightly lower (P<0.05 in each group). CONCLUSION Water-scaled in vivo GABA estimates can be obtained with individual water density and T1 relaxation mapping. This approach may be useful for studying GABA levels in pathologies with substantial brain water content or relaxation changes.
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397
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Chan KL, Puts NAJ, Schär M, Barker PB, Edden RAE. HERMES: Hadamard encoding and reconstruction of MEGA-edited spectroscopy. Magn Reson Med 2016; 76:11-9. [PMID: 27089868 DOI: 10.1002/mrm.26233] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 03/01/2016] [Accepted: 03/10/2016] [Indexed: 12/25/2022]
Abstract
PURPOSE To investigate a novel Hadamard-encoded spectral editing scheme and evaluate its performance in simultaneously quantifying N-acetyl aspartate (NAA) and N-acetyl aspartyl glutamate (NAAG) at 3 Tesla. METHODS Editing pulses applied according to a Hadamard encoding scheme allow the simultaneous acquisition of multiple metabolites. The method, called HERMES (Hadamard Encoding and Reconstruction of MEGA-Edited Spectroscopy), was optimized to detect NAA and NAAG simultaneously using density-matrix simulations and validated in phantoms at 3T. In vivo data were acquired in the centrum semiovale of 12 normal subjects. The NAA:NAAG concentration ratio was determined by modeling in vivo data using simulated basis functions. Simulations were also performed for potentially coedited molecules with signals within the detected NAA/NAAG region. RESULTS Simulations and phantom experiments show excellent segregation of NAA and NAAG signals into the intended spectra, with minimal crosstalk. Multiplet patterns show good agreement between simulations and phantom and in vivo data. In vivo measurements show that the relative peak intensities of the NAA and NAAG spectra are consistent with a NAA:NAAG concentration ratio of 4.22:1 in good agreement with literature. Simulations indicate some coediting of aspartate and glutathione near the detected region (editing efficiency: 4.5% and 78.2%, respectively, for the NAAG reconstruction and 5.1% and 19.5%, respectively, for the NAA reconstruction). CONCLUSION The simultaneous and separable detection of two otherwise overlapping metabolites using HERMES is possible at 3T. Magn Reson Med 76:11-19, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Kimberly L Chan
- Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Nicolaas A J Puts
- F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael Schär
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Peter B Barker
- F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Richard A E Edden
- F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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398
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Tsai SY, Fang CH, Wu TY, Lin YR. Effects of Frequency Drift on the Quantification of Gamma-Aminobutyric Acid Using MEGA-PRESS. Sci Rep 2016; 6:24564. [PMID: 27079873 PMCID: PMC4832206 DOI: 10.1038/srep24564] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 03/31/2016] [Indexed: 01/04/2023] Open
Abstract
The MEGA-PRESS method is the most common method used to measure γ-aminobutyric acid (GABA) in the brain at 3T. It has been shown that the underestimation of the GABA signal due to B0 drift up to 1.22 Hz/min can be reduced by post-frequency alignment. In this study, we show that the underestimation of GABA can still occur even with post frequency alignment when the B0 drift is up to 3.93 Hz/min. The underestimation can be reduced by applying a frequency shift threshold. A total of 23 subjects were scanned twice to assess the short-term reproducibility, and 14 of them were scanned again after 2–8 weeks to evaluate the long-term reproducibility. A linear regression analysis of the quantified GABA versus the frequency shift showed a negative correlation (P < 0.01). Underestimation of the GABA signal was found. When a frequency shift threshold of 0.125 ppm (15.5 Hz or 1.79 Hz/min) was applied, the linear regression showed no statistically significant difference (P > 0.05). Therefore, a frequency shift threshold at 0.125 ppm (15.5 Hz) can be used to reduce underestimation during GABA quantification. For data with a B0 drift up to 3.93 Hz/min, the coefficients of variance of short-term and long-term reproducibility for the GABA quantification were less than 10% when the frequency threshold was applied.
