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Hepsomali P, Costabile A, Schoemaker M, Imakulata F, Allen P. Adherence to unhealthy diets is associated with altered frontal gamma-aminobutyric acid and glutamate concentrations and grey matter volume: preliminary findings. Nutr Neurosci 2024:1-13. [PMID: 38794782 DOI: 10.1080/1028415x.2024.2355603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
OBJECTIVES Common mental disorders (CMD) are associated with impaired frontal excitatory/inhibitory (E/I) balance and reduced grey matter volume (GMV). Larger GMV (in the areas that are implicated in CMD-pathology) and improved CMD-symptomatology have been observed in individuals who adhere to high quality diets. Moreover, preclinical studies have shown altered neurometabolites (primarily gamma-aminobutyric acid: GABA and glutamate: GLU) in relation to diet quality. However, neurochemical correlates of diet quality and how these neurobiological changes are associated with CMD and with its transdiagnostic factor, rumination, is unknown in humans. Therefore, in this study, we examined the associations between diet quality and frontal cortex neuro-chemistry and structure, as well as CMD and rumination in humans. METHODS Thirty adults were classified into high and low diet quality groups and underwent 1H-MRS to measure medial prefrontal cortex (mPFC) metabolite concentrations and volumetric imaging to measure GMV. RESULTS Low (vs High) diet quality group had reduced mPFC-GABA and elevated mPFC-GLU concentrations, as well as reduced right precentral gyrus (rPCG) GMV. However, CMD and rumination were not associated with diet quality. Notably, we observed a significant negative correlation between rumination and rPCG-GMV and a marginally significant association between rumination and mPFC-GLU concentrations. There was also a marginally significant association between mPFC-GLU concentrations and rPCG-GMV. DISCUSSION Adhering to unhealthy dietary patterns may be associated with compromised E/I balance, and this could affect GMV, and subsequently, rumination.
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Affiliation(s)
- Piril Hepsomali
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Adele Costabile
- School of Life and Health Sciences, University of Roehampton, London, UK
| | | | | | - Paul Allen
- Department of Neuroimaging, Kings College London, Institute of Psychology and Neuroscience, London, UK
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2
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Bugler H, Berto R, Souza R, Harris AD. Frequency and phase correction of GABA-edited magnetic resonance spectroscopy using complex-valued convolutional neural networks. Magn Reson Imaging 2024; 111:186-195. [PMID: 38744351 DOI: 10.1016/j.mri.2024.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/16/2024]
Abstract
PURPOSE To determine the significance of complex-valued inputs and complex-valued convolutions compared to real-valued inputs and real-valued convolutions in convolutional neural networks (CNNs) for frequency and phase correction (FPC) of GABA-edited magnetic resonance spectroscopy (MRS) data. METHODS An ablation study using simulated data was performed to determine the most effective input (real or complex) and convolution type (real or complex) to predict frequency and phase shifts in GABA-edited MEGA-PRESS data using CNNs. The best CNN model was subsequently compared using both simulated and in vivo data to two recently proposed deep learning (DL) methods for FPC of GABA-edited MRS. All methods were trained using the same experimental setup and evaluated using the signal-to-noise ratio (SNR) and linewidth of the GABA peak, choline artifact, and by visually assessing the reconstructed final difference spectrum. Statistical significance was assessed using the Wilcoxon signed rank test. RESULTS The ablation study showed that using complex values for the input represented by real and imaginary channels in our model input tensor, with complex convolutions was most effective for FPC. Overall, in the comparative study using simulated data, our CC-CNN model (that received complex-valued inputs with complex convolutions) outperformed the other models as evaluated by the mean absolute error. CONCLUSION Our results indicate that the optimal CNN configuration for GABA-edited MRS FPC uses a complex-valued input and complex convolutions. Overall, this model outperformed existing DL models.
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Affiliation(s)
- Hanna Bugler
- Department of Biomedical Engineering, University of Calgary, Canada; Department of Radiology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary,Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada.
| | - Rodrigo Berto
- Department of Biomedical Engineering, University of Calgary, Canada; Department of Radiology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary,Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada
| | - Roberto Souza
- Hotchkiss Brain Institute, University of Calgary,Canada; Department of Electrical and Software Engineering, University of Calgary, Canada
| | - Ashley D Harris
- Department of Radiology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary,Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada
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3
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Bauer J, Raum HN, Kugel H, Müther M, Mannil M, Heindel W. 2-Hydroxyglutarate as an MR spectroscopic predictor of an IDH mutation in gliomas. ROFO-FORTSCHR RONTG 2024. [PMID: 38648790 DOI: 10.1055/a-2285-4923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
The mutated enzyme isocitrate dehydrogenase (IDH) 1 and 2 has been detected in various tumor entities such as gliomas and can convert α-ketoglutarate into the oncometabolite 2-hydroxyglutarate (2-HG). This neuro-oncologically significant metabolic product can be detected by MR spectroscopy and is therefore suitable for noninvasive glioma classification and therapy monitoring.This paper provides an up-to-date overview of the methodology and relevance of 1H-MR spectroscopy (MRS) in the oncological primary and follow-up diagnosis of gliomas. The possibilities and limitations of this MR spectroscopic examination are evaluated on the basis of the available literature.By detecting 2-HG, MRS can in principle offer a noninvasive alternative to immunohistological analysis thus avoiding surgical intervention in some cases. However, in addition to an adapted and optimized examination protocol, the individual measurement conditions in the examination region are of decisive importance. Due to the inherently small signal of 2-HG, unfavorable measurement conditions can influence the reliability of detection. · MR spectroscopy enables the non-invasive detection of 2-hydroxyglutarate.. · The measurement of this metabolite allows the detection of an IDH mutation in gliomas.. · The choice of MR examination method is particularly important.. · Detection reliability is influenced by glioma size, necrotic tissue and the existing measurement conditions.. · Bauer J, Raum HN, Kugel H et al. 2-Hydroxyglutarate as an MR spectroscopic predictor of an IDH mutation in gliomas. Fortschr Röntgenstr 2024; DOI 10.1055/a-2285-4923.
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Affiliation(s)
- Jochen Bauer
- Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany
| | - Heiner N Raum
- Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany
| | - Harald Kugel
- Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany
| | - Michael Müther
- Department of Neurosurgery, University of Münster and University Hospital Münster, Münster, Germany
| | - Manoj Mannil
- Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany
- Institute for Diagnostic and Interventional Radiology, Caritas Hospital Bad Mergentheim, Bad Mergentheim, Germany
| | - Walter Heindel
- Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany
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Cook RL, Richards VL, Gullett JM, Lerner BDG, Zhou Z, Porges EC, Wang Y, Kahler CW, Barnett NP, Li Z, Pallikkuth S, Thomas E, Rodriguez A, Bryant KJ, Ghare S, Barve S, Govind V, Dévieux JG, Cohen RA. Experimentally Induced Reductions in Alcohol Consumption and Brain, Cognitive, and Clinical Outcomes in Older Persons With and Those Without HIV Infection (30-Day Challenge Study): Protocol for a Nonrandomized Clinical Trial. JMIR Res Protoc 2024; 13:e53684. [PMID: 38564243 PMCID: PMC11028398 DOI: 10.2196/53684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 11/09/2023] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Both alcohol consumption and HIV infection are associated with worse brain, cognitive, and clinical outcomes in older adults. However, the extent to which brain and cognitive dysfunction is reversible with reduction or cessation of drinking is unknown. OBJECTIVE The 30-Day Challenge study was designed to determine whether reduction or cessation of drinking would be associated with improvements in cognition, reduction of systemic and brain inflammation, and improvement in HIV-related outcomes in adults with heavy drinking. METHODS The study design was a mechanistic experimental trial, in which all participants received an alcohol reduction intervention followed by repeated assessments of behavioral and clinical outcomes. Persons were eligible if they were 45 years of age or older, had weekly alcohol consumption of 21 or more drinks (men) or 14 or more drinks (women), and were not at high risk of alcohol withdrawal. After a baseline assessment, participants received an intervention consisting of contingency management (money for nondrinking days) for at least 30 days followed by a brief motivational interview. After this, participants could either resume drinking or not. Study questionnaires, neurocognitive assessments, neuroimaging, and blood, urine, and stool samples were collected at baseline, 30 days, 90 days, and 1 year after enrollment. RESULTS We enrolled 57 persons with heavy drinking who initiated the contingency management protocol (mean age 56 years, SD 4.6 years; 63%, n=36 male, 77%, n=44 Black, and 58%, n=33 people with HIV) of whom 50 completed 30-day follow-up and 43 the 90-day follow-up. The planned study procedures were interrupted and modified due to the COVID-19 pandemic of 2020-2021. CONCLUSIONS This was the first study seeking to assess changes in brain (neuroimaging) and cognition after alcohol intervention in nontreatment-seeking people with HIV together with people without HIV as controls. Study design strengths, limitations, and lessons for future study design considerations are discussed. Planned analyses are in progress, after which deidentified study data will be available for sharing. TRIAL REGISTRATION ClinicalTrials.gov NCT03353701; https://clinicaltrials.gov/study/NCT03353701. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/53684.
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Affiliation(s)
- Robert L Cook
- Southern HIV and Alcohol Research Consortium, University of Florida, Gainesville, FL, United States
| | - Veronica L Richards
- Southern HIV and Alcohol Research Consortium, University of Florida, Gainesville, FL, United States
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, PA, United States
| | - Joseph M Gullett
- Southern HIV and Alcohol Research Consortium, University of Florida, Gainesville, FL, United States
| | | | - Zhi Zhou
- Southern HIV and Alcohol Research Consortium, University of Florida, Gainesville, FL, United States
| | - Eric C Porges
- Center for Cognitive Aging and Memory, University of Florida, Gainesville, FL, United States
| | - Yan Wang
- Southern HIV and Alcohol Research Consortium, University of Florida, Gainesville, FL, United States
| | - Christopher W Kahler
- Department of Behavioral and Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI, United States
| | - Nancy P Barnett
- Department of Behavioral and Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI, United States
| | - Zhigang Li
- Southern HIV and Alcohol Research Consortium, University of Florida, Gainesville, FL, United States
| | - Suresh Pallikkuth
- Miami Center for AIDS Research, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Emmanuel Thomas
- Miami Center for AIDS Research, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Allan Rodriguez
- Miami Center for AIDS Research, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Kendall J Bryant
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Smita Ghare
- Department of Medicine, University of Louisville, Louisville, KY, United States
| | - Shirish Barve
- Department of Medicine, University of Louisville, Louisville, KY, United States
| | - Varan Govind
- Miami Center for AIDS Research, University of Miami Miller School of Medicine, Miami, FL, United States
| | | | - Ronald A Cohen
- Center for Cognitive Aging and Memory, University of Florida, Gainesville, FL, United States
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Oh H, Berrington A, Auer DP, Babourina-Brooks B, Faas H, Jung JY. A preliminary study of dynamic neurochemical changes in the dorsolateral prefrontal cortex during working memory. Eur J Neurosci 2024; 59:2075-2086. [PMID: 38409515 DOI: 10.1111/ejn.16280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 01/28/2024] [Accepted: 01/30/2024] [Indexed: 02/28/2024]
Abstract
Working memory (WM) is one of the fundamental cognitive functions associated with the dorsolateral prefrontal cortex (DLPFC). However, the neurochemical mechanisms of WM, including the dynamic changes in neurometabolites such as glutamate and GABA in the DLPFC, remain unclear. Here, we investigated WM-related glutamate and GABA changes, alongside hemodynamic responses in the DLPFC, using a combination of functional magnetic resonance spectroscopy (fMRS) and functional magnetic resonance imaging (fMRI). During a WM task, we measured Glx (glutamate + glutamine) and GABA levels using GABA editing MEscher-GArwood Point REsolved Spectroscopy (MEGA-PRESS) sequence and blood-oxygen-level-dependent (BOLD) signal changes. In the DLPFC, we observed elevated Glx levels and increased BOLD signal changes during a 2-back task. Specifically, the Glx levels in the DLPFC were significantly higher during the 2-back task compared with fixation, although this difference was not significant when compared with a 0-back task. However, Glx levels during the 0-back task were higher than during fixation. Furthermore, there was a positive correlation between Glx levels in the DLPFC during the 2-back task and the corresponding BOLD signal changes. Notably, higher Glx increases were associated with increased DLPFC activation and lower WM task performance in individuals. No notable changes in DLPFC GABA levels were observed during WM processing. These findings suggest that the modulation of glutamatergic activity in the DLPFC may play a crucial role in both working memory processing and its associated performance outcomes.
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Affiliation(s)
- Hyerin Oh
- Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK
| | - Adam Berrington
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Dorothee P Auer
- Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Ben Babourina-Brooks
- Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Henryk Faas
- Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK
| | - Je Young Jung
- School of Psychology, University of Nottingham, Nottingham, UK
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Saleh MG, Prescot A, Chang L, Cloak C, Cunningham E, Subramaniam P, Renshaw PF, Yurgelun-Todd D, Zöllner HJ, Roberts TPL, Edden RAE, Ernst T. Glutamate measurements using edited MRS. Magn Reson Med 2024; 91:1314-1322. [PMID: 38044723 PMCID: PMC10865745 DOI: 10.1002/mrm.29929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/02/2023] [Accepted: 10/31/2023] [Indexed: 12/05/2023]
Abstract
PURPOSE To demonstrate J-difference coediting of glutamate using Hadamard encoding and reconstruction of Mescher-Garwood-edited spectroscopy (HERMES). METHODS Density-matrix simulations of HERMES (TE 80 ms) and 1D J-resolved (TE 31-229 ms) of glutamate (Glu), glutamine (Gln), γ-aminobutyric acid (GABA), and glutathione (GSH) were performed. HERMES comprised four sub-experiments with editing pulses applied as follows: (A) 1.9/4.56 ppm simultaneously (ONGABA /ONGSH ); (B) 1.9 ppm only (ONGABA /OFFGSH ); (C) 4.56 ppm only (OFFGABA /ONGSH ); and (D) 7.5 ppm (OFFGABA /OFFGSH ). Phantom HERMES and 1D J-resolved experiments of Glu were performed. Finally, in vivo HERMES (20-ms editing pulses) and 1D J-resolved (TE 31-229 ms) experiments were performed on 137 participants using 3 T MRI scanners. LCModel was used for quantification. RESULTS HERMES simulation and phantom experiments show a Glu-edited signal at 2.34 ppm in the Hadamard sum combination A+B+C+D with no overlapping Gln signal. The J-resolved simulations and phantom experiments show substantial TE modulation of the Glu and Gln signals across the TEs, whose average yields a well-resolved Glu signal closely matching the Glu-edited signal from the HERMES sum spectrum. In vivo quantification of Glu show that the two methods are highly correlated (p < 0.001) with a bias of ∼10%, along with similar between-subject coefficients of variation (HERMES/TE-averaged: ∼7.3%/∼6.9%). Other Hadamard combinations produce the expected GABA-edited (A+B-C-D) or GSH-edited (A-B+C-D) signal. CONCLUSION HERMES simulation and phantom experiments show the separation of Glu from Gln. In vivo HERMES experiments yield Glu (without Gln), GABA, and GSH in a single MRS scan.
