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da S Senra Filho AC, Murta Junior LO, Monteiro Paschoal A. Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis. MAGMA (NEW YORK, N.Y.) 2024:10.1007/s10334-024-01185-4. [PMID: 39068635 DOI: 10.1007/s10334-024-01185-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/24/2024] [Accepted: 06/28/2024] [Indexed: 07/30/2024]
Abstract
OBJECT Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are well-known and powerful imaging techniques for MRI. Although DTI evaluation has evolved continually in recent years, there are still struggles regarding quantitative measurements that can benefit brain areas that are consistently difficult to measure via diffusion-based methods, e.g., gray matter (GM). The present study proposes a new image processing technique based on diffusion distribution evaluation of López-Ruiz, Mancini and Calbet (LMC) complexity called diffusion complexity (DC). MATERIALS AND METHODS The OASIS-3 and TractoInferno open-science databases for healthy individuals were used, and all the codes are provided as open-source materials. RESULTS The DC map showed relevant signal characterization in brain tissues and structures, achieving contrast-to-noise ratio (CNR) gains of approximately 39% and 93%, respectively, compared to those of the FA and ADC maps. DISCUSSION In the special case of GM tissue, the DC map obtains its maximum signal level, showing the possibility of studying cortical and subcortical structures challenging for classical DTI quantitative formalism. The ability to apply the DC technique, which requires the same imaging acquisition for DTI and its potential to provide complementary information to study the brain's GM structures, can be a rich source of information for further neuroscience research and clinical practice.
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Kang K, Fleming K, Sathe A, Muller J, Harrop J, Middleton D, Heller J, Sharan A, Mohamed F, Krisa L, Alizadeh M. Microstructural alterations of major thalamic nuclei in the chronic pediatric spinal cord injured population. World Neurosurg X 2024; 21:100268. [PMID: 38187507 PMCID: PMC10767188 DOI: 10.1016/j.wnsx.2023.100268] [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: 01/21/2023] [Revised: 07/12/2023] [Accepted: 11/28/2023] [Indexed: 01/09/2024] Open
Abstract
Background The brain undergoes reorganization following spinal cord injury (SCI), but little is known about how the thalamus is affected in pediatric SCIs. Purpose To characterize microstructural alterations in the thalamus after SCI with diffusion tensor imaging (DTI) metrics. Methods 18 pediatric participants with chronic SCI (8-20 years) were stratified using the American Spinal Injury Association Impairment Scale (AIS) into groups: A, B, and C/D. DTI of the brain used a 3 T Siemens Verio MRI using the parameters: 20 directions, number of averages = 3, b = 1000 s/mm2, voxel size = 1.8 mm × 1.8 mm, slice thickness = 5 mm, TE = 95 ms, TR = 4300 ms, 30 slices, FOV = 230 × 230 mm2, matrix = 128 × 128, acquisition time = 4:45 min. Diffusion data was processed to generate DTI metrics FA, MD, AD, and RD. Data analysis DTI metrics were acquired by superimposing the AAL3 thalamic atlas onto participant diffusion images registered to MNI152 space. We utilized a multiple Mann-Whitney U-test to compare between AIS groups, considering values of p ≤ 0.05 as significant. Results FA, AD, RD, and MD significantly differed in thalamic nuclei between AIS groups A vs B and B vs C/D. Significant nuclei include the right ventral anterior, left intralaminar, bilateral lateral pulvinar, and right lateral geniculate. Conclusion Our findings suggest the presence of microstructural alterations based on SCI severity in pediatric patients. These results are encouraging and warrant further study.
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Affiliation(s)
- K. Kang
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, 909 Walnut St., Philadelphia, PA, 19107, USA
| | - K. Fleming
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, 909 Walnut St., Philadelphia, PA, 19107, USA
| | - A. Sathe
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, 909 Walnut St., Philadelphia, PA, 19107, USA
| | - J. Muller
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, 909 Walnut St., Philadelphia, PA, 19107, USA
| | - J. Harrop
- Department of Neurosurgery, Thomas Jefferson University, 909 Walnut Street, 2nd Floor, Philadelphia, PA, 19107, USA
| | - D. Middleton
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, 909 Walnut St., Philadelphia, PA, 19107, USA
| | - J.E. Heller
- Department of Neurosurgery, Thomas Jefferson University, 909 Walnut Street, 2nd Floor, Philadelphia, PA, 19107, USA
| | - A. Sharan
- Department of Neurosurgery, Thomas Jefferson University, 909 Walnut Street, 2nd Floor, Philadelphia, PA, 19107, USA
| | - F. Mohamed
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, 909 Walnut St., Philadelphia, PA, 19107, USA
| | - L. Krisa
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, 909 Walnut St., Philadelphia, PA, 19107, USA
| | - M. Alizadeh
- Department of Neurosurgery, Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, 909 Walnut St., Philadelphia, PA, 19107, USA
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Shih YC, Ooi LQR, Li HH, Allen JC, Hartono S, Welton T, Tan EK, Chan LL. Serial deep gray nuclear DTI changes in Parkinson's disease over twelve years. Front Aging Neurosci 2023; 15:1169254. [PMID: 37409008 PMCID: PMC10318173 DOI: 10.3389/fnagi.2023.1169254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 05/30/2023] [Indexed: 07/07/2023] Open
Abstract
Background Deep gray nuclear pathology relates to motor deterioration in idiopathic Parkinson's disease (PD). Inconsistent deep nuclear diffusion tensor imaging (DTI) findings in cross-sectional or short-term longitudinal studies have been reported. Long-term studies in PD are clinically challenging; decade-long deep nuclear DTI data are nonexistent. We investigated serial DTI changes and clinical utility in a case-control PD cohort of 149 subjects (72 patients/77 controls) over 12 years. Methods Participating subjects underwent brain MRI at 1.5T; DTI metrics from segmented masks of caudate, putamen, globus pallidus and thalamus were extracted from three timepoints with 6-year gaps. Patients underwent clinical assessment, including Unified Parkinson Disease Rating Scale Part 3 (UPDRS-III) and Hoehn and Yahr (H&Y) staging. A multivariate linear mixed-effects regression model with adjustments for age and gender was used to assess between-group differences in DTI metrics at each timepoint. Partial Pearson correlation analysis was used to correlate clinical motor scores with DTI metrics over time. Results MD progressively increased over time and was higher in the putamen (p < 0.001) and globus pallidus (p = 0.002). FA increased (p < 0.05) in the thalamus at year six, and decreased in the putamen and globus pallidus at year 12. Putaminal (p = 0.0210), pallidal (p = 0.0066) and caudate MD (p < 0.0001) correlated with disease duration. Caudate MD (p < 0.05) also correlated with UPDRS-III and H&Y scores. Conclusion Pallido-putaminal MD showed differential neurodegeneration in PD over 12 years on longitudinal DTI; putaminal and thalamic FA changes were complex. Caudate MD could serve as a surrogate marker to track late PD progression.
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Affiliation(s)
- Yao-Chia Shih
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Graduate Institute of Medicine, Yuan Ze University, Taoyuan City, Taiwan
| | - Leon Qi Rong Ooi
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Hui-Hua Li
- Duke-NUS Medical School, Singapore, Singapore
- Health Services Research Unit, Singapore General Hospital, Singapore, Singapore
| | | | - Septian Hartono
- Duke-NUS Medical School, Singapore, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Thomas Welton
- Duke-NUS Medical School, Singapore, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Eng-King Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Ling Ling Chan
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
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4
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Ailes I, Syed M, Matias CM, Krisa L, Miao J, Sathe A, Fayed I, Alhussein A, Natale P, Mohamed FB, Talekar K, Alizadeh M. Case report: Utilizing diffusion-weighted MRI on a patient with chronic low back pain treated with spinal cord stimulation. FRONTIERS IN NEUROIMAGING 2023; 2:1137848. [PMID: 37554655 PMCID: PMC10406238 DOI: 10.3389/fnimg.2023.1137848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 04/20/2023] [Indexed: 08/10/2023]
Abstract
Diffusion-weighted magnetic resonance imaging (dwMRI) has increasingly demonstrated greater utility in analyzing neuronal microstructure. In patients with chronic low back pain (cLBP), using dwMRI to observe neuronal microstructure can lead to non-invasive biomarkers which could provide clinicians with an objective quantitative prognostic tool. In this case report, we investigated dwMRI for the development of non-invasive biomarkers by conducting a region-based analysis of a 55-year-old male patient with failed back surgery syndrome (FBSS) treated with spinal cord stimulation (SCS). We hypothesized that dwMRI could safely generate quantitative data reflecting cerebral microstructural alterations driven by neuromodulation. Neuroimaging was performed at 6- and 12- months post-SCS implantation. The quantitative maps generated included diffusion tensor imaging (DTI) parameters; fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD) computed from whole brain tractography. To examine specific areas of the brain, 44 regions of interest (ROIs), collectively representing the pain NeuroMatrix, were extracted and registered to the patient's diffusion space. Average diffusion indices were calculated from the ROIs at both 6- and 12- months. Regions with >10% relative change in at least 3 of the 4 maps were reported. Using this selection criterion, 8 ROIs demonstrated over 10% relative changes. These ROIs were mainly located in the insular gyri. In addition to the quantitative data, a series of questionnaires were administered during the 6- and 12-month visits to assess pain intensity, functional disability, and quality of life. Overall improvements were observed in these components, with the Pain Catastrophizing Scale (PCS) displaying the greatest change. Lastly, we demonstrated the safety of dwMRI for a patient with SCS. In summary, the results from the case report prompt further investigation in applying dwMRI in a larger cohort to better correlate the influence of SCS with brain microstructural alterations, supporting the utility of dwMRI to generate non-invasive biomarkers for prognostication.
