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Maximo JO, Briend F, Armstrong WP, Kraguljac NV, Lahti AC. Higher-order functional brain networks and anterior cingulate glutamate + glutamine (Glx) in antipsychotic-naïve first episode psychosis patients. Transl Psychiatry 2024; 14:183. [PMID: 38600117 PMCID: PMC11006887 DOI: 10.1038/s41398-024-02854-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 02/07/2024] [Accepted: 02/26/2024] [Indexed: 04/12/2024] Open
Abstract
Human connectome studies have provided abundant data consistent with the hypothesis that functional dysconnectivity is predominant in psychosis spectrum disorders. Converging lines of evidence also suggest an interaction between dorsal anterior cingulate cortex (dACC) cortical glutamate with higher-order functional brain networks (FC) such as the default mode (DMN), dorsal attention (DAN), and executive control networks (ECN) in healthy controls (HC) and this mechanism may be impaired in psychosis. Data from 70 antipsychotic-medication naïve first-episode psychosis (FEP) and 52 HC were analyzed. 3T Proton magnetic resonance spectroscopy (1H-MRS) data were acquired from a voxel in the dACC and assessed correlations (positive FC) and anticorrelations (negative FC) of the DMN, DAN, and ECN. We then performed regressions to assess associations between glutamate + glutamine (Glx) with positive and negative FC of these same networks and compared them between groups. We found alterations in positive and negative FC in all networks (HC > FEP). A relationship between dACC Glx and positive and negative FC was found in both groups, but when comparing these relationships between groups, we found contrasting associations between these variables in FEP patients compared to HC. We demonstrated that both positive and negative FC in three higher-order resting state networks are already altered in antipsychotic-naïve FEP, underscoring the importance of also considering anticorrelations for optimal characterization of large-scale functional brain networks as these represent biological processes as well. Our data also adds to the growing body of evidence supporting the role of dACC cortical Glx as a mechanism underlying alterations in functional brain network connectivity. Overall, the implications for these findings are imperative as this particular mechanism may differ in untreated or chronic psychotic patients; therefore, understanding this mechanism prior to treatment could better inform clinicians.Clinical trial registration: Trajectories of Treatment Response as Window into the Heterogeneity of Psychosis: A Longitudinal Multimodal Imaging Study, NCT03442101 . Glutamate, Brain Connectivity and Duration of Untreated Psychosis (DUP), NCT02034253 .
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Affiliation(s)
- Jose O Maximo
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Frederic Briend
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
- UMR1253, iBrain, Université de Tours, Inserm, Tours, France
| | - William P Armstrong
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nina V Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Adrienne C Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA.
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Starčuková J, Stefan D, Graveron-Demilly D. Quantification of short echo time MRS signals with improved version of QUantitation based on quantum ESTimation algorithm. NMR IN BIOMEDICINE 2023; 36:e5008. [PMID: 37539457 DOI: 10.1002/nbm.5008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 06/27/2023] [Accepted: 06/28/2023] [Indexed: 08/05/2023]
Abstract
Magnetic resonance spectroscopy offers information about metabolite changes in the organism, which can be used in diagnosis. While short echo time proton spectra exhibit more distinguishable metabolites compared with proton spectra acquired with long echo times, their quantification (and providing estimates of metabolite concentrations) is more challenging. They are hampered by a background signal, which originates mainly from macromolecules (MM) and mobile lipids. An improved version of the quantification algorithm QUantitation based on quantum ESTimation (QUEST), with MM prior knowledge (QUEST-MM), dedicated to proton signals and invoking appropriate prior knowledge on MM, is proposed and tested. From a single acquisition, it enables better metabolite quantification, automatic estimation of the background, and additional automatic quantification of MM components, thus improving its applicability in the clinic. The proposed algorithm may facilitate studies that involve patients with pathological MM in the brain. QUEST-MM and three QUEST-based strategies for quantifying short echo time signals are compared in terms of bias-variance trade-off and Cramér-Rao lower bound estimates. The performances of the methods are evaluated through extensive Monte Carlo studies. In particular, the histograms of the metabolite and MM amplitude distributions demonstrate the performances of the estimators. They showed that QUEST-MM works better than QUEST (Subtract approach) and is a good alternative to QUEST when measured MM signal is unavailable or unsuitable. Quantification with QUEST-MM is shown for 1 H in vivo rat brain signals obtained with the SPECIAL pulse sequence at 9.4 T, and human brain signals obtained, respectively, with STEAM at 4 T and PRESS at 3 T. QUEST-MM is implemented in jMRUI and will be available for public use from version 7.1.