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Affiliation(s)
- Muhammad G Saleh
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Andrew Prescot
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Christine Cloak
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Eric Cunningham
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Punitha Subramaniam
- Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
- Diagnostic Neuroimaging Laboratory, University of Utah, Salt Lake City, Utah, USA
| | - Perry F Renshaw
- Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
- Diagnostic Neuroimaging Laboratory, University of Utah, Salt Lake City, Utah, USA
| | - Deborah Yurgelun-Todd
- Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
- Diagnostic Neuroimaging Laboratory, University of Utah, Salt Lake City, Utah, USA
| | - Helge J Zöllner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Timothy P L Roberts
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Thomas Ernst
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Ma DJ, Yang Y, Harguindeguy N, Tian Y, Small SA, Liu F, Rothman DL, Guo J. Magnetic Resonance Spectroscopy Spectral Registration Using Deep Learning. J Magn Reson Imaging 2024; 59:964-975. [PMID: 37401726 DOI: 10.1002/jmri.28868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 06/04/2023] [Accepted: 06/05/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND Deep learning-based methods have been successfully applied to MRI image registration. However, there is a lack of deep learning-based registration methods for magnetic resonance spectroscopy (MRS) spectral registration (SR). PURPOSE To investigate a convolutional neural network-based SR (CNN-SR) approach for simultaneous frequency-and-phase correction (FPC) of single-voxel Meshcher-Garwood point-resolved spectroscopy (MEGA-PRESS) MRS data. STUDY TYPE Retrospective. SUBJECTS Forty thousand simulated MEGA-PRESS datasets generated from FID Appliance (FID-A) were used and split into the following: 32,000/4000/4000 for training/validation/testing. A 101 MEGA-PRESS medial parietal lobe data retrieved from the Big GABA were used as the in vivo datasets. FIELD STRENGTH/SEQUENCE 3T, MEGA-PRESS. ASSESSMENT Evaluation of frequency and phase offsets mean absolute errors were performed for the simulation dataset. Evaluation of the choline interval variance was performed for the in vivo dataset. The magnitudes of the offsets introduced were -20 to 20 Hz and -90° to 90° and were uniformly distributed for the simulation dataset at different signal-to-noise ratio (SNR) levels. For the in vivo dataset, different additional magnitudes of offsets were introduced: small offsets (0-5 Hz; 0-20°), medium offsets (5-10 Hz; 20-45°), and large offsets (10-20 Hz; 45-90°). STATISTICAL TESTS Two-tailed paired t-tests for model performances in the simulation and in vivo datasets were used and a P-value <0.05 was considered statistically significant. RESULTS CNN-SR model was capable of correcting frequency offsets (0.014 ± 0.010 Hz at SNR 20 and 0.058 ± 0.050 Hz at SNR 2.5 with line broadening) and phase offsets (0.104 ± 0.076° at SNR 20 and 0.416 ± 0.317° at SNR 2.5 with line broadening). Using in vivo datasets, CNN-SR achieved the best performance without (0.000055 ± 0.000054) and with different magnitudes of additional frequency and phase offsets (i.e., 0.000062 ± 0.000068 at small, -0.000033 ± 0.000023 at medium, 0.000067 ± 0.000102 at large) applied. DATA CONCLUSION The proposed CNN-SR method is an efficient and accurate approach for simultaneous FPC of single-voxel MEGA-PRESS MRS data. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- David J Ma
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Yanting Yang
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Natalia Harguindeguy
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Ye Tian
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Scott A Small
- Department of Psychiatry, Columbia University, New York, New York, USA
- Department of Neurology, Columbia University, New York, New York, USA
- Taub Institute Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, New York, USA
| | - Feng Liu
- Department of Psychiatry, Columbia University, New York, New York, USA
- Columbia University Irving Medical Center, Columbia University, New York State Psychiatric Institute, New York, New York, USA
| | - Douglas L Rothman
- Radiology and Biomedical Imaging of Biomedical Engineering, Yale University, New Haven, Connecticut, USA
| | - Jia Guo
- Department of Psychiatry, Columbia University, New York, New York, USA
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, New York, USA
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Craven AR, Dwyer G, Ersland L, Kazimierczak K, Noeske R, Sandøy LB, Johnsen E, Hugdahl K. GABA, glutamatergic dynamics and BOLD contrast assessed concurrently using functional MRS during a cognitive task. NMR Biomed 2024; 37:e5065. [PMID: 37897259 DOI: 10.1002/nbm.5065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/29/2023] [Accepted: 10/03/2023] [Indexed: 10/30/2023]
Abstract
A recurring issue in functional neuroimaging is how to link task-driven haemodynamic blood oxygen level dependent functional MRI (BOLD-fMRI) responses to underlying neurochemistry at the synaptic level. Glutamate and γ-aminobutyric acid (GABA), the major excitatory and inhibitory neurotransmitters respectively, are typically measured with MRS sequences separately from fMRI, in the absence of a task. The present study aims to resolve this disconnect, developing acquisition and processing techniques to simultaneously assess GABA, glutamate and glutamine (Glx) and BOLD in relation to a cognitive task, at 3 T. Healthy subjects (N = 81) performed a cognitive task (Eriksen flanker), which was presented visually in a task-OFF, task-ON block design, with individual event onset timing jittered with respect to the MRS readout. fMRS data were acquired from the medial anterior cingulate cortex during task performance, using an adapted MEGA-PRESS implementation incorporating unsuppressed water-reference signals at a regular interval. These allowed for continuous assessment of BOLD activation, through T2 *-related changes in water linewidth. BOLD-fMRI data were additionally acquired. A novel linear model was used to extract modelled metabolite spectra associated with discrete functional stimuli, building on well established processing and quantification tools. Behavioural outcomes from the flanker task, and activation patterns from the BOLD-fMRI sequence, were as expected from the literature. BOLD response assessed through fMRS showed a significant correlation with fMRI, specific to the fMRS-targeted region of interest; fMRS-assessed BOLD additionally correlated with lengthening of response time in the incongruent flanker condition. While no significant task-related changes were observed for GABA+, a significant increase in measured Glx levels (~8.8%) was found between task-OFF and task-ON periods. These findings verify the efficacy of our protocol and analysis pipelines for the simultaneous assessment of metabolite dynamics and BOLD. As well as establishing a robust basis for further work using these techniques, we also identify a number of clear directions for further refinement in future studies.
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Affiliation(s)
- Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
- NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway
| | - Gerard Dwyer
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway
| | - Lars Ersland
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
- NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway
| | | | | | - Lydia Brunvoll Sandøy
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Physics and Technology, University of Bergen, Bergen, Norway
| | - Erik Johnsen
- NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Kenneth Hugdahl
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
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Vidyasagar R, Fazollahi A, Desmond P, Moffat B, Bush AI, Ayton S. Single-session reproducibility of MR spectroscopy measures of glutathione in the mesial temporal lobe with MEGA-PRESS. J Neuroimaging 2024; 34:224-231. [PMID: 38174904 DOI: 10.1111/jon.13179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 12/03/2023] [Accepted: 12/04/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND AND PURPOSE Magnetic resonance spectroscopy (MRS) measures neurochemicals in vivo. Glutathione (GSH) is a neuroprotective chemical shown to vary significantly in patients with Alzheimer's disease (AD). This work investigates the reproducibility of GSH measures in the mesial temporal lobe (MTL) to identify its potential clinical utility. METHODS MRS data were acquired from eight healthy volunteers (31.1 ± 5.2 years; 4 male/female) using Mescher-Garwood-Point Resolved Spectroscopy (MEGA-PRESS) from the MTL in the left hemisphere across two scan sessions in the same visit. Total N-acetylaspartate (tNAA), choline (tCho), creatine (tCr), and GSH were quantified. Reproducibility of quantifications of these neurochemicals were tested using coefficient of variance (CV) between scan sessions. Reproducibility of voxel placement on the left MTL was calculated by measuring the tissue overlap and percent of hippocampus within that voxel. CV measured across different scan sessions in each individual, with a CV<15% was accepted as "good" reproducibility. Paired t-tests were carried out to establish the significant differences between the two scans across each individual with p<.05 as significant. RESULTS TNAA (%CV = 7.2; p = .5), tCr (%CV = 7.8; p = .6) and tCho (%CV = 9.3; p = .4), and GSH (%CV = 22; p = .1). The dice coefficient that reflects the level of overlap of hippocampal tissue in the voxel was shown to be 0.8 ± 0.1. Voxel tissue composition were: Scan 1 (cerebrospinal fluid [CSF]: 5 ± 1%, white matter [WM]: 52 ± 3%, gray matter [GM]: 43 ± 3%); Scan 2 (CSF: 5 ± 1%, WM: 52 ± 4%, GM: 44 ± 4%). CONCLUSION The data suggest measures of abundant metabolites in the MTL using the MEGA-PRESS sequence has a high reproducibility. Reproducibility of GSH in this area was poorer requiring care when interpreting measures of GSH in the MTL for clinical translational purposes.
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Affiliation(s)
- Rishma Vidyasagar
- Radiology Department, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Amir Fazollahi
- Radiology Department, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Patricia Desmond
- Radiology Department, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Bradford Moffat
- Melbourne Biomedical Centre Imaging Unit, Department of Radiology, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
| | - Ashley I Bush
- The Florey Institute of Neuroscience and Mental Health and University of Melbourne, Melbourne, Victoria, Australia
| | - Scott Ayton
- The Florey Institute of Neuroscience and Mental Health and University of Melbourne, Melbourne, Victoria, Australia
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10
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Thomson AR, Hwa H, Pasanta D, Hopwood B, Powell HJ, Lawrence R, Tabuenca ZG, Arichi T, Edden RAE, Chai X, Puts NA. The developmental trajectory of 1H-MRS brain metabolites from childhood to adulthood. Cereb Cortex 2024; 34:bhae046. [PMID: 38430105 PMCID: PMC10908220 DOI: 10.1093/cercor/bhae046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 03/03/2024] Open
Abstract
Human brain development is ongoing throughout childhood, with for example, myelination of nerve fibers and refinement of synaptic connections continuing until early adulthood. 1H-Magnetic Resonance Spectroscopy (1H-MRS) can be used to quantify the concentrations of endogenous metabolites (e.g. glutamate and γ -aminobutyric acid (GABA)) in the human brain in vivo and so can provide valuable, tractable insight into the biochemical processes that support postnatal neurodevelopment. This can feasibly provide new insight into and aid the management of neurodevelopmental disorders by providing chemical markers of atypical development. This study aims to characterize the normative developmental trajectory of various brain metabolites, as measured by 1H-MRS from a midline posterior parietal voxel. We find significant non-linear trajectories for GABA+ (GABA plus macromolecules), Glx (glutamate + glutamine), total choline (tCho) and total creatine (tCr) concentrations. Glx and GABA+ concentrations steeply decrease across childhood, with more stable trajectories across early adulthood. tCr and tCho concentrations increase from childhood to early adulthood. Total N-acetyl aspartate (tNAA) and Myo-Inositol (mI) concentrations are relatively stable across development. Trajectories likely reflect fundamental neurodevelopmental processes (including local circuit refinement) which occur from childhood to early adulthood and can be associated with cognitive development; we find GABA+ concentrations significantly positively correlate with recognition memory scores.
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Affiliation(s)
- Alice R Thomson
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, Department of Neurodevelopmental Disorders, New Hunt's House, Guy's Campus, King's College London, London, SE1 1UL, United Kingdom
| | - Hannah Hwa
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Duanghathai Pasanta
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Benjamin Hopwood
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Helen J Powell
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
| | - Ross Lawrence
- Division of Cognitive Neurology, Department of Neurology, Johns Hopkins University, 1629 Thames Street Suite 350, Baltimore, MD 21231, United States
| | - Zeus G Tabuenca
- Department of Statistical Methods, University of Zaragoza, Pedro Cerbuna 12, Zaragoza, 50009, Spain
| | - Tomoki Arichi
- MRC Centre for Neurodevelopmental Disorders, Department of Neurodevelopmental Disorders, New Hunt's House, Guy's Campus, King's College London, London, SE1 1UL, United Kingdom
- Centre for the Developing Brain, Department of Perinatal Imaging & Health, 1st Floor, South Wing, St Thomas’ Hospital, London, SE1 7EH, United Kingdom
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 601 North Caroline Street, Baltimore, MD 21287, United States
- F.M. Kirby Research Centre for Functional Brain Imaging, Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD 21205, United States
| | - Xiaoqian Chai
- Department of Neurology and Neurosurgery, McGill University, QC H3A2B4, Canada
| | - Nicolaas A Puts
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, Department of Neurodevelopmental Disorders, New Hunt's House, Guy's Campus, King's College London, London, SE1 1UL, United Kingdom
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11
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Song Y, Hupfeld KE, Davies-Jenkins CW, Zöllner HJ, Murali-Manohar S, Mumuni AN, Crocetti D, Yedavalli V, Oeltzschner G, Alessi N, Batschelett MA, Puts NA, Mostofsky SH, Edden RA. Brain glutathione and GABA+ levels in autistic children. Autism Res 2024; 17:512-528. [PMID: 38279628 PMCID: PMC10963146 DOI: 10.1002/aur.3097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/28/2023] [Indexed: 01/28/2024]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication challenges and repetitive behaviors. Altered neurometabolite levels, including glutathione (GSH) and gamma-aminobutyric acid (GABA), have been proposed as potential contributors to the biology underlying ASD. This study investigated whether cerebral GSH or GABA levels differ between a cohort of children aged 8-12 years with ASD (n = 52) and typically developing children (TDC, n = 49). A comprehensive analysis of GSH and GABA levels in multiple brain regions, including the primary motor cortex (SM1), thalamus (Thal), medial prefrontal cortex (mPFC), and supplementary motor area (SMA), was conducted using single-voxel HERMES MR spectroscopy at 3T. The results revealed no significant differences in cerebral GSH or GABA levels between the ASD and TDC groups across all examined regions. These findings suggest that the concentrations of GSH (an important antioxidant and neuromodulator) and GABA (a major inhibitory neurotransmitter) do not exhibit marked alterations in children with ASD compared to TDC. A statistically significant positive correlation was observed between GABA levels in the SM1 and Thal regions with ADHD inattention scores. No significant correlation was found between metabolite levels and hyper/impulsive scores of ADHD, measures of core ASD symptoms (ADOS-2, SRS-P) or adaptive behavior (ABAS-2). While both GSH and GABA have been implicated in various neurological disorders, the current study provides valuable insights into the specific context of ASD and highlights the need for further research to explore other neurochemical alterations that may contribute to the pathophysiology of this complex disorder.
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Affiliation(s)
- Yulu Song
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Kathleen E. Hupfeld
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Christopher W. Davies-Jenkins
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Helge J. Zöllner
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Saipavitra Murali-Manohar
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | | | - Deana Crocetti
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Vivek Yedavalli
- The Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Georg Oeltzschner
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Natalie Alessi
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Mitchell A. Batschelett
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Nicolaas A.J. Puts
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
- MRC Center for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
| | - Stewart H. Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Richard A.E. Edden
- The Russel H. Morgan Department of Radiology and Radiological Science, 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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12
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Yang X, Liu Y, Fu CX, Chu YH, Chen Q, Wang H, Wei DX, Yao YF. Selectively Probing the Magnetic Resonance Signals of γ-Aminobutyric Acid in Human Brains In Vivo. J Magn Reson Imaging 2024; 59:954-963. [PMID: 37312270 DOI: 10.1002/jmri.28853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/25/2023] [Accepted: 05/29/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND Gamma-aminobutyric acid (GABA) is an inhibitory neurotransmitter in human brains, playing a role in the pathogenesis of various psychiatric disorders. Current methods have some non-neglectable shortcomings and noninvasive and accurate detection of GABA in human brains is long-term challenge. PURPOSE To develop a pulse sequence capable of selectively detecting and quantifying the 1 H signal of GABA in human brains based on optimal controlled spin singlet order. STUDY TYPE Prospective. SUBJECTS/PHANTOM A phantom of GABA (pH = 7.3 ± 0.1) and 11 healthy subjects (5 females and 6 males, body mass index: 21 ± 3 kg/m2 , age: 25 ± 4 years). FIELD STRENGTH/SEQUENCE 7 Tesla, 3 Tesla, GABA-targeted magnetic resonance spectroscopy (GABA-MRS-7 T, GABA-MRS-3 T), magnetization prepared two rapid acquisition gradient echoes sequence. ASSESSMENT By using the developed pulse sequences applied on the phantom and healthy subjects, the signals of GABA were successfully selectively probed. Quantification of the signals yields the concentration of GABA in the dorsal anterior cingulate cortex (dACC) in human brains. STATISTICAL TESTS Frequency. RESULTS The 1 H signals of GABA in the phantom and in the human brains of healthy subjects were successfully detected. The concentration of GABA in the dACC of human brains was 3.3 ± 1.5 mM. DATA CONCLUSION The developed pulse sequences can be used to selectively probe the 1 H MR signals of GABA in human brains in vivo. EVIDENCE LEVEL 1 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Xue Yang
- Physics Department and Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, 200062, China
| | - Ying Liu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Cai-Xia Fu
- Application Developments, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, 518057, China
| | - Ying-Hua Chu
- MR Collaboration, Siemens Healthineers Ltd, Shanghai, China
| | - Qun Chen
- Physics Department and Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, 200062, China
| | - He Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Da-Xiu Wei
- Physics Department and Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, 200062, China
| | - Ye-Feng Yao
- Physics Department and Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, 200062, China
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13
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Craven AR, Bell TK, Ersland L, Harris AD, Hugdahl K, Oeltzschner G. Linewidth-related bias in modelled concentration estimates from GABA-edited 1H-MRS. bioRxiv 2024:2024.02.27.582249. [PMID: 38464094 PMCID: PMC10925149 DOI: 10.1101/2024.02.27.582249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
J-difference-edited MRS is widely used to study GABA in the human brain. Editing for low-concentration target molecules (such as GABA) typically exhibits lower signal-to-noise ratio (SNR) than conventional non-edited MRS, varying with acquisition region, volume and duration. Moreover, spectral lineshape may be influenced by age-, pathology-, or brain-region-specific effects of metabolite T2, or by task-related blood-oxygen level dependent (BOLD) changes in functional MRS contexts. Differences in both SNR and lineshape may have systematic effects on concentration estimates derived from spectral modelling. The present study characterises the impact of lineshape and SNR on GABA+ estimates from different modelling algorithms: FSL-MRS, Gannet, LCModel, Osprey, spant and Tarquin. Publicly available multi-site GABA-edited data (222 healthy subjects from 20 sites; conventional MEGA-PRESS editing; TE = 68 ms) were pre-processed with a standardised pipeline, then filtered to apply controlled levels of Lorentzian and Gaussian linebroadening and SNR reduction. Increased Lorentzian linewidth was associated with a 2-5% decrease in GABA+ estimates per Hz, observed consistently (albeit to varying degrees) across datasets and most algorithms. Weaker, often opposing effects were observed for Gaussian linebroadening. Variations are likely caused by differing baseline parametrization and lineshape constraints between models. Effects of linewidth on other metabolites (e.g., Glx and tCr) varied, suggesting that a linewidth confound may persist after scaling to an internal reference. These findings indicate a potentially significant confound for studies where linewidth may differ systematically between groups or experimental conditions, e.g. due to T2 differences between brain regions, age, or pathology, or varying T2* due to BOLD-related changes. We conclude that linewidth effects need to be rigorously considered during experimental design and data processing, for example by incorporating linewidth into statistical analysis of modelling outcomes or development of appropriate lineshape matching algorithms.