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Affiliation(s)
- Isaiah Ailes
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States
| | - Mashaal Syed
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Caio M. Matias
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Laura Krisa
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
- Department of Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, United States
| | - Jingya Miao
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA, United States
| | - Anish Sathe
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States
| | - Islam Fayed
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Abdulaziz Alhussein
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States
| | - Peter Natale
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Feroze B. Mohamed
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Kiran Talekar
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Mahdi Alizadeh
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
- Jefferson Integrated Magnetic Resonance Imaging Center (JIMRIC), Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
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5
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Diffusion-Weighted Imaging in Mild Traumatic Brain Injury: A Systematic Review of the Literature. Neuropsychol Rev 2023; 33:42-121. [PMID: 33721207 DOI: 10.1007/s11065-021-09485-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 02/09/2021] [Indexed: 12/14/2022]
Abstract
There is evidence that diffusion-weighted imaging (DWI) is able to detect tissue alterations following mild traumatic brain injury (mTBI) that may not be observed on conventional neuroimaging; however, findings are often inconsistent between studies. This systematic review assesses patterns of differences in DWI metrics between those with and without a history of mTBI. A PubMed literature search was performed using relevant indexing terms for articles published prior to May 14, 2020. Findings were limited to human studies using DWI in mTBI. Articles were excluded if they were not full-length, did not contain original data, if they were case studies, pertained to military populations, had inadequate injury severity classification, or did not report post-injury interval. Findings were reported independently for four subgroups: acute/subacute pediatric mTBI, acute/subacute adult mTBI, chronic adult mTBI, and sport-related concussion, and all DWI acquisition and analysis methods used were included. Patterns of findings between studies were reported, along with strengths and weaknesses of the current state of the literature. Although heterogeneity of sample characteristics and study methods limited the consistency of findings, alterations in DWI metrics were most commonly reported in the corpus callosum, corona radiata, internal capsule, and long association pathways. Many acute/subacute pediatric studies reported higher FA and lower ADC or MD in various regions. In contrast, acute/subacute adult studies most commonly indicate lower FA within the context of higher MD and RD. In the chronic phase of recovery, FA may remain low, possibly indicating overall demyelination or Wallerian degeneration over time. Longitudinal studies, though limited, generally indicate at least a partial normalization of DWI metrics over time, which is often associated with functional improvement. We conclude that DWI is able to detect structural mTBI-related abnormalities that may persist over time, although future DWI research will benefit from larger samples, improved data analysis methods, standardized reporting, and increasing transparency.
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Zachariou V, Bauer CE, Pappas C, Gold BT. High cortical iron is associated with the disruption of white matter tracts supporting cognitive function in healthy older adults. Cereb Cortex 2022; 33:4815-4828. [PMID: 36182267 PMCID: PMC10110441 DOI: 10.1093/cercor/bhac382] [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: 07/11/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 01/25/2023] Open
Abstract
Aging is associated with brain iron accumulation, which has been linked to cognitive decline. However, how brain iron affects the structure and function of cognitive brain networks remains unclear. Here, we explored the possibility that iron load in gray matter is associated with disruption of white matter (WM) microstructure within a network supporting cognitive function, in a cohort of 95 cognitively normal older adults (age range: 60-86). Functional magnetic resonance imaging was used to localize a set of brain regions involved in working memory and diffusion tensor imaging based probabilistic tractography was used to identify a network of WM tracts connecting the functionally defined regions. Brain iron concentration within these regions was evaluated using quantitative susceptibility mapping and microstructural properties were assessed within the identified tracts using neurite orientation dispersion and density imaging. Results indicated that high brain iron concentration was associated with low neurite density (ND) within the task-relevant WM network. Further, regional associations were observed such that brain iron in cortical regions was linked with lower ND in neighboring but not distant WM tracts. Our results provide novel evidence suggesting that age-related increases in brain iron concentration are associated with the disruption of WM tracts supporting cognitive function in normal aging.
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Affiliation(s)
- Valentinos Zachariou
- Department of Neuroscience, University of Kentucky, Lexington, KY 40536-0298, United States.,College of Medicine, University of Kentucky, Lexington, KY 40536-0298, United States
| | - Christopher E Bauer
- Department of Neuroscience, University of Kentucky, Lexington, KY 40536-0298, United States.,College of Medicine, University of Kentucky, Lexington, KY 40536-0298, United States
| | - Colleen Pappas
- Department of Neuroscience, University of Kentucky, Lexington, KY 40536-0298, United States.,College of Medicine, University of Kentucky, Lexington, KY 40536-0298, United States
| | - Brian T Gold
- Department of Neuroscience, University of Kentucky, Lexington, KY 40536-0298, United States.,College of Medicine, University of Kentucky, Lexington, KY 40536-0298, United States.,Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536-0298, United States.,Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY 40536-0298, United States
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7
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Rong Y, Xu Z, Zhu Y, Zhang X, Lai L, Sun S, Gao M, Guo P, Zhang G, Geng Y, Ma X, Wu S, Yang L, Shen Z, Guan J. Combination of Quantitative Susceptibility Mapping and Diffusion Kurtosis Imaging Provides Potential Biomarkers for Early-Stage Parkinson's Disease. ACS Chem Neurosci 2022; 13:2699-2708. [PMID: 36047877 DOI: 10.1021/acschemneuro.2c00321] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Purpose: This study aimed to detect changes in iron deposition and neural microstructure in the substantia nigra (SN), red nucleus (RN), and basal ganglia of Parkinson's disease (PD) patients at different stages using quantitative susceptibility mapping and diffusion kurtosis imaging to identify potential indicators of early-stage PD. Methods: We enrolled 20 early-stage and 15 late-stage PD patients, as well as 20 age- and sex-matched controls. All participants underwent quantitative susceptibility mapping and diffusion kurtosis imaging to determine magnetic susceptibility (MS), fractional anisotropy (FA), mean diffusivity (MD), and mean kurtosis (MK) in several brain regions. Results: Compared with the control group, MS and MK values in the SN were significantly increased in the early- and late-stage PD group, whereas MS values in the red nucleus (RN), globus pallidus (GP), and caudate nucleus (CN), FA value in the CN and GP, and MK value in the CN and putamen (PU) were significantly increased in the late-stage PD group. There were positive correlations between MS and MK values in the CN and MS and FA values in the GP. Furthermore, the combination of MS and MK values in the SN provided high accuracy for distinguishing early-stage PD patients from controls. Conclusions: This study identified MS and MK in the SN as potential indicators of early-stage PD.