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Affiliation(s)
- Jana Starčuková
- Institute of Scientific Instruments of the CAS, Brno, Czech Republic
| | | | - Danielle Graveron-Demilly
- D1Si, Saint André de Corcy, France
- CREATIS, CNRS UMR 5220, INSERM U1294, Université Claude Bernard Lyon 1, Villeurbanne, France
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3
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Wu N, Yuan F, Yue S, Jiang F, Ren D, Liu L, Bi Y, Guo Z, Ji L, Han K, Yang X, Feng M, Su K, Yang F, Wu X, Lu Q, Li X, Wang R, Liu B, Le S, Shi Y, He G. Effect of exercise and diet intervention in NAFLD and NASH via GAB2 methylation. Cell Biosci 2021; 11:189. [PMID: 34736535 PMCID: PMC8569968 DOI: 10.1186/s13578-021-00701-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 10/25/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is a disorder that extends from simple hepatic steatosis to nonalcoholic steatohepatitis (NASH), which is effectively alleviated by lifestyle intervention. Nevertheless, DNA methylation mechanism underling the effect of environmental factors on NAFLD and NASH is still obscure. The aim of this study was to investigate the effect of exercise and diet intervention in NAFLD and NASH via DNA methylation of GAB2. METHODS Methylation of genomic DNA in human NAFLD was quantified using Infinium Methylation EPIC BeadChip assay after exercise (Ex), low carbohydrate diet (LCD) and exercise plus low carbohydrate diet (ELCD) intervention. The output Idat files were processed using ChAMP package. False discovery rate on genome-wide analysis of DNA methylation (q < 0.05), and cytosine-guanine dinucleotides (CpGs) which are located in promoters were used for subsequent analysis (|Δβ|≥ 0.1). K-means clustering was used to cluster differentially methylated genes according to 3D genome information from Human embryonic stem cell. To quantify DNA methylation and mRNA expression of GRB2 associated binding protein 2 (GAB2) in NASH mice after Ex, low fat diet (LFD) and exercise plus low fat diet (ELFD), MassARRAY EpiTYPER and quantitative reverse transcription polymerase chain reaction were used. RESULTS Both LCD and ELCD intervention on human NAFLD can induce same DNA methylation alterations at critical genes in blood, e.g., GAB2, which was also validated in liver and adipose of NASH mice after LFD and ELFD intervention. Moreover, methylation of CpG units (i.e., CpG_10.11.12) inversely correlated with mRNA expression GAB2 in adipose tissue of NASH mice after ELFD intervention. CONCLUSIONS We highlighted the susceptibility of DNA methylation in GAB2 to ELFD intervention, through which exercise and diet can protect against the progression of NAFLD and NASH on the genome level, and demonstrated that the DNA methylation variation in blood could mirror epigenetic signatures in target tissues of important biological function, i.e., liver and adipose tissue. Trial registration International Standard Randomized Controlled Trial Number Register (ISRCTN 42622771).
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Affiliation(s)
- Na Wu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Fan Yuan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Siran Yue
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Fengyan Jiang
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Decheng Ren
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Liangjie Liu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Bi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Zhenming Guo
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Lei Ji
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Ke Han
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Xiao Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Mofan Feng
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Kai Su
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Fengping Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Xi Wu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Lu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Xingwang Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Ruirui Wang
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Baocheng Liu
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shenglong Le
- Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Yi Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China. .,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.
| | - Guang He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China. .,Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.