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Affiliation(s)
- Alexander R. Craven
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Tiffany K. Bell
- Department of Radiology, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
| | - Lars Ersland
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Ashley D. Harris
- Department of Radiology, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
| | - Kenneth Hugdahl
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
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14
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Liang X, Saleh MG, Xu S, Mayer D, Roys S, Raghavan P, Badjatia N, Gullapalli RP, Zhuo J. Simultaneous Measurement of GABA, Glutathione, and Glutamate-Glutamine in the Thalamus using Edited MR Spectroscopy: Feasibility and Applications in Traumatic Brain Injury. J Magn Reson Imaging 2024. [PMID: 38363087 DOI: 10.1002/jmri.29299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND MR spectroscopy (MRS) is a noninvasive tool for evaluating biochemical alterations, such as glutamate (Glu)/gamma-aminobutyric acid (GABA) imbalance and depletion of antioxidative glutathione (GSH) after traumatic brain injury (TBI). Thalamus, a critical and vulnerable region post-TBI, is challenging for MRS acquisitions, necessitating optimization to simultaneously measure GABA/Glu and GSH. PURPOSE To assess the feasibility and optimize acquisition and processing approaches for simultaneously measuring GABA, Glx (Glu + glutamine (Gln)), and GSH in the thalamus, employing Hadamard encoding and reconstruction of MEscher-GArwood (MEGA)-edited spectroscopy (HERMES). STUDY TYPE Prospective. SUBJECTS 28 control subjects (age: 35.9 ± 15.1 years), and 17 mild TBI (mTBI) patients (age: 32.4 ± 11.3 years). FIELD STRENGTH/SEQUENCE 3T/T1-weighted magnetization-prepared rapid gradient-echo (MP-RAGE), HERMES. ASSESSMENT We evaluated the impact of acquisition with spatial saturation bands and post-processing with spectral alignment on HERMES performance in the thalamus among controls. Within-subject variability was examined in five controls through repeated scans within a week. The HERMES spectra in the posterior cingulate cortex (PCC) of controls were used as a reference for assessing HERMES performance in a reliable target. Furthermore, we compared metabolite levels and fitting quality in the thalamus between mTBI patients and controls. STATISTICAL TESTS Unpaired t-tests and within-subject coefficient-of-variation (CV). A P-value <0.05 was deemed significant. RESULTS HERMES spectra, acquired with saturation bands and processed with spectral alignment, yielded reliable metabolite measurements in the thalamus. The mean within-subject CV for GABA, Glx, and GSH levels were 18%, 10%, and 16% in the thalamus (7%, 9%, and 16% in the PCC). GABA (3.20 ± 0.60 vs 2.51 ± 0.55, P < 0.01) and Glx (8.69 ± 1.23 vs 7.72 ± 1.19, P = 0.03) levels in the thalamus were significantly higher in mTBI patients than in controls, with GSH (1.27 ± 0.35 vs 1.22 ± 0.28, P = 0.65) levels showing no significant difference. DATA CONCLUSION Simultaneous measuring GABA/Glx and GSH using HERMES is feasible in the thalamus, providing valuable insight into TBI. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Xiao Liang
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Muhammad G Saleh
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Su Xu
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Dirk Mayer
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Steven Roys
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Prashant Raghavan
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Rao P Gullapalli
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jiachen Zhuo
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
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15
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Rasooli A, Chalavi S, Li H, Seer C, Adab HZ, Mantini D, Sunaert S, Mikkelsen M, Edden RAE, Swinnen SP. Neural correlates of transfer of learning in motor coordination tasks: role of inhibitory and excitatory neurometabolites. Sci Rep 2024; 14:3251. [PMID: 38331950 PMCID: PMC10853253 DOI: 10.1038/s41598-024-53901-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/06/2024] [Indexed: 02/10/2024] Open
Abstract
We aimed to investigate transfer of learning, whereby previously acquired skills impact new task learning. While it has been debated whether such transfer may yield positive, negative, or no effects on performance, very little is known about the underlying neural mechanisms, especially concerning the role of inhibitory (GABA) and excitatory (Glu) (measured as Glu + glutamine (Glx)) neurometabolites, as measured by magnetic resonance spectroscopy (MRS). Participants practiced a bimanual coordination task across four days. The Experimental group trained a task variant with the right hand moving faster than the left (Task A) for three days and then switched to the opposite variant (Task B) on Day4. The control group trained Task B across four days. MRS data were collected before, during, and after task performance on Day4 in the somatosensory (S1) and visual (MT/V5) cortex. Results showed that both groups improved performance consistently across three days. On Day4, the Experimental group experienced performance decline due to negative task transfer while the control group continuously improved. GABA and Glx concentrations obtained during task performance showed no significant group-level changes. However, individual Glx levels during task performance correlated with better (less negative) transfer performance. These findings provide a first window into the neurochemical mechanisms underlying task transfer.
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Affiliation(s)
- Amirhossein Rasooli
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Sima Chalavi
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Hong Li
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Caroline Seer
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Hamed Zivari Adab
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Dante Mantini
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Stefan Sunaert
- Department of Imaging and Pathology, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Mark Mikkelsen
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Stephan P Swinnen
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium.
- Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium.
- Motor Control Laboratory, Movement Control and Neuroplasticity Research Group, KU Leuven, Tervuurse Vest 101, Building De Nayer, Room 02.11, 3001, Leuven, Belgium.
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16
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Yakovlev A, Gritskova A, Manzhurtsev A, Ublinskiy M, Menshchikov P, Vanin A, Kupriyanov D, Akhadov T, Semenova N. Dynamics of γ-aminobutyric acid concentration in the human brain in response to short visual stimulation. MAGMA 2024; 37:39-51. [PMID: 37715877 DOI: 10.1007/s10334-023-01118-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 08/30/2023] [Accepted: 08/31/2023] [Indexed: 09/18/2023]
Abstract
OBJECTIVE To find a possible quantitative relation between activation-induced fast (< 10 s) changes in the γ-aminobutyric acid (GABA) level and the amplitude of a blood oxygen level-dependent contrast (BOLD) response (according to magnetic resonance spectroscopy [MRS] and functional magnetic resonance imaging [fMRI]). MATERIALS AND METHODS fMRI data and MEGA-PRESS magnetic resonance spectra [echo time (TE)/repetition time (TR) = 68 ms/1500 ms] of an activated area in the visual cortex of 33 subjects were acquired using a 3 T MR scanner. Stimulation was performed by presenting an image of a flickering checkerboard for 3 s, repeated with an interval of 13.5 s. The time course of GABA and creatine (Cr) concentrations and the width and height of resonance lines were obtained with a nominal time resolution of 1.5 s. Changes in the linewidth and height of n-acetylaspartate (NAA) and Cr signals were used to determine the BOLD effect. RESULTS In response to the activation, the BOLD-corrected GABA + /Cr ratio increased by 5.0% (q = 0.027) and 3.8% (q = 0.048) at 1.6 and 3.1 s, respectively, after the start of the stimulus. Time courses of Cr and NAA signal width and height reached a maximum change at the 6th second (~ 1.2-1.5%, q < 0.05). CONCLUSION The quick response of the observed GABA concentration to the short stimulus is most likely due to a release of GABA from vesicles followed by its packaging back into vesicles.
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Affiliation(s)
- Alexey Yakovlev
- Clinical and Research Institute of Emergency Paediatric Surgery and Traumatology, Bol'shaya Polyanka St. 22, Moscow, 119180, Russian Federation.
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Kosygina St. 4, Moscow, 119334, Russian Federation.
- Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Kosygina St. 4, Moscow, 119334, Russian Federation.
| | - Alexandra Gritskova
- Moscow State University, Leninskie Gory Str. 1, Moscow, 119991, Russian Federation
| | - Andrei Manzhurtsev
- Clinical and Research Institute of Emergency Paediatric Surgery and Traumatology, Bol'shaya Polyanka St. 22, Moscow, 119180, Russian Federation
- Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Kosygina St. 4, Moscow, 119334, Russian Federation
- Moscow State University, Leninskie Gory Str. 1, Moscow, 119991, Russian Federation
| | - Maxim Ublinskiy
- Clinical and Research Institute of Emergency Paediatric Surgery and Traumatology, Bol'shaya Polyanka St. 22, Moscow, 119180, Russian Federation
- Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Kosygina St. 4, Moscow, 119334, Russian Federation
- Moscow State University, Leninskie Gory Str. 1, Moscow, 119991, Russian Federation
| | - Petr Menshchikov
- Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Kosygina St. 4, Moscow, 119334, Russian Federation
- LLC Philips Healthcare, 13 Sergeya Makeeva Str., Moscow, 123022, Russian Federation
| | - Anatoly Vanin
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Kosygina St. 4, Moscow, 119334, Russian Federation
| | - Dmitriy Kupriyanov
- LLC Philips Healthcare, 13 Sergeya Makeeva Str., Moscow, 123022, Russian Federation
| | - Tolib Akhadov
- Clinical and Research Institute of Emergency Paediatric Surgery and Traumatology, Bol'shaya Polyanka St. 22, Moscow, 119180, Russian Federation
- Moscow State University, Leninskie Gory Str. 1, Moscow, 119991, Russian Federation
| | - Natalia Semenova
- Clinical and Research Institute of Emergency Paediatric Surgery and Traumatology, Bol'shaya Polyanka St. 22, Moscow, 119180, Russian Federation
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Kosygina St. 4, Moscow, 119334, Russian Federation
- Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Kosygina St. 4, Moscow, 119334, Russian Federation
- Moscow State University, Leninskie Gory Str. 1, Moscow, 119991, Russian Federation
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17
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Weng G, Slotboom J, Schucht P, Ermiş E, Wiest R, Klöppel S, Peter J, Zubak I, Radojewski P. Simultaneous multi-region detection of GABA+ and Glx using 3D spatially resolved SLOW-editing and EPSI-readout at 7T. Neuroimage 2024; 286:120511. [PMID: 38184158 DOI: 10.1016/j.neuroimage.2024.120511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/07/2023] [Accepted: 01/04/2024] [Indexed: 01/08/2024] Open
Abstract
GABA+ and Glx (glutamate and glutamine) are widely studied metabolites, yet the commonly used magnetic resonance spectroscopy (MRS) techniques have significant limitations, including sensitivity to B0 and B1+-inhomogeneities, limited bandwidth of MEGA-pulses, high SAR which is accentuated at 7T. To address these limitations, we propose SLOW-EPSI method, employing a large 3D MRSI coverage and achieving a high resolution down to 0.26 ml. Simulation results demonstrate the robustness of SLOW-editing for both GABA+ and Glx against B0 and B1+-inhomogeneities within the range of [-0.3, +0.3] ppm and [40 %, 250 %], respectively. Two protocols, both utilizing a 70 mm thick FOV slab, were employed to target distinct brain regions in vivo, differentiated by their orientation: transverse and tilted. Protocol 1 (n = 11) encompassed 5 locations (cortical gray matter, white matter, frontal lobe, parietal lobe, and cingulate gyrus). Protocol 2 (n = 5) involved 9 locations (cortical gray matter, white matter, frontal lobe, occipital lobe, cingulate gyrus, caudate nucleus, hippocampus, putamen, and inferior thalamus). Quantitative analysis of GABA+ and Glx was conducted in a stepwise manner. First, B1+/B1--inhomogeneities were corrected using water reference data. Next, GABA+ and Glx values were calculated employing spectral fitting. Finally, the GABA+ level for each selected region was compared to the global Glx within the same subject, generating the GABA+/Glx_global ratio. Our findings from two protocols indicate that the GABA+/Glx_global level in cortical gray matter was approximately 16 % higher than in white matter. Elevated GABA+/Glx_global levels acquired with protocol 2 were observed in specific regions such as the caudate nucleus (0.118±0.067), putamen (0.108±0.023), thalamus (0.092±0.036), and occipital cortex (0.091±0.010), when compared to the cortical gray matter (0.079±0.012). Overall, our results highlight the effectiveness of SLOW-EPSI as a robust and efficient technique for accurate measurements of GABA+ and Glx at 7T. In contrast to previous SVS and 2D-MRSI based editing sequences with which only one or a limited number of brain regions can be measured simultaneously, the method presented here measures GABA+ and Glx from any brain area and any arbitrarily shaped volume that can be flexibly selected after the examination. Quantification of GABA+ and Glx across multiple brain regions through spectral fitting is achievable with a 9-minute acquisition. Additionally, acquisition times of 18-27 min (GABA+) and 9-18 min (Glx) are required to generate 3D maps, which are constructed using Gaussian fitting and peak integration.
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Affiliation(s)
- Guodong Weng
- Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University Hospital and University of Bern, Switzerland; Translational Imaging Center, sitem-insel, Bern, Switzerland.
| | - Johannes Slotboom
- Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University Hospital and University of Bern, Switzerland; Translational Imaging Center, sitem-insel, Bern, Switzerland
| | - Philippe Schucht
- Department of Neurosurgery, Inselspital, University Hospital and University of Bern, Switzerland
| | - Ekin Ermiş
- Department of Radiation Oncology, Inselspital, University Hospital and University of Bern, Switzerland
| | - Roland Wiest
- Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University Hospital and University of Bern, Switzerland; Translational Imaging Center, sitem-insel, Bern, Switzerland
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Jessica Peter
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Irena Zubak
- Department of Neurosurgery, Inselspital, University Hospital and University of Bern, Switzerland
| | - Piotr Radojewski
- Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University Hospital and University of Bern, Switzerland; Translational Imaging Center, sitem-insel, Bern, Switzerland
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Kohe S, Bennett C, Burté F, Adiamah M, Rose H, Worthington L, Scerif F, MacPherson L, Gill S, Hicks D, Schwalbe EC, Crosier S, Storer L, Lourdusamy A, Mitra D, Morgan PS, Dineen RA, Avula S, Pizer B, Wilson M, Davies N, Tennant D, Bailey S, Williamson D, Arvanitis TN, Grundy RG, Clifford SC, Peet AC. Metabolite profiles of medulloblastoma for rapid and non-invasive detection of molecular disease groups. EBioMedicine 2024; 100:104958. [PMID: 38184938 PMCID: PMC10808898 DOI: 10.1016/j.ebiom.2023.104958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 12/13/2023] [Accepted: 12/21/2023] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND The malignant childhood brain tumour, medulloblastoma, is classified clinically into molecular groups which guide therapy. DNA-methylation profiling is the current classification 'gold-standard', typically delivered 3-4 weeks post-surgery. Pre-surgery non-invasive diagnostics thus offer significant potential to improve early diagnosis and clinical management. Here, we determine tumour metabolite profiles of the four medulloblastoma groups, assess their diagnostic utility using tumour tissue and potential for non-invasive diagnosis using in vivo magnetic resonance spectroscopy (MRS). METHODS Metabolite profiles were acquired by high-resolution magic-angle spinning NMR spectroscopy (MAS) from 86 medulloblastomas (from 59 male and 27 female patients), previously classified by DNA-methylation array (WNT (n = 9), SHH (n = 22), Group3 (n = 21), Group4 (n = 34)); RNA-seq data was available for sixty. Unsupervised class-discovery was performed and a support vector machine (SVM) constructed to assess diagnostic performance. The SVM classifier was adapted to use only metabolites (n = 10) routinely quantified from in vivo MRS data, and re-tested. Glutamate was assessed as a predictor of overall survival. FINDINGS Group-specific metabolite profiles were identified; tumours clustered with good concordance to their reference molecular group (93%). GABA was only detected in WNT, taurine was low in SHH and lipids were high in Group3. The tissue-based metabolite SVM classifier had a cross-validated accuracy of 89% (100% for WNT) and, adapted to use metabolites routinely quantified in vivo, gave a combined classification accuracy of 90% for SHH, Group3 and Group4. Glutamate predicted survival after incorporating known risk-factors (HR = 3.39, 95% CI 1.4-8.1, p = 0.025). INTERPRETATION Tissue metabolite profiles characterise medulloblastoma molecular groups. Their combination with machine learning can aid rapid diagnosis from tissue and potentially in vivo. Specific metabolites provide important information; GABA identifying WNT and glutamate conferring poor prognosis. FUNDING Children with Cancer UK, Cancer Research UK, Children's Cancer North and a Newcastle University PhD studentship.
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Affiliation(s)
- Sarah Kohe
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK; Birmingham Children's Hospital, Birmingham, UK
| | - Christopher Bennett
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK; Birmingham Children's Hospital, Birmingham, UK
| | - Florence Burté
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Magretta Adiamah
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Heather Rose
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK; Birmingham Children's Hospital, Birmingham, UK
| | - Lara Worthington
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK; Birmingham Children's Hospital, Birmingham, UK; RRPPS, University Hospital Birmingham, Birmingham, UK
| | - Fatma Scerif
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Simrandip Gill
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK; Birmingham Children's Hospital, Birmingham, UK
| | - Debbie Hicks
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Edward C Schwalbe
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK; Department of Applied Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Stephen Crosier
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Lisa Storer
- Children's Brain Tumour Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Ambarasu Lourdusamy
- Children's Brain Tumour Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Dipyan Mitra
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Paul S Morgan
- Children's Brain Tumour Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Robert A Dineen
- Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | | | | | - Martin Wilson
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK; Birmingham Children's Hospital, Birmingham, UK
| | - Nigel Davies
- RRPPS, University Hospital Birmingham, Birmingham, UK
| | - Daniel Tennant
- Institute of Metabolism and Systems Research, University of Birmingham, UK
| | - Simon Bailey
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Daniel Williamson
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Theodoros N Arvanitis
- Department of Electronic, Electrical and Systems Engineering, University of Birmingham, UK
| | - Richard G Grundy
- Children's Brain Tumour Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Steven C Clifford
- Wolfson Childhood Cancer Research Centre, Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
| | - Andrew C Peet
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK; Birmingham Children's Hospital, Birmingham, UK.
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19
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van der Pluijm M, Alting M, Schrantee A, Edden RAE, Booij J, de Haan L, van de Giessen E. Glutamate and GABA levels in the anterior cingulate cortex in treatment resistant first episode psychosis patients. Schizophr Res 2024; 264:471-478. [PMID: 38277736 DOI: 10.1016/j.schres.2024.01.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/12/2023] [Accepted: 01/14/2024] [Indexed: 01/28/2024]
Abstract
BACKGROUND Around 30 % of schizophrenia patients do not respond sufficiently to conventional antipsychotic treatment. Glutamate and γ-aminobutyric acid (GABA) may be implicated in treatment resistant (TR) patients. Some data indicate that TR patients show increased glutamate levels compared to responders, but findings are inconclusive and limited in the early disease stage. Furthermore, the two neurotransmitters have rarely been assessed in conjunction. We therefore aimed to investigate the role of GABA+ and glutamate in first episode TR patients and explore whether these neurometabolites could be potential predictive markers for TR schizophrenia. STUDY DESIGN We used proton magnetic resonance spectroscopy (MRS) to assess glutamate + glutamine (Glx) and GABA including macromolecules (GABA+) in the anterior cingulate cortex (ACC) of 58 first episode psychosis patients. At six months follow-up treatment response was determined and in a subgroup of 33 patients a follow-up MRS scan was acquired. STUDY RESULTS Glx and GABA+ levels were not significantly different between TR patients and responders at baseline and the levels did not change at six months follow-up. The groups differed in voxel fractions, which could have influenced our results even though we corrected for these differences. CONCLUSIONS Our findings do not provide evidence that ACC Glx or GABA+ levels are potential biomarkers for TR in first episode psychosis. Future research needs to take in to account voxel fractions and report potential differences. Comparison with previous literature suggests that illness duration, clozapine responsiveness and medication effects may partly explain the heterogeneous results on Glx and GABA+ levels in TR.