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Affiliation(s)
- Yunjie Rong
- Department of Ultrasound, Foshan Women and Children's Hospital Affiliated to Southern Medical University, Foshan 528000, China
| | - Zhifeng Xu
- Department of Radiology, The First People's Hospital of Foshan, Foshan 528041, China
| | - Ye Zhu
- Department of Radiology, The First People's Hospital of Foshan, Foshan 528041, China
| | - Xianhai Zhang
- Department of Radiology, The First People's Hospital of Foshan, Foshan 528041, China
| | - Lingfeng Lai
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China
| | - Shuyi Sun
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China
| | - Mingyong Gao
- Department of Radiology, The First People's Hospital of Foshan, Foshan 528041, China
| | - Pi Guo
- Laboratory of Statistics, Shantou University Medical College, Shantou 515041, China
| | - Guohua Zhang
- Department of Neurology, The First People's Hospital of Foshan, Foshan 528041, China
| | - Yiqun Geng
- Laboratory of Molecular Pathology, Shantou University Medical College, Shantou 515041, China
- Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou 515041, Guangdong, China
| | - Xilun Ma
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou 515000, China
| | - Shuohua Wu
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China
| | - Lin Yang
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China
| | | | - Jitian Guan
- Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China
- Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou 515041, Guangdong, China
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8
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Tan S, Hartono S, Welton T, Ann CN, Lim SL, Koh TS, Li H, Setiawan F, Ng S, Chia N, Liu S, Mark Haacke E, King Tan E, Chew Seng Tan L, Ling Chan L. Utility of quantitative susceptibility mapping and diffusion kurtosis imaging in the diagnosis of early Parkinson's disease. NEUROIMAGE-CLINICAL 2021; 32:102831. [PMID: 34619654 PMCID: PMC8503579 DOI: 10.1016/j.nicl.2021.102831] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 09/16/2021] [Accepted: 09/18/2021] [Indexed: 01/19/2023]
Abstract
Putamen susceptibility value was higher in PD than controls one year into diagnosis. Putamen susceptibility value was associated with clinical motor scores in early PD. Mean diffusivity revealed greater cellular loss in the lateral substantial nigra. Putamen and caudate microstructural degradation were driven by radial diffusivity. A composite putamen-caudate DKI-QSM marker classified early PD from controls.
Objective To investigate the utility of quantitative susceptibility mapping (QSM) and diffusion kurtosis imaging (DKI) as complementary tools in characterizing pathological changes in the deep grey nuclei in early Parkinson’s disease (PD) and their clinical correlates to aid in diagnosis of PD. Method Patients with a diagnosis of PD made within a year and age-matched healthy controls were recruited. All participants underwent clinical evaluation using the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS III) and Hoehn & Yahr stage (H&Y), and brain 3 T MRI including QSM and DKI. Regions-of-interest (ROIs) in the caudate nucleus, putamen, globus pallidus, and medial and lateral substantia nigra (SN) were manually drawn to compare the mean susceptibility (representing iron deposition) and DKI indices (representing restricted water diffusion) between PD patients and healthy controls and in correlation with MDS-UPDRS III and H&Y, focusing on susceptibility value, mean diffusivity (MD) and mean kurtosis (MK). Results There were forty-seven PD patients (aged 68.7 years, 51% male, disease duration 0.78 years) and 16 healthy controls (aged 67.4 years, 63% male). Susceptibility value was increased in PD in all ROIs except the caudate, and was significantly different after multiple comparison correction in the putamen (PD: 64.75 ppb, HC: 44.61 ppb, p = 0.004). MD was significantly higher in PD in the lateral SN, putamen and caudate, the regions with the lowest susceptibility value. In PD patients, we found significant association between the MDS-UPDRS III score and susceptibility value in the putamen after correcting for age and sex (β = 0.21, p = 0.003). A composite DKI-QSM diagnostic marker based on these findings successfully differentiated the groups (p < 0.0001) and had “good” classification performance (AUC = 0.88). Conclusions QSM and DKI are complementary tools allowing a better understanding of the complex contribution of iron deposition and microstructural changes in the pathophysiology of PD.
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Affiliation(s)
- Samantha Tan
- Singapore General Hospital, Singapore, Singapore
| | - Septian Hartono
- National Neuroscience Institute, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Thomas Welton
- National Neuroscience Institute, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Chu Ning Ann
- Singapore General Hospital, Singapore, Singapore; National Neuroscience Institute, Singapore, Singapore
| | - Soo Lee Lim
- Singapore General Hospital, Singapore, Singapore; National Heart Centre Singapore, Singapore, Singapore
| | - Tong San Koh
- Duke-NUS Graduate Medical School, Singapore, Singapore; National Cancer Centre Singapore, Singapore, Singapore
| | - Huihua Li
- Singapore General Hospital, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | | | - Samuel Ng
- National Neuroscience Institute, Singapore, Singapore
| | - Nicole Chia
- National Neuroscience Institute, Singapore, Singapore
| | - Saifeng Liu
- MRI Institute for Biomedical Research, Bingham Farms, MI, USA
| | - E Mark Haacke
- MRI Institute for Biomedical Research, Bingham Farms, MI, USA; Wayne State University, Detroit, MI, USA
| | - Eng King Tan
- National Neuroscience Institute, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Louis Chew Seng Tan
- National Neuroscience Institute, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Ling Ling Chan
- Singapore General Hospital, Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore, Singapore.
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9
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Grassi DC, Zaninotto AL, Feltrin FS, Macruz FBC, Otaduy MCG, Leite CC, Guirado VMP, Paiva WS, Santos Andrade C. Dynamic changes in white matter following traumatic brain injury and how diffuse axonal injury relates to cognitive domain. Brain Inj 2021; 35:275-284. [PMID: 33507820 DOI: 10.1080/02699052.2020.1859615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Objective: The goal is to evaluate longitudinally with diffusion tensor imaging (DTI) the integrity of cerebral white matter in patients with moderate and severe DAI and to correlate the DTI findings with cognitive deficits.Methods: Patients with DAI (n = 20) were scanned at three timepoints (2, 6 and 12 months) after trauma. A healthy control group (n = 20) was evaluated once with the same high-field MRI scanner. The corpus callosum (CC) and the bilateral superior longitudinal fascicles (SLFs) were assessed by deterministic tractography with ExploreDTI. A neuropschychological evaluation was also performed.Results: The CC and both SLFs demonstrated various microstructural abnormalities in between-groups comparisons. All DTI parameters demonstrated changes across time in the body of the CC, while FA (fractional anisotropy) increases were seen on both SLFs. In the splenium of the CC, progressive changes in the mean diffusivity (MD) and axial diffusivity (AD) were also observed. There was an improvement in attention and memory along time. Remarkably, DTI parameters demonstrated several correlations with the cognitive domains.Conclusions: Our findings suggest that microstructural changes in the white matter are dynamic and may be detectable by DTI throughout the first year after trauma. Likewise, patients also demonstrated improvement in some cognitive skills.
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Affiliation(s)
- Daphine Centola Grassi
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Ana Luiza Zaninotto
- Speech and Feeding Disorders Lab, MGH Institute of Health Professions (MGHIHP), Boston, Massachusetts, USA.,Department of Neurology, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Fabrício Stewan Feltrin
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Fabíola Bezerra Carvalho Macruz
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Maria Concepción García Otaduy
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Claudia Costa Leite
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | | | - Wellingson Silva Paiva
- Department of Neurology, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Celi Santos Andrade
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
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10
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Prasuhn J, Heldmann M, Münte TF, Brüggemann N. A machine learning-based classification approach on Parkinson's disease diffusion tensor imaging datasets. Neurol Res Pract 2020; 2:46. [PMID: 33324945 PMCID: PMC7654034 DOI: 10.1186/s42466-020-00092-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 10/26/2020] [Indexed: 12/18/2022] Open
Abstract
Introduction The presence of motor signs and symptoms in Parkinson’s disease (PD) is the result of a long-lasting prodromal phase with an advancing neurodegenerative process. The identification of PD patients in an early phase is, however, crucial for developing disease-modifying drugs. The objective of our study is to investigate whether Diffusion Tensor Imaging (DTI) of the Substantia nigra (SN) analyzed by machine learning algorithms (ML) can be used to identify PD patients. Methods Our study proposes the use of computer-aided algorithms and a highly reproducible approach (in contrast to manually SN segmentation) to increase the reliability and accuracy of DTI metrics used for classification. Results The results of our study do not confirm the feasibility of the DTI approach, neither on a whole-brain level, ROI-labelled analyses, nor when focusing on the SN only. Conclusions Our study did not provide any evidence to support the hypothesis that DTI-based analysis, in particular of the SN, could be used to identify PD patients correctly.
