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Abbaspour F, Mohammadi N, Amiri H, Cheraghi S, Ahadi R, Hormozi-Moghaddam Z. Applications of magnetic resonance spectroscopy in diagnosis of neurodegenerative diseases: A systematic review. Heliyon 2024; 10:e30521. [PMID: 38726104 PMCID: PMC11079321 DOI: 10.1016/j.heliyon.2024.e30521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 04/28/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
Background Magnetic resonance spectroscopy (MRS) is an imaging technique used to measure metabolic changes in the tissue. Due to the lack of evidence, MRS is not a priority in diagnosing neurodegenerative diseases because it is a relatively specialized technique that requires specialized equipment and expertise to perform and interpret. This systematic review aimed to present a comprehensive collection of MRS results in the most common neurodegenerative diseases. Methods A systematic search of four electronic databases (PubMed, Scopus, Web of Science, and ScienceDirect) was conducted for studies published from 2017 to 2022. Articles that provided specific biomarker levels were selected, and studies that assessed the diseases via treatment, featured MRS applying nuclei other than 1H, or compared different animal models were excluded. Results A total of 25 articles, plus 3 articles for extra information in the introduction, were included in this review. Six of the most common neurodegenerative diseases, i.e., Alzheimer's and Parkinson's disease, Huntington chorea, ataxia, multiple sclerosis (MS), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP) were examined via MRS. The changes and ratios of N-acetylaspartate (NAA) could be seen in all of these disorders, which could lead to early diagnosis. However, there are other biomarkers, such as Cr and Chon, which can give convincing results. Discussion This observational study is the first synthesis of the latest evidence proving metabolic changes during neurodegenerative diseases using MRS as a diagnosis method. The findings indicate decreased N-acetylaspartate (NAA) and NAA/Cr ratios in Alzheimer's disease (AD), Parkinson's disease (PD), ataxias, and MS, reflecting neuronal loss or dysfunction. Increased choline and myo-inositol were noted in some studies, suggesting cell membrane turnover and neuroinflammation. Findings were less consistent for other metabolites like glutamate and gamma-aminobutyric acid. However, there were limitations due to the lack of studies on the same volumes of interest (VOIs) and the small number of participants.
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Affiliation(s)
- Fatemeh Abbaspour
- Department of Radiation Sciences, Allied Medicine Faculty, Iran University of Medical Sciences, Tehran, Iran
| | - Niusha Mohammadi
- Department of Radiation Sciences, Allied Medicine Faculty, Iran University of Medical Sciences, Tehran, Iran
| | - Hassan Amiri
- Emergency Medicine Management Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Susan Cheraghi
- Department of Radiation Sciences, Allied Medicine Faculty, Iran University of Medical Sciences, Tehran, Iran
- Radiation Biology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Reza Ahadi
- Department of Anatomical Science Iran University of Medical Science Tehran, Iran
| | - Zeinab Hormozi-Moghaddam
- Department of Radiation Sciences, Allied Medicine Faculty, Iran University of Medical Sciences, Tehran, Iran
- Radiation Biology Research Center, Iran University of Medical Sciences, Tehran, Iran
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Dogahe MH, Ramezani S, Reihanian Z, Raminfard S, Feizkhah A, Alijani B, Herfeh SS. Role of brain metabolites during acute phase of mild traumatic brain injury in prognosis of post-concussion syndrome: A 1H-MRS study. Psychiatry Res Neuroimaging 2023; 335:111709. [PMID: 37688998 DOI: 10.1016/j.pscychresns.2023.111709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 06/20/2023] [Accepted: 08/24/2023] [Indexed: 09/11/2023]
Abstract
This study has investigated the potency and accuracy of early magnetic resonance spectroscopy (MRS) to predict post-concussion syndrome (PCS) in adult patients with a single mild traumatic brain injury (mTBI) without abnormality on a routine brain scan. A total of 48 eligible mTBI patients and 24 volunteers in the control group participated in this project. Brain MRS over regions of interest (ROI) and signal stop task (SST) were done within the first 72 hours of TBI onset. After six months, PCS appearance and severity were determined. In non-PCS patients, N-acetyl aspartate (NAA) levels significantly increased in the dorsolateral prefrontal cortex (DLPFC) and anterior cingulate cortex (ACC) relative to the control group, however, this increase of NAA levels were recorded in all ROI versus PCS subjects. There were dramatic declines in creatinine (Cr) levels of all ROI and a decrease in choline levels of corpus callosum (CC) in the PCS group versus control and non-PCS ones. NAA and NAA/Cho values in ACC were the main predictors of PCS appearance. The Cho/Cr level in ACC was the first predictor of PCS severity. Predicting accuracy was higher in ACC than in other regions. This study suggested the significance of neuro-markers in ACC for optimal prediction of PCS and rendered a new insight into the biological mechanism of mTBI that underpins PCS.