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Affiliation(s)
- Marieke van der Pluijm
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, the Netherlands.
| | - Maartje Alting
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands
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20
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Revie L, Metzler-Baddeley C. Age-related fornix decline predicts conservative response strategy-based slowing in perceptual decision-making. Aging Brain 2024; 5:100106. [PMID: 38318456 PMCID: PMC10838937 DOI: 10.1016/j.nbas.2024.100106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 12/28/2023] [Accepted: 01/04/2024] [Indexed: 02/07/2024] Open
Abstract
Aging leads to response slowing but the underpinning cognitive and neural mechanisms remain elusive. We modelled older and younger adults' response times (RT) from a flanker task with a diffusion drift model (DDM) and employed diffusion-weighted magnetic resonance imaging and spectroscopy to study neurobiological predictors of DDM components (drift-rate, boundary separation, non-decision time). Microstructural indices were derived from white matter pathways involved in visuo-perceptual and attention processing [optic radiation, inferior and superior longitudinal fasciculi (ILF, SLF), fornix]. Estimates of metabolite concentrations [N-acetyl aspartate (NAA), glutamate (Glx), and γ-aminobutyric acid (GABA), creatine (Cr), choline (Cho), myoinositol (mI)] were measured from occipital (OCC), anterior cingulate (ACC) and posterior parietal cortices (PPC). Age-related increases in RT, boundary separation, and non-decision time were observed with response conservatism acounting for RT slowing. Aging was associated with reductions in white matter microstructure (lower fractional anisotropy and restricted signal fraction, larger diffusivities) and in metabolites (NAA in ACC and PPC, Glx in ACC). Regression analyses identified brain regions involved in top-down (fornix, SLF, ACC, PPC) and bottom-up (ILF, optic radiation OCC) processing as predictors for DDM parameters and RT. Fornix FA was the strongest predictor for increases in boundary separation (beta = -0.8) and mediated the effects of age on RT. These findings demonstrate that response slowing in visual discrimination is driven by the adoption of a more conservative response strategy. Age-related fornix decline may result in noisier communication of contextual information from the hippocampus to anterior decision-making regions and thus contribute to the conservative response strategy shift.
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Affiliation(s)
- Lauren Revie
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Claudia Metzler-Baddeley
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
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21
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Tamaki M, Yamada T, Barnes-Diana T, Wang Z, Watanabe T, Sasaki Y. First-night effect reduces the beneficial effects of sleep on visual plasticity and modifies the underlying neurochemical processes. bioRxiv 2024:2024.01.21.576529. [PMID: 38328250 PMCID: PMC10849493 DOI: 10.1101/2024.01.21.576529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Individuals experience difficulty falling asleep in a new environment, termed the first night effect (FNE). However, the impact of the FNE on sleep-induced brain plasticity remains unclear. Here, using a within-subject design, we found that the FNE significantly reduces visual plasticity during sleep in young adults. Sleep-onset latency (SOL), an indicator of the FNE, was significantly longer during the first sleep session than the second session, confirming the FNE. We assessed performance gains in visual perceptual learning after sleep and increases in the excitatory-to-inhibitory neurotransmitter (E/I) ratio in early visual areas during sleep using magnetic resonance spectroscopy and polysomnography. These parameters were significantly smaller in sleep with the FNE than in sleep without the FNE; however, these parameters were not correlated with SOL. These results suggest that while the neural mechanisms of the FNE and brain plasticity are independent, sleep disturbances temporarily block the neurochemical process fundamental for brain plasticity.
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22
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Sirucek L, Zoelch N, Schweinhardt P. Improving magnetic resonance spectroscopy in the brainstem periaqueductal gray using spectral registration. Magn Reson Med 2024; 91:28-38. [PMID: 37800387 DOI: 10.1002/mrm.29832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/08/2023] [Accepted: 07/31/2023] [Indexed: 10/07/2023]
Abstract
PURPOSE Functional understanding of the periaqueductal gray (PAG), a clinically relevant brainstem region, can be advanced using 1 H-MRS. However, the PAG's small size and high levels of physiological noise are methodologically challenging. This study aimed to (1) improve 1 H-MRS quality in the PAG using spectral registration for frequency and phase error correction; (2) investigate whether spectral registration is particularly useful in cases of greater head motion; and (3) examine metabolite quantification using literature-based or individual-based water relaxation times. METHODS Spectra were acquired in 33 healthy volunteers (50.1 years, SD = 17.19, 18 females) on a 3 T Philipps MR system using a point-resolved spectroscopy (PRESS) sequence optimized with very selective saturation pulses (OVERPRESS) and voxel-based flip angle calibration (effective volume of interest size: 8.8 × 10.2 × 12.2 mm3 ). Spectra were fitted using LCModel and SNR, NAA peak linewidths and Cramér-Rao lower bounds (CRLBs) were measured after spectral registration and after minimal frequency alignment. RESULTS Spectral registration improved SNR by 5% (p = 0.026, median value post-correction: 18.0) and spectral linewidth by 23% (p < 0.001, 4.3 Hz), and reduced the metabolites' CRLBs by 1% to 15% (p < 0.026). Correlational analyses revealed smaller SNR improvements with greater head motion (p = 0.010) recorded using a markerless motion tracking system. Higher metabolite concentrations were detected using individual-based compared to literature-based water relaxation times (p < 0.001). CONCLUSION This study demonstrates high-quality 1 H-MRS acquisition in the PAG using spectral registration. This shows promise for future 1 H-MRS studies in the PAG and possibly other clinically relevant brain regions with similar methodological challenges.
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Affiliation(s)
- Laura Sirucek
- Department of Chiropractic Medicine, Integrative Spinal Research Group, Balgrist University Hospital, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
| | - Niklaus Zoelch
- Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Petra Schweinhardt
- Department of Chiropractic Medicine, Integrative Spinal Research Group, Balgrist University Hospital, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
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23
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Li H, Chalavi S, Rasooli A, Rodríguez‐Nieto G, Seer C, Mikkelsen M, Edden RAE, Sunaert S, Peeters R, Mantini D, Swinnen SP. Baseline GABA+ levels in areas associated with sensorimotor control predict initial and long-term motor learning progress. Hum Brain Mapp 2024; 45:e26537. [PMID: 38140712 PMCID: PMC10789216 DOI: 10.1002/hbm.26537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 09/30/2023] [Accepted: 11/02/2023] [Indexed: 12/24/2023] Open
Abstract
Synaptic plasticity relies on the balance between excitation and inhibition in the brain. As the primary inhibitory and excitatory neurotransmitters, gamma-aminobutyric acid (GABA) and glutamate (Glu), play critical roles in synaptic plasticity and learning. However, the role of these neurometabolites in motor learning is still unclear. Furthermore, it remains to be investigated which neurometabolite levels from the regions composing the sensorimotor network predict future learning outcome. Here, we studied the role of baseline neurometabolite levels in four task-related brain areas during different stages of motor skill learning under two different feedback (FB) conditions. Fifty-one healthy participants were trained on a bimanual motor task over 5 days while receiving either concurrent augmented visual FB (CA-VFB group, N = 25) or terminal intrinsic visual FB (TA-VFB group, N = 26) of their performance. Additionally, MRS-measured baseline GABA+ (GABA + macromolecules) and Glx (Glu + glutamine) levels were measured in the primary motor cortex (M1), primary somatosensory cortex (S1), dorsolateral prefrontal cortex (DLPFC), and medial temporal cortex (MT/V5). Behaviorally, our results revealed that the CA-VFB group outperformed the TA-VFB group during task performance in the presence of augmented VFB, while the TA-VFB group outperformed the CA-VFB group in the absence of augmented FB. Moreover, baseline M1 GABA+ levels positively predicted and DLPFC GABA+ levels negatively predicted both initial and long-term motor learning progress in the TA-VFB group. In contrast, baseline S1 GABA+ levels positively predicted initial and long-term motor learning progress in the CA-VFB group. Glx levels did not predict learning progress. Together, these findings suggest that baseline GABA+ levels predict motor learning capability, yet depending on the FB training conditions afforded to the participants.
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Affiliation(s)
- Hong Li
- Movement Control and Neuroplasticity Research GroupGroup Biomedical Sciences, KU LeuvenLeuvenBelgium
- KU Leuven Brain Institute (LBI), KU LeuvenLeuvenBelgium
| | - Sima Chalavi
- Movement Control and Neuroplasticity Research GroupGroup Biomedical Sciences, KU LeuvenLeuvenBelgium
- KU Leuven Brain Institute (LBI), KU LeuvenLeuvenBelgium
| | - Amirhossein Rasooli
- Movement Control and Neuroplasticity Research GroupGroup Biomedical Sciences, KU LeuvenLeuvenBelgium
- KU Leuven Brain Institute (LBI), KU LeuvenLeuvenBelgium
| | - Geraldine Rodríguez‐Nieto
- Movement Control and Neuroplasticity Research GroupGroup Biomedical Sciences, KU LeuvenLeuvenBelgium
- KU Leuven Brain Institute (LBI), KU LeuvenLeuvenBelgium
| | - Caroline Seer
- Movement Control and Neuroplasticity Research GroupGroup Biomedical Sciences, KU LeuvenLeuvenBelgium
- KU Leuven Brain Institute (LBI), KU LeuvenLeuvenBelgium
| | - Mark Mikkelsen
- Department of RadiologyWeill Cornell MedicineNew YorkNew YorkUSA
| | - Richard A. E. Edden
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- F. M. Kirby Research Center for Functional Brain ImagingKennedy Krieger InstituteBaltimoreMarylandUSA
| | - Stefan Sunaert
- KU Leuven Brain Institute (LBI), KU LeuvenLeuvenBelgium
- Department of Imaging and PathologyKU Leuven and University Hospital Leuven (UZ Leuven)LeuvenBelgium
| | - Ron Peeters
- Department of Imaging and PathologyKU Leuven and University Hospital Leuven (UZ Leuven)LeuvenBelgium
| | - Dante Mantini
- Movement Control and Neuroplasticity Research GroupGroup Biomedical Sciences, KU LeuvenLeuvenBelgium
- KU Leuven Brain Institute (LBI), KU LeuvenLeuvenBelgium
| | - Stephan P. Swinnen
- Movement Control and Neuroplasticity Research GroupGroup Biomedical Sciences, KU LeuvenLeuvenBelgium
- KU Leuven Brain Institute (LBI), KU LeuvenLeuvenBelgium
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Bojesen KB, Rostrup E, Sigvard AK, Mikkelsen M, Edden RAE, Ebdrup BH, Glenthøj B. The Trajectory of Prefrontal GABA levels in Initially Antipsychotic-Naïve Patients with Psychosis during Two Years Treatment and associations with Striatal Cerebral Blood Flow and Outcome. Biol Psychiatry Cogn Neurosci Neuroimaging 2023:S2451-9022(23)00339-7. [PMID: 38145706 DOI: 10.1016/j.bpsc.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 11/03/2023] [Accepted: 12/15/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Gamma-aminobutyric acid (GABA)-ergic function in the prefrontal cortex seems dysfunctional in first-episode patients with psychosis, but the impact of longer-term treatment and relation to clinical outcomes as well as striatal activity are unknown. METHODS Longitudinal study of 39 antipsychotic-naïve and benzodiazepine-free patients with psychosis (22.4 ± 5.4 years, 64% females) and 54 matched healthy controls (HCs) (22.2 ± 4.3 years, 61% females) followed-up after six weeks (28 patients, 51 HCs), six months (17 patients, 47 HCs), and two years (21 patients, 43 HCs). GABA levels in dorsal anterior cingulate cortex (dACC) and striatal resting cerebral blood flow (rCBF) were assessed on a 3T MR scanner at all visits. RESULTS GABA levels in dACC were significantly lower in patients at baseline and after six weeks, but not after six months and two years. Analyses of groups separately revealed decreased GABA levels after two years in HCs but stable levels in patients. Treatment increased striatal rCBF after six weeks and six months but not after two years. GABA levels were negatively associated with striatal rCBF in both groups at all visits. Last, lower baseline GABA levels in patients were related to less functional improvement after two years. CONCLUSIONS The findings suggest a different trajectory of GABA levels and striatal perfusion in first-episode patients over two years of antipsychotic treatment compared with HCs and indicate a downregulatory role of prefrontal GABAergic function on striatum. Moreover, abnormally low prefrontal GABA level at illness onset may be a marker for a more severe prognosis.
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Affiliation(s)
- Kirsten Borup Bojesen
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, University of Copenhagen, Glostrup, Denmark.
| | - Egill Rostrup
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, University of Copenhagen, Glostrup, Denmark; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet Glostrup, University of Copenhagen, Denmark
| | - Anne Korning Sigvard
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Mark Mikkelsen
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Baltimore, MD, USA
| | - Bjørn Hylsebeck Ebdrup
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, University of Copenhagen, Glostrup, Denmark; Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Birte Glenthøj
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, University of Copenhagen, Glostrup, Denmark; Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Denmark
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25
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Charney M, Foster S, Shukla V, Zhao W, Jiang SH, Kozlowska K, Lin A. Neurometabolic alterations in children and adolescents with functional neurological disorder. Neuroimage Clin 2023; 41:103557. [PMID: 38219534 PMCID: PMC10825645 DOI: 10.1016/j.nicl.2023.103557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 11/22/2023] [Accepted: 12/18/2023] [Indexed: 01/16/2024]
Abstract
OBJECTIVES In vivo magnetic resonance spectroscopy (MRS) was used to investigate neurometabolic homeostasis in children with functional neurological disorder (FND) in three regions of interest: supplementary motor area (SMA), anterior default mode network (aDMN), and posterior default mode network (dDMN). Metabolites assessed included N-acetyl aspartate (NAA), a marker of neuron function; myo-inositol (mI), a glial-cell marker; choline (Cho), a membrane marker; glutamate plus glutamine (Glx), a marker of excitatory neurotransmission; γ-aminobutyric acid (GABA), a marker of inhibitor neurotransmission; and creatine (Cr), an energy marker. The relationship between excitatory (glutamate and glutamine) and inhibitory (GABA) neurotransmitter (E/I) balance was also examined. METHODS MRS data were acquired for 32 children with mixed FND (25 girls, 7 boys, aged 10.00 to 16.08 years) and 41 healthy controls of similar age using both short echo point-resolved spectroscopy (PRESS) and Mescher-Garwood point-resolved spectroscopy (MEGAPRESS) sequences in the three regions of interest. RESULTS In the SMA, children with FND had lower NAA/Cr, mI/Cr (trend level), and GABA/Cr ratios. In the aDMN, no group differences in metabolite ratios were found. In the pDMN, children with FND had lower NAA/Cr and mI/Cr (trend level) ratios. While no group differences in E/I balance were found (FND vs. controls), E/I balance in the aDMN was lower in children with functional seizures-a subgroup within the FND group. Pearson correlations found that increased arousal (indexed by higher heart rate) was associated with lower mI/Cr in the SMA and pDMN. CONCLUSIONS Our findings of multiple differences in neurometabolites in children with FND suggest dysfunction on multiple levels of the biological system: the neuron (lower NAA), the glial cell (lower mI), and inhibitory neurotransmission (lower GABA), as well as dysfunction in energy regulation in the subgroup with functional seizures.
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Affiliation(s)
- Molly Charney
- Department of Neurology, Columbia University Irving Medical Center, New York-Presbyterian, New York, NY, USA; Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sheryl Foster
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Department of Radiology, Westmead Hospital, Westmead, NSW 2145, Australia
| | - Vishwa Shukla
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Wufan Zhao
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sam H Jiang
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kasia Kozlowska
- Department of Psychological Medicine, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia; Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2050, Australia; Brain Dynamics Centre, Westmead Institute of Medical Research, Faculty of Medicine and Health, University of Sydney, Westmead, NSW 2145, Australia.
| | - Alexander Lin
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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26
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Yu M, Lin L, Xu K, Xu M, Ren J, Niu X, Gao X, Zhang M, Yang Z, Dang J, Tao Q, Han S, Wang W, Cheng J, Zhang Y. Changes in aspartate metabolism in the medial-prefrontal cortex of nicotine addicts based on J-edited magnetic resonance spectroscopy. Hum Brain Mapp 2023; 44:6429-6438. [PMID: 37909379 PMCID: PMC10681642 DOI: 10.1002/hbm.26519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 09/05/2023] [Accepted: 10/04/2023] [Indexed: 11/03/2023] Open
Abstract
This study aims to explore the changes of the aspartate (Asp) level in the medial-prefrontal cortex (mPFC) of subjects with nicotine addiction (nicotine addicts [NAs]) using the J-edited 1 H MR spectroscopy (MRS), which may provide a positive imaging evidence for intervention of NA. From March to August 2022, 45 males aged 40-60 years old were recruited from Henan Province, including 21 in NA and 24 in nonsmoker groups. All subjects underwent routine magnetic resonance imaging (MRI) and J-edited MRS scans on a 3.0 T MRI scanner. The Asp level in mPFC was quantified with reference to the total creatine (Asp/Cr) and water (Aspwater-corr , with correction of the brain tissue composition) signals, respectively. Two-tailed independent samples t-test was used to analyze the differences in levels of Asp and other coquantified metabolites (including total N-acetylaspartate [tNAA], total cholinine [tCho], total creatine [tCr], and myo-Inositol [mI]) between the two groups. Finally, the correlations of the Asp level with clinical characteristic assessment scales were performed using the Spearman criteria. Compared with the control group (n = 22), NAs (n = 18) had higher levels of Asp (Asp/Cr: p = .005; Aspwater-corr : p = .004) in the mPFC, and the level of Asp was positively correlated with the daily smoking amount (Asp/Cr: p < .001; Aspwater-corr : p = .004). No significant correlation was found between the level of Asp and the years of nicotine use, Fagerstrom Nicotine Dependence (FTND), Russell Reason for Smoking Questionnaire (RRSQ), or Barratt Impulsivity Scale (BIS-11) score. The elevated Asp level was observed in mPFC of NAs in contrast to nonsmokers, and the Asp level was positively correlated with the amount of daily smoking, which suggests that nicotine addiction may result in elevated Asp metabolism in the human brain.