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Affiliation(s)
- Jannik Prasuhn
- Department of Neurology, Institute of Neurogenetics, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany.,Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
| | - Marcus Heldmann
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany.,Institute of Psychology II, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
| | - Thomas F Münte
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
| | - Norbert Brüggemann
- Department of Neurology, Institute of Neurogenetics, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany.,Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
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11
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Ly M, Foley L, Manivannan A, Hitchens TK, Richardson RM, Modo M. Mesoscale diffusion magnetic resonance imaging of the ex vivo human hippocampus. Hum Brain Mapp 2020; 41:4200-4218. [PMID: 32621364 PMCID: PMC7502840 DOI: 10.1002/hbm.25119] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/01/2020] [Accepted: 06/16/2020] [Indexed: 12/21/2022] Open
Abstract
Mesoscale diffusion magnetic resonance imaging (MRI) endeavors to bridge the gap between macroscopic white matter tractography and microscopic studies investigating the cytoarchitecture of human brain tissue. To ensure a robust measurement of diffusion at the mesoscale, acquisition parameters were arrayed to investigate their effects on scalar indices (mean, radial, axial diffusivity, and fractional anisotropy) and streamlines (i.e., graphical representation of axonal tracts) in hippocampal layers. A mesoscale resolution afforded segementation of the pyramidal cell layer (CA1-4), the dentate gyrus, as well as stratum moleculare, radiatum, and oriens. Using ex vivo samples, surgically excised from patients with intractable epilepsy (n = 3), we found that shorter diffusion times (23.7 ms) with a b-value of 4,000 s/mm2 were advantageous at the mesoscale, providing a compromise between mean diffusivity and fractional anisotropy measurements. Spatial resolution and sample orientation exerted a major effect on tractography, whereas the number of diffusion gradient encoding directions minimally affected scalar indices and streamline density. A sample temperature of 15°C provided a compromise between increasing signal-to-noise ratio and increasing the diffusion properties of the tissue. Optimization of the acquisition afforded a system's view of intra- and extra-hippocampal connections. Tractography reflected histological boundaries of hippocampal layers. Individual layer connectivity was visualized, as well as streamlines emanating from individual sub-fields. The perforant path, subiculum and angular bundle demonstrated extra-hippocampal connections. Histology of the samples confirmed individual cell layers corresponding to ROIs defined on MR images. We anticipate that this ex vivo mesoscale imaging will yield novel insights into human hippocampal connectivity.
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Affiliation(s)
- Maria Ly
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Lesley Foley
- Department of NeurobiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - T. Kevin Hitchens
- Department of NeurobiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - R. Mark Richardson
- Department of Neurological SurgeryUniversity of PittsburghPittsburghPennsylvaniaUSA
- McGowan Institute for Regenerative MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
- Brain InstituteUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Michel Modo
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
- McGowan Institute for Regenerative MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of BioengineeringUniversity of PittsburghPittsburghPennsylvaniaUSA
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12
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A diffusion tensor imaging study to compare normative fractional anisotropy values with patients suffering from Parkinson’s disease in the brain grey and white matter. HEALTH AND TECHNOLOGY 2020. [DOI: 10.1007/s12553-020-00454-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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13
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Harris NG, Paydar A, Smith GS, Lepore S. Diffusion MR imaging acquisition and analytics for microstructural delineation in preclinical models of TBI. J Neurosci Res 2019; 100:1128-1139. [PMID: 31044457 PMCID: PMC6824967 DOI: 10.1002/jnr.24416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 02/13/2019] [Accepted: 03/04/2019] [Indexed: 12/31/2022]
Abstract
Significant progress has been made toward improving both the acquisition of clinical diffusion-weighted imaging (DWI) data and its analysis in the uninjured brain, through various techniques including a large number of model-based solutions that have been proposed to fit for multiple tissue compartments, and multiple fibers per voxel. While some of these techniques have been applied to clinical traumatic brain injury (TBI) research, the majority of these technological enhancements have yet to be fully implemented in the preclinical arena of TBI animal model-based research. In this review, we describe the requirement for preclinical, MRI-based efforts to provide systematic confirmation of the applicability of some of these models as indicators of tissue pathology within the injured brain. We review how current DWI techniques are currently being used in animal TBI models, and describe how both acquisition and analytic techniques could be extended to leverage the progress made in clinical work. Finally, we highlight remaining gaps in the preclinical pipeline from data acquisition to final analysis that currently have no real, preclinical-based correlate.
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Affiliation(s)
- N G Harris
- Department of Neurosurgery, UCLA Brain Injury Research Centre, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California.,UCLA Intellectual Development and Disabilities Research Center, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California
| | - A Paydar
- Department of Neurosurgery, UCLA Brain Injury Research Centre, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California
| | - G S Smith
- Department of Neurosurgery, UCLA Brain Injury Research Centre, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California
| | - S Lepore
- Department of Neurosurgery, UCLA Brain Injury Research Centre, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California
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14
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Pandey AK, Ardekani BA, Kamarajan C, Zhang J, Chorlian DB, Byrne KNH, Pandey G, Meyers JL, Kinreich S, Stimus A, Porjesz B. Lower Prefrontal and Hippocampal Volume and Diffusion Tensor Imaging Differences Reflect Structural and Functional Abnormalities in Abstinent Individuals with Alcohol Use Disorder. Alcohol Clin Exp Res 2018; 42:1883-1896. [PMID: 30118142 DOI: 10.1111/acer.13854] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Accepted: 07/25/2018] [Indexed: 01/18/2023]
Abstract
BACKGROUND Alcohol use disorder (AUD) is known to have adverse effects on brain structure and function. Multimodal assessments investigating volumetric, diffusion, and cognitive characteristics may facilitate understanding of the consequences of long-term alcohol use on brain circuitry, their structural impairment patterns, and their impact on cognitive function in AUD. METHODS Voxel- and surface-based volumetric estimations, diffusion tensor imaging (DTI), and neuropsychological tests were performed on 60 individuals: 30 abstinent individuals with AUD (DSM-IV) and 30 healthy controls. Group differences in the volumes of cortical and subcortical regions, fractional anisotropy (FA), axial and radial diffusivities (AD and RD, respectively), and performance on neuropsychological tests were analyzed, and the relationship among significantly different measures was assessed using canonical correlation. RESULTS AUD participants had significantly smaller volumes in left pars orbitalis, right medial orbitofrontal, right caudal middle frontal, and bilateral hippocampal regions, lower FA in 9 white matter (WM) regions, and higher FA in left thalamus, compared to controls. In AUD, lower FA in 6 of 9 WM regions was due to higher RD and due to lower AD in the left external capsule. AUD participants scored lower on problem-solving ability, visuospatial memory span, and working memory. Positive correlations of prefrontal cortical, left hippocampal volumes, and FA in 4 WM regions with visuospatial memory performance and negative correlation with lower problem-solving ability were observed. Significant positive correlation between age and FA was observed in bilateral putamen. CONCLUSIONS Findings showed specific structural brain abnormalities to be associated with visuospatial memory and problem-solving ability-related impairments observed in AUD. Higher RD in 6 WM regions suggests demyelination, and lower AD in left external capsule suggests axonal loss in AUD. The positive correlation between FA and age in bilateral putamen may reflect accumulation of iron depositions with increasing age.
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Affiliation(s)
- Ashwini Kumar Pandey
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Babak Assai Ardekani
- Computational Neuroimaging Laboratories of the Center for Biomedical Imaging and Neuromodulation (C-BIN), The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Jian Zhang
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - David Balin Chorlian
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Kelly Nicole-Helen Byrne
- Computational Neuroimaging Laboratories of the Center for Biomedical Imaging and Neuromodulation (C-BIN), The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Jacquelyn Leigh Meyers
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Arthur Stimus
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
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15
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Bergsland N, Schweser F, Dwyer MG, Weinstock-Guttman B, Benedict RHB, Zivadinov R. Thalamic white matter in multiple sclerosis: A combined diffusion-tensor imaging and quantitative susceptibility mapping study. Hum Brain Mapp 2018; 39:4007-4017. [PMID: 29923266 DOI: 10.1002/hbm.24227] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 04/15/2018] [Accepted: 05/14/2018] [Indexed: 12/25/2022] Open
Abstract
Thalamic white matter (WM) injury in multiple sclerosis (MS) remains relatively poorly understood. Combining multiple imaging modalities, sensitive to different tissue properties, may aid in further characterizing thalamic damage. Forty-five MS patients and 17 demographically-matched healthy controls (HC) were scanned with 3T MRI to obtain quantitative measures of diffusivity and magnetic susceptibility. Participants underwent cognitive evaluation with the Brief International Cognitive Assessment for Multiple Sclerosis battery. Tract-based spatial statistics identified thalamic WM. Non-parametric combination (NPC) analysis was used to perform joint inference on fractional anisotropy (FA), mean diffusivity (MD) and magnetic susceptibility measures. The association of surrounding WM lesions and thalamic WM pathology was investigated with lesion probability mapping. Compared to HCs, the greatest extent of thalamic WM damage was reflected by the combination of increased MD and decreased magnetic susceptibility (63.0% of thalamic WM, peak p = .001). Controlling for thalamic volume resulted in decreased FA and magnetic susceptibility (34.1%, peak p = .004) as showing the greatest extent. In MS patients, the most widespread association with information processing speed was found with the combination of MD and magnetic susceptibility (67.6%, peak p = .0005), although this was not evident after controlling for thalamic volume. For memory measures, MD alone yielded the most widespread associations (45.9%, peak p = .012 or 76.7%, peak p = .001), even after considering thalamic volume, albeit with smaller percentages. White matter lesions were related to decreased FA (peak p = .0063) and increased MD (peak p = .007), but not magnetic susceptibility, of thalamic WM. Our study highlights the complex nature of thalamic pathology in MS.
