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Journal articles on the topic 'Tensor-based morphometry'

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Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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1

Ashburner, John, Catriona Good, and Karl J. Friston. "Tensor based morphometry." NeuroImage 11, no. 5 (May 2000): S465. http://dx.doi.org/10.1016/s1053-8119(00)91396-x.

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2

Wang, Y., X. Gu, T. F. Chan, A. W. Toga, and P. M. Thompson. "Multivariate Statistics of Tensor-Based Cortical Surface Morphometry." NeuroImage 47 (July 2009): S100. http://dx.doi.org/10.1016/s1053-8119(09)70850-x.

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3

Muñoz-Ruiz, Miguel Ángel, Päivi Hartikainen, Juha Koikkalainen, Robin Wolz, Valtteri Julkunen, Eini Niskanen, Sanna-Kaisa Herukka, et al. "Structural MRI in Frontotemporal Dementia: Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry." PLoS ONE 7, no. 12 (December 20, 2012): e52531. http://dx.doi.org/10.1371/journal.pone.0052531.

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4

Khan, Ali R., Lei Wang, and Mirza Faisal Beg. "Unified voxel- and tensor-based morphometry (UVTBM) using registration confidence." Neurobiology of Aging 36 (January 2015): S60—S68. http://dx.doi.org/10.1016/j.neurobiolaging.2014.04.036.

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5

Chung, M. K., K. M. Dalton, and R. J. Davidson. "Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation." IEEE Transactions on Medical Imaging 27, no. 8 (August 2008): 1143–51. http://dx.doi.org/10.1109/tmi.2008.918338.

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6

Yanovsky, Igor, Alex D. Leow, Suh Lee, Stanley J. Osher, and Paul M. Thompson. "Comparing registration methods for mapping brain change using tensor-based morphometry." Medical Image Analysis 13, no. 5 (October 2009): 679–700. http://dx.doi.org/10.1016/j.media.2009.06.002.

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7

Koikkalainen, Juha, Jyrki Lötjönen, Lennart Thurfjell, Daniel Rueckert, Gunhild Waldemar, and Hilkka Soininen. "Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease." NeuroImage 56, no. 3 (June 2011): 1134–44. http://dx.doi.org/10.1016/j.neuroimage.2011.03.029.

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8

Landin-Romero, Ramón, Erick J. Canales-Rodríguez, Fiona Kumfor, Ana Moreno-Alcázar, Mercè Madre, Teresa Maristany, Edith Pomarol-Clotet, and Benedikt L. Amann. "Surface-based brain morphometry and diffusion tensor imaging in schizoaffective disorder." Australian & New Zealand Journal of Psychiatry 51, no. 1 (July 11, 2016): 42–54. http://dx.doi.org/10.1177/0004867416631827.

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Background: The profile of grey matter abnormalities and related white-matter pathology in schizoaffective disorder has only been studied to a limited extent. The aim of this study was to identify grey- and white-matter abnormalities in patients with schizoaffective disorder using complementary structural imaging techniques. Methods: Forty-five patients meeting Diagnostic and Statistical Manual of Mental Disorders–Fourth Edition criteria and Research Diagnostic Criteria for schizoaffective disorder and 45 matched healthy controls underwent structural-T1 and diffusion magnetic resonance imaging to enable surface-based brain morphometry and diffusion tensor imaging analyses. Analyses were conducted to determine group differences in cortical volume, cortical thickness and surface area, as well as in fractional anisotropy and mean diffusivity. Results: At a threshold of p = 0.05 corrected, all measures revealed significant differences between patients and controls at the group level. Spatial overlap of abnormalities was observed across the various structural neuroimaging measures. In grey matter, patients with schizoaffective disorder showed abnormalities in the frontal and temporal lobes, striatum, fusiform, cuneus, precuneus, lingual and limbic regions. White-matter abnormalities were identified in tracts connecting these areas, including the corpus callosum, superior and inferior longitudinal fasciculi, anterior thalamic radiation, uncinate fasciculus and cingulum bundle. Conclusion: The spatial overlap of abnormalities across the different imaging techniques suggests widespread and consistent brain pathology in schizoaffective disorder. The abnormalities were mainly detected in areas that have commonly been reported to be abnormal in schizophrenia, and to some extent in bipolar disorder, which may explain the clinical and aetiological overlap in these disorders.
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9

Tao, Guozhi, Sushmita Datta, Renjie He, Flavia Nelson, Jerry S. Wolinsky, and Ponnada A. Narayana. "Deep gray matter atrophy in multiple sclerosis: A tensor based morphometry." Journal of the Neurological Sciences 282, no. 1-2 (July 2009): 39–46. http://dx.doi.org/10.1016/j.jns.2008.12.035.

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10

Whitwell, Jennifer L., Joseph R. Duffy, Mary M. Machulda, Heather M. Clark, Edythe A. Strand, Matthew L. Senjem, Jeffrey L. Gunter, et al. "Tracking the development of agrammatic aphasia: A tensor-based morphometry study." Cortex 90 (May 2017): 138–48. http://dx.doi.org/10.1016/j.cortex.2016.09.017.

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11

Hua, Xue, Alex D. Leow, Jennifer G. Levitt, Rochelle Caplan, Paul M. Thompson, and Arthur W. Toga. "Detecting brain growth patterns in normal children using tensor-based morphometry." Human Brain Mapping 30, no. 1 (January 2009): 209–19. http://dx.doi.org/10.1002/hbm.20498.

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12

Wang, Yalin, Lei Yuan, Jie Shi, Alexander Greve, Jieping Ye, Arthur W. Toga, Allan L. Reiss, and Paul M. Thompson. "Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis." NeuroImage 74 (July 2013): 209–30. http://dx.doi.org/10.1016/j.neuroimage.2013.02.011.

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13

Kim, Jeongchul, Youngkyoo Jung, Richard Barcus, Jocelyne H. Bachevalier, Mar M. Sanchez, Michael A. Nader, and Christopher T. Whitlow. "Rhesus Macaque Brain Developmental Trajectory: A Longitudinal Analysis Using Tensor-Based Structural Morphometry and Diffusion Tensor Imaging." Cerebral Cortex 30, no. 8 (April 2, 2020): 4325–35. http://dx.doi.org/10.1093/cercor/bhaa015.

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Abstract The typical developmental trajectory of brain structure among nonhuman primates (NHPs) remains poorly understood. In this study, we characterized the normative trajectory of developmental change among a cohort of rhesus monkeys (n = 28), ranging in age from 2 to 22 months, using structural MRI datasets that were longitudinally acquired every 3–4 months. We hypothesized that NHP-specific transient intracranial volume decreases reported during late infancy would be part of the typical developmental process, which is driven by volumetric contraction of gray matter in primary functional areas. To this end, we performed multiscale analyses from the whole brain to voxel level, characterizing regional heterogeneity, hemispheric asymmetry, and sexual dimorphism in developmental patterns. The longitudinal trajectory of brain development was explained by three different regional volumetric growth patterns (exponentially decreasing, undulating, and linearly increasing), which resulted in developmental brain volume curves with transient brain volumetric decreases. White matter (WM) fractional anisotropy increased with age, corresponding to WM volume increases, while mean diffusivity (MD) showed biphasic patterns. The longitudinal trajectory of brain development in young rhesus monkeys follows typical maturation patterns seen in humans, but regional volumetric and MD changes are more dynamic in rhesus monkeys compared with humans, with marked decreases followed by “rebound-like” increases.
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14

Kundu, S., A. Ghodadra, S. Fakhran, L. M. Alhilali, and G. K. Rohde. "Assessing Postconcussive Reaction Time Using Transport-Based Morphometry of Diffusion Tensor Images." American Journal of Neuroradiology 40, no. 7 (June 13, 2019): 1117–23. http://dx.doi.org/10.3174/ajnr.a6087.

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15

Leow, Alex D., Andrea D. Klunder, Clifford R. Jack, Arthur W. Toga, Anders M. Dale, Matt A. Bernstein, Paula J. Britson, et al. "Longitudinal stability of MRI for mapping brain change using tensor-based morphometry." NeuroImage 31, no. 2 (June 2006): 627–40. http://dx.doi.org/10.1016/j.neuroimage.2005.12.013.

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16

Farbota, Kimberly D. M., Aparna Sodhi, Barbara B. Bendlin, Donald G. McLaren, Guofan Xu, Howard A. Rowley, and Sterling C. Johnson. "Longitudinal Volumetric Changes following Traumatic Brain Injury: A Tensor-Based Morphometry Study." Journal of the International Neuropsychological Society 18, no. 6 (August 13, 2012): 1006–18. http://dx.doi.org/10.1017/s1355617712000835.

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AbstractAfter traumatic injury, the brain undergoes a prolonged period of degenerative change that is paradoxically accompanied by cognitive recovery. The spatiotemporal pattern of atrophy and the specific relationships of atrophy to cognitive changes are ill understood. The present study used tensor-based morphometry and neuropsychological testing to examine brain volume loss in 17 traumatic brain injury (TBI) patients and 13 controls over a 4-year period. Patients were scanned at 2 months, 1 year, and 4 years post-injury. High-dimensional warping procedures were used to create change maps of each subject's brain for each of the two intervals. TBI patients experienced volume loss in both cortical areas and white matter regions during the first interval. We also observed continuing volume loss in extensive regions of white matter during the second interval. Neuropsychological correlations indicated that cognitive tasks were associated with subsequent volume loss in task-relevant regions. The extensive volume loss in brain white matter observed well beyond the first year post-injury suggests that the injured brain remains malleable for an extended period, and the neuropsychological relationships suggest that this volume loss may be associated with subtle cognitive improvements. (JINS, 2012,18, 1–13)
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17

Brambati, Simona M., Natasha C. Renda, Katherine P. Rankin, Howard J. Rosen, William W. Seeley, John Ashburner, Michael W. Weiner, Bruce L. Miller, and Maria Luisa Gorno-Tempini. "A tensor based morphometry study of longitudinal gray matter contraction in FTD." NeuroImage 35, no. 3 (April 2007): 998–1003. http://dx.doi.org/10.1016/j.neuroimage.2007.01.028.

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18

Bossa, Matias, Ernesto Zacur, and Salvador Olmos. "Tensor-based morphometry with stationary velocity field diffeomorphic registration: Application to ADNI." NeuroImage 51, no. 3 (July 2010): 956–69. http://dx.doi.org/10.1016/j.neuroimage.2010.02.061.

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19

Senjem, Matthew L., Clifford Jack, Brad Boeve, David Knopman, and Ron Petersen. "IC-P2-135: Tensor based morphometry test retest validation in AD subjects." Alzheimer's & Dementia 4 (July 2008): T60—T61. http://dx.doi.org/10.1016/j.jalz.2008.05.2590.

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20

Senjem, Matthew L., Clifford Jack, Brad Boeve, Ron Petersen, and David Knopman. "P1-289: Tensor based morphometry test retest validation in Alzheimer's disease subjects." Alzheimer's & Dementia 4 (July 2008): T302—T303. http://dx.doi.org/10.1016/j.jalz.2008.05.879.

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21

Fletcher, Evan, Alexander Knaack, Baljeet Singh, Evan Lloyd, Evan Wu, Owen Carmichael, and Charles DeCarli. "Combining Boundary-Based Methods With Tensor-Based Morphometry in the Measurement of Longitudinal Brain Change." IEEE Transactions on Medical Imaging 32, no. 2 (February 2013): 223–36. http://dx.doi.org/10.1109/tmi.2012.2220153.

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22

Dennis, Emily L., Xue Hua, Julio Villalon-Reina, Lisa M. Moran, Claudia Kernan, Talin Babikian, Richard Mink, et al. "Tensor-Based Morphometry Reveals Volumetric Deficits in Moderate/Severe Pediatric Traumatic Brain Injury." Journal of Neurotrauma 33, no. 9 (May 2016): 840–52. http://dx.doi.org/10.1089/neu.2015.4012.

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23

Chiang, Ming-Chang, Rebecca A. Dutton, Kiralee M. Hayashi, Oscar L. Lopez, Howard J. Aizenstein, Arthur W. Toga, James T. Becker, and Paul M. Thompson. "3D pattern of brain atrophy in HIV/AIDS visualized using tensor-based morphometry." NeuroImage 34, no. 1 (January 2007): 44–60. http://dx.doi.org/10.1016/j.neuroimage.2006.08.030.

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24

Chiang, Ming-Chang, Allan L. Reiss, Agatha D. Lee, Ursula Bellugi, Albert M. Galaburda, Julie R. Korenberg, Debra L. Mills, Arthur W. Toga, and Paul M. Thompson. "3D pattern of brain abnormalities in Williams syndrome visualized using tensor-based morphometry." NeuroImage 36, no. 4 (July 2007): 1096–109. http://dx.doi.org/10.1016/j.neuroimage.2007.04.024.

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25

Colom, Roberto, Xue Hua, Kenia Martínez, Miguel Burgaleta, Francisco J. Román, Jeffrey L. Gunter, Susanna Carmona, Susanne M. Jaeggi, and Paul M. Thompson. "Brain structural changes following adaptive cognitive training assessed by Tensor-Based Morphometry (TBM)." Neuropsychologia 91 (October 2016): 77–85. http://dx.doi.org/10.1016/j.neuropsychologia.2016.07.034.

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26

Lepore, N., P. Voss, F. Lepore, Y.-Y. Chou, M. Fortin, F. Gougoux, AD Lee, et al. "Brain differences in early- and late- blind subjects mapped using tensor-based morphometry." NeuroImage 47 (July 2009): S152. http://dx.doi.org/10.1016/s1053-8119(09)71573-3.

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27

Hua, Xue, Boris Gutman, Christina P. Boyle, Priya Rajagopalan, Alex D. Leow, Igor Yanovsky, Anand R. Kumar, et al. "Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry." NeuroImage 57, no. 1 (July 2011): 5–14. http://dx.doi.org/10.1016/j.neuroimage.2011.01.079.

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28

Zacur, Ernesto, Matias Bossa, and Salvador Olmos. "Multivariate Tensor-Based Morphometry with a Right-Invariant Riemannian Distance on GL+(n)." Journal of Mathematical Imaging and Vision 50, no. 1-2 (December 13, 2013): 18–31. http://dx.doi.org/10.1007/s10851-013-0479-7.

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29

Lepore, N., C. Brun, Yi-Yu Chou, Ming-Chang Chiang, R. A. Dutton, K. M. Hayashi, E. Luders, et al. "Generalized Tensor-Based Morphometry of HIV/AIDS Using Multivariate Statistics on Deformation Tensors." IEEE Transactions on Medical