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Affiliation(s)
- Miaomiao Yu
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Liangjie Lin
- Clinical and Technical SupportPhilips HealthcareBeijingChina
| | - Ke Xu
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Man Xu
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Jianxin Ren
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Xiaoyu Niu
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Xinyu Gao
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Mengzhe Zhang
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Zhengui Yang
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Jinghan Dang
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Qiuying Tao
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Shaoqiang Han
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Weijian Wang
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Jingliang Cheng
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Yong Zhang
- Department of Magnetic Resonance ImagingThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
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27
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Marinkovic K, White DR, Alderson Myers A, Parker KS, Arienzo D, Mason GF. Cortical GABA Levels Are Reduced in Post-Acute COVID-19 Syndrome. Brain Sci 2023; 13:1666. [PMID: 38137114 PMCID: PMC10741691 DOI: 10.3390/brainsci13121666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 11/28/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023] Open
Abstract
After recovering from the acute COVID-19 illness, a substantial proportion of people continue experiencing post-acute sequelae of COVID-19 (PASC), also termed "long COVID". Their quality of life is adversely impacted by persistent cognitive dysfunction and affective distress, but the underlying neural mechanisms are poorly understood. The present study recruited a group of mostly young, previously healthy adults (24.4 ± 5.2 years of age) who experienced PASC for almost 6 months following a mild acute COVID-19 illness. Confirming prior evidence, they reported noticeable memory and attention deficits, brain fog, depression/anxiety, fatigue, and other symptoms potentially suggestive of excitation/inhibition imbalance. Proton magnetic resonance spectroscopy (1H-MRS) was used to examine the neurochemical aspects of cell signaling with an emphasis on GABA levels in the occipital cortex. The PASC participants were compared to a control (CNT) group matched in demographics, intelligence, and an array of other variables. Controlling for tissue composition, biological sex, and alcohol intake, the PASC group had lower GABA+/water than CNT, which correlated with depression and poor sleep quality. The mediation analysis revealed that the impact of PASC on depression was partly mediated by lower GABA+/water, indicative of cortical hyperexcitability as an underlying mechanism. In addition, N-acetylaspartate (NAA) tended to be lower in the PASC group, possibly suggesting compromised neuronal integrity. Persistent neuroinflammation may contribute to the pathogenesis of PASC-related neurocognitive dysfunction.
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Affiliation(s)
- Ksenija Marinkovic
- Spatio-Temporal Brain Imaging Lab, Department of Psychology, San Diego State University, San Diego, CA 92182, USA (A.A.M.); (D.A.)
- Department of Radiology, University of California, San Diego, CA 92093, USA
| | - David R. White
- Spatio-Temporal Brain Imaging Lab, Department of Psychology, San Diego State University, San Diego, CA 92182, USA (A.A.M.); (D.A.)
| | - Austin Alderson Myers
- Spatio-Temporal Brain Imaging Lab, Department of Psychology, San Diego State University, San Diego, CA 92182, USA (A.A.M.); (D.A.)
- Department of Psychiatry, University of California, San Diego, CA 92093, USA
| | - Katie S. Parker
- Spatio-Temporal Brain Imaging Lab, Department of Psychology, San Diego State University, San Diego, CA 92182, USA (A.A.M.); (D.A.)
| | - Donatello Arienzo
- Spatio-Temporal Brain Imaging Lab, Department of Psychology, San Diego State University, San Diego, CA 92182, USA (A.A.M.); (D.A.)
- Department of Radiology, University of California, San Diego, CA 92093, USA
| | - Graeme F. Mason
- Department of Radiology and Biomedical Imaging, Psychiatry, and Biomedical Engineering, Yale University, New Haven, CT 06520, USA;
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28
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Mawla I, Huang Z, Kaplan CM, Ichesco E, Waller N, Larkin TE, Zöllner HJ, Edden RA, Harte SE, Clauw DJ, Mashour GA, Napadow V, Harris RE. Large-scale momentary brain co-activation patterns are associated with hyperalgesia and mediate focal neurochemistry and cross-network functional connectivity in fibromyalgia. Pain 2023; 164:2737-2748. [PMID: 37751539 PMCID: PMC10652715 DOI: 10.1097/j.pain.0000000000002973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/14/2023] [Accepted: 05/02/2023] [Indexed: 09/28/2023]
Abstract
ABSTRACT Fibromyalgia has been characterized by augmented cross-network functional communication between the brain's sensorimotor, default mode, and attentional (salience/ventral and dorsal) networks. However, the underlying mechanisms of these aberrant communication patterns are unknown. In this study, we sought to understand large-scale topographic patterns at instantaneous timepoints, known as co-activation patterns (CAPs). We found that a sustained pressure pain challenge temporally modulated the occurrence of CAPs. Using proton magnetic resonance spectroscopy, we found that greater basal excitatory over inhibitory neurotransmitter levels within the anterior insula orchestrated higher cross-network connectivity between the anterior insula and the default mode network through lower occurrence of a CAP encompassing the attentional networks during sustained pain. Moreover, we found that hyperalgesia in fibromyalgia was mediated through increased occurrence of a CAP encompassing the sensorimotor network during sustained pain. In conclusion, this study elucidates the role of momentary large-scale topographic brain patterns in shaping noxious information in patients with fibromyalgia, while laying the groundwork for using precise spatiotemporal dynamics of the brain for the potential development of therapeutics.
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Affiliation(s)
- Ishtiaq Mawla
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, United States
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, United States
| | - Zirui Huang
- Department of Anesthesiology, Center for Consciousness Science, University of Michigan, Ann Arbor, MI, United States
| | - Chelsea M. Kaplan
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, United States
| | - Eric Ichesco
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, United States
| | - Noah Waller
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, United States
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, United States
| | - Tony E. Larkin
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, United States
| | - Helge J. Zöllner
- 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
| | - Steven E. Harte
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, United States
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, United States
| | - Daniel J. Clauw
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, United States
| | - George A. Mashour
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, United States
- Department of Anesthesiology, Center for Consciousness Science, University of Michigan, Ann Arbor, MI, United States
| | - Vitaly Napadow
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Network, Harvard Medical School, Charlestown, MA, United States
| | - Richard E. Harris
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, United States
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, United States
- Susan Samueli Integrative Health Institute, School of Medicine, University of California at Irvine, Irvine, CA, United States
- Department of Anesthesiology and Perioperative Care, School of Medicine, University of California at Irvine, Irvine, CA, United States
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29
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Johnson AJ, Shankland E, Richards T, Corrigan N, Shusterman D, Edden R, Estes A, St John T, Dager S, Kleinhans NM. Relationships between GABA, glutamate, and GABA/glutamate and social and olfactory processing in children with autism spectrum disorder. Psychiatry Res Neuroimaging 2023; 336:111745. [PMID: 37956467 PMCID: PMC10841920 DOI: 10.1016/j.pscychresns.2023.111745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/16/2023] [Accepted: 10/19/2023] [Indexed: 11/15/2023]
Abstract
Theories of altered inhibitory/excitatory signaling in autism spectrum disorder (ASD) suggest that gamma amino butyric acid (GABA) and glutamate (Glu) abnormalities may underlie social and sensory challenges in ASD. Magnetic resonance spectroscopy was used to measure Glu and GABA+ levels in the amygdala-hippocampus region and cerebellum in autistic children (n = 30), a clinical control group with sensory abnormalities (SA) but not ASD (n = 30), and children with typical development (n = 37). All participants were clinically assessed using the Autism Diagnostic Interview-Revised, the Autism Diagnostic Observation Scale-2, and the Child Sensory Profile-2. The Social Responsiveness Scale-2, Sniffin Sticks Threshold Test, and the University of Pennsylvania Smell Identification Test were administered to assess social impairment and olfactory processing. Overall, autistic children showed increased cerebellar Glu levels compared to TYP children. Evidence for altered excitatory/inhibitory signaling in the cerebellum was more clear-cut when analyses were restricted to male participants. Further, lower cerebellar GABA+/Glu ratios were correlated to more severe social impairment in both autistic and SA males, suggesting that the cerebellum may play a transdiagnostic role in social impairment. Future studies of inhibitory/excitatory neural markers, powered to investigate the role of sex, may aid in parsing out disorder-specific neurochemical profiles.
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Affiliation(s)
- Allegra J Johnson
- Department of Radiology, University of Washington, USA; Integrated Brain Imaging Center (IBIC), University of Washington, Box 357115, 1959 NE Pacific St, Seattle, WA 98195, USA
| | | | - Todd Richards
- Department of Radiology, University of Washington, USA; Integrated Brain Imaging Center (IBIC), University of Washington, Box 357115, 1959 NE Pacific St, Seattle, WA 98195, USA
| | - Neva Corrigan
- Institute on Human Development and Disability (IHDD), University of Washington, USA
| | - Dennis Shusterman
- Department of Medicine, University of California, San Francisco, USA
| | - Richard Edden
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, USA; F.M. Kirby Center for Functional MRI, Kennedy Krieger Institute, USA
| | - Annette Estes
- Institute on Human Development and Disability (IHDD), University of Washington, USA; Department of Speech and Hearing Sciences, University of Washington, USA; University of Washington Autism Center, USA
| | - Tanya St John
- University of Washington Autism Center, USA; Department of Medicine, University of California, San Francisco, USA
| | - Stephen Dager
- Department of Radiology, University of Washington, USA; Institute on Human Development and Disability (IHDD), University of Washington, USA; Department of Biomedical Engineering, University of Washington, USA
| | - Natalia M Kleinhans
- Department of Radiology, University of Washington, USA; Integrated Brain Imaging Center (IBIC), University of Washington, Box 357115, 1959 NE Pacific St, Seattle, WA 98195, USA; Institute on Human Development and Disability (IHDD), University of Washington, USA.
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30
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Savage K, Sarris J, Hughes M, Bousman CA, Rossell S, Scholey A, Stough C, Suo C. Neuroimaging Insights: Kava's ( Piper methysticum) Effect on Dorsal Anterior Cingulate Cortex GABA in Generalized Anxiety Disorder. Nutrients 2023; 15:4586. [PMID: 37960239 PMCID: PMC10649338 DOI: 10.3390/nu15214586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/07/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Generalised Anxiety Disorder (GAD) is a prevalent, chronic mental health disorder. The measurement of regional brain gamma-aminobutyric acid (GABA) offers insight into its role in anxiety and is a potential biomarker for treatment response. Research literature suggests Piper methysticum (Kava) is efficacious as an anxiety treatment, but no study has assessed its effects on central GABA levels. This study investigated dorsal anterior cingulate (dACC) GABA levels in 37 adult participants with GAD. GABA was measured using proton magnetic resonance spectroscopy (1H-MRS) at baseline and following an eight-week administration of Kava (standardised to 120 mg kavalactones twice daily) (n = 20) or placebo (n = 17). This study was part of the Kava for the Treatment of GAD (KGAD; ClinicalTrials.gov: NCT02219880), a 16-week intervention study. Compared with the placebo group, the Kava group had a significant reduction in dACC GABA (p = 0.049) at eight weeks. Baseline anxiety scores on the HAM-A were positively correlated with GABA levels but were not significantly related to treatment. Central GABA reductions following Kava treatment may signal an inhibitory effect, which, if considered efficacious, suggests that GABA levels are modulated by Kava, independent of reported anxiety symptoms. dACC GABA patterns suggest a functional role of higher levels in clinical anxiety but warrants further research for symptom benefit. Findings suggest that dACC GABA levels previously un-examined in GAD could serve as a biomarker for diagnosis and treatment response.
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Affiliation(s)
- Karen Savage
- Centre for Human Psychopharmacology, Swinburne University of Technology, 427-451 Burwood Road, Melbourne 3122, Australia
- Florey Institute of Neuroscience and Mental Health, Melbourne University, Melbourne 3121, Australia
| | - Jerome Sarris
- Florey Institute of Neuroscience and Mental Health, Melbourne University, Melbourne 3121, Australia
- NICM Health Research Institute, Western Sydney University, Sydney 2751, Australia
| | - Matthew Hughes
- Centre for Mental Health, Swinburne University of Technology, Melbourne 3122, Australia
| | - Chad A. Bousman
- Departments of Medical Genetics, Psychiatry, Physiology & Pharmacology, and Community Health Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Susan Rossell
- Centre for Mental Health, Swinburne University of Technology, Melbourne 3122, Australia
- Mental Health, St Vincent’s Hospital Melbourne, Melbourne 3065, Australia
| | - Andrew Scholey
- Centre for Human Psychopharmacology, Swinburne University of Technology, 427-451 Burwood Road, Melbourne 3122, Australia
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne 3168, Australia
| | - Con Stough
- Centre for Human Psychopharmacology, Swinburne University of Technology, 427-451 Burwood Road, Melbourne 3122, Australia
| | - Chao Suo
- Brain Park, Turner Institute of Brain and Mind, Monash University, Melbourne 3800, Australia
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31
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Papadelis C, Ntolkeras G, Tokatly Latzer I, DiBacco ML, Afacan O, Warfield S, Shi X, Roullet JB, Gibson KM, Pearl PL. Reduced evoked cortical beta and gamma activity and neuronal synchronization in succinic semialdehyde dehydrogenase deficiency, a disorder of γ-aminobutyric acid metabolism. Brain Commun 2023; 5:fcad291. [PMID: 37953848 PMCID: PMC10636566 DOI: 10.1093/braincomms/fcad291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/22/2023] [Accepted: 10/24/2023] [Indexed: 11/14/2023] Open
Abstract
Succinic semialdehyde dehydrogenase deficiency is a rare autosomal recessively inherited metabolic disorder of γ-aminobutyric acid catabolism manifested by intellectual disability, expressive aphasia, movement disorders, psychiatric ailments and epilepsy. Subjects with succinic semialdehyde dehydrogenase deficiency are characterized by elevated γ-aminobutyric acid and related metabolites, such as γ-guanidinobutyric acid, and an age-dependent downregulation of cerebral γ-aminobutyric acid receptors. These findings indicate impaired γ-aminobutyric acid and γ-aminobutyric acid sub-type A (GABAA) receptor signalling as major factors underlying the pathophysiology of this neurometabolic disorder. We studied the cortical oscillation patterns and their relationship with γ-aminobutyric acid metabolism in 18 children affected by this condition and 10 healthy controls. Using high-density EEG, we recorded somatosensory cortical responses and resting-state activity. Using electrical source imaging, we estimated the relative power changes (compared with baseline) in both stimulus-evoked and stimulus-induced responses for physiologically relevant frequency bands and resting-state power. Stimulus-evoked oscillations are phase locked to the stimulus, whereas induced oscillations are not. Power changes for both evoked and induced responses as well as resting-state power were correlated with plasma γ-aminobutyric acid and γ-guanidinobutyric acid concentrations and with cortical γ-aminobutyric acid measured by proton magnetic resonance spectroscopy. Plasma γ-aminobutyric acid, γ-guanidinobutyric acid and cortical γ-aminobutyric acid were higher in patients than in controls (P < 0.001 for both). Beta and gamma relative power were suppressed for evoked responses in patients versus controls (P < 0.01). No group differences were observed for induced activity (P > 0.05). The mean gamma frequency of evoked responses was lower in patients versus controls (P = 0.002). Resting-state activity was suppressed in patients for theta (P = 0.011) and gamma (P < 0.001) bands. Evoked power changes were inversely correlated with plasma γ-aminobutyric acid and with γ-guanidinobutyric acid for beta (P < 0.001) and gamma (P < 0.001) bands. Similar relationships were observed between the evoked power changes and cortical γ-aminobutyric acid for all tested areas in the beta band (P < 0.001) and for the posterior cingulate gyrus in the gamma band (P < 0.001). We also observed a negative correlation between resting-state activity and plasma γ-aminobutyric acid and γ-guanidinobutyric acid for theta (P < 0.001; P = 0.003), alpha (P = 0.003; P = 0.02) and gamma (P = 0.02; P = 0.01) bands. Our findings indicate that increased γ-aminobutyric acid concentration is associated with reduced sensory-evoked beta and gamma activity and impaired neuronal synchronization in patients with succinic semialdehyde dehydrogenase deficiency. This further elucidates the pathophysiology of this neurometabolic disorder and serves as a potential biomarker for therapeutic trials.
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Affiliation(s)
- Christos Papadelis
- Jane and John Justin Institute for Mind Health, Cook Children’s Health Care System, Fort Worth, TX 76104, USA
- School of Medicine, Texas Christian University, Fort Worth, TX 76129, USA
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Georgios Ntolkeras
- Division of Newborn Medicine, Department of Medicine, Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Itay Tokatly Latzer
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02129, USA
- Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv 69978, Israel
| | - Melissa L DiBacco
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Onur Afacan
- Department of Radiology, Computational Radiology Laboratory, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Simon Warfield
- Department of Radiology, Computational Radiology Laboratory, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Xutong Shi
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA 99202, USA
| | - Jean-Baptiste Roullet
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA 99202, USA
| | - K Michael Gibson
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA 99202, USA
| | - Phillip L Pearl
- Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02129, USA
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Sugita K, Anan M, Matsuta H, Shimomura T, Fudaba H, Hata N, Fujiki M. Quantitative GABA magnetic resonance spectroscopy as a measure of motor learning function in the motor cortex after subarachnoid hemorrhage. Front Neurol 2023; 14:1173285. [PMID: 37900594 PMCID: PMC10603245 DOI: 10.3389/fneur.2023.1173285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 08/31/2023] [Indexed: 10/31/2023] Open
Abstract
The neural mechanisms underlying gross and fine motor dysfunction after subarachnoid hemorrhage (SAH) remain unknown. The γ-aminobutyric acid (GABA) deficit hypothesis proposes that reduced neuronal GABA concentrations and the subsequent lack of GABA-mediated inhibition cause motor impairment after SAH. This study aimed to explore the correlation between GABA levels and a behavioral measure of motor performance in patients with SAH. Motor cortical GABA levels were assessed in 40 patients with SAH and 10 age-matched healthy controls using proton magnetic resonance spectroscopy. The GABA and N-acetylasparate (NAA) ratio was measured in the normal gray matter within the primary motor cortex. The relationship between GABA concentration and hand-motor performance was also evaluated. Results showed significantly lower GABA levels in patients with SAH's left motor cortex than in controls (GABA/NAA ratio: 0.282 ± 0.085 vs. 0.341 ± 0.031, respectively; p = 0.041). Reaction times (RTs), a behavioral measure of motor performance potentially dependent on GABAergic synaptic transmission, were significantly longer in patients than in controls (936.8 ± 303.8 vs. 440.2 ± 67.3 ms, respectively; p < 0.001). Moreover, motor cortical GABA levels and RTs exhibited a significant positive linear correlation among patients (r = 0.572, rs = 0.327, p = 0.0001). Therefore, a decrease in GABA levels in the primary motor cortex after SAH may lead to impaired cortical inhibition of neuronal function and indicates that GABA-mediated synaptic transmission in the motor cortex is critical for RT.