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Maximo JO, Briend F, Armstrong WP, Kraguljac NV, Lahti AC. Salience network glutamate and brain connectivity in medication-naïve first episode patients - A multimodal magnetic resonance spectroscopy and resting state functional connectivity MRI study. Neuroimage Clin 2021; 32:102845. [PMID: 34662778 PMCID: PMC8526757 DOI: 10.1016/j.nicl.2021.102845] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 09/08/2021] [Accepted: 09/25/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Salience network (SN) connectivity is altered in schizophrenia, but the pathophysiological origin remains poorly understood. The goal of this multimodal neuroimaging study was to investigate the role of glutamatergic metabolism as putative mechanism underlying SN dysconnectivity in first episode psychosis (FEP) subjects. METHODS We measured glutamate + glutamine (Glx) in the dorsal anterior cingulate cortex (dACC) from 70 antipsychotic-naïve FEP subjects and 52 healthy controls (HC). The dACC was then used as seed to define positive and negative resting state functional connectivity (FC) of the SN. We used multiple regression analyses to test main effects and group interactions of Glx and FC associations. RESULTS dACC Glx levels did not differ between groups. Positive FC was significantly reduced in FEP compared to HC, and no group differences were found in negative FC. Group interactions of Glx-FC associations were found within the SN for positive FC, and in parietal cortices for negative FC. In HC, higher Glx levels predicted greater positive FC in the dACC and insula, and greater negative FC of the lateral parietal cortex. These relationships were weaker or absent in FEP. CONCLUSIONS Here, we found that positive FC in the SN is already altered in medication-naïve FEP, underscoring the importance of considering both correlations and anticorrelations for characterization of pathology. Our data demonstrate that Glx and functional connectivity work differently in FEP than in HC, pointing to a possible mechanism underlying dysconnectivity in psychosis.
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Affiliation(s)
- Jose O Maximo
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Frederic Briend
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA; UMR1253, iBrain, Université de Tours, Inserm, Tours, France
| | - William P Armstrong
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nina V Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Adrienne C Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA.
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Hippocampal glutamate and hippocampus subfield volumes in antipsychotic-naive first episode psychosis subjects and relationships to duration of untreated psychosis. Transl Psychiatry 2020; 10:137. [PMID: 32398671 PMCID: PMC7217844 DOI: 10.1038/s41398-020-0812-z] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 04/14/2020] [Accepted: 04/21/2020] [Indexed: 11/08/2022] Open
Abstract
Evidence points toward a relationship between longer duration of untreated psychosis (DUP) and worse long-term outcomes in patients with first episode psychosis (FEP), but the underlying neurobiology remains poorly understood. Proton magnetic resonance spectroscopy studies have reported altered hippocampus glutamatergic neurotransmission, and structural MRI as reported hippocampal atrophy that may be associated with memory impairment in schizophrenia. Here, we quantify left hippocampus glutamate (Glx) and left hippocampus subfield volumes in 54 antipsychotic-naive FEP and 41 healthy controls (HC), matched on age, sex, and parental occupation. While there were no significant group difference in Glx levels, hippocampal Glx levels were significantly higher in those who underwent a long DUP (>12 months) compared to those with a short DUP, and compared to HC. Compared to HC, FEP had significantly reduced whole hippocampus volume, as well as of CA1, CA4, granule cell layer, subiculum, and presubiculum subfields. Smaller whole hippocampal volume, as well as CA1, molecular layer, subiculum, presubiculum, and hippocampal tail volumes were significantly associated with longer DUP. However, we found no significant association between hippocampal Glx levels and hippocampal volume or subfields, suggesting that these alterations are not related, or their relationship does not follow a linear pattern. However, our results strongly suggest that one or several pathophysiological processes underlie the DUP. Importantly, our data highlight the critical need for reducing the DUP and for early pharmacological intervention with the hope to prevent structural deficits and, hopefully, improve clinical outcomes.