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Affiliation(s)
- Shang-Yueh Tsai
- Graduate Institute of Applied Physics, National Chengchi University, Taipei, Taiwan.,Research Center for Mind, Brain and Learning, National Chengchi University, Taipei, Taiwan
| | - Chun-Hao Fang
- Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Thai-Yu Wu
- Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Yi-Ru Lin
- Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
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399
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Leal A, Vieira JP, Lopes R, Nunes RG, Gonçalves SI, Lopes da Silva F, Figueiredo P. Dynamics of epileptic activity in a peculiar case of childhood absence epilepsy and correlation with thalamic levels of GABA. EPILEPSY & BEHAVIOR CASE REPORTS 2016; 5:57-65. [PMID: 27144122 PMCID: PMC4840417 DOI: 10.1016/j.ebcr.2016.03.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 03/14/2016] [Accepted: 03/25/2016] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Childhood absence epilepsy (CAE) is a syndrome with well-defined electroclinical features but unknown pathological basis. An increased thalamic tonic GABA inhibition has recently been discovered on animal models (Cope et al., 2009), but its relevance for human CAE is unproven. METHODS We studied an 11-year-old boy, presenting the typical clinical features of CAE, but spike-wave discharges (SWD) restricted to one hemisphere. RESULTS High-resolution EEG failed to demonstrate independent contralateral hemisphere epileptic activity. Consistently, simultaneous EEG-fMRI revealed the typical thalamic BOLD activation, associated with caudate and default mode network deactivation, but restricted to the hemisphere with SWD. Cortical BOLD activations were localized on the ipsilateral pars transverse. Magnetic resonance spectroscopy, using MEGA-PRESS, showed that the GABA/creatine ratio was 2.6 times higher in the hemisphere with SWD than in the unaffected one, reflecting a higher GABA concentration. Similar comparisons for the patient's occipital cortex and thalamus of a healthy volunteer yielded asymmetries below 25%. SIGNIFICANCE In a clinical case of CAE with EEG and fMRI-BOLD manifestations restricted to one hemisphere, we found an associated increase in thalamic GABA concentration consistent with a role for this abnormality in human CAE.
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Affiliation(s)
- Alberto Leal
- Department of Neurophysiology, Centro Hospitalar Psiquiátrico de Lisboa, Lisbon, Portugal`
| | - José P Vieira
- Department of Pediatric Neurology, Hospital Dona Estefânia, Lisbon, Portugal
| | - Ricardo Lopes
- Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
| | - Rita G Nunes
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Sónia I Gonçalves
- Institute of Biomedical Imaging and Life Sciences, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Fernando Lopes da Silva
- Center of Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, The Netherlands; Department of Bioengineering and Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Universidade de Lisboa, Portugal
| | - Patrícia Figueiredo
- Department of Bioengineering and Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Universidade de Lisboa, Portugal
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400
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Ford TC, Crewther DP. A Comprehensive Review of the (1)H-MRS Metabolite Spectrum in Autism Spectrum Disorder. Front Mol Neurosci 2016; 9:14. [PMID: 27013964 PMCID: PMC4783404 DOI: 10.3389/fnmol.2016.00014] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Accepted: 02/16/2016] [Indexed: 01/11/2023] Open
Abstract
Neuroimaging studies of neuropsychiatric behavior biomarkers across spectrum disorders are typically based on diagnosis, thus failing to account for the heterogeneity of multi-dimensional spectrum disorders such as autism (ASD). Control group trait phenotypes are also seldom reported. Proton magnetic resonance spectroscopy (1H-MRS) measures the abundance of neurochemicals such as neurotransmitters and metabolites and hence can probe disorder phenotypes at clinical and sub-clinical levels. This detailed review summarizes and critiques the current 1H-MRS research in ASD. The literature reports reduced N-acetylaspartate (NAA), glutamate and glutamine (Glx), γ-aminobutyric acid (GABA), creatine and choline, and increased glutamate for children with ASD. Adult studies are few and results are inconclusive. Overall, the literature has several limitations arising from differences in 1H-MRS methodology and sample demographics. We argue that more consistent methods and greater emphasis on phenotype studies will advance understanding of underlying cortical metabolite disturbance in ASD, and the detection, diagnosis, and treatment of ASD and other multi-dimensional psychiatric disorders.
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Affiliation(s)
- Talitha C Ford
- Faculty of Health, Arts and Design, Centre for Human Psychopharmacology, Swinburne University of Technology Melbourne, VIC, Australia
| | - David P Crewther
- Faculty of Health, Arts and Design, Centre for Human Psychopharmacology, Swinburne University of Technology Melbourne, VIC, Australia
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