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Watson M, Chaves AR, Gebara A, Desforges M, Broomfield A, Landry N, Lemoyne A, Shim S, Drodge J, Cuda J, Kiaee N, Nasr Y, Carleton C, Daskalakis ZJ, Taylor R, Tuominen L, Brender R, Antochi R, McMurray L, Tremblay S. A naturalistic study comparing the efficacy of unilateral and bilateral sequential theta burst stimulation in treating major depression - the U-B-D study protocol. BMC Psychiatry 2023; 23:739. [PMID: 37817124 PMCID: PMC10566125 DOI: 10.1186/s12888-023-05243-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 10/01/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a prevalent mental health condition affecting millions worldwide, leading to disability and reduced quality of life. MDD poses a global health priority due to its early onset and association with other disabling conditions. Available treatments for MDD exhibit varying effectiveness, and a substantial portion of individuals remain resistant to treatment. Repetitive transcranial magnetic stimulation (rTMS), applied to the left and/or right dorsolateral prefrontal cortex (DLPFC), is an alternative treatment strategy for those experiencing treatment-resistant MDD. The objective of this study is to investigate whether this newer form of rTMS, namely theta burst stimulation (TBS), when performed unilaterally or bilaterally, is efficacious in treatment-resistant MDD. METHODS In this naturalistic, randomized double-blinded non-inferiority trial, participants with a major depressive episode will be randomized to receive either unilateral (i.e., continuous TBS [cTBS] to the right and sham TBS to the left DLPFC) or bilateral sequential TBS (i.e., cTBS to the right and intermittent TBS [iTBS] to the left DLPFC) delivered 5 days a week for 4-6 weeks. Responders will move onto a 6-month flexible maintenance phase where TBS treatment will be delivered at a decreasing frequency depending on degree of symptom mitigation. Several clinical assessments and neuroimaging and neurophysiological biomarkers will be collected to investigate treatment response and potential associated biomarkers. A non-inferiority analysis will investigate whether bilateral sequential TBS is non-inferior to unilateral TBS and regression analyses will investigate biomarkers of treatment response. We expect to recruit a maximal of 256 participants. This trial is approved by the Research Ethics Board of The Royal's Institute of Mental Health Research (REB# 2,019,071) and will follow the Declaration of Helsinki. Findings will be published in peer-reviewed journals. DISCUSSION Comprehensive assessment of symptoms and neurophysiological biomarkers will contribute to understanding the differential efficacy of the tested treatment protocols, identifying biomarkers for treatment response, and shedding light into underlying mechanisms of TBS. Our findings will inform future clinical trials and aid in personalizing treatment selection and scheduling for individuals with MDD. TRIAL REGISTRATION The trial is registered on https://clinicaltrials.gov/ct2/home (#NCT04142996).
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Affiliation(s)
- Molly Watson
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
- Department of Neuroscience, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada
| | - Arthur R Chaves
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
- Faculty of Health Sciences, University of Ottawa, 125 University, Ottawa, ON, K1N6N5, Canada
| | - Abir Gebara
- School of Medicine, Stanford University, 300 Pasteur Drive, Stanford, CA, 94305, USA
| | - Manon Desforges
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
- Département de Psychoéducation Et Psychologie, Université du Québec en Outaouais, 283 Alexandre-Taché Boul, Gatineau, QC, J8X 3X7, Canada
| | - Antoinette Broomfield
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
| | - Noémie Landry
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
- Département de Psychoéducation Et Psychologie, Université du Québec en Outaouais, 283 Alexandre-Taché Boul, Gatineau, QC, J8X 3X7, Canada
| | - Alexandra Lemoyne
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
- Département de Psychoéducation Et Psychologie, Université du Québec en Outaouais, 283 Alexandre-Taché Boul, Gatineau, QC, J8X 3X7, Canada
| | - Stacey Shim
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
| | - Jessica Drodge
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
| | - Jennifer Cuda
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
| | - Nasim Kiaee
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
- Department of Neuroscience, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada
| | - Youssef Nasr
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
| | - Christophe Carleton
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
- Département de Psychoéducation Et Psychologie, Université du Québec en Outaouais, 283 Alexandre-Taché Boul, Gatineau, QC, J8X 3X7, Canada
| | - Zafiris J Daskalakis
- Department of Psychiatry, University California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA
| | - Reggie Taylor
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
- Department of Physics, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada
| | - Lauri Tuominen
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
- Department of Psychiatry, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8M5, Canada
| | - Ram Brender
- Department of Psychiatry, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8M5, Canada
- Royal Ottawa Mental Health Centre, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
| | - Ruxandra Antochi
- Department of Psychiatry, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8M5, Canada
- Royal Ottawa Mental Health Centre, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
| | - Lisa McMurray
- Department of Psychiatry, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8M5, Canada
- Royal Ottawa Mental Health Centre, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada
| | - Sara Tremblay
- University of Ottawa Institute of Mental Health Research at The Royal, 1145 Carling Ave, Ottawa, ON, K1Z 7K4, Canada.
- Department of Neuroscience, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada.
- Département de Psychoéducation Et Psychologie, Université du Québec en Outaouais, 283 Alexandre-Taché Boul, Gatineau, QC, J8X 3X7, Canada.
- Department of Cellular and Molecular Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8M5, Canada.
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Mandal PK, Jindal K, Roy S, Arora Y, Sharma S, Joon S, Goel A, Ahasan Z, Maroon JC, Singh K, Sandal K, Tripathi M, Sharma P, Samkaria A, Gaur S, Shandilya S. SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform. Front Neurol 2023; 14:1258116. [PMID: 37859652 PMCID: PMC10582723 DOI: 10.3389/fneur.2023.1258116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 09/15/2023] [Indexed: 10/21/2023] Open
Abstract
Multimodal neuroimaging data of various brain disorders provides valuable information to understand brain function in health and disease. Various neuroimaging-based databases have been developed that mainly consist of volumetric magnetic resonance imaging (MRI) data. We present the comprehensive web-based neuroimaging platform "SWADESH" for hosting multi-disease, multimodal neuroimaging, and neuropsychological data along with analytical pipelines. This novel initiative includes neurochemical and magnetic susceptibility data for healthy and diseased conditions, acquired using MR spectroscopy (MRS) and quantitative susceptibility mapping (QSM) respectively. The SWADESH architecture also provides a neuroimaging database which includes MRI, MRS, functional MRI (fMRI), diffusion weighted imaging (DWI), QSM, neuropsychological data and associated data analysis pipelines. Our final objective is to provide a master database of major brain disease states (neurodegenerative, neuropsychiatric, neurodevelopmental, and others) and to identify characteristic features and biomarkers associated with such disorders.
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Affiliation(s)
- Pravat K. Mandal
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
- Florey Institute of Neuroscience and Mental Health, Melbourne School of Medicine Campus, Melbourne, VIC, Australia
| | - Komal Jindal
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Saurav Roy
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Yashika Arora
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Shallu Sharma
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Shallu Joon
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Anshika Goel
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Zoheb Ahasan
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Joseph C. Maroon
- Department of Neurosurgery, University of Pittsburgh Medical School, Pittsburgh, PA, United States
| | - Kuldeep Singh
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Kanika Sandal
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Manjari Tripathi
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Pooja Sharma
- Medanta Institute of Education and Research, Medanta-The Medicity Hospital, Gurgaon, India
| | - Avantika Samkaria
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Shradha Gaur
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
| | - Sandhya Shandilya
- Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India
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Mancini V, Saleh MG, Delavari F, Bagautdinova J, Eliez S. Excitatory/Inhibitory Imbalance Underlies Hippocampal Atrophy in Individuals With 22q11.2 Deletion Syndrome With Psychotic Symptoms. Biol Psychiatry 2023; 94:569-579. [PMID: 37011759 DOI: 10.1016/j.biopsych.2023.03.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 03/10/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023]
Abstract
BACKGROUND Abnormal neurotransmitter levels have been reported in individuals at high risk for schizophrenia, leading to a shift in the excitatory/inhibitory balance. However, it is unclear whether these alterations predate the onset of clinically relevant symptoms. Our aim was to explore in vivo measures of excitatory/inhibitory balance in 22q11.2 deletion carriers, a population at genetic risk for psychosis. METHODS Glx (glutamate+glutamine) and GABA+ (gamma-aminobutyric acid with macromolecules and homocarnosine) concentrations were estimated in the anterior cingulate cortex, superior temporal cortex, and hippocampus using the Mescher-Garwood point-resolved spectroscopy (MEGA-PRESS) sequence and the Gannet toolbox in 52 deletion carriers and 42 control participants. T1-weighted images were acquired longitudinally and processed with FreeSurfer version 6 to extract hippocampal volume. Subgroup analyses were conducted in deletion carriers with psychotic symptoms. RESULTS While no differences were found in the anterior cingulate cortex, deletion carriers had higher levels of Glx in the hippocampus and superior temporal cortex and lower levels of GABA+ in the hippocampus than control participants. We additionally found a higher Glx concentration in the hippocampus of deletion carriers with psychotic symptoms. Finally, more pronounced hippocampal atrophy was significantly associated with increased Glx levels in deletion carriers. CONCLUSIONS We provide evidence for an excitatory/inhibitory imbalance in temporal brain structures of deletion carriers, with a further hippocampal Glx increase in individuals with psychotic symptoms that was associated with hippocampal atrophy. These results are in line with theories proposing abnormally enhanced glutamate levels as a mechanistic explanation for hippocampal atrophy via excitotoxicity. Our results highlight a central role of glutamate in the hippocampus of individuals at genetic risk for schizophrenia.
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Affiliation(s)
- Valentina Mancini
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.
| | - Muhammad G Saleh
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Farnaz Delavari
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
| | - Joëlle Bagautdinova
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland; Department of Genetic Medicine and Development, University of Geneva School of Medicine, Geneva, Switzerland
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Song Y, Hupfeld KE, Davies-Jenkins CW, Zöllner HJ, Murali-Manohar S, Mumuni AN, Crocetti D, Yedavalli V, Oeltzschner G, Alessi N, Batschelett MA, Puts NAJ, Mostofsky SH, Edden RAE. Brain Glutathione and GABA+ levels in autistic children. bioRxiv 2023:2023.09.28.559718. [PMID: 37808813 PMCID: PMC10557661 DOI: 10.1101/2023.09.28.559718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication challenges and repetitive behaviors. Altered neurometabolite levels, including glutathione (GSH) and gamma-aminobutyric acid (GABA), have been proposed as potential contributors to the biology underlying ASD. This study investigated whether cerebral GSH or GABA levels differ between a large cohort of children aged 8-12 years with ASD (n=52) and typically developing children (TDC, n=49). A comprehensive analysis of GSH and GABA levels in multiple brain regions, including the primary motor cortex (SM1), thalamus (Thal), medial prefrontal cortex (mPFC), and supplementary motor area (SMA), was conducted using single-voxel HERMES MR spectroscopy at 3T. The results revealed no significant differences in cerebral GSH or GABA levels between the ASD and TDC groups across all examined regions. These findings suggest that the concentrations of GSH (an important antioxidant and neuromodulator) and GABA (a major inhibitory neurotransmitter) do not exhibit marked alterations in children with ASD compared to TDC. A statistically significant positive correlation was observed between GABA levels in the SM1 and Thal regions with ADHD inattention scores. No significant correlation was found between metabolite levels and hyper/impulsive scores of ADHD, measures of core ASD symptoms (ADOS-2, SRS-P) or adaptive behavior (ABAS-2). While both GSH and GABA have been implicated in various neurological disorders, the current study provides valuable insights into the specific context of ASD and highlights the need for further research to explore other neurochemical alterations that may contribute to the pathophysiology of this complex disorder.
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Affiliation(s)
- Yulu Song
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Kathleen E Hupfeld
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Christopher W Davies-Jenkins
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Helge J Zöllner
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Saipavitra Murali-Manohar
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | | | - Deana Crocetti
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Vivek Yedavalli
- The Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Georg Oeltzschner
- The Russel H. Morgan Department of Radiology and Radiological Science, 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
| | - Natalie Alessi
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Mitchell A Batschelett
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Nicolaas A J Puts
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- MRC Center for Neurodevelopmental Disorders, King's College London, London, United Kingdom
| | - Stewart H Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Richard A E Edden
- The Russel H. Morgan Department of Radiology and Radiological Science, 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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Kondo HM, Terashima H, Kihara K, Kochiyama T, Shimada Y, Kawahara JI. Prefrontal GABA and glutamate-glutamine levels affect sustained attention. Cereb Cortex 2023; 33:10441-10452. [PMID: 37562851 PMCID: PMC10545440 DOI: 10.1093/cercor/bhad294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/22/2023] [Accepted: 07/23/2023] [Indexed: 08/12/2023] Open
Abstract
Attention levels fluctuate during the course of daily activities. However, factors underlying sustained attention are still unknown. We investigated mechanisms of sustained attention using psychological, neuroimaging, and neurochemical approaches. Participants were scanned with functional magnetic resonance imaging (fMRI) while performing gradual-onset, continuous performance tasks (gradCPTs). In gradCPTs, narrations or visual scenes gradually changed from one to the next. Participants pressed a button for frequent Go trials as quickly as possible and withheld responses to infrequent No-go trials. Performance was better for the visual gradCPT than for the auditory gradCPT, but the 2 were correlated. The dorsal attention network was activated during intermittent responses, regardless of sensory modality. Reaction-time variability of gradCPTs was correlated with signal changes (SCs) in the left fronto-parietal regions. We also used magnetic resonance spectroscopy (MRS) to measure levels of glutamate-glutamine (Glx) and γ-aminobutyric acid (GABA) in the left prefrontal cortex (PFC). Glx levels were associated with performance under undemanding situations, whereas GABA levels were related to performance under demanding situations. Combined fMRI-MRS results demonstrated that SCs of the left PFC were positively correlated with neurometabolite levels. These findings suggest that a neural balance between excitation and inhibition is involved in attentional fluctuations and brain dynamics.
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Affiliation(s)
- Hirohito M Kondo
- Department of Psychology, School of Psychology, Chukyo University, Nagoya, Aichi 466-8666, Japan
| | - Hiroki Terashima
- Human Information Science Laboratory, NTT Communication Science Laboratories, NTT Corporation, Atsugi, Kanagawa 243-0198, Japan
| | - Ken Kihara
- Department of Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8566, Japan
| | - Takanori Kochiyama
- Brain Activity Imaging Center, ATR-Promotions, Seika-cho, Kyoto 619-0288, Japan
| | - Yasuhiro Shimada
- Brain Activity Imaging Center, ATR-Promotions, Seika-cho, Kyoto 619-0288, Japan
| | - Jun I Kawahara
- Department of Psychology, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan
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Frank SM, Becker M, Malloni WM, Sasaki Y, Greenlee MW, Watanabe T. Protocol to conduct functional magnetic resonance spectroscopy in different age groups of human participants. STAR Protoc 2023; 4:102493. [PMID: 37572324 PMCID: PMC10448431 DOI: 10.1016/j.xpro.2023.102493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/02/2023] [Accepted: 07/17/2023] [Indexed: 08/14/2023] Open
Abstract
We present a protocol to conduct functional magnetic resonance spectroscopy (fMRS) in human participants before, during, and after training on a visual task. We describe steps for participant setup, volume-of-interest placement, fMRS measurement, and post-scan tests. We discuss the design, analysis, and interpretation of fMRS experiments. This protocol can be adapted to investigate the dynamics of chief excitatory and inhibitory neurotransmitters (glutamate and γ-aminobutyric acid, GABA, respectively) while participants perform or learn perceptual, motor, or cognitive tasks. For complete details on the use and execution of this protocol, please refer to Frank et al. (2022).1.
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Affiliation(s)
- Sebastian M Frank
- University of Regensburg, Institute for Experimental Psychology, Universitätsstraße 31, 93053 Regensburg, Germany.
| | - Markus Becker
- University of Regensburg, Institute for Experimental Psychology, Universitätsstraße 31, 93053 Regensburg, Germany
| | - Wilhelm M Malloni
- University of Regensburg, Institute for Experimental Psychology, Universitätsstraße 31, 93053 Regensburg, Germany
| | - Yuka Sasaki
- Brown University, Department of Cognitive, Linguistic and Psychological Sciences, 190 Thayer St., Providence, RI 02912, USA
| | - Mark W Greenlee
- University of Regensburg, Institute for Experimental Psychology, Universitätsstraße 31, 93053 Regensburg, Germany
| | - Takeo Watanabe
- Brown University, Department of Cognitive, Linguistic and Psychological Sciences, 190 Thayer St., Providence, RI 02912, USA.
