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Lin L, Fu Z, Wu Y, Wu S. Voluntary wheel running delays brain atrophy in aged mice. Technol Health Care 2019; 27:175-184. [PMID: 31045537 PMCID: PMC6598028 DOI: 10.3233/thc-199017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND: Physical exercises have been shown to be a surprisingly effective strategy to take advantage of the brain’s natural capacity for plasticity, and prevent brain degeneration in mouse histological studies. In vivo magnetic resonance microscopy (MRM) provides highly resolved anatomical images and allows quantitative assessment of brain atrophy in the aged mouse model. OBJECTIVE: The aim of the present study was to investigate, through the effects of 10 weeks voluntary wheel running, the mouse’s brain atrophy. METHODS: Sixteen C57BL/6J mice, aged 21 months, were randomized to the exercise or sedentary group. Each mouse was scanned in a 7.0-T MRM scanner at two time points: 22 months old baseline and a follow-up three months later. Multi-atlas based brain segmentation approach was used to obtain volumes of 39 brain regions. RESULTS: The results showed that mice in the exercise group had less brain atrophy compared with the mice in the sedentary group. CONCLUSIONS: The results provide new insights into exercise induced brain plasticity in aged animals.
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Affiliation(s)
- Lan Lin
- Corresponding author: Lan Lin, Biomedical Engineering Department, College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. Tel.: +86 10 67391610; Fax: +86 10 67391610; E-mail:
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Bajic D, Craig MM, Mongerson CRL, Borsook D, Becerra L. Identifying Rodent Resting-State Brain Networks with Independent Component Analysis. Front Neurosci 2017; 11:685. [PMID: 29311770 PMCID: PMC5733053 DOI: 10.3389/fnins.2017.00685] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 11/22/2017] [Indexed: 01/08/2023] Open
Abstract
Rodent models have opened the door to a better understanding of the neurobiology of brain disorders and increased our ability to evaluate novel treatments. Resting-state functional magnetic resonance imaging (rs-fMRI) allows for in vivo exploration of large-scale brain networks with high spatial resolution. Its application in rodents affords researchers a powerful translational tool to directly assess/explore the effects of various pharmacological, lesion, and/or disease states on known neural circuits within highly controlled settings. Integration of animal and human research at the molecular-, systems-, and behavioral-levels using diverse neuroimaging techniques empowers more robust interrogations of abnormal/ pathological processes, critical for evolving our understanding of neuroscience. We present a comprehensive protocol to evaluate resting-state brain networks using Independent Component Analysis (ICA) in rodent model. Specifically, we begin with a brief review of the physiological basis for rs-fMRI technique and overview of rs-fMRI studies in rodents to date, following which we provide a robust step-by-step approach for rs-fMRI investigation including data collection, computational preprocessing, and brain network analysis. Pipelines are interwoven with underlying theory behind each step and summarized methodological considerations, such as alternative methods available and current consensus in the literature for optimal results. The presented protocol is designed in such a way that investigators without previous knowledge in the field can implement the analysis and obtain viable results that reliably detect significant differences in functional connectivity between experimental groups. Our goal is to empower researchers to implement rs-fMRI in their respective fields by incorporating technical considerations to date into a workable methodological framework.
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Affiliation(s)
- Dusica Bajic
- Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, United States.,Center for Pain and the Brain, Boston Children's Hospital, Boston, MA, United States.,Department of Anaesthesia, Harvard Medical School, Harvard University, Boston, MA, United States
| | - Michael M Craig
- Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, United States.,Center for Pain and the Brain, Boston Children's Hospital, Boston, MA, United States
| | - Chandler R L Mongerson
- Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, United States.,Center for Pain and the Brain, Boston Children's Hospital, Boston, MA, United States
| | - David Borsook
- Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, United States.,Center for Pain and the Brain, Boston Children's Hospital, Boston, MA, United States.,Department of Anaesthesia, Harvard Medical School, Harvard University, Boston, MA, United States
| | - Lino Becerra
- Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, United States.,Center for Pain and the Brain, Boston Children's Hospital, Boston, MA, United States.,Department of Anaesthesia, Harvard Medical School, Harvard University, Boston, MA, United States
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FU ZHENRONG, LIN LAN, TIAN MIAO, WANG JINGXUAN, ZHANG BAIWEN, CHU PINGPING, LI SHAOWU, PATHAN MUHAMMADMOHSIN, DENG YULIN, WU SHUICAI. Evaluation of five diffeomorphic image registration algorithms for mouse brain magnetic resonance microscopy. J Microsc 2017; 268:141-154. [DOI: 10.1111/jmi.12594] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 05/10/2017] [Accepted: 05/29/2017] [Indexed: 12/12/2022]