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Benzing V, Eggenberger N, Spitzhüttl J, Siegwart V, Pastore-Wapp M, Kiefer C, Slavova N, Grotzer M, Heinks T, Schmidt M, Conzelmann A, Steinlin M, Everts R, Leibundgut K. The Brainfit study: efficacy of cognitive training and exergaming in pediatric cancer survivors - a randomized controlled trial. BMC Cancer 2018; 18:18. [PMID: 29298678 PMCID: PMC5753470 DOI: 10.1186/s12885-017-3933-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 12/18/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Cancer survival comes at a price: pediatric cancer survivors bear a high risk for a wide range of cognitive difficulties. Therefore, interventions targeting these difficulties are required. The aim of the present clinical trial is to extend empirical evidence about efficacy of cognitive and physical training in pediatric cancer survivors. It is hypothesized that early cognitive and physical interventions affect the remediation of pediatric cancer survivors in terms of improved executive functions (primary outcome). Additional positive effects of cognitive and physical intervention to other areas such as memory and attention are expected (secondary outcome). Changes in cognitive performance are expected to be associated with structural and functional changes in the brain. METHODS Overall, 150 pediatric cancer survivors and 50 matched controls will be included in this trial. The cancer survivors will be randomly assigned to either a computerized cognitive training, a physical training (exergaming) or a waiting control group. They will be assessed with neuropsychological tests, tests of sport motor performance and physical fitness before and after 8 weeks of training and again at a 3-months follow-up. Moreover, neuroimaging will be performed at each of the three time points to investigate the training impact on brain structure and function. DISCUSSION With increasing cancer survival rates, evidence-based interventions are of particular importance. New insights into training-related plasticity in the developing brain will further help to develop tailored rehabilitation programs for pediatric cancer survivors. TRIAL REGISTRATION KEK BE 196/15; KEK ZH 2015-0397; ICTRP NCT02749877 ; date of registration: 30.11.2016; date of first participant enrolment: .18.01.2017.
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Affiliation(s)
- Valentin Benzing
- Institute of Sport Science, University of Bern, Bern, Switzerland
| | - Noëmi Eggenberger
- Division of Neuropaediatrics, Development and Rehabilitation, University Children’s Hospital Bern, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Janine Spitzhüttl
- Division of Neuropaediatrics, Development and Rehabilitation, University Children’s Hospital Bern, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Insitute of Psychology, University of Bern, Bern, Switzerland
| | - Valerie Siegwart
- Division of Neuropaediatrics, Development and Rehabilitation, University Children’s Hospital Bern, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Manuela Pastore-Wapp
- Division of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Claus Kiefer
- Division of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Nedelina Slavova
- Division of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Michael Grotzer
- Division of Pediatric Oncology, University Children’s Hospital Zurich, Zurich, Switzerland
| | - Theda Heinks
- Division of Neuropaediatrics, Development and Rehabilitation, University Children’s Hospital Bern, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Mirko Schmidt
- Institute of Sport Science, University of Bern, Bern, Switzerland
| | - Achim Conzelmann
- Institute of Sport Science, University of Bern, Bern, Switzerland
| | - Maja Steinlin
- Division of Neuropaediatrics, Development and Rehabilitation, University Children’s Hospital Bern, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Center for Cognition, Learning and Memory, CCLM, University of Bern, Bern, Switzerland
| | - Regula Everts
- Division of Neuropaediatrics, Development and Rehabilitation, University Children’s Hospital Bern, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Center for Cognition, Learning and Memory, CCLM, University of Bern, Bern, Switzerland
| | - Kurt Leibundgut
- Division of Pediatric Hematology and Oncology, University Children’s Hospital Bern, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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Gautschi M, Weisstanner C, Slotboom J, Nava E, Zürcher T, Nuoffer JM. Highly efficient ketone body treatment in multiple acyl-CoA dehydrogenase deficiency-related leukodystrophy. Pediatr Res 2015; 77:91-8. [PMID: 25289702 DOI: 10.1038/pr.2014.154] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Accepted: 07/23/2014] [Indexed: 11/09/2022]
Abstract
BACKGROUND Multiple acyl-CoA dehydrogenase deficiency- (MADD-), also called glutaric aciduria type 2, associated leukodystrophy may be severe and progressive despite conventional treatment with protein- and fat-restricted diet, carnitine, riboflavin, and coenzyme Q10. Administration of ketone bodies was described as a promising adjunct, but has only been documented once. METHODS We describe a Portuguese boy of consanguineous parents who developed progressive muscle weakness at 2.5 y of age, followed by severe metabolic decompensation with hypoglycaemia and coma triggered by a viral infection. Magnetic resonance (MR) imaging showed diffuse leukodystrophy. MADD was diagnosed by biochemical and molecular analyses. Clinical deterioration continued despite conventional treatment. Enteral sodium D,L-3-hydroxybutyrate (NaHB) was progressively introduced and maintained at 600 mg/kg BW/d (≈ 3% caloric need). Follow up was 3 y and included regular clinical examinations, biochemical studies, and imaging. RESULTS During follow up, the initial GMFC-MLD (motor function classification system, 0 = normal, 6 = maximum impairment) level of 5-6 gradually improved to 1 after 5 mo. Social functioning and quality of life recovered remarkably. We found considerable improvement of MR imaging and spectroscopy during follow up, with a certain lag behind clinical recovery. There was some persistent residual developmental delay. CONCLUSION NaHB is a highly effective and safe treatment that needs further controlled studies.