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Yaakub SN, White TA, Roberts J, Martin E, Verhagen L, Stagg CJ, Hall S, Fouragnan EF. Transcranial focused ultrasound-mediated neurochemical and functional connectivity changes in deep cortical regions in humans. Nat Commun 2023; 14:5318. [PMID: 37658076 PMCID: PMC10474159 DOI: 10.1038/s41467-023-40998-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 08/17/2023] [Indexed: 09/03/2023] Open
Abstract
Low-intensity transcranial ultrasound stimulation (TUS) is an emerging non-invasive technique for focally modulating human brain function. The mechanisms and neurochemical substrates underlying TUS neuromodulation in humans and how these relate to excitation and inhibition are still poorly understood. In 24 healthy controls, we separately stimulated two deep cortical regions and investigated the effects of theta-burst TUS, a protocol shown to increase corticospinal excitability, on the inhibitory neurotransmitter gamma-aminobutyric acid (GABA) and functional connectivity. We show that theta-burst TUS in humans selectively reduces GABA levels in the posterior cingulate, but not the dorsal anterior cingulate cortex. Functional connectivity increased following TUS in both regions. Our findings suggest that TUS changes overall excitability by reducing GABAergic inhibition and that changes in TUS-mediated neuroplasticity last at least 50 mins after stimulation. The difference in TUS effects on the posterior and anterior cingulate could suggest state- or location-dependency of the TUS effect-both mechanisms increasingly recognized to influence the brain's response to neuromodulation.
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Affiliation(s)
- Siti N Yaakub
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, UK
- Brain Research and Imaging Centre, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Tristan A White
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, UK
- Brain Research and Imaging Centre, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Jamie Roberts
- Department of Clinical Measurement and Innovation, University Hospitals Plymouth NHS Trust, Plymouth, UK
| | - Eleanor Martin
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK
| | - Lennart Verhagen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands
| | - Charlotte J Stagg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- MRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK
| | - Stephen Hall
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, UK
- Brain Research and Imaging Centre, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Elsa F Fouragnan
- School of Psychology, Faculty of Health, University of Plymouth, Plymouth, UK.
- Brain Research and Imaging Centre, Faculty of Health, University of Plymouth, Plymouth, UK.
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Branzoli F, Liserre R, Deelchand DK, Poliani PL, Bielle F, Nichelli L, Sanson M, Lehéricy S, Marjańska M. Neurochemical Differences between 1p/19q Codeleted and Noncodeleted IDH-mutant Gliomas by in Vivo MR Spectroscopy. Radiology 2023; 308:e223255. [PMID: 37668523 PMCID: PMC10546286 DOI: 10.1148/radiol.223255] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 06/19/2023] [Accepted: 06/29/2023] [Indexed: 09/06/2023]
Abstract
Background Noninvasive identification of glioma subtypes is important for optimizing treatment strategies. Purpose To compare the in vivo neurochemical profiles between isocitrate dehydrogenase (IDH) 1-mutant 1p/19q codeleted gliomas and their noncodeleted counterparts measured by MR spectroscopy at 3.0 T with a point-resolved spectroscopy (PRESS) sequence optimized for D-2-hydroxyglutarate (2HG) detection. Materials and Methods Adults with IDH1-mutant gliomas were retrospectively included for this study from two university hospitals (inclusion period: January 2015 to July 2016 and September 2019 to June 2021, respectively) based on availability of 1p/19q codeletion status and a PRESS acquisition optimized for 2HG detection (echo time, 97 msec) at 3.0 T before any treatment. Spectral analysis was performed using LCModel and a simulated basis set. Metabolite quantification was performed using the water signal as a reference and correcting for water and metabolite longitudinal and transverse relaxation time constants. Concentration ratios were computed using total creatine (tCr) and total choline. A two-tailed unpaired t test was used to compare metabolite concentrations obtained in codeleted versus noncodeleted gliomas, accounting for multiple comparisons. Results Thirty-one adults (mean age, 39 years ± 8 [SD]; 19 male) were included, and 19 metabolites were quantified. Cystathionine concentration was higher in codeleted (n = 13) than noncodeleted (n = 18) gliomas when quantification was performed using the water signal or tCr as references (2.33 mM ± 0.98 vs 0.93 mM ± 0.94, and 0.34 mM ± 0.14 vs 0.14 mM ± 0.14, respectively; both P < .001). The sensitivity and specificity of PRESS to detect codeletion by means of cystathionine quantification were 92% and 61%, respectively. Other metabolites did not show evidence of a difference between groups (P > .05). Conclusion Higher cystathionine levels were detected in IDH1-mutant 1p/19q codeleted gliomas than in their noncodeleted counterparts with use of a PRESS sequence optimized for 2HG detection. Of 19 metabolites quantified, only cystathionine showed evidence of a difference in concentration between groups. Clinical trial registry no. NCT01703962 © RSNA, 2023 See also the editorial by Lin in this issue.
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Affiliation(s)
- Francesca Branzoli
- From the Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris Brain Institute–L’Institut du Cerveau et de la Moelle Épinière (ICM), 47 boulevard de l’Hôpital, 75013 Paris, France (F. Branzoli, L.N., M.S., S.L.); Center for Neuroimaging Research (CENIR), L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (F. Branzoli, S.L.); Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy (R.L.); Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn (D.K.D., M.M.); Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy (P.L.P.); Laboratory R Escourolle (F. Bielle), Department of Neuroradiology (L.N., S.L.), and Department of Neurology 2 (M.S.), University Hospital La Pitié-Salpêtrière-Charles Foix, AP-HP, Paris, France; and Onconeurotek Tumor Bank, L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (M.S.)
| | - Roberto Liserre
- From the Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris Brain Institute–L’Institut du Cerveau et de la Moelle Épinière (ICM), 47 boulevard de l’Hôpital, 75013 Paris, France (F. Branzoli, L.N., M.S., S.L.); Center for Neuroimaging Research (CENIR), L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (F. Branzoli, S.L.); Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy (R.L.); Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn (D.K.D., M.M.); Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy (P.L.P.); Laboratory R Escourolle (F. Bielle), Department of Neuroradiology (L.N., S.L.), and Department of Neurology 2 (M.S.), University Hospital La Pitié-Salpêtrière-Charles Foix, AP-HP, Paris, France; and Onconeurotek Tumor Bank, L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (M.S.)
| | - Dinesh K. Deelchand
- From the Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris Brain Institute–L’Institut du Cerveau et de la Moelle Épinière (ICM), 47 boulevard de l’Hôpital, 75013 Paris, France (F. Branzoli, L.N., M.S., S.L.); Center for Neuroimaging Research (CENIR), L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (F. Branzoli, S.L.); Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy (R.L.); Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn (D.K.D., M.M.); Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy (P.L.P.); Laboratory R Escourolle (F. Bielle), Department of Neuroradiology (L.N., S.L.), and Department of Neurology 2 (M.S.), University Hospital La Pitié-Salpêtrière-Charles Foix, AP-HP, Paris, France; and Onconeurotek Tumor Bank, L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (M.S.)
| | - Pietro Luigi Poliani
- From the Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris Brain Institute–L’Institut du Cerveau et de la Moelle Épinière (ICM), 47 boulevard de l’Hôpital, 75013 Paris, France (F. Branzoli, L.N., M.S., S.L.); Center for Neuroimaging Research (CENIR), L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (F. Branzoli, S.L.); Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy (R.L.); Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn (D.K.D., M.M.); Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy (P.L.P.); Laboratory R Escourolle (F. Bielle), Department of Neuroradiology (L.N., S.L.), and Department of Neurology 2 (M.S.), University Hospital La Pitié-Salpêtrière-Charles Foix, AP-HP, Paris, France; and Onconeurotek Tumor Bank, L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (M.S.)
| | - Franck Bielle
- From the Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris Brain Institute–L’Institut du Cerveau et de la Moelle Épinière (ICM), 47 boulevard de l’Hôpital, 75013 Paris, France (F. Branzoli, L.N., M.S., S.L.); Center for Neuroimaging Research (CENIR), L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (F. Branzoli, S.L.); Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy (R.L.); Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn (D.K.D., M.M.); Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy (P.L.P.); Laboratory R Escourolle (F. Bielle), Department of Neuroradiology (L.N., S.L.), and Department of Neurology 2 (M.S.), University Hospital La Pitié-Salpêtrière-Charles Foix, AP-HP, Paris, France; and Onconeurotek Tumor Bank, L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (M.S.)
| | - Lucia Nichelli
- From the Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris Brain Institute–L’Institut du Cerveau et de la Moelle Épinière (ICM), 47 boulevard de l’Hôpital, 75013 Paris, France (F. Branzoli, L.N., M.S., S.L.); Center for Neuroimaging Research (CENIR), L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (F. Branzoli, S.L.); Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy (R.L.); Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn (D.K.D., M.M.); Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy (P.L.P.); Laboratory R Escourolle (F. Bielle), Department of Neuroradiology (L.N., S.L.), and Department of Neurology 2 (M.S.), University Hospital La Pitié-Salpêtrière-Charles Foix, AP-HP, Paris, France; and Onconeurotek Tumor Bank, L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (M.S.)
| | - Marc Sanson
- From the Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris Brain Institute–L’Institut du Cerveau et de la Moelle Épinière (ICM), 47 boulevard de l’Hôpital, 75013 Paris, France (F. Branzoli, L.N., M.S., S.L.); Center for Neuroimaging Research (CENIR), L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (F. Branzoli, S.L.); Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy (R.L.); Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn (D.K.D., M.M.); Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy (P.L.P.); Laboratory R Escourolle (F. Bielle), Department of Neuroradiology (L.N., S.L.), and Department of Neurology 2 (M.S.), University Hospital La Pitié-Salpêtrière-Charles Foix, AP-HP, Paris, France; and Onconeurotek Tumor Bank, L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (M.S.)
| | - Stéphane Lehéricy
- From the Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris Brain Institute–L’Institut du Cerveau et de la Moelle Épinière (ICM), 47 boulevard de l’Hôpital, 75013 Paris, France (F. Branzoli, L.N., M.S., S.L.); Center for Neuroimaging Research (CENIR), L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (F. Branzoli, S.L.); Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy (R.L.); Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn (D.K.D., M.M.); Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy (P.L.P.); Laboratory R Escourolle (F. Bielle), Department of Neuroradiology (L.N., S.L.), and Department of Neurology 2 (M.S.), University Hospital La Pitié-Salpêtrière-Charles Foix, AP-HP, Paris, France; and Onconeurotek Tumor Bank, L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (M.S.)
| | - Małgorzata Marjańska
- From the Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris Brain Institute–L’Institut du Cerveau et de la Moelle Épinière (ICM), 47 boulevard de l’Hôpital, 75013 Paris, France (F. Branzoli, L.N., M.S., S.L.); Center for Neuroimaging Research (CENIR), L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (F. Branzoli, S.L.); Department of Radiology, Neuroradiology Unit, ASST Spedali Civili University Hospital, Brescia, Italy (R.L.); Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minn (D.K.D., M.M.); Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy (P.L.P.); Laboratory R Escourolle (F. Bielle), Department of Neuroradiology (L.N., S.L.), and Department of Neurology 2 (M.S.), University Hospital La Pitié-Salpêtrière-Charles Foix, AP-HP, Paris, France; and Onconeurotek Tumor Bank, L’Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France (M.S.)
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Jones KT, Gallen CL, Ostrand AE, Rojas JC, Wais P, Rini J, Chan B, Lago AL, Boxer A, Zhao M, Gazzaley A, Zanto TP. Gamma neuromodulation improves episodic memory and its associated network in amnestic mild cognitive impairment: a pilot study. Neurobiol Aging 2023; 129:72-88. [PMID: 37276822 PMCID: PMC10583532 DOI: 10.1016/j.neurobiolaging.2023.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 04/10/2023] [Accepted: 04/17/2023] [Indexed: 06/07/2023]
Abstract
Amnestic mild cognitive impairment (aMCI) is a predementia stage of Alzheimer's disease associated with dysfunctional episodic memory and limited treatment options. We aimed to characterize feasibility, clinical, and biomarker effects of noninvasive neurostimulation for aMCI. 13 individuals with aMCI received eight 60-minute sessions of 40-Hz (gamma) transcranial alternating current stimulation (tACS) targeting regions related to episodic memory processing. Feasibility, episodic memory, and plasma Alzheimer's disease biomarkers were assessed. Neuroplastic changes were characterized by resting-state functional connectivity (RSFC) and neuronal excitatory/inhibitory balance. Gamma tACS was feasible and aMCI participants demonstrated improvement in multiple metrics of episodic memory, but no changes in biomarkers. Improvements in episodic memory were most pronounced in participants who had the highest modeled tACS-induced electric fields and exhibited the greatest changes in RSFC. Increased RSFC was also associated with greater hippocampal excitability and higher baseline white matter integrity. This study highlights initial feasibility and the potential of gamma tACS to rescue episodic memory in an aMCI population by modulating connectivity and excitability within an episodic memory network.
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Affiliation(s)
- Kevin T Jones
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA.
| | - Courtney L Gallen
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA
| | - Avery E Ostrand
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA
| | - Julio C Rojas
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Weill Institute for Neurosciences, Memory and Aging Center, University of California-San Francisco, San Francisco, CA
| | - Peter Wais
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA
| | - James Rini
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA
| | - Brandon Chan
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Weill Institute for Neurosciences, Memory and Aging Center, University of California-San Francisco, San Francisco, CA
| | - Argentina Lario Lago
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Weill Institute for Neurosciences, Memory and Aging Center, University of California-San Francisco, San Francisco, CA
| | - Adam Boxer
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Weill Institute for Neurosciences, Memory and Aging Center, University of California-San Francisco, San Francisco, CA
| | - Min Zhao
- Departments of Ophthalmology and Vision Science and Dermatology, Institute for Regenerative Cures, University of California-Davis, Davis, CA
| | - Adam Gazzaley
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA; Departments of Physiology and Psychiatry, University of California-San Francisco, San Francisco, CA
| | - Theodore P Zanto
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA.
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Min SH, Wang Z, Chen MT, Hu R, Gong L, He Z, Wang X, Hess RF, Zhou J. Metaplasticity: Dark exposure boosts local excitability and visual plasticity in adult human cortex. J Physiol 2023; 601:4105-4120. [PMID: 37573529 DOI: 10.1113/jp284040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 07/25/2023] [Indexed: 08/15/2023] Open
Abstract
An interlude of dark exposure for about 1 week is known to shift excitatory/inhibitory (E/I) balance of the mammalian visual cortex, promoting plasticity and accelerating visual recovery in animals that have experienced cortical lesions during development. However, the translational impact of our understanding of dark exposure from animal studies to humans remains elusive. Here, we used magnetic resonance spectroscopy as a probe for E/I balance in the primary visual cortex (V1) to determine the effect of 60 min of dark exposure, and measured binocular combination as a behavioural assay to assess visual plasticity in 14 normally sighted human adults. To induce neuroplastic changes in the observers, we introduced 60 min of monocular deprivation, which is known to temporarily shift sensory eye balance in favour of the previously deprived eye. We report that prior dark exposure for 60 min strengthens local excitability in V1 and boosts visual plasticity in normal adults. However, we show that it does not promote plasticity in amblyopic adults. Nevertheless, our findings are surprising, given the fact that the interlude is very brief. Interestingly, we find that the increased concentration of the excitatory neurotransmitter is not strongly correlated with the enhanced functional plasticity. Instead, the absolute degree of change in its concentration is related to the boost, suggesting that the dichotomy of cortical excitation and inhibition might not explain the physiological basis of plasticity in humans. We present the first evidence that an environmental manipulation that shifts cortical E/I balance can also act as a metaplastic facilitator for visual plasticity in humans. KEY POINTS: A brief interlude (60 min) of dark exposure increased the local concentration of glutamine/glutamate but not that of GABA in the visual cortex of adult humans. After dark exposure, the degree of the shift in sensory eye dominance in favour of the previously deprived eye from short-term monocular deprivation was larger than that from only monocular deprivation. The neurochemical and behavioural measures were associated: the magnitude of the shift in the concentration of glutamine/glutamate was correlated with the boost in perceptual plasticity after dark exposure. Surprisingly, the increase in the concentration of glutamine/glutamate was not correlated with the perceptual boost after dark exposure, suggesting that the physiological mechanism of how E/I balance regulates plasticity is not deterministic. In other words, an increased excitation did not unilaterally promote plasticity.
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Affiliation(s)
- Seung Hyun Min
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Zili Wang
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Meng Ting Chen
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Rongjie Hu
- Center for Biomedical Imaging, University of Science and Technology of China, Anhui, China
| | - Ling Gong
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Zhifen He
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xiaoxiao Wang
- Center for Biomedical Imaging, University of Science and Technology of China, Anhui, China
| | - Robert F Hess
- McGill Vision Research, Department of Ophthalmology and Visual Sciences, McGill University, Montreal, Canada
| | - Jiawei Zhou
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China
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Gudmundson AT, Davies-Jenkins CW, Özdemir İ, Murali-Manohar S, Zöllner HJ, Song Y, Hupfeld KE, Schnitzler A, Oeltzschner G, Stark CEL, Edden RAE. Application of a 1H Brain MRS Benchmark Dataset to Deep Learning for Out-of-Voxel Artifacts. bioRxiv 2023:2023.05.08.539813. [PMID: 37215030 PMCID: PMC10197548 DOI: 10.1101/2023.05.08.539813] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Neural networks are potentially valuable for many of the challenges associated with MRS data. The purpose of this manuscript is to describe the AGNOSTIC dataset, which contains 259,200 synthetic 1H MRS examples for training and testing neural networks. AGNOSTIC was created using 270 basis sets that were simulated across 18 field strengths and 15 echo times. The synthetic examples were produced to resemble in vivo brain data with combinations of metabolite, macromolecule, residual water signals, and noise. To demonstrate the utility, we apply AGNOSTIC to train two Convolutional Neural Networks (CNNs) to address out-of-voxel (OOV) echoes. A Detection Network was trained to identify the point-wise presence of OOV echoes, providing proof of concept for real-time detection. A Prediction Network was trained to reconstruct OOV echoes, allowing subtraction during post-processing. Complex OOV signals were mixed into 85% of synthetic examples to train two separate CNNs for the detection and prediction of OOV signals. AGNOSTIC is available through Dryad and all Python 3 code is available through GitHub. The Detection network was shown to perform well, identifying 95% of OOV echoes. Traditional modeling of these detected OOV signals was evaluated and may prove to be an effective method during linear-combination modeling. The Prediction Network greatly reduces OOV echoes within FIDs and achieved a median log10 normed-MSE of -1.79, an improvement of almost two orders of magnitude.