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Affiliation(s)
- Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York.,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York.,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - Ralph H B Benedict
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York.,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York
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16
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Lee P, Ryoo H, Park J, Jeong Y. Morphological and Microstructural Changes of the Hippocampus in Early MCI: A Study Utilizing the Alzheimer's Disease Neuroimaging Initiative Database. J Clin Neurol 2017; 13:144-154. [PMID: 28176504 PMCID: PMC5392456 DOI: 10.3988/jcn.2017.13.2.144] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 10/30/2016] [Accepted: 10/31/2016] [Indexed: 01/18/2023] Open
Abstract
Background and Purpose With the aim of facilitating the early detection of Alzheimer's disease, the Alzheimer's Disease Neuroimaging Initiative proposed two stages based on the memory performance: early mild cognitive impairment (EMCI) and late mild cognitive impairment (LMCI). The current study was designed to investigate structural differences in terms of surface atrophy and microstructural changes of the hippocampus in EMCI and LMCI. Methods Hippocampal shape modeling based on progressive template surface deformation was performed on T1-weighted MRI images obtained from 20 cognitive normal (CN) subjects, 17 EMCI patients, and 20 LMCI patients. A template surface in CN was used as a region of interest for diffusion-tensor imaging (DTI) voxel-based morphometry (VBM) analysis. Cluster-wise group comparison was performed based on DTI indices within the hippocampus. Linear regression was performed to identify correlations between DTI metrics and clinical scores. Results The hippocampal surface analysis showed significant atrophies in bilateral CA1 regions and the right ventral subiculum in EMCI, in contrast to widespread atrophy in LMCI. DTI VBM analysis showed increased diffusivity in the CA2–CA4 regions in EMCI and additionally in the subiculum region in LMCI. Hippocampal diffusivity was significantly correlated with scores both for the Mini Mental State Examination and on the Modified Alzheimer Disease Assessment Scale cognitive subscale. However, the hippocampal diffusivity did not vary significantly with the fractional anisotropy. Conclusions EMCI showed hippocampal surface changes mainly in the CA1 region and ventral subiculum. Diffusivity increased mainly in the CA2–CA4 regions in EMCI, while it decreased throughout the hippocampus in LMCI. Although axial diffusivity showed prominent changes in the right hippocampus in EMCI, future studies need to confirm the presence of this laterality difference. In addition, diffusivity is strongly correlated with the cognitive performance, indicating the possibility of using diffusivity as a biomarker for disease progression.
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Affiliation(s)
- Peter Lee
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.,KI for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea
| | - Hojin Ryoo
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea
| | - Jinah Park
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.,KI for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.
| | - Yong Jeong
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.,KI for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.
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17
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Chen L, Cai C, Yang T, Lin J, Cai S, Zhang J, Chen Z. Changes in brain iron concentration after exposure to high-altitude hypoxia measured by quantitative susceptibility mapping. Neuroimage 2016; 147:488-499. [PMID: 27986608 DOI: 10.1016/j.neuroimage.2016.12.033] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 12/11/2016] [Accepted: 12/13/2016] [Indexed: 01/20/2023] Open
Abstract
Hypoxia can induce physiological changes. This study aims to explore effects of high-altitude (HA) hypoxia on cerebral iron concentration. Twenty-nine healthy sea-level participants were tested shortly before and after approximately 4-week adaptation to the HA environment at fQinghai-Tibet Plateau (4200m), and were re-investigated after re-adaptation to the sea-level environment one year later. Iron concentration was quantified with quantitative susceptibility mapping (QSM), and the results were compared with transverse relaxation rate (R*2) measurements. The variations of magnetic susceptibility indicate that the iron concentration in gray matter regions, especially in basal ganglia, including caudate nucleus, putamen, globus pallidus and substantia nigra, increases significantly after HA exposure. This increase appears consistent with the conclusion from R*2 value variations. However, unlike QSM, the R*2 value fails to demonstrate the statistical difference of iron content in red nucleus. The re-investigation results show that most variations are recovered after sea-level re-adaptation for one year. Additionally, hemisphere- and gender-related differences in iron concentration changes were analyzed among cerebral regions. The results show greater possibilities in the right hemisphere and females. Further studies based on diffusion tensor imaging (DTI) suggest that the fractional anisotropy increases and the mean diffusivity decreases after HA exposure in six deep gray matter nuclei, with linear dependence on iron concentration only in putamen. In conclusion, the magnetic susceptibility value can serve as a quantitative marker of brain iron, and variations of regional susceptibility reported herein indicate that HA hypoxia can result in significant iron deposition in most deep gray matter regions. Additionally, the linear dependence of DTI metrics on iron concentration in putamen indicates a potential relationship between ferritin and water diffusion.
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Affiliation(s)
- Lin Chen
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China
| | - Congbo Cai
- Department of Communication Engineering, Xiamen University, Xiamen 361005, China
| | - Tianhe Yang
- Magnetic Resonance Center, Zhongshan Hospital, Medical College of Xiamen University, Xiamen 361004, China
| | - Jianzhong Lin
- Magnetic Resonance Center, Zhongshan Hospital, Medical College of Xiamen University, Xiamen 361004, China
| | - Shuhui Cai
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China.
| | - Jiaxing Zhang
- Department of Physiology and Neurobiology, Medical College of Xiamen University, Xiamen 361102, China.
| | - Zhong Chen
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China
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18
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Lawrenz M, Brassen S, Finsterbusch J. Microscopic diffusion anisotropy in the human brain: Age-related changes. Neuroimage 2016; 141:313-325. [DOI: 10.1016/j.neuroimage.2016.07.031] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 06/18/2016] [Accepted: 07/13/2016] [Indexed: 11/16/2022] Open
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19
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Vorisek I, Syka M, Vargova L. Brain Diffusivity and Structural Changes in the R6/2 Mouse Model of Huntington Disease. J Neurosci Res 2016; 95:1474-1484. [DOI: 10.1002/jnr.23965] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 09/08/2016] [Accepted: 09/21/2016] [Indexed: 11/11/2022]
Affiliation(s)
- Ivan Vorisek
- Department of Neuroscience; Institute of Experimental Medicine AS CR, v.v.i.; Prague Czech Republic
| | - Michael Syka
- Department of Neuroscience; Institute of Experimental Medicine AS CR, v.v.i.; Prague Czech Republic
- International Clinical Research Center, St. Anne's University Hospital; Brno Czech Republic
| | - Lydia Vargova
- Department of Neuroscience; Institute of Experimental Medicine AS CR, v.v.i.; Prague Czech Republic
- Department of Neuroscience; Charles University, 2nd Faculty of Medicine; Prague Czech Republic
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20
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Harris NG, Verley DR, Gutman BA, Sutton RL. Bi-directional changes in fractional anisotropy after experiment TBI: Disorganization and reorganization? Neuroimage 2016; 133:129-143. [PMID: 26975556 PMCID: PMC4889542 DOI: 10.1016/j.neuroimage.2016.03.012] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Revised: 03/02/2016] [Accepted: 03/03/2016] [Indexed: 11/26/2022] Open
Abstract
The current dogma to explain the extent of injury-related changes following rodent controlled cortical impact (CCI) injury is a focal injury with limited axonal pathology. However, there is in fact good, published histologic evidence to suggest that axonal injury is far more widespread in this model than generally thought. One possibility that might help to explain this is the often-used region-of-interest data analysis approach taken by experimental traumatic brain injury (TBI) diffusion tensor imaging (DTI) or histologic studies that might miss more widespread damage, when compared to the whole brain, statistically robust method of tract-based analysis used more routinely in clinical research. To determine the extent of DTI changes in this model, we acquired in vivo DTI data before and at 1 and 4weeks after CCI injury in 17 adult male rats and analyzed parametric maps of fractional anisotropy (FA), axial, radial, and mean diffusivity (AD, RD, MD), tensor mode (MO), and fiber tract density (FTD) using tract-based spatial statistics. Contusion volume was used as a surrogate marker of injury severity and as a covariate for investigating severity dependence of the data. Mean fiber tract length was also computed from seeds in the cortical spinal tract regions. In parallel experiments (n=3-5/group), we investigated corpus callosum neurofilaments and demyelination using immunohistochemistry (IHC) at 3days and 6weeks, callosal tract patency using dual-label retrograde tract tracing at 5weeks, and the contribution of gliosis to DTI parameter maps using GFAP IHC at 4weeks post-injury. The data show widespread ipsilateral regions of significantly reduced FA at 1week post-injury, driven by temporally changing values of AD, RD, and MD that persist to 4weeks. Demyelination, retrograde label tract loss, and reductions in MO (tract degeneration) and FTD were shown to underpin these data. Significant FA increases occurred in subcortical and corticospinal tract regions that were spatially distinct from regions of FA decrease, grossly affected gliotic areas, and MO changes. However, there was good spatial correspondence between regions of increased FA and areas of increased FTD and mean fiber length. We discuss these widespread changes in DTI parameters in terms of axonal degeneration and potential reorganization, with reference to a resting state fMRI companion paper (Harris et al., 2016, Exp. Neurol. 227:124-138) that demonstrated altered functional connectivity data acquired from the same rats used in this study.