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Affiliation(s)
- Matthias Gautschi
- 1] Department of Paediatrics, University Hospital Bern, Inselspital, Bern, Switzerland [2] Institute of Clinical Chemistry, University Hospital Bern, Inselspital, Bern, Switzerland
| | - Christian Weisstanner
- Institute of Neuroradiology, University Hospital Bern, Inselspital, Bern, Switzerland
| | - Johannes Slotboom
- Institute of Neuroradiology, University Hospital Bern, Inselspital, Bern, Switzerland
| | - Esmeralda Nava
- Department of Paediatrics, University Hospital Bern, Inselspital, Bern, Switzerland
| | - Theres Zürcher
- Department of Paediatrics, University Hospital Bern, Inselspital, Bern, Switzerland
| | - Jean-Marc Nuoffer
- 1] Department of Paediatrics, University Hospital Bern, Inselspital, Bern, Switzerland [2] Institute of Clinical Chemistry, University Hospital Bern, Inselspital, Bern, Switzerland
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Li Y, Lee S, Langleite T, Norheim F, Pourteymour S, Jensen J, Stadheim HK, Storås TH, Davanger S, Gulseth HL, Birkeland KI, Drevon CA, Holen T. Subsarcolemmal lipid droplet responses to a combined endurance and strength exercise intervention. Physiol Rep 2014; 2:2/11/e12187. [PMID: 25413318 PMCID: PMC4255802 DOI: 10.14814/phy2.12187] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Muscle lipid stores and insulin sensitivity have a recognized association although the mechanism remains unclear. We investigated how a 12‐week supervised combined endurance and strength exercise intervention influenced muscle lipid stores in sedentary overweight dysglycemic subjects and normal weight control subjects (n = 18). Muscle lipid stores were measured by magnetic resonance spectroscopy (MRS), electron microscopy (EM) point counting, and direct EM lipid droplet measurements of subsarcolemmal (SS) and intramyofibrillar (IMF) regions, and indirectly, by deep sequencing and real‐time PCR of mRNA of lipid droplet‐associated proteins. Insulin sensitivity and VO2max increased significantly in both groups after 12 weeks of training. Muscle lipid stores were reduced according to MRS at baseline before and after the intervention, whereas EM point counting showed no change in LD stores post exercise, indicating a reduction in muscle adipocytes. Large‐scale EM quantification of LD parameters of the subsarcolemmal LD population demonstrated reductions in LD density and LD diameters. Lipid droplet volume in the subsarcolemmal LD population was reduced by ~80%, in both groups, while IMF LD volume was unchanged. Interestingly, the lipid droplet diameter (n = 10 958) distribution was skewed, with a lack of small diameter lipid droplets (smaller than ~200 nm), both in the SS and IMF regions. Our results show that the SS LD lipid store was sensitive to training, whereas the dominant IMF LD lipid store was not. Thus, net muscle lipid stores can be an insufficient measure for the effects of training. We have investigated the muscle storage lipids responses to exercise, finding that subsarcolemmal lipid droplets are reduced 80%. Interestingly, we find that the lipid droplet diameter distribution was skewed, with a marked lack of lipid droplets smaller than 200 nm.