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Affiliation(s)
| | - Sara Ramezani
- Guilan Road Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran; Department of Food Science and Nutrition, California State University, Fresno, CA, USA; Neuroscience Research Center, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
| | - Zoheir Reihanian
- Department of Neurosurgery, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Samira Raminfard
- Neuroimaging and Analysis Group, Research Center of Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Feizkhah
- Burn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran; Department of Medical Physics, Guilan University of Medical Sciences, Rasht, Iran
| | - Babak Alijani
- Guilan Road Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran; Department of Neurosurgery, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Sina Sedaghat Herfeh
- Neuroscience Research Center, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
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de Souza DN, Jarmol M, Bell CA, Marini C, Balcer LJ, Galetta SL, Grossman SN. Precision Concussion Management: Approaches to Quantifying Head Injury Severity and Recovery. Brain Sci 2023; 13:1352. [PMID: 37759953 PMCID: PMC10526525 DOI: 10.3390/brainsci13091352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 09/29/2023] Open
Abstract
Mitigating the substantial public health impact of concussion is a particularly difficult challenge. This is partly because concussion is a highly prevalent condition, and diagnosis is predominantly symptom-based. Much of contemporary concussion management relies on symptom interpretation and accurate reporting by patients. These types of reports may be influenced by a variety of factors for each individual, such as preexisting mental health conditions, headache disorders, and sleep conditions, among other factors. This can all be contributory to non-specific and potentially misleading clinical manifestations in the aftermath of a concussion. This review aimed to conduct an examination of the existing literature on emerging approaches for objectively evaluating potential concussion, as well as to highlight current gaps in understanding where further research is necessary. Objective assessments of visual and ocular motor concussion symptoms, specialized imaging techniques, and tissue-based concentrations of specific biomarkers have all shown promise for specifically characterizing diffuse brain injuries, and will be important to the future of concussion diagnosis and management. The consolidation of these approaches into a comprehensive examination progression will be the next horizon for increased precision in concussion diagnosis and treatment.
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Affiliation(s)
- Daniel N. de Souza
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
| | - Mitchell Jarmol
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
| | - Carter A. Bell
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
| | - Christina Marini
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
| | - Laura J. Balcer
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
- Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY 10017, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, NY 10017, USA
| | - Steven L. Galetta
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
- Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY 10017, USA
| | - Scott N. Grossman
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10017, USA; (D.N.d.S.); (M.J.); (C.A.B.); (C.M.); (L.J.B.); (S.L.G.)
- Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY 10017, USA
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Dang C, Wang Y, Li Q, Lu Y. Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers. PSYCHORADIOLOGY 2023; 3:kkad009. [PMID: 38666112 PMCID: PMC11003434 DOI: 10.1093/psyrad/kkad009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/04/2023] [Accepted: 06/20/2023] [Indexed: 04/28/2024]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia. Neuropathological changes in AD patients occur up to 10-20 years before the emergence of clinical symptoms. Specific diagnosis and appropriate intervention strategies are crucial during the phase of mild cognitive impairment (MCI) and AD. The detection of biomarkers has emerged as a promising tool for tracking the efficacy of potential therapies, making an early disease diagnosis, and prejudging treatment prognosis. Specifically, multiple neuroimaging modalities, including magnetic resonance imaging (MRI), positron emission tomography, optical imaging, and single photon emission-computed tomography, have provided a few potential biomarkers for clinical application. The MRI modalities described in this review include structural MRI, functional MRI, diffusion tensor imaging, magnetic resonance spectroscopy, and arterial spin labelling. These techniques allow the detection of presymptomatic diagnostic biomarkers in the brains of cognitively normal elderly people and might also be used to monitor AD disease progression after the onset of clinical symptoms. This review highlights potential biomarkers, merits, and demerits of different neuroimaging modalities and their clinical value in MCI and AD patients. Further studies are necessary to explore more biomarkers and overcome the limitations of multiple neuroimaging modalities for inclusion in diagnostic criteria for AD.
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Affiliation(s)
- Chun Dang
- Department of Periodical Press, West China Hospital, Sichuan University, Chengdu 610000, China
| | - Yanchao Wang
- Department of Neurology, Chifeng University of Affiliated Hospital, Chifeng 024000, China
| | - Qian Li
- Department of Neurology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
| | - Yaoheng Lu
- Department of General Surgery, Chengdu Integrated Traditional Chinese Medicine and Western Medicine Hospital, Chengdu 610000, China
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Bagcioglu E, Solmaz V, Erbas O, Özkul B, Çakar B, Uyanikgil Y, Söğüt İ. Modafinil Improves Autism-like Behavior in Rats by Reducing Neuroinflammation. J Neuroimmune Pharmacol 2023; 18:9-23. [PMID: 37043086 DOI: 10.1007/s11481-023-10061-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 03/16/2023] [Indexed: 04/13/2023]
Abstract
To evaluate the ameliorating effect of Modafinil on neuroinflammation, behavioral, and histopathological alterations in rats induced by propionic acid (PPA). Thirty male Wistar rats were used in the study, divided into 3 groups of ten subjects. One group served as a control, the subjects in the other two were given 250 mg/kg/day of PPA by intraperitoneal injection over the course of 5 days to induce autism. The experimental design was as follows: Group 1: Normal control (orally-fed control, n = 10); Group 2 (PPA + saline, n = 10): PPA and 1 ml/kg/day % 0.9 NaCl saline via oral gavage; Group 3 (PPA + Modafinil, n = 10) PPA and 30 mg/kg/day Modafinil (Modiodal tablets 100 mg, Cephalon) via oral gavage. All of the groups were investigated for behavioral, biochemical, and histological abnormality. Autism-like behaviors were reduced significantly in the rats treated with PPA. TNF-α, Nerve Growth Factor (NGF), IL-17, IL-2, and NF-KB levels as well as MDA levels and lactate were significantly higher in those treated with PPA compared to the control group. Using immunohistochemical methods, the number of neurons and GFAP immunoreactivity was significantly altered in PPA-treated rats compared to the control. Using Magnetic Resonance Spectroscopy (MRS), we found that lactate levels were significantly higher in the PPA-treated rats, while creatinine levels were significantly decreased. In the rats administered with Modafinil, behavior, neuroinflammation, and histopathological changes brought about by PPA were significantly reversed. Our results demonstrate the potential role of Modafinil in ameliorating PPA-induced neuroinflammation in rats.
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Affiliation(s)
- Erman Bagcioglu
- Department of Clinical Psychology, Ruhr University, Bochum, Germany.
| | - Volkan Solmaz
- Department of Neurophysiology, Cologne University, Cologne, Germany
| | - Oytun Erbas
- Department of Physiology, Istanbul Bilim University School of Medicine, Istanbul, Turkey
| | - Bahattin Özkul
- Department of Radiology, Istanbul Atlas University, Istanbul, Turkey
| | - Burak Çakar
- Department of Histology and Embryology, Faculty of Medicine, Ege University, Izmir, Turkey
| | - Yigit Uyanikgil
- Department of Histology and Embryology, Faculty of Medicine, Ege University, Izmir, Turkey
| | - İbrahim Söğüt
- Department of Biochemistry, Demiroğlu Bilim University, Istanbul, Turkey
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Hao J, Zhang X, Liu Y, Zhang Z, Jiang K, Zhang XY, Wu M. Cross-sectional Exploration of the Relationship Between Glutamate Abnormalities and Tic Disorder Severity Using Proton Magnetic Resonance Spectroscopy. PHENOMICS (CHAM, SWITZERLAND) 2023; 3:138-147. [PMID: 37197641 PMCID: PMC10110806 DOI: 10.1007/s43657-022-00064-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 05/13/2022] [Accepted: 05/19/2022] [Indexed: 05/19/2023]
Abstract
Glutamate (Glu) has been reported to be closely related to the pathophysiology of Tic Disorders (TD). By using proton magnetic resonance spectroscopy (1H-MRS), we aimed to investigate the relationship between in vivo Glu levels and the severity of TD. We performed a cross-sectional study in medication-free patients with TD and healthy controls aged between 5 and 13 years using 1H-MRS at 3 T. First, we measured the Glu levels in both patients and controls and observed the difference in subgroups, including mild TD patients and moderate TD patients. We then examined the correlations between the Glu levels and clinical features of the patients. Finally, we assessed the diagnostic value of 1H-MRS and the influencing factors. Our results show that the Glu levels in the striatum of all patients with TD were not significantly different from those of the healthy controls. Subgroup analysis revealed that the Glu levels in the moderate TD group were higher than those in the mild TD group and healthy controls. The correlation analysis showed that Glu levels are strongly positive correlated with TD severity. The optimal cutoff value of Glu levels to differentiate mild tics from moderate tics was 1.244, with a sensitivity of 88.2% and a specificity of 94.7%. Multiple linear regression models revealed that the severity of TD is one of the important factors that affect Glu levels. We conclude that Glu levels are mainly associated with the severity of tics, thus it could serve as a key biomarker for TD classification.
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Affiliation(s)
- Juanjuan Hao
- Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092 People’s Republic of China
- School of Medicine, Shaoxing University, 900 Chengnan Road, Shaoxing, 312000 People’s Republic of China
| | - Xin Zhang
- Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092 People’s Republic of China
| | - Ying Liu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433 People’s Republic of China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433 People’s Republic of China
| | - Zhongyang Zhang
- Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092 People’s Republic of China
| | - Keyu Jiang
- Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092 People’s Republic of China
| | - Xiao-Yong Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433 People’s Republic of China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433 People’s Republic of China
| | - Min Wu
- Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092 People’s Republic of China
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Predicting a Favorable (mRS 0-2) or Unfavorable (mRS 3-6) Stroke Outcome by Arterial Spin Labeling and Amide Proton Transfer Imaging in Post-Thrombolysis Stroke Patients. J Pers Med 2023; 13:jpm13020248. [PMID: 36836482 PMCID: PMC9962289 DOI: 10.3390/jpm13020248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/26/2023] [Accepted: 01/28/2023] [Indexed: 01/31/2023] Open
Abstract
(1) Background: The objective of this study was to determine whether arterial spin labeling (ASL), amide proton transfer (APT), or their combination could distinguish between patients with a low and high modified Rankin Scale (mRS) and forecast the effectiveness of the therapy; (2) Methods: Fifty-eight patients with subacute phase ischemic stroke were included in this study. Based on cerebral blood flow (CBF) and asymmetry magnetic transfer ratio (MTRasym) images, histogram analysis was performed on the ischemic area to acquire imaging biomarkers, and the contralateral area was used as a control. Imaging biomarkers were compared between the low (mRS 0-2) and high (mRS 3-6) mRS score groups using the Mann-Whitney U test. Receiver operating characteristic (ROC) curve analysis was used to evaluate the performance of the potential biomarkers in differentiating between the two groups; (3) Results: The rAPT 50th had an area under the ROC curve (AUC) of 0.728, with a sensitivity of 91.67% and a specificity of 61.76% for differentiating between patients with low and high mRS scores. Moreover, the AUC, sensitivity, and specificity of the rASL max were 0.926, 100%, and 82.4%, respectively. Combining the parameters with logistic regression could further improve the performance in predicting prognosis, leading to an AUC of 0.968, a sensitivity of 100%, and a specificity of 91.2%; (4) Conclusions: The combination of APT and ASL may be a potential imaging biomarker to reflect the effectiveness of thrombolytic therapy for stroke patients, assisting in guiding treatment approaches and identifying high-risk patients such as those with severe disability, paralysis, and cognitive impairment.
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Multinuclear MRI in Drug Discovery. Molecules 2022; 27:molecules27196493. [PMID: 36235031 PMCID: PMC9572840 DOI: 10.3390/molecules27196493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/17/2022] [Accepted: 09/29/2022] [Indexed: 11/05/2022] Open
Abstract
The continuous development of magnetic resonance imaging broadens the range of applications to newer areas. Using MRI, we can not only visualize, but also track pharmaceutical substances and labeled cells in both in vivo and in vitro tests. 1H is widely used in the MRI method, which is determined by its high content in the human body. The potential of the MRI method makes it an excellent tool for imaging the morphology of the examined objects, and also enables registration of changes at the level of metabolism. There are several reports in the scientific publications on the use of clinical MRI for in vitro tracking. The use of multinuclear MRI has great potential for scientific research and clinical studies. Tuning MRI scanners to the Larmor frequency of a given nucleus, allows imaging without tissue background. Heavy nuclei are components of both drugs and contrast agents and molecular complexes. The implementation of hyperpolarization techniques allows for better MRI sensitivity. The aim of this review is to present the use of multinuclear MRI for investigations in drug delivery.
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Bogner W, Otazo R, Henning A. Accelerated MR spectroscopic imaging-a review of current and emerging techniques. NMR IN BIOMEDICINE 2021; 34:e4314. [PMID: 32399974 PMCID: PMC8244067 DOI: 10.1002/nbm.4314] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 03/24/2020] [Accepted: 03/30/2020] [Indexed: 05/14/2023]
Abstract
Over more than 30 years in vivo MR spectroscopic imaging (MRSI) has undergone an enormous evolution from theoretical concepts in the early 1980s to the robust imaging technique that it is today. The development of both fast and efficient sampling and reconstruction techniques has played a fundamental role in this process. State-of-the-art MRSI has grown from a slow purely phase-encoded acquisition technique to a method that today combines the benefits of different acceleration techniques. These include shortening of repetition times, spatial-spectral encoding, undersampling of k-space and time domain, and use of spatial-spectral prior knowledge in the reconstruction. In this way in vivo MRSI has considerably advanced in terms of spatial coverage, spatial resolution, acquisition speed, artifact suppression, number of detectable metabolites and quantification precision. Acceleration not only has been the enabling factor in high-resolution whole-brain 1 H-MRSI, but today is also common in non-proton MRSI (31 P, 2 H and 13 C) and applied in many different organs. In this process, MRSI techniques had to constantly adapt, but have also benefitted from the significant increase of magnetic field strength boosting the signal-to-noise ratio along with high gradient fidelity and high-density receive arrays. In combination with recent trends in image reconstruction and much improved computation power, these advances led to a number of novel developments with respect to MRSI acceleration. Today MRSI allows for non-invasive and non-ionizing mapping of the spatial distribution of various metabolites' tissue concentrations in animals or humans, is applied for clinical diagnostics and has been established as an important tool for neuro-scientific and metabolism research. This review highlights the developments of the last five years and puts them into the context of earlier MRSI acceleration techniques. In addition to 1 H-MRSI it also includes other relevant nuclei and is not limited to certain body regions or specific applications.
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Affiliation(s)
- Wolfgang Bogner
- High‐Field MR Center, Department of Biomedical Imaging and Image‐Guided TherapyMedical University of ViennaViennaAustria
| | - Ricardo Otazo
- Department of Medical PhysicsMemorial Sloan Kettering Cancer CenterNew York, New YorkUSA
| | - Anke Henning
- Max Planck Institute for Biological CyberneticsTübingenGermany
- Advanced Imaging Research Center, UT Southwestern Medical CenterDallasTexasUSA
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Erchinger VJ, Miller J, Jones T, Kessler U, Bustillo J, Haavik J, Petrillo J, Ziomek G, Hammar Å, Oedegaard KJ, Calhoun VD, McClintock SM, Ersland L, Oltedal L, Abbott CC. Anterior cingulate gamma-aminobutyric acid concentrations and electroconvulsive therapy. Brain Behav 2020; 10:e01833. [PMID: 32940003 PMCID: PMC7667336 DOI: 10.1002/brb3.1833] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 08/11/2020] [Accepted: 08/12/2020] [Indexed: 01/02/2023] Open
Abstract
OBJECTIVE The anticonvulsant hypothesis posits that ECT's mechanism of action is related to enhancement of endogenous anticonvulsant brain mechanisms. Results of prior studies investigating the role of the inhibitory neurotransmitter gamma-aminobutyric acid ("GABA+", GABA and coedited macromolecules) in the pathophysiology and treatment of depression remain inconclusive. The aim of our study was to investigate treatment-responsive changes of GABA+ in subjects with a depressive episode receiving electroconvulsive therapy (ECT). METHODS In total, 41 depressed subjects (DEP) and 35 healthy controls (HC) were recruited at two independent sites in Norway and the USA. MEGA-PRESS was used for investigation of GABA+ in the anterior cingulate cortex. We assessed longitudinal and cross-sectional differences between DEP and HC, as well as the relationship between GABA+ change and change in depression severity and number of ECTs. We also assessed longitudinal differences in cognitive performance and GABA+ levels. RESULTS Depressive episode did not show a difference in GABA+ relative to HC (t71 = -0.36, p = .72) or in longitudinal analysis (t36 = 0.97, p = .34). Remitters and nonremitters did not show longitudinal (t36 = 1.12, p = .27) or cross-sectional differences in GABA+. GABA+ levels were not related to changes in antidepressant response (t35 = 1.12, p = .27) or treatment number (t36 = 0.05, p = .96). An association between cognitive performance and GABA+ levels was found in DEP that completed cognitive effortful testing (t18 = 2.4, p = .03). CONCLUSION Our results failed to support GABA as a marker for depression and abnormal mood state and provide no support for the anticonvulsant hypothesis of ECT. ECT-induced change in GABA concentrations may be related to change in cognitive function.
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Affiliation(s)
- Vera J Erchinger
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Jeremy Miller
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Thomas Jones
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Ute Kessler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Juan Bustillo
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Jan Haavik
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Jonathan Petrillo
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Gregory Ziomek
- Department of Psychiatry, University of Texas at Austin Dell Medical School, Austin, TX, USA
| | - Åsa Hammar
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Ketil J Oedegaard
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Tech, Emory, Atlanta, GA, USA
| | - Shawn M McClintock
- Division of Psychology, Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Division of Brain Stimulation and Neurophysiology, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Lars Ersland
- Department of Biomedicine, University of Bergen, Bergen, Norway.,Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway.,Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Leif Oltedal
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Christopher C Abbott
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA
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Wang R, Wang C, Dai Z, Chen Y, Shen Z, Xiao G, Chen Y, Zhou JN, Zhuang Z, Wu R. An Amyloid-β Targeting Chemical Exchange Saturation Transfer Probe for In Vivo Detection of Alzheimer's Disease. ACS Chem Neurosci 2019; 10:3859-3867. [PMID: 31343167 DOI: 10.1021/acschemneuro.9b00334] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
A reliable and reproducible detection of Aβ deposits would be beneficial for the early diagnosis of Alzheimer's disease (AD). In the present study, the feasibility of applying chemical exchange saturation transfer (CEST) for Aβ deposit detection using angiopep-2 as a probe was evaluated, and it was demonstrated that CEST could detect angiopep-2 and Aβ-angiopep-2 aggregates in vitro. Furthermore, APP/PS1 mice injected with angiopep-2 exhibited a significantly higher in vivo CEST effect when compared with controls. The distribution of Aβ deposits detected by CEST imaging was consistent with the histological staining results. The present study is the first to report a reliable exogenous CEST probe to noninvasively evaluate Aβ deposits in APP/PS1 mice. Furthermore, these results demonstrate the potential for clinical AD diagnosis and Aβ-targeted drug therapy assessment using CEST imaging with the angiopep-2 probe.
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Affiliation(s)
- Runrun Wang
- Department of Medical Imaging, Second Affiliated Hospital , Shantou University Medical College , Shantou , Guangdong 515000 , P. R. China
| | - Chenwei Wang
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences , University of Science and Technology of China , Hefei , Anhui 230000 , P. R. China
| | - Zhuozhi Dai
- Department of Medical Imaging, Second Affiliated Hospital , Shantou University Medical College , Shantou , Guangdong 515000 , P. R. China
| | - Yanzi Chen
- Department of Medical Imaging, Second Affiliated Hospital , Shantou University Medical College , Shantou , Guangdong 515000 , P. R. China
| | - Zhiwei Shen
- Department of Medical Imaging, Second Affiliated Hospital , Shantou University Medical College , Shantou , Guangdong 515000 , P. R. China
| | - Gang Xiao
- Department of Mathematics and Statistics , Hanshan Normal University , Chaozhou 515000 , P. R. China
| | - Yuanfeng Chen
- Department of Medical Imaging, Second Affiliated Hospital , Shantou University Medical College , Shantou , Guangdong 515000 , P. R. China
| | - Jiang-Ning Zhou
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences , University of Science and Technology of China , Hefei , Anhui 230000 , P. R. China
- Center for Excellence in Brain Science and Intelligence Technology , Chinese Academy of Sciences , Shanghai 200031 , China
| | - Zerui Zhuang
- Department of Medical Imaging, Second Affiliated Hospital , Shantou University Medical College , Shantou , Guangdong 515000 , P. R. China
| | - Renhua Wu
- Department of Medical Imaging, Second Affiliated Hospital , Shantou University Medical College , Shantou , Guangdong 515000 , P. R. China
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12
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Landheer K, Schulte RF, Treacy MS, Swanberg KM, Juchem C. Theoretical description of modern1H in Vivo magnetic resonance spectroscopic pulse sequences. J Magn Reson Imaging 2019; 51:1008-1029. [DOI: 10.1002/jmri.26846] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 06/14/2019] [Accepted: 06/17/2019] [Indexed: 01/20/2023] Open
Affiliation(s)
- Karl Landheer
- Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science New York New York USA
| | | | - Michael S. Treacy
- Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science New York New York USA
| | - Kelley M. Swanberg
- Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science New York New York USA
| | - Christoph Juchem
- Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science New York New York USA
- Radiology, Columbia University College of Physicians and Surgeons New York New York USA
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13
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Gasparovic C, Chen H, Mullins PG. Errors in 1 H-MRS estimates of brain metabolite concentrations caused by failing to take into account tissue-specific signal relaxation. NMR IN BIOMEDICINE 2018; 31:e3914. [PMID: 29727496 DOI: 10.1002/nbm.3914] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 02/06/2018] [Accepted: 02/07/2018] [Indexed: 06/08/2023]
Abstract
Accurate measurement of brain metabolite concentrations with proton magnetic resonance spectroscopy (1 H-MRS) can be problematic because of large voxels with mixed tissue composition, requiring adjustment for differing relaxation rates in each tissue if absolute concentration estimates are desired. Adjusting for tissue-specific metabolite signal relaxation, however, also requires a knowledge of the relative concentrations of the metabolite in gray (GM) and white (WM) matter, which are not known a priori. Expressions for the estimation of the molality and molarity of brain metabolites with 1 H-MRS are extended to account for tissue-specific relaxation of the metabolite signals and examined under different assumptions with simulated and real data. Although the modified equations have two unknowns, and hence are unsolvable explicitly, they are nonetheless useful for the estimation of the effect of tissue-specific metabolite relaxation rates on concentration estimates under a range of assumptions and experimental parameters using simulated and real data. In simulated data using reported GM and WM T1 and T2 times for N-acetylaspartate (NAA) at 3 T and a hypothetical GM/WM NAA ratio, errors of 6.5-7.8% in concentrations resulted when TR = 1.5 s and TE = 0.144 s, but were reduced to less than 0.5% when TR = 6 s and TE = 0.006 s. In real data obtained at TR/TE = 1.5 s/0.04 s, the difference in the results (4%) was similar to that obtained with simulated data when assuming tissue-specific relaxation times rather than GM-WM-averaged times. Using the expressions introduced in this article, these results can be extrapolated to any metabolite or set of assumptions regarding tissue-specific relaxation. Furthermore, although serving to bound the problem, this work underscores the challenge of correcting for relaxation effects, given that relaxation times are generally not known and impractical to measure in most studies. To minimize such effects, the data should be acquired with pulse sequence parameters that minimize the effect of signal relaxation.
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Affiliation(s)
| | - Hongji Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Catonsville, MD, USA
| | - Paul G Mullins
- School of Psychology, Bangor University, Bangor, Gwynedd, UK
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14
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de Souza RSM, Rosa M, Rodrigues TM, Escobar TDC, Gasparetto EL, Nakamura-Palacios EM. Lower Choline Rate in the Left Prefrontal Cortex Is Associated With Higher Amount of Alcohol Use in Alcohol Use Disorder. Front Psychiatry 2018; 9:563. [PMID: 30464749 PMCID: PMC6234763 DOI: 10.3389/fpsyt.2018.00563] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 10/17/2018] [Indexed: 11/26/2022] Open
Abstract
Excessive and long-term alcohol consumption produce metabolic changes, such as of choline, in many brain regions in alcohol use disorder (AUD) and in non-AUD subjects as well. This study examined the association of choline proportion in the prefrontal cortex with pattern of alcohol use in AUD patients. The choline metabolite was acquired through a single voxel Proton Magnetic Resonance Spectroscopy (1H MRS). Between-groups comparison corrected by age showed that the ratio of Choline/Creatine (Cho/Cr) was significantly smaller (p = 0.005) in the Left Prefrontal (LPF) of AUD patients when compared to paired non-AUD subjects. A multiple regression analysis corrected by age showed that decreasing ratios of Cho/Cr in the LPF was associated with increasing amount of alcohol consumption in drinks per day (p < 0.01) in AUD patients. Rates of Cho/Cr in the LPF was inversely related to amounts of alcohol consumption possibly indicating the severity of the AUD. Thus, low proportion of Cho/Cr in the LPF could indicate more severe AUD (higher alcohol intake).
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Affiliation(s)
- Rodrigo Stênio Moll de Souza
- Department of Internal Medicine, Health Sciences Center, Federal University of Espírito Santo, Vitória, Brazil.,Health Sciences Center, University Hospital Cassiano Antônio de Moraes, Federal University of Espírito Santo, Vitória, Brazil.,Department of Radiology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.,BRAEN - Brazilian Research Group on Brain and Cognitive Engineering, Federal University of Espírito Santo, Vitória, Brazil
| | - Marcos Rosa
- Department of Internal Medicine, Health Sciences Center, Federal University of Espírito Santo, Vitória, Brazil
| | - Thaísa Malbar Rodrigues
- Department of Internal Medicine, Health Sciences Center, Federal University of Espírito Santo, Vitória, Brazil
| | - Thayssa Dalla Costa Escobar
- Health Sciences Center, University Hospital Cassiano Antônio de Moraes, Federal University of Espírito Santo, Vitória, Brazil.,BRAEN - Brazilian Research Group on Brain and Cognitive Engineering, Federal University of Espírito Santo, Vitória, Brazil
| | | | - Ester Miyuki Nakamura-Palacios
- BRAEN - Brazilian Research Group on Brain and Cognitive Engineering, Federal University of Espírito Santo, Vitória, Brazil.,Laboratory of Cognitive Sciences and Neuropsychopharmacology, Graduation Program in Physiological Sciences, Federal University of Espírito Santo, Vitória, Brazil
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15
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Cudalbu C, Cooper AJL. Editorial for the special issue on introduction to in vivo Magnetic Resonance Spectroscopy (MRS): A method to non-invasively study metabolism. Anal Biochem 2017; 529:1-3. [PMID: 28522309 DOI: 10.1016/j.ab.2017.05.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Cristina Cudalbu
- Centre d'Imagerie Biomedicale (CIBM), Ecole Polytechnique Fédérale de Lausanne (EPFL), EPFL-CIBM, Lausanne, Switzerland.
| | - Arthur J L Cooper
- Department of Biochemistry and Molecular Biology, New York Medical College, Valhalla, USA
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