Affiliation(s)
- ZHENRONG FU
- Biomedical Engineering Department; College of Life Science and Bioengineering; Beijing University of Technology; Beijing China
| | - LAN LIN
- Biomedical Engineering Department; College of Life Science and Bioengineering; Beijing University of Technology; Beijing China
| | - MIAO TIAN
- Biomedical Engineering Department; College of Life Science and Bioengineering; Beijing University of Technology; Beijing China
| | - JINGXUAN WANG
- Biomedical Engineering Department; College of Life Science and Bioengineering; Beijing University of Technology; Beijing China
| | - BAIWEN ZHANG
- Biomedical Engineering Department; College of Life Science and Bioengineering; Beijing University of Technology; Beijing China
| | - PINGPING CHU
- School of Life Science; Beijing Institute of Technology; Beijing China
| | - SHAOWU LI
- Neuroimaging Centre; Beijing Neurosurgical Institute; Beijing China
| | - MUHAMMAD MOHSIN PATHAN
- Biomedical Engineering Department; College of Life Science and Bioengineering; Beijing University of Technology; Beijing China
| | - YULIN DENG
- School of Life Science; Beijing Institute of Technology; Beijing China
| | - SHUICAI WU
- Biomedical Engineering Department; College of Life Science and Bioengineering; Beijing University of Technology; Beijing China
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Hikishima K, Ando K, Komaki Y, Kawai K, Yano R, Inoue T, Itoh T, Yamada M, Momoshima S, Okano HJ, Okano H. Voxel-based morphometry of the marmoset brain: In vivo detection of volume loss in the substantia nigra of the MPTP-treated Parkinson's disease model. Neuroscience 2015; 300:585-92. [PMID: 26012491 DOI: 10.1016/j.neuroscience.2015.05.041] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2015] [Revised: 05/14/2015] [Accepted: 05/16/2015] [Indexed: 11/30/2022]
Abstract
Movement dysfunction in Parkinson's disease (PD) is caused by the degeneration of dopaminergic (DA) neurons in the substantia nigra (SN). Here, we established a method for voxel-based morphometry (VBM) and automatic tissue segmentation of the marmoset monkey brain using a 7-T animal scanner and applied the method to assess DA degeneration in a PD model, 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated animals, with tyrosine-hydroxylase staining. The most significant decreases of local tissue volume were detected in the bilateral SN of MPTP-treated marmoset brains (-53.0% in right and -46.5% in left) and corresponded with the location of DA neurodegeneration found in histology (-65.4% in right). In addition to the SN, the decreases were also confirmed in the locus coeruleus, and lateral hypothalamus. VBM using 7-T MRI was effective in detecting volume loss in the SN of the PD-model marmoset. This study provides a potential basis for the application of VBM with ultra-high field MRI in the clinical diagnosis of PD. The developed method may also offer value in automatic whole-brain evaluation of structural changes for the marmoset monkey.
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Affiliation(s)
- K Hikishima
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan; Central Institute for Experimental Animals, Kawasaki, Japan
| | - K Ando
- Central Institute for Experimental Animals, Kawasaki, Japan
| | - Y Komaki
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan; Central Institute for Experimental Animals, Kawasaki, Japan
| | - K Kawai
- Central Institute for Experimental Animals, Kawasaki, Japan
| | - R Yano
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - T Inoue
- Central Institute for Experimental Animals, Kawasaki, Japan
| | - T Itoh
- Central Institute for Experimental Animals, Kawasaki, Japan
| | - M Yamada
- Faculty of Radiological Technology, Fujita Health University School of Health Sciences, Toyoake, Japan
| | - S Momoshima
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan
| | - H J Okano
- Division of Regenerative Medicine, Jikei University School of Medicine, Tokyo, Japan
| | - H Okano
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan; Laboratory for Marmoset Neural Architecture, Brain Science Institute RIKEN, Wako, Japan.
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Lin L, Fu Z, Xu X, Wu S. Mouse brain magnetic resonance microscopy: Applications in Alzheimer disease. Microsc Res Tech 2015; 78:416-24. [PMID: 25810274 DOI: 10.1002/jemt.22489] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 02/23/2015] [Indexed: 01/26/2023]
Abstract
Over the past two decades, various Alzheimer's disease (AD) trangenetic mice models harboring genes with mutation known to cause familial AD have been created. Today, high-resolution magnetic resonance microscopy (MRM) technology is being widely used in the study of AD mouse models. It has greatly facilitated and advanced our knowledge of AD. In this review, most of the attention is paid to fundamental of MRM, the construction of standard mouse MRM brain template and atlas, the detection of amyloid plaques, following up on brain atrophy and the future applications of MRM in transgenic AD mice. It is believed that future testing of potential drugs in mouse models with MRM will greatly improve the predictability of drug effect in preclinical trials.
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Affiliation(s)
- Lan Lin
- Biomedical Engineering Department, College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
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