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Affiliation(s)
- Yuchuan Li
- Department of Nutrition, Institute of Basic Medical Science, University of Oslo, Oslo, Norway
| | - Sindre Lee
- Department of Nutrition, Institute of Basic Medical Science, University of Oslo, Oslo, Norway
| | - Torgrim Langleite
- Department of Nutrition, Institute of Basic Medical Science, University of Oslo, Oslo, Norway Department of Endocrinology, Morbid Obesity and Preventive Medicine, Faculty of Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Frode Norheim
- Department of Nutrition, Institute of Basic Medical Science, University of Oslo, Oslo, Norway
| | - Shirin Pourteymour
- Department of Nutrition, Institute of Basic Medical Science, University of Oslo, Oslo, Norway
| | | | | | | | - Svend Davanger
- Department of Anatomy, Institute of Basic Medical Science, University of Oslo, Oslo, Norway
| | - Hanne L Gulseth
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Faculty of Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Kåre I Birkeland
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Faculty of Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Science, University of Oslo, Oslo, Norway
| | - Torgeir Holen
- Department of Nutrition, Institute of Basic Medical Science, University of Oslo, Oslo, Norway
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Sabati M, Sheriff S, Gu M, Wei J, Zhu H, Barker PB, Spielman DM, Alger JR, Maudsley AA. Multivendor implementation and comparison of volumetric whole-brain echo-planar MR spectroscopic imaging. Magn Reson Med 2014; 74:1209-20. [PMID: 25354190 DOI: 10.1002/mrm.25510] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2014] [Revised: 10/02/2014] [Accepted: 10/03/2014] [Indexed: 12/14/2022]
Abstract
PURPOSE To assess volumetric proton MR spectroscopic imaging (MRSI) of the human brain on multivendor MRI instruments. METHODS Echo-planar spectroscopic imaging was developed on instruments from three manufacturers, with matched specifications and acquisition protocols that accounted for differences in sampling performance, radiofrequency (RF) power, and data formats. Intersite reproducibility was evaluated for signal-normalized maps of N-acetylaspartate (NAA), creatine (Cre), and choline using phantom and human subject measurements. Comparative analyses included metrics for spectral quality, spatial coverage, and mean values in atlas-registered brain regions. RESULTS Intersite differences for phantom measurements were less than 1.7% for individual metabolites and less than 0.2% for ratio measurements. Spatial uniformity ranged from 79% to 91%. The human studies found differences of mean values in the temporal lobe, but good agreement in other white matter regions, with maximum differences relative to their mean of under 3.2%. For NAA/Cre, the maximum difference was 1.8%. In gray matter, a significant difference was observed for frontal lobe NAA. Primary causes of intersite differences were attributed to shim quality, B0 drift, and accuracy of RF excitation. Correlation coefficients for measurements at each site were over 0.60, indicating good reliability. CONCLUSION A volumetric intensity-normalized MRSI acquisition can be implemented in a comparable manner across multivendor MR instruments.
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Affiliation(s)
- Mohammad Sabati
- Department of Radiology, University of Miami, Miami, Florida, USA.,Department of Radiology, University of Calgary, Calgary, Canada
| | - Sulaiman Sheriff
- Department of Radiology, University of Miami, Miami, Florida, USA
| | - Meng Gu
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Juan Wei
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, and the F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Henry Zhu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, and the F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Peter B Barker
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, and the F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Daniel M Spielman
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Jeffry R Alger
- Neurology and Radiological Sciences, University of California, Los Angeles, California, USA
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10
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Altabella L, Zoratto F, Adriani W, Canese R. MR imaging-detectable metabolic alterations in attention deficit/hyperactivity disorder: from preclinical to clinical studies. AJNR Am J Neuroradiol 2014; 35:S55-63. [PMID: 24481327 DOI: 10.3174/ajnr.a3843] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
MR spectroscopy represents one of the most suitable in vivo tool to assess neurochemical dysfunction in several brain disorders, including attention deficit/hyperactivity disorder. This is the most common neuropsychiatric disorder in childhood and adolescence, which persists into adulthood (in approximately 30%-50% of cases). In past years, many studies have applied different MR spectroscopy techniques to investigate the pathogenesis and effect of conventional treatments. In this article, we review the most recent clinical and preclinical MR spectroscopy results on subjects with attention deficit/hyperactivity disorder and animal models, from childhood to adulthood. We found that the most investigated brain regions were the (pre)frontal lobes and striatum, both involved in the frontostriatal circuits and networks that are known to be impaired in this pathology. Neurometabolite alterations were detected in several regions: the NAA, choline, and glutamatergic compounds. The creatine pool was also altered when an absolute quantitative protocol was adopted. In particular, glutamate was increased in children with attention deficit/hyperactivity disorder, and this can apparently be reversed by methylphenidate treatment. The main difficulties in reviewing MR spectroscopy studies were in the nonhomogeneity of the analyzed subjects, the variety of the investigated brain regions, and also the use of different MR spectroscopy techniques. As for possible improvements in future studies, we recommend the use of standardized protocols and the analysis of other brain regions of particular interest for attention deficit hyperactivity disorder, like the hippocampus, limbic structures, thalamus, and cerebellum.
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Affiliation(s)
- L Altabella
- From the Department of Cell Biology and Neurosciences (L.A., F.Z., W.A., R.C.), Istituto Superiore di Sanità, Rome, Italy
| | - F Zoratto
- From the Department of Cell Biology and Neurosciences (L.A., F.Z., W.A., R.C.), Istituto Superiore di Sanità, Rome, ItalyBambino Gesù Children's Hospital IRCCS (F.Z.), Rome, Italy
| | - W Adriani
- From the Department of Cell Biology and Neurosciences (L.A., F.Z., W.A., R.C.), Istituto Superiore di Sanità, Rome, Italy
| | - R Canese
- From the Department of Cell Biology and Neurosciences (L.A., F.Z., W.A., R.C.), Istituto Superiore di Sanità, Rome, Italy
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11
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Ding XQ, Maudsley AA, Sabati M, Sheriff S, Dellani PR, Lanfermann H. Reproducibility and reliability of short-TE whole-brain MR spectroscopic imaging of human brain at 3T. Magn Reson Med 2014; 73:921-8. [PMID: 24677384 DOI: 10.1002/mrm.25208] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2013] [Revised: 02/11/2014] [Accepted: 02/20/2014] [Indexed: 12/29/2022]
Abstract
PURPOSE A feasibility study of an echo-planar spectroscopic imaging (EPSI) using a short echo time (TE) that trades off sensitivity, compared with other short-TE methods, to achieve whole brain coverage using inversion recovery and spatial oversampling to control lipid bleeding. METHODS Twenty subjects were scanned to examine intersubject variance. One subject was scanned five times to examine intrasubject reproducibility. Data were analyzed to determine coefficients of variance (COV) and intraclass correlation coefficient (ICC) for N-acetylaspartate (NAA), total creatine (tCr), total choline (tCho), glutamine/glutamate (Glx), and myo-inositol (mI). Regional metabolite concentrations were derived by using multi-voxel analysis based on lobar-level anatomic regions. RESULTS For whole-brain mean values, the intrasubject COVs were 14%, 15%, and 20% for NAA, tCr, and tCho, respectively, and 31% for Glx and mI. The intersubject COVs were up to 6% higher. For regional distributions, the intrasubject COVs were ≤ 5% for NAA, tCr, and tCho; ≤ 9% for Glx; and ≤15% for mI, with about 6% higher intersubject COVs. The ICCs of 5 metabolites were ≥ 0.7, indicating the reliability of the measurements. CONCLUSION The present EPSI method enables estimation of the whole-brain metabolite distributions, including Glx and mI with small voxel size, and a reasonable scan time and reproducibility.
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Affiliation(s)
- Xiao-Qi Ding
- Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
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12
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Öz G, Alger JR, Barker PB, Bartha R, Bizzi A, Boesch C, Bolan PJ, Brindle KM, Cudalbu C, Dinçer A, Dydak U, Emir UE, Frahm J, González RG, Gruber S, Gruetter R, Gupta RK, Heerschap A, Henning A, Hetherington HP, Howe FA, Hüppi PS, Hurd RE, Kantarci K, Klomp DWJ, Kreis R, Kruiskamp MJ, Leach MO, Lin AP, Luijten PR, Marjańska M, Maudsley AA, Meyerhoff DJ, Mountford CE, Nelson SJ, Pamir MN, Pan JW, Peet AC, Poptani H, Posse S, Pouwels PJW, Ratai EM, Ross BD, Scheenen TWJ, Schuster C, Smith ICP, Soher BJ, Tkáč I, Vigneron DB, Kauppinen RA. Clinical proton MR spectroscopy in central nervous system disorders. Radiology 2014; 270:658-79. [PMID: 24568703 PMCID: PMC4263653 DOI: 10.1148/radiol.13130531] [Citation(s) in RCA: 419] [Impact Index Per Article: 41.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
A large body of published work shows that proton (hydrogen 1 [(1)H]) magnetic resonance (MR) spectroscopy has evolved from a research tool into a clinical neuroimaging modality. Herein, the authors present a summary of brain disorders in which MR spectroscopy has an impact on patient management, together with a critical consideration of common data acquisition and processing procedures. The article documents the impact of (1)H MR spectroscopy in the clinical evaluation of disorders of the central nervous system. The clinical usefulness of (1)H MR spectroscopy has been established for brain neoplasms, neonatal and pediatric disorders (hypoxia-ischemia, inherited metabolic diseases, and traumatic brain injury), demyelinating disorders, and infectious brain lesions. The growing list of disorders for which (1)H MR spectroscopy may contribute to patient management extends to neurodegenerative diseases, epilepsy, and stroke. To facilitate expanded clinical acceptance and standardization of MR spectroscopy methodology, guidelines are provided for data acquisition and analysis, quality assessment, and interpretation. Finally, the authors offer recommendations to expedite the use of robust MR spectroscopy methodology in the clinical setting, including incorporation of technical advances on clinical units.
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Affiliation(s)
- Gülin Öz
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Jeffry R. Alger
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Peter B. Barker
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Robert Bartha
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Alberto Bizzi
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Chris Boesch
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Patrick J. Bolan
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Kevin M. Brindle
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Cristina Cudalbu
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Alp Dinçer
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Ulrike Dydak
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Uzay E. Emir
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Jens Frahm
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Ramón Gilberto González
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Stephan Gruber
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Rolf Gruetter
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Rakesh K. Gupta
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Arend Heerschap
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Anke Henning
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Hoby P. Hetherington
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Franklyn A. Howe
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Petra S. Hüppi
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Ralph E. Hurd
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Kejal Kantarci
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Dennis W. J. Klomp
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Roland Kreis
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Marijn J. Kruiskamp
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Martin O. Leach
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Alexander P. Lin
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Peter R. Luijten
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Małgorzata Marjańska
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Andrew A. Maudsley
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Dieter J. Meyerhoff
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Carolyn E. Mountford
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Sarah J. Nelson
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - M. Necmettin Pamir
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Jullie W. Pan
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Andrew C. Peet
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Harish Poptani
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Stefan Posse
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Petra J. W. Pouwels
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Eva-Maria Ratai
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Brian D. Ross
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Tom W. J. Scheenen
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Christian Schuster
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Ian C. P. Smith
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Brian J. Soher
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Ivan Tkáč
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
| | - Daniel B. Vigneron
- From the Center for Magnetic Resonance Research, University of Minnesota,
2021 6th St SE, Minneapolis, MN 55455 (G.O.)
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13
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Rae CD. A Guide to the Metabolic Pathways and Function of Metabolites Observed in Human Brain 1H Magnetic Resonance Spectra. Neurochem Res 2013; 39:1-36. [PMID: 24258018 DOI: 10.1007/s11064-013-1199-5] [Citation(s) in RCA: 327] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2013] [Revised: 11/08/2013] [Accepted: 11/11/2013] [Indexed: 12/20/2022]
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14
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Quantification in magnetic resonance spectroscopy based on semi-parametric approaches. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2013; 27:113-30. [DOI: 10.1007/s10334-013-0393-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2013] [Revised: 07/08/2013] [Accepted: 07/08/2013] [Indexed: 10/26/2022]
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15
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Abstract
Imaging is a key component in the management of brain tumours, with MRI being the preferred modality for most clinical scenarios. However, although conventional MRI provides mainly structural information, such as tumour size and location, it leaves many important clinical questions, such as tumour type, aggressiveness and prognosis, unanswered. An increasing number of studies have shown that additional information can be obtained using functional imaging methods (which probe tissue properties), and that these techniques can give key information of clinical importance. These techniques include diffusion imaging, which can assess tissue structure, and perfusion imaging and magnetic resonance spectroscopy, which measures tissue metabolite profiles. Tumour metabolism can also be investigated using PET, with 18F-deoxyglucose being the most readily available tracer. This Review discusses these methods and the studies that have investigated their clinical use. A strong emphasis is placed on the measurement of quantitative parameters, which is a move away from the qualitative nature of conventional radiological reporting and presents major challenges, particularly for multicentre studies.
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