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Affiliation(s)
- Aaron T. Gudmundson
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
| | - Christopher W. Davies-Jenkins
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
| | - İpek Özdemir
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
| | - Saipavitra Murali-Manohar
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
| | - Helge J. Zöllner
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
| | - Yulu Song
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
| | - Kathleen E. Hupfeld
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
| | - Alfons Schnitzler
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
| | - Craig E. L. Stark
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - Richard A. E. Edden
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
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Robison RK, Haynes JR, Ganji SK, Nockowski CP, Kovacs Z, Pham W, Morgan VL, Smith SA, Thompson RC, Omary RA, Gore JC, Choi C. J-Difference editing (MEGA) of lactate in the human brain at 3T. Magn Reson Med 2023; 90:852-862. [PMID: 37154389 PMCID: PMC10901256 DOI: 10.1002/mrm.29693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 04/18/2023] [Accepted: 04/18/2023] [Indexed: 05/10/2023]
Abstract
PURPOSE The need to detect and quantify brain lactate accurately by MRS has stimulated the development of editing sequences based on J coupling effects. In J-difference editing of lactate, threonine can be co-edited and it contaminates lactate estimates due to the spectral proximity of the coupling partners of their methyl protons. We therefore implemented narrow-band editing 180° pulses (E180) in MEGA-PRESS acquisitions to resolve separately the 1.3-ppm resonances of lactate and threonine. METHODS Two 45.3-ms rectangular E180 pulses, which had negligible effects 0.15-ppm away from the carrier frequency, were implemented in a MEGA-PRESS sequence with TE 139 ms. Three acquisitions were designed to selectively edit lactate and threonine, in which the E180 pulses were tuned to 4.1 ppm, 4.25 ppm, and a frequency far off resonance. Editing performance was validated with numerical analyses and acquisitions from phantoms. The narrow-band E180 MEGA and another MEGA-PRESS sequence with broad-band E180 pulses were evaluated in six healthy subjects. RESULTS The 45.3-ms E180 MEGA offered a difference-edited lactate signal with lower intensity and reduced contamination from threonine compared to the broad-band E180 MEGA. The 45.3 ms E180 pulse had MEGA editing effects over a frequency range larger than seen in the singlet-resonance inversion profile. Lactate and threonine in healthy brain were both estimated to be 0.4 ± 0.1 mM, with reference to N-acetylaspartate at 12 mM. CONCLUSION Narrow-band E180 MEGA editing minimizes threonine contamination of lactate spectra and may improve the ability to detect modest changes in lactate levels.
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Affiliation(s)
- Ryan K Robison
- Philips, Nashville, Tennessee, USA
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Justin R Haynes
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sandeep K Ganji
- Philips, Rochester, Minnesota, USA
- Mayo Clinic, Rochester, Minnesota, USA
| | - Charles P Nockowski
- Philips, Nashville, Tennessee, USA
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Zoltan Kovacs
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Wellington Pham
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Victoria L Morgan
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Reid C Thompson
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Reed A Omary
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John C Gore
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee, USA
| | - Changho Choi
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Liu H, Autry AW, Larson PEZ, Xu D, Li Y. Atlas-Based Adaptive Hadamard-Encoded MR Spectroscopic Imaging at 3T. Tomography 2023; 9:1592-1602. [PMID: 37736980 PMCID: PMC10514830 DOI: 10.3390/tomography9050127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/17/2023] [Accepted: 08/22/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND This study aimed to develop a time-efficient method of acquiring simultaneous, dual-slice MR spectroscopic imaging (MRSI) for the evaluation of brain metabolism. METHODS Adaptive Hadamard-encoded pulses were developed and integrated with atlas-based automatic prescription. The excitation profiles were evaluated via simulation, phantom and volunteer experiments. The feasibility of γ-aminobutyric acid (GABA)-edited dual-slice MRSI was also assessed. RESULTS The signal between slices in the dual-band MRSI was less than 1% of the slice profiles. Data from a homemade phantom containing separate, interfacing compartments of creatine and acetate solutions demonstrated ~0.4% acetate signal contamination relative to the amplitude in the excited creatine compartment. The normalized signal-to-noise ratios from atlas-based acquisitions in volunteers were found to be comparable between dual-slice, Hadamard-encoded MRSI and 3D acquisitions. The mean and standard deviation of the coefficients of variation for NAA/Cho from the repeated volunteer scans were 8.2% ± 0.8% and 10.1% ± 3.7% in the top and bottom slices, respectively. GABA-edited, dual-slice MRSI demonstrated simultaneous detection of signals from GABA and coedited macromolecules (GABA+) from both superior grey and deep grey regions of volunteers. CONCLUSION This study demonstrated a fully automated dual-slice MRSI acquisition using atlas-based automatic prescription and adaptive Hadamard-encoded pulses.
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Affiliation(s)
- Huawei Liu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94107, USA (A.W.A.); (P.E.Z.L.); (D.X.)
| | - Adam W. Autry
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94107, USA (A.W.A.); (P.E.Z.L.); (D.X.)
| | - Peder E. Z. Larson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94107, USA (A.W.A.); (P.E.Z.L.); (D.X.)
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA 94107, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94107, USA (A.W.A.); (P.E.Z.L.); (D.X.)
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA 94107, USA
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94107, USA (A.W.A.); (P.E.Z.L.); (D.X.)
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Liu CL, Cheng X, Choo BL, Hong M, Teo JL, Koo WL, Tan JYJ, Ubrani MB, Suckling J, Gulyás B, Leong V, Kourtzi Z, Sahakian B, Robbins T, Chen ASH. Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial. Trials 2023; 24:517. [PMID: 37568212 PMCID: PMC10422731 DOI: 10.1186/s13063-023-07551-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND Cognitive flexibility refers to the capacity to shift between conceptual representations particularly in response to changes in instruction and feedback. It enables individuals to swiftly adapt to changes in their environment and has significant implications for learning. The present study focuses on investigating changes in cognitive flexibility following an intervention programme-Structure Learning training. METHODS Participants are pseudo-randomised to either the Training or Control group, while matched on age, sex, intelligence and cognitive flexibility performance. In the Training group, participants undergo around 2 weeks of training (at least 13 sessions) on Structure Learning. In the Control group, participants do not have to undergo any training and are never exposed to the Structure Learning task. The effects of Structure Learning training are investigated at both the behavioural and neural level. We measured covariates that can influence an individual's training performance before the training phase and outcome measures that can potentially show training benefits after the training phase. At the behavioural level, we investigated outcomes in both cognitive and social aspects with a primary focus on executive functions. At the neural level, we employed a multimodality approach and investigated potential changes to functional connectivity patterns, neurometabolite concentration in the frontal brain regions, and brain microstructure and myelination. DISCUSSION We reported the development of a novel training programme based on Structure Learning that aims to hone a general learning ability to potentially achieve extensive transfer benefits across various cognitive constructs. Potential transfer benefits can be exhibited through better performance in outcome measures between Training and Control participants, and positive associations between training performance and outcomes after the training in Training participants. Moreover, we attempt to substantiate behavioural findings with evidence of neural changes across different imaging modalities by the Structure Learning training. TRIAL REGISTRATION National Institutes of Health U.S. National Library of Medicine ClinicalTrials.gov NCT05611788. Registered on 7 November 2022. PROTOCOL VERSION 11 May 2023.
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Affiliation(s)
- Chia-Lun Liu
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore.
| | - Xiaoqin Cheng
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore
- Department of Psychology, University of Innsbruck, Innsbruck, Austria
| | - Boon Linn Choo
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore
| | - Min Hong
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore
| | - Jia Li Teo
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore
- School of Social Sciences, Nanyang Technological University, Singapore, Singapore
| | - Wei Ler Koo
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore
| | - Jia Yuan Janet Tan
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore
| | - Marisha Barth Ubrani
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Balázs Gulyás
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Victoria Leong
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore
- School of Social Sciences, Nanyang Technological University, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Zoe Kourtzi
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Barbara Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Trevor Robbins
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Annabel Shen-Hsing Chen
- Centre for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore, Singapore
- School of Social Sciences, Nanyang Technological University, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- National Institute of Education, Nanyang Technological University, Singapore, Singapore
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Fu X, Qin M, Liu X, Cheng L, Zhang L, Zhang X, Lei Y, Zhou Q, Sun P, Lin L, Su Y, Wang J. Decreased GABA levels of the anterior and posterior cingulate cortex are associated with executive dysfunction in mild cognitive impairment. Front Neurosci 2023; 17:1220122. [PMID: 37638325 PMCID: PMC10450953 DOI: 10.3389/fnins.2023.1220122] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/31/2023] [Indexed: 08/29/2023] Open
Abstract
Background and purpose Executive function impairment, a slight but noticeable cognitive deficit in mild cognitive impairment (MCI) patients, is influenced by gamma-aminobutyric acid (GABA) levels. Reduced cognitive function is accompanied by thinning of the cerebral cortex, which has higher GABA levels than white matter. However, the relationships among GABA levels, cortical thickness, and executive function in MCI patients have not yet been elucidated. We investigated the relationships among GABA levels, cortical thickness, and executive function in MCI patients. Methods In this study, a total of 36 MCI patients and 36 sex-, age-, and education-matched healthy controls (HC) were recruited. But 33 MCI patients and 35 HC were included because of head motion or poor data quality for three MCI patients and one HC. The levels of gamma-aminobutyric acid plus relative to creatine (GABA+/Cr) and glutamate-glutamine relative to creatine (Glx/Cr) in the anterior cingulate cortex (ACC) and posterior cingulate cortex (PCC) were measured using the Meshcher-Garwood point resolved spectroscopy (MEGA-PRESS) sequence. Metabolite ratios, cortical thickness, and executive function and their interrelationships were determined in the MCI and HC groups. Results Patients with MCI showed lower GABA+/Cr levels in the ACC and PCC. Combined levels of GABA+ and Glx in the ACC and GABA+ in the PCC showed good diagnostic efficacy for MCI (AUC: 0.82). But no differences in cortical thickness were found between the two groups. In the MCI group, lower GABA+/Cr level was correlated to worse performance on the digit span test backward, and the shape trail test-B. The cortical thickness was not associated with GABA+ levels and executive function in patients. Conclusion These results implied that decreased GABA levels in the ACC and PCC had a critical role in the early diagnosis of impaired executive function of MCI. Therefore, GABA in the ACC and PCC could be a potential diagnostic marker of the executive function decline of MCI.
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Affiliation(s)
- Xiaona Fu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Mengting Qin
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoming Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Lan Cheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Lan Zhang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xinli Zhang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yu Lei
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Qidong Zhou
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng Sun
- Clinical & Technical Solutions, Philips Healthcare, Beijing, China
| | - Liangjie Lin
- Clinical & Technical Solutions, Philips Healthcare, Beijing, China
| | - Ying Su
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
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Koolschijn RS, Clarke WT, Ip IB, Emir UE, Barron HC. Event-related functional magnetic resonance spectroscopy. Neuroimage 2023; 276:120194. [PMID: 37244321 PMCID: PMC7614684 DOI: 10.1016/j.neuroimage.2023.120194] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/24/2023] [Indexed: 05/29/2023] Open
Abstract
Proton-Magnetic Resonance Spectroscopy (MRS) is a non-invasive brain imaging technique used to measure the concentration of different neurochemicals. "Single-voxel" MRS data is typically acquired across several minutes, before individual transients are averaged through time to give a measurement of neurochemical concentrations. However, this approach is not sensitive to more rapid temporal dynamics of neurochemicals, including those that reflect functional changes in neural computation relevant to perception, cognition, motor control and ultimately behaviour. In this review we discuss recent advances in functional MRS (fMRS) that now allow us to obtain event-related measures of neurochemicals. Event-related fMRS involves presenting different experimental conditions as a series of trials that are intermixed. Critically, this approach allows spectra to be acquired at a time resolution in the order of seconds. Here we provide a comprehensive user guide for event-related task designs, choice of MRS sequence, analysis pipelines, and appropriate interpretation of event-related fMRS data. We raise various technical considerations by examining protocols used to quantify dynamic changes in GABA, the primary inhibitory neurotransmitter in the brain. Overall, we propose that although more data is needed, event-related fMRS can be used to measure dynamic changes in neurochemicals at a temporal resolution relevant to computations that support human cognition and behaviour.
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Affiliation(s)
- Renée S Koolschijn
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, FMRIB, John Radcliffe Hospital, Oxford, United Kingdom; Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands.
| | - William T Clarke
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, FMRIB, John Radcliffe Hospital, Oxford, United Kingdom; Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom
| | - I Betina Ip
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, FMRIB, John Radcliffe Hospital, Oxford, United Kingdom
| | - Uzay E Emir
- School of Health Sciences, Purdue University, West Lafayette, United States
| | - Helen C Barron
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, FMRIB, John Radcliffe Hospital, Oxford, United Kingdom; Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom.
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Okada T, Kuribayashi H, Urushibata Y, Fujimoto K, Akasaka T, Seethamraju RT, Ahn S, Isa T. GABA, glutamate and excitatory-inhibitory ratios measured using short-TE STEAM MRS at 7-Tesla: Effects of macromolecule basis sets and baseline parameters. Heliyon 2023; 9:e18357. [PMID: 37539101 PMCID: PMC10393741 DOI: 10.1016/j.heliyon.2023.e18357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 07/10/2023] [Accepted: 07/14/2023] [Indexed: 08/05/2023] Open
Abstract
Rationale and objectives Macromolecules (MMs) affect the precision and accuracy of neurochemical quantification in magnetic resonance spectroscopy. A measured MM basis is increasingly used in LCModel analysis combined with a spline baseline, whose stiffness is controlled by a parameter named DKNTMN. The effects of measured MM basis and DKNTMN were investigated. Materials and methods Twenty-six healthy subjects were prospectively enrolled and scanned twice using a short echo-time Stimulated Echo Acquisition Mode (STEAM) at 7-T. Using LCModel, analyses were conducted using the simulated MM basis (MMsim) with DKNTMN 0.15 and an MM basis measured inhouse (MMmeas) with DKNTMN of 0.15, 0.30, 0.60 and 1.00. Cramér-Rao lower bound (CRLB) and the concentrations of gamma-aminobutyric acid (GABA), glutamate and excitatory-inhibitory ratio (EIR), in addition to MMs were statistically analyzed. Measurement stability was evaluated using coefficient of variation (CV). Results CRLBs of GABA were significantly lower when using MMsim than MMmeas; those of glutamate were 2-3. GABA concentrations were significantly higher in the analysis using MMsim than MMmeas where concentrations were significantly higher with DKNTMN of 0.15 or 0.30 than 0.60 or 1.00. Difference in glutamate concentration was not significant. EIRs showed the same difference as in GABA depending on the DKNTMN values. CVs between test-retest scans were relatively stable for glutamate but became larger as DKNTMN increased for GABA and EIR. Conclusion Neurochemical quantification depends on the parameters of the basis sets used for fitting. Analysis using MMmeas with DKNTMN of 0.30 conformed best to previous studies and is recommended.
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Affiliation(s)
| | | | | | - Koji Fujimoto
- Human Brain Research Center, Tokyo, Japan
- Department of Real World Data Research and Development, Graduate School of Medicine, Kyoto University, Japan
| | | | | | - Sinyeob Ahn
- Siemens Medical Solutions, Berkeley, California, USA
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50
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Cohen JE, Holsen LM, Ironside M, Moser AD, Duda JM, Null KE, Perlo S, Richards CE, Nascimento NF, Du F, Zuo C, Misra M, Pizzagalli DA, Goldstein JM. Neural response to stress differs by sex in young adulthood. Psychiatry Res Neuroimaging 2023; 332:111646. [PMID: 37146439 PMCID: PMC10247431 DOI: 10.1016/j.pscychresns.2023.111646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/26/2023] [Accepted: 04/17/2023] [Indexed: 05/07/2023]
Abstract
Increase in stress-related disorders in women begins post-puberty and persists throughout the lifespan. To characterize sex differences in stress response in early adulthood, we used functional magnetic resonance imaging while participants underwent a stress task in conjunction with serum cortisol levels and questionnaires assessing anxiety and mood. Forty-two healthy subjects aged 18-25 years participated (21M, 21F). Interaction of stress and sex in brain activation and connectivity were examined. Results demonstrated significant sex differences in brain activity with women exhibiting increased activation in regions that inhibit arousal compared to men during the stress paradigm. Women had increased connectivity among stress circuitry regions and default mode network, whereas men had increased connectivity between stress and cognitive control regions. In a subset of subjects (13F, 17M), we obtained gamma-aminobutyric acid (GABA) magnetic resonance spectroscopy in rostral anterior cingulate cortex (rostral ACC) and dorsolateral prefrotal cortex (dlPFC) and conducted exploratory analyses to relate GABA measurements with sex differences in brain activation and connectivity. Prefrontal GABA levels were negatively associated with inferior temporal gyrus activation in men and women and with ventromedial prefrontal cortex activation in men. Despite sex differences in neural response, we found similar subjective ratings of anxiety and mood, cortisol levels, and GABA levels between sexes, suggesting sex differences in brain activity result in similar behavioral responses among the sexes. These results help establish sex differences in healthy brain activity from which we can better understand sex differences underlying stress-associated illnesses.
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Affiliation(s)
- Justine E Cohen
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Boston, USA
| | - Laura M Holsen
- Divison of Women's Health, Department of Medicine, Brigham & Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Brigham & Women's Hospital, Boston, MA, USA
| | - Maria Ironside
- Harvard Medical School, Boston, MA, USA; Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Amelia D Moser
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Jessica M Duda
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Kaylee E Null
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Sarah Perlo
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Christine E Richards
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Nara F Nascimento
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Fei Du
- Harvard Medical School, Boston, MA, USA; McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Chun Zuo
- Harvard Medical School, Boston, MA, USA; McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Madhusmita Misra
- Harvard Medical School, Boston, MA, USA; Division of Pediatric Endocrinology, Massachusetts General Hospital, Boston, MA, USA
| | - Diego A Pizzagalli
- Harvard Medical School, Boston, MA, USA; Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA; McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Jill M Goldstein
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Boston, USA; Divison of Women's Health, Department of Medicine, Brigham & Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
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