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Affiliation(s)
- N G Harris
- UCLA Brain injury Research Center, Department of Neurosurgery, University of California, Los Angeles, Los Angeles, USA.
| | - D R Verley
- UCLA Brain injury Research Center, Department of Neurosurgery, University of California, Los Angeles, Los Angeles, USA
| | - B A Gutman
- Department of Neurology, Imaging Genetics Center, Keck/USC School of Medicine, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA, USA
| | - R L Sutton
- UCLA Brain injury Research Center, Department of Neurosurgery, University of California, Los Angeles, Los Angeles, USA
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21
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Chan LL, Ng KM, Yeoh CS, Rumpel H, Li HH, Tan EK. Putaminal Diffusivity Correlates With Disease Progression in Parkinson's Disease: Prospective 6-Year Study. Medicine (Baltimore) 2016; 95:e2594. [PMID: 26871779 PMCID: PMC4753874 DOI: 10.1097/md.0000000000002594] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Diffusion tensor imaging (DTI) is an increasingly used noninvasive imaging tool. However its long-term clinical utility is unclear. Parkinson's disease (PD) is a common neurodegenerative disease.We prospectively examined a cohort of 46 Parkinson's disease (PD) patients who underwent diffusion tensor imaging (DTI) of the brain at baseline and 6 years later on a 1.5 Tesla scanner using a standardized protocol. DTI parameters of mean diffusivity (MD) and fractional anisotrophy (FA) were extracted using regions-of-interest (ROIs) analysis from various brain regions.Compared to the baseline scan, MD increased in all brain regions (P < 0.0001). FA increased in the substantia nigra and posterior putamen, but decreased in the frontal white matter (P < 0.0001). Linear regression analysis demonstrated that the MD in the anterior putamen increased 11.6 units (95% CI = [4.71, 18.43]) (P = 0.0003) for every unit increase of United PD Rating Scale (UPDRS).Our 6-year prospective longitudinal study demonstrated increased diffusivity in all brain regions and that in the anterior putamen correlated with disease progression. Serial diffusion data may be useful as an additional objective in vivo biomarker for motor progression in PD.
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Affiliation(s)
- Ling-Ling Chan
- From the Departments of Diagnostic Radiology, Clinical Research and Neurology, Singapore General Hospital (L-LC, K-MN, C-SY, HR, H-HL, E-KT); National Neuroscience Institute (E-KT); and Duke-NUS Medical School, Singapore (L-LC, K-MN, E-KT)
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Rulseh AM, Keller J, Rusz J, Syka M, Brozova H, Rusina R, Havrankova P, Zarubova K, Malikova H, Jech R, Vymazal J. Diffusion tensor imaging in the characterization of multiple system atrophy. Neuropsychiatr Dis Treat 2016; 12:2181-7. [PMID: 27616888 PMCID: PMC5008640 DOI: 10.2147/ndt.s109094] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
PURPOSE Multiple system atrophy (MSA) is a rare neurodegenerative disease that remains poorly understood, and the diagnosis of MSA continues to be challenging. We endeavored to improve the diagnostic process and understanding of in vivo characteristics of MSA by diffusion tensor imaging (DTI). MATERIALS AND METHODS Twenty MSA subjects, ten parkinsonian dominant (MSA-P), ten cerebellar dominant (MSA-C), and 20 healthy volunteer subjects were recruited. Fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity maps were processed using tract-based spatial statistics. Diffusion data were additionally evaluated in the basal ganglia. A support vector machine was used to assess diagnostic utility, leave-one-out cross-validation in the evaluation of classification schemes, and receiver operating characteristic analyses to determine cutoff values. RESULTS We detected widespread changes in the brain white matter of MSA subjects; however, no group-wise differences were found between MSA-C and MSA-P subgroups. Altered DTI metrics in the putamen and middle cerebellar peduncles were associated with a positive parkinsonian and cerebellar phenotype, respectively. Concerning clinical applicability, we achieved high classification performance on mean diffusivity data in the combined bilateral putamen and middle cerebellar peduncle (accuracy 90.3%±9%, sensitivity 86.5%±11%, and specificity 99.3%±4%). CONCLUSION DTI in the middle cerebellar peduncle and putamen may be used in the diagnosis of MSA with a high degree of accuracy.
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Affiliation(s)
- Aaron Michael Rulseh
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic; Department of Radiology, 1st Faculty of Medicine, General University Hospital, Charles University in Prague, Prague, Czech Republic; National Institute of Mental Health, Klecany, Czech Republic
| | - Jiri Keller
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic; 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Jan Rusz
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic; Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Michael Syka
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
| | - Hana Brozova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Robert Rusina
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic; Thomayer Hospital, Prague, Czech Republic
| | - Petra Havrankova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Katerina Zarubova
- Department of Neurology, 2nd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Hana Malikova
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
| | - Robert Jech
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Josef Vymazal
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
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23
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Gong NJ, Wong CS, Hui ES, Chan CC, Leung LM. Hemisphere, gender and age-related effects on iron deposition in deep gray matter revealed by quantitative susceptibility mapping. NMR IN BIOMEDICINE 2015; 28:1267-1274. [PMID: 26313542 DOI: 10.1002/nbm.3366] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 06/19/2015] [Accepted: 06/28/2015] [Indexed: 06/04/2023]
Abstract
The purpose of this work was to investigate the effects of hemispheric location, gender and age on susceptibility value, as well as the association between susceptibility value and diffusional metrics, in deep gray matter. Iron content was estimated in vivo using quantitative susceptibility mapping. Microstructure was probed using diffusional kurtosis imaging. Regional susceptibility and diffusional metrics were measured for the putamen, caudate nucleus, globus pallidus, thalamus, substantia nigra and red nucleus in 42 healthy adults (age range 25-78 years). Susceptibility value was significantly higher in the left than the right side of the caudate nucleus (P = 0.043) and substantia nigra (P < 0.001). Women exhibited lower susceptibility values than men in the thalamus (P < 0.001) and red nucleus (P = 0.032). Significant age-related increases of susceptibility were observed in the putamen (P < 0.001), red nucleus (P < 0.001), substantia nigra (P = 0.004), caudate nucleus (P < 0.001) and globus pallidus (P = 0.017). The putamen exhibited the highest rate of iron accumulation with aging (slope of linear regression = 0.73 × 10(-3) ppm/year), which was nearly twice those in substantia nigra (slope = 0.40 × 10(-3) ppm/year) and caudate nucleus (slope = 0.39 × 10(-3) ppm/year). Significant positive correlations between the susceptibility value and diffusion measurements were observed for fractional anisotropy (P = 0.045) and mean kurtosis (P = 0.048) in the putamen without controlling for age. Neither correlation was significant after controlling for age. Hemisphere, gender and age-related differences in iron measurements were observed in deep gray matter. Notably, the putamen exhibited the highest rate of increase in susceptibility with aging. Correlations between susceptibility value and microstructural measurements were inconclusive. These findings could provide new clues for unveiling mechanisms underlying iron-related neurodegenerative diseases.
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Affiliation(s)
- Nan-Jie Gong
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chun-Sing Wong
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Edward S Hui
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chun-Chung Chan
- Department of Geriatrics and Medicine, United Christian Hospital, Hong Kong, China
| | - Lam-Ming Leung
- Department of Psychiatry, United Christian Hospital, Hong Kong, China
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24
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Chang YK, Tsai JHC, Wang CC, Chang EC. Structural differences in basal ganglia of elite running versus martial arts athletes: a diffusion tensor imaging study. Exp Brain Res 2015; 233:2239-48. [PMID: 25929552 DOI: 10.1007/s00221-015-4293-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 04/18/2015] [Indexed: 01/31/2023]
Abstract
The aim of this study was to use diffusion tensor imaging (DTI) to characterize and compare microscopic differences in white matter integrity in the basal ganglia between elite professional athletes specializing in running and martial arts. Thirty-three young adults with sport-related skills as elite professional runners (n = 11) or elite professional martial artists (n = 11) were recruited and compared with non-athletic and healthy controls (n = 11). All participants underwent health- and skill-related physical fitness assessments. Fractional anisotropy (FA) and mean diffusivity (MD), the primary indices derived from DTI, were computed for five regions of interest in the bilateral basal ganglia, including the caudate nucleus, putamen, globus pallidus internal segment (GPi), globus pallidus external segment (GPe), and subthalamic nucleus. Results revealed that both athletic groups demonstrated better physical fitness indices compared with their control counterparts, with the running group exhibiting the highest cardiovascular fitness and the martial arts group exhibiting the highest muscular endurance and flexibility. With respect to the basal ganglia, both athletic groups showed significantly lower FA and marginally higher MD values in the GPi compared with the healthy control group. These findings suggest that professional sport or motor skill training is associated with changes in white matter integrity in specific regions of the basal ganglia, although these positive changes did not appear to depend on the type of sport-related motor skill being practiced.
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Affiliation(s)
- Yu-Kai Chang
- Graduate Institute of Athletics and Coaching Science, National Taiwan Sport University, Taoyuan City, Taiwan
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25
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Syka M, Keller J, Klempíř J, Rulseh AM, Roth J, Jech R, Vorisek I, Vymazal J. Correlation between relaxometry and diffusion tensor imaging in the globus pallidus of Huntington's disease patients. PLoS One 2015; 10:e0118907. [PMID: 25781024 PMCID: PMC4362949 DOI: 10.1371/journal.pone.0118907] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Accepted: 01/18/2015] [Indexed: 11/18/2022] Open
Abstract
Huntington's disease (HD) is an inherited neurodegenerative disorder with progressive impairment of motor, behavioral and cognitive functions. The clinical features of HD are closely related to the degeneration of the basal ganglia, predominantly the striatum. The main striatal output structure, the globus pallidus, strongly accumulates metalloprotein-bound iron, which was recently shown to influence the diffusion tensor scalar values. To test the hypothesis that this effect dominates in the iron-rich basal ganglia of HD patients, we examined the globus pallidus using DTI and T2 relaxometry sequences. Quantitative magnetic resonance (MR), clinical and genetic data (number of CAG repeats) were obtained from 14 HD patients. MR parameters such as the T2 relaxation rate (RR), fractional anisotropy (FA) and mean diffusivity (MD) were analysed. A positive correlation was found between RR and FA (R2=0.84), between CAG and RR (R2=0.59) and between CAG and FA (R2=0.44). A negative correlation was observed between RR and MD (R2=0.66). A trend towards correlation between CAG and MD was noted. No correlation between MR and clinical parameters was found. Our results indicate that especially magnetic resonance FA measurements in the globus pallidus of HD patients may be strongly affected by metalloprotein-bound iron accumulation.
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Affiliation(s)
- Michael Syka
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
- International Clinical Research Center, St. Anne´s University Hospital, Brno, Czech Republic
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, v.v.i., Prague, Czech Republic
- * E-mail:
| | - Jiří Keller
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
- Department of Neurology, 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Jiří Klempíř
- Department of Neurology and Center of Clinical Neuroscience, 1st Faculty of Medicine and General University Hospital in Prague, Charles University in Prague, Prague, Czech Republic
- Institute of Anatomy, 1st Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Aaron M. Rulseh
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
- Department of Radiology, 1st Faculty of Medicine and General University Hospital in Prague, Charles University in Prague, Prague, Czech Republic
| | - Jan Roth
- Department of Neurology and Center of Clinical Neuroscience, 1st Faculty of Medicine and General University Hospital in Prague, Charles University in Prague, Prague, Czech Republic
| | - Robert Jech
- Department of Neurology and Center of Clinical Neuroscience, 1st Faculty of Medicine and General University Hospital in Prague, Charles University in Prague, Prague, Czech Republic
| | - Ivan Vorisek
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, v.v.i., Prague, Czech Republic
| | - Josef Vymazal
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
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26
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Hasan KM, Lincoln JA, Nelson FM, Wolinsky JS, Narayana PA. Lateral ventricular cerebrospinal fluid diffusivity as a potential neuroimaging marker of brain temperature in multiple sclerosis: a hypothesis and implications. Magn Reson Imaging 2014; 33:262-9. [PMID: 25485790 DOI: 10.1016/j.mri.2014.11.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Revised: 11/24/2014] [Accepted: 11/24/2014] [Indexed: 01/03/2023]
Abstract
In this retrospective study we tested the hypothesis that the net effect of impaired electrical conduction and therefore increased heat dissipation in multiple sclerosis (MS) results in elevated lateral ventricular (LV) cerebrospinal fluid (CSF) diffusivity as a measure of brain temperature estimated in vivo using diffusion tensor imaging (DTI). We used validated DTI-based segmentation methods to obtain normalized LV-CSF volume and its corresponding CSF diffusivity in 108 MS patients and 103 healthy controls in the age range of 21-63 years. The LV CSF diffusivity was ~2% higher in MS compared to controls that correspond to a temperature rise of ~1°C that could not be explained by changes in the CSF viscosity due to altered CSF protein content in MS. The LV diffusivity decreased with age in healthy controls (r=-0.29; p=0.003), but not in MS (r=0.15; p=0.11), possibly related to MS pathology. Age-adjusted LV diffusivity increased with lesion load (r=0.518; p=1×10(-8)). Our data suggest that the total brain lesion load is the primary contributor to the increase in LV CSF diffusivity in MS. These findings suggest that LV diffusivity is a potential in vivo biomarker of the mismatch between heat generation and dissipation in MS. We also discuss limitations and possible confounders.
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Affiliation(s)
- Khader M Hasan
- The University of Texas Health Science Center at Houston, Department of Diagnostic & Interventional Imaging, 6431 Fannin Street, Houston, Texas 77030.
| | - John A Lincoln
- The University of Texas Health Science Center at Houston, Department of Neurology, 6431 Fannin Street, Houston, Texas 77030
| | - Flavia M Nelson
- The University of Texas Health Science Center at Houston, Department of Neurology, 6431 Fannin Street, Houston, Texas 77030
| | - Jerry S Wolinsky
- The University of Texas Health Science Center at Houston, Department of Neurology, 6431 Fannin Street, Houston, Texas 77030
| | - Ponnada A Narayana
- The University of Texas Health Science Center at Houston, Department of Diagnostic & Interventional Imaging, 6431 Fannin Street, Houston, Texas 77030
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27
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Dusek P, Tovar Martinez EM, Madai VI, Jech R, Sobesky J, Paul F, Niendorf T, Wuerfel J, Schneider SA. 7-Tesla Magnetic Resonance Imaging for Brain Iron Quantification in Homozygous and Heterozygous PANK2 Mutation Carriers. Mov Disord Clin Pract 2014; 1:329-335. [PMID: 30363918 DOI: 10.1002/mdc3.12080] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2014] [Revised: 06/06/2014] [Accepted: 06/18/2014] [Indexed: 01/18/2023] Open
Abstract
Pantothenate-kinase-associated neurodegeneration (PKAN) is an autosomal recessive disorder characterized by iron deposits in basal ganglia. The aim of this study was to quantify iron concentrations of deep gray matter structures in heterozygous PANK2 mutation carriers and in PKAN patients using quantitative susceptibility mapping MRI. By determining iron concentration, we intended to find mutation-specific brain parenchymal stigmata in heterozygous PANK2 mutation carriers in comparison to age-matched healthy volunteers. We studied 11 heterozygous PANK2 gene mutation carriers (mean age: 43.4 years; standard deviation [SD]: 10.5), who were found to be clinically asymptomatic by neurological examination. These carriers were compared to 2 clinically affected PKAN patients 21 and 32 years of age and to 13 age-matched, healthy controls (mean age: 39.7; SD, 13.6). Scanning was performed on a 7.0-Tesla whole-body scanner applying three-dimensional susceptibility-weighted gradient echo acquisitions. Susceptibility maps were calculated by threshold-based k-space division with single-orientation acquisition. Magnetic susceptibility values, relative to the occipital white matter, were determined for the following regions of interest (ROI): globus pallidus (GP), thalamus, putamen, internal capsule (IC), caudate nucleus, substantia nigra (SN), and red nucleus. Heterozygous PANK2 mutation carriers did not show increased brain iron concentrations, compared to healthy controls (P > 0.05), in any of the examined ROIs. In PKAN patients, more than 3 times higher concentrations of iron were found in the GP, SN, and IC. Our results suggest that heterozygous mutations in PANK2 gene do not cause brain iron accumulation nor do they cause movement disorders.
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Affiliation(s)
- Petr Dusek
- Department of Neurology and Center of Clinical Neuroscience Charles University in Prague First Faculty of Medicine and General University Hospital in Prague Prague Czech Republic.,Institute of Neuroradiology University Medicine Goettingen Goettingen Germany
| | | | - Vince Istvan Madai
- Department of Neurology and Center for Stroke Research Berlin Charité-Universitaetsmedizin Berlin Germany
| | - Robert Jech
- Department of Neurology and Center of Clinical Neuroscience Charles University in Prague First Faculty of Medicine and General University Hospital in Prague Prague Czech Republic
| | - Jan Sobesky
- Department of Neurology and Center for Stroke Research Berlin Charité-Universitaetsmedizin Berlin Germany.,Experimental and Clinical Research Center Charité-Universitaetsmedizin and Max Delbrueck Center for Molecular Medicine Berlin Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center Charité University Medicine Berlin Berlin Germany
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility Max-Delbrueck Center for Molecular Medicine Berlin Germany.,Experimental and Clinical Research Center Charité-Universitaetsmedizin and Max Delbrueck Center for Molecular Medicine Berlin Germany
| | - Jens Wuerfel
- Institute of Neuroradiology University Medicine Goettingen Goettingen Germany.,Berlin Ultrahigh Field Facility Max-Delbrueck Center for Molecular Medicine Berlin Germany.,Experimental and Clinical Research Center Charité-Universitaetsmedizin and Max Delbrueck Center for Molecular Medicine Berlin Germany.,NeuroCure Clinical Research Center Charité University Medicine Berlin Berlin Germany
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28
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Gong NJ, Wong CS, Chan CC, Leung LM, Chu YC. Aging in deep gray matter and white matter revealed by diffusional kurtosis imaging. Neurobiol Aging 2014; 35:2203-16. [DOI: 10.1016/j.neurobiolaging.2014.03.011] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2013] [Revised: 03/08/2014] [Accepted: 03/13/2014] [Indexed: 11/26/2022]
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29
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Cole JH, Farmer RE, Rees EM, Johnson HJ, Frost C, Scahill RI, Hobbs NZ. Test-Retest Reliability of Diffusion Tensor Imaging in Huntington's Disease. PLOS CURRENTS 2014; 6. [PMID: 24672743 PMCID: PMC3962450 DOI: 10.1371/currents.hd.f19ef63fff962f5cd9c0e88f4844f43b] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Diffusion tensor imaging (DTI) has shown microstructural abnormalities in patients with Huntington's Disease (HD) and work is underway to characterise how these abnormalities change with disease progression. Using methods that will be applied in longitudinal research, we sought to establish the reliability of DTI in early HD patients and controls. Test-retest reliability, quantified using the intraclass correlation coefficient (ICC), was assessed using region-of-interest (ROI)-based white matter atlas and voxelwise approaches on repeat scan data from 22 participants (10 early HD, 12 controls). T1 data was used to generate further ROIs for analysis in a reduced sample of 18 participants. The results suggest that fractional anisotropy (FA) and other diffusivity metrics are generally highly reliable, with ICCs indicating considerably lower within-subject compared to between-subject variability in both HD patients and controls. Where ICC was low, particularly for the diffusivity measures in the caudate and putamen, this was partly influenced by outliers. The analysis suggests that the specific DTI methods used here are appropriate for cross-sectional research in HD, and give confidence that they can also be applied longitudinally, although this requires further investigation. An important caveat for DTI studies is that test-retest reliability may not be evenly distributed throughout the brain whereby highly anisotropic white matter regions tended to show lower relative within-subject variability than other white or grey matter regions.
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Affiliation(s)
- James H Cole
- Huntington's Disease Research Group, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; Computational, Cognitive & Clinical Neuroimaging Laboratory, Department of Medicine, Imperial College London, UK
| | - Ruth E Farmer
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Elin M Rees
- Huntington's Disease Research Group, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Hans J Johnson
- Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA
| | - Chris Frost
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Rachael I Scahill
- Huntington's Disease Research Group, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Nicola Z Hobbs
- Huntington's Disease Research Group, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
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30
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Keller J, Rulseh AM, Komárek A, Latnerová I, Rusina R, Brožová H, Vymazal J. New non-linear color look-up table for visualization of brain fractional anisotropy based on normative measurements - principals and first clinical use. PLoS One 2013; 8:e71431. [PMID: 23990954 PMCID: PMC3750032 DOI: 10.1371/journal.pone.0071431] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2013] [Accepted: 06/28/2013] [Indexed: 12/14/2022] Open
Abstract
Fractional anisotropy (FA) is the most commonly used quantitative measure of diffusion in the brain. Changes in FA have been reported in many neurological disorders, but the implementation of diffusion tensor imaging (DTI) in daily clinical practice remains challenging. We propose a novel color look-up table (LUT) based on normative data as a tool for screening FA changes. FA was calculated for 76 healthy volunteers using 12 motion-probing gradient directions (MPG), a subset of 59 subjects was additionally scanned using 30 MPG. Population means and 95% prediction intervals for FA in the corpus callosum, frontal gray matter, thalamus and basal ganglia were used to create the LUT. Unique colors were assigned to inflection points with continuous ramps between them. Clinical use was demonstrated on 17 multiple system atrophy (MSA) patients compared to 13 patients with Parkinson disease (PD) and 17 healthy subjects. Four blinded radiologists classified subjects as MSA/non-MSA. Using only the LUT, high sensitivity (80%) and specificity (84%) were achieved in differentiating MSA subjects from PD subjects and controls. The LUTs generated from 12 and 30 MPG were comparable and accentuate FA abnormalities.
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Affiliation(s)
- Jiří Keller
- Department of Neurology, Third Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
- * E-mail:
| | - Aaron M. Rulseh
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
| | - Arnošt Komárek
- Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic
| | - Iva Latnerová
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
| | - Robert Rusina
- Department of Neurology, Thomayer Hospital, Prague, Czech Republic
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic
| | - Hana Brožová
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic
| | - Josef Vymazal
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
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31
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Zhang J, Tao R, Liu C, Wu W, Zhang Y, Cui J, Wang J. Possible effects of iron deposition on the measurement of DTI metrics in deep gray matter nuclei: an in vitro and in vivo study. Neurosci Lett 2013; 551:47-52. [PMID: 23872093 DOI: 10.1016/j.neulet.2013.07.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2013] [Revised: 06/28/2013] [Accepted: 07/02/2013] [Indexed: 11/28/2022]
Abstract
The aim of this study was to explore the possible effects of iron deposition on the measurement of diffusion tensor imaging (DTI) metrics in deep gray matter nuclei in the normal human brain. Susceptibility-weighted imaging (SWI) and DTI were performed on nine MnCl2 phantoms and 85 healthy adults. The SWI phase value (PV) and DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were measured in phantoms and the frontal white matter (FWM), caudate (CA), putamen (PU), and globus pallidus (GP) of both hemispheres in healthy adults. The FA correlated linearly with PV and MnCl2 concentrations in phantoms. The PV in the PU was positively correlated with age. The FA was negatively correlated with age in the FWM and positively correlated with age in the PU. AD positively correlated with PV in CA, PU, and GP. FA increased with elevated PV in the PU when controlling for the impact of age. The age-related increasing of PV, which predominantly caused by iron deposition, probably influences the measurement of DTI metrics in the PU in the normal human brain and should be considered when diagnosing various neurodegenerative diseases using DTI metrics.
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Affiliation(s)
- Jiuquan Zhang
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing 400038, China
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