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Toyonaga T, Khattar N, Wu Y, Lu Y, Naganawa M, Gallezot JD, Matuskey D, Mecca AP, Pittman B, Dias M, Nabulsi NB, Finnema SJ, Chen MK, Arnsten A, Radhakrishnan R, Skosnik PD, D'Souza DC, Esterlis I, Huang Y, van Dyck CH, Carson RE. The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [ 11C]UCB-J. Eur J Nucl Med Mol Imaging 2024; 51:1012-1022. [PMID: 37955791 DOI: 10.1007/s00259-023-06487-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/21/2023] [Indexed: 11/14/2023]
Abstract
PURPOSE Aging is a major societal concern due to age-related functional losses. Synapses are crucial components of neural circuits, and synaptic density could be a sensitive biomarker to evaluate brain function. [11C]UCB-J is a positron emission tomography (PET) ligand targeting synaptic vesicle glycoprotein 2A (SV2A), which can be used to evaluate brain synaptic density in vivo. METHODS We evaluated age-related changes in gray matter synaptic density, volume, and blood flow using [11C]UCB-J PET and magnetic resonance imaging (MRI) in a wide age range of 80 cognitive normal subjects (21-83 years old). Partial volume correction was applied to the PET data. RESULTS Significant age-related decreases were found in 13, two, and nine brain regions for volume, synaptic density, and blood flow, respectively. The prefrontal cortex showed the largest volume decline (4.9% reduction per decade: RPD), while the synaptic density loss was largest in the caudate (3.6% RPD) and medial occipital cortex (3.4% RPD). The reductions in caudate are consistent with previous SV2A PET studies and likely reflect that caudate is the site of nerve terminals for multiple major tracts that undergo substantial age-related neurodegeneration. There was a non-significant negative relationship between volume and synaptic density reductions in 16 gray matter regions. CONCLUSION MRI and [11]C-UCB-J PET showed age-related decreases of gray matter volume, synaptic density, and blood flow; however, the regional patterns of the reductions in volume and SV2A binding were different. Those patterns suggest that MR-based measures of GM volume may not be directly representative of synaptic density.
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Affiliation(s)
- Takuya Toyonaga
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
| | - Nikkita Khattar
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Yanjun Wu
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Yihuan Lu
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Mika Naganawa
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Jean-Dominique Gallezot
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - David Matuskey
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Adam P Mecca
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Alzheimer's Disease Research Unit, Yale University School of Medicine, New Haven, CT, USA
| | - Brian Pittman
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Mark Dias
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Nabeel B Nabulsi
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Sjoerd J Finnema
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Ming-Kai Chen
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Amy Arnsten
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University School of Medicine, New Haven, CT, USA
| | - Rajiv Radhakrishnan
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Patrick D Skosnik
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Bouvé College of Health Sciences, Northeastern University Schools of Nursing & Pharmacy/Pharmaceutical Sciences, Boston, MA, USA
| | - Deepak Cyril D'Souza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Irina Esterlis
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Yiyun Huang
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Christopher H van Dyck
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
- Alzheimer's Disease Research Unit, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Richard E Carson
- PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
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Kato H, Nakagawara J, Hachisuka K, Hatazawa J, Ikoma K, Suehiro E, Iida H, Ogasawara K, Iizuka O, Ishiai S, Ichikawa T, Nariai T, Okazaki T, Shiga T, Mori E. Impaired neuronal integrity in traumatic brain injury detected by 123I-iomazenil single photon emission computed tomography and MRI. J Cereb Blood Flow Metab 2022; 42:2245-2254. [PMID: 35796498 PMCID: PMC9670011 DOI: 10.1177/0271678x221113001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
This study was aiming at investigating the extent of neuronal damage in cases of traumatic brain injury (TBI) with diffuse axonal injury (DAI) using 123I-iomazenil(IMZ) SPECT and MRI. We compared the findings in 31 patients with TBI without any major focal brain lesions and 25 age-matched normal controls. Subjects underwent 123I-IMZ SPECT and MRI, and also assessment by cognitive function tests. The partial volume effect of 123I-IMZ SPECT was corrected using MRI. In the patients with TBI, decreased spatial concentration of 123I-IMZ binding was detected in the medial frontal/orbitofrontal cortex, posterior cingulate gyrus, cuneus, precuneus, and superior region of the cerebellum. ROC analysis of 123I-IMZ SPECT for the detection of neuronal injury showed a high diagnostic ability of 123I-IMZ binding density for TBI in these areas. The decreased 123I-IMZ uptake density in the cuneus and precuneus was associated with cognitive decline after the injury. In the patients with TBI, brain atrophy was detected in the frontal lobe, anterior temporal and parietal cortex, corpus callosum, and posterior part of the cerebellum. Evaluation of the neuronal integrity by 123I-IMZ SPECT and MRI provides important information for the diagnosis and pathological interpretation in cases of TBI with DAI.
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Affiliation(s)
- Hiroki Kato
- Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Jyoji Nakagawara
- Department of Neurosurgery, Nakamura Memorial Hospital, Sapporo, Japan
| | - Kenji Hachisuka
- Department of Rehabilitation Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Jun Hatazawa
- Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Katsunori Ikoma
- Department of Rehabilitation Medicine, Hokkaido University Hospital, Sapporo, Japan
| | - Eiichi Suehiro
- Department of Neurosurgery, Yamaguchi University School of Medicine, Ube, Japan
| | - Hidehiko Iida
- Department of Investigative Radiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Kuniaki Ogasawara
- Department of Neurosurgery, Iwate Medical University, Morioka, Japan
| | - Osamu Iizuka
- Department of Behavioral Neurology & Cognitive Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sumio Ishiai
- Department of Rehabilitation Medicine, Sapporo Medical University, Sapporo, Japan
| | - Tadashi Ichikawa
- Department of Neurology, Saitama Rehabilitation Center, Ageo, Japan
| | - Tadashi Nariai
- Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Tetsuya Okazaki
- Department of Rehabilitation Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Tohru Shiga
- Department of Diagnostic Imaging, Hokkaido University, Sapporo, Japan
| | - Etsuro Mori
- Department of Behavioral Neurology & Cognitive Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Japan
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Tobinaga M, Suzuki Y, Fujinaka H, Ozawa T, Nakajima T. Age-related increase in GABAA receptor distribution in the prefrontal cortex. J Clin Neurosci 2019; 64:106-110. [PMID: 30948309 DOI: 10.1016/j.jocn.2019.03.044] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 03/25/2019] [Indexed: 10/27/2022]
Abstract
Profound insight into age-related changes in γ-aminobutyric acid type A receptor (GABAA-R) distribution using iodine-123-iomazenil single photon emission computed tomography (IMZ-SPECT) can contribute to accurate in vivo evaluation. We evaluated the age-related changes in prefrontal cortex (PFC), which is the key region involved in various neurological and psychiatric diseases. In this study, IMZ-SPECT imaging data of 21 healthy males with an age range of 22-59 (mean, 38 ± 12) years were analyzed using three-dimensional stereotactic surface projection (3D-SSP). The Z-score images of the younger group (age < 40, n = 11) and the older group (age ≥ 40, n = 10) were compared. Subsequently, the mean RI-count ratios calculated for each Brodmann area (BA) by stereotactic extraction estimation method were compared between these groups. Thereafter, linear regression analysis between age and RI-count ratio was performed for all enrolled subjects. In the result, IMZ accumulation increased in bilateral BA10, 11, and the BA47 (left hemisphere) in the older group compared with the younger group. Furthermore, regression analysis demonstrated a significant positive correlation between age and RI-count ratio in these areas. Our findings indicate that GABAA-R distribution in the PFC relatively increases with age. Therefore, we concluded that the age-related changes should be considered to accurately evaluate pathophysiology of neurological and psychiatric diseases.
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Affiliation(s)
- Masanobu Tobinaga
- Department of Neurology, Niigata National Hospital, National Hospital Organization, Kashiwazaki, Niigata, Japan; Department of Neurology, Brain Research Institute, Niigata University Graduate School of Medicine, Niigata, Niigata, Japan
| | - Yuji Suzuki
- Department of Pediatrics, Niigata National Hospital, National Hospital Organization, Kashiwazaki, Niigata, Japan; Center for Integrated Human Science, Brain Research Institute, University of Niigata, Niigata, Japan.
| | - Hidehiko Fujinaka
- Department of Pediatrics, Niigata National Hospital, National Hospital Organization, Kashiwazaki, Niigata, Japan; Department of Clinical Research, Niigata National Hospital, National Hospital Organization, Kashiwazaki, Niigata, Japan
| | - Tetsuo Ozawa
- Department of Internal Medicine, Niigata National Hospital, National Hospital Organization, Kashiwazaki, Niigata, Japan
| | - Takashi Nakajima
- Department of Neurology, Niigata National Hospital, National Hospital Organization, Kashiwazaki, Niigata, Japan
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Kato H, Shimosegawa E, Fujino K, Hatazawa J. CT-Based Attenuation Correction in Brain SPECT/CT Can Improve the Lesion Detectability of Voxel-Based Statistical Analyses. PLoS One 2016; 11:e0159505. [PMID: 27442256 PMCID: PMC4956081 DOI: 10.1371/journal.pone.0159505] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2016] [Accepted: 07/05/2016] [Indexed: 11/24/2022] Open
Abstract
Background Integrated SPECT/CT enables non-uniform attenuation correction (AC) using built-in CT instead of the conventional uniform AC. The effect of CT-based AC on voxel-based statistical analyses of brain SPECT findings has not yet been clarified. Here, we assessed differences in the detectability of regional cerebral blood flow (CBF) reduction using SPECT voxel-based statistical analyses based on the two types of AC methods. Subjects and Methods N-isopropyl-p-[123I]iodoamphetamine (IMP) CBF SPECT images were acquired for all the subjects and were reconstructed using 3D-OSEM with two different AC methods: Chang’s method (Chang’s AC) and the CT-based AC method. A normal database was constructed for the analysis using SPECT findings obtained for 25 healthy normal volunteers. Voxel-based Z-statistics were also calculated for SPECT findings obtained for 15 patients with chronic cerebral infarctions and 10 normal subjects. We assumed that an analysis with a higher specificity would likely produce a lower mean absolute Z-score for normal brain tissue, and a more sensitive voxel-based statistical analysis would likely produce a higher absolute Z-score for in old infarct lesions, where the CBF was severely decreased. Results The inter-subject variation in the voxel values in the normal database was lower using CT-based AC, compared with Chang’s AC, for most of the brain regions. The absolute Z-score indicating a SPECT count reduction in infarct lesions was also significantly higher in the images reconstructed using CT-based AC, compared with Chang’s AC (P = 0.003). The mean absolute value of the Z-score in the 10 intact brains was significantly lower in the images reconstructed using CT-based AC than in those reconstructed using Chang’s AC (P = 0.005). Conclusions Non-uniform CT-based AC by integrated SPECT/CT significantly improved sensitivity and the specificity of the voxel-based statistical analyses for regional SPECT count reductions, compared with conventional uniform Chang's AC.
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Affiliation(s)
- Hiroki Kato
- Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
- * E-mail:
| | - Eku Shimosegawa
- Department of Molecular Imaging of Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Koichi Fujino
- Department of Radiology, Osaka University Hospital, Suita, Osaka, Japan
| | - Jun Hatazawa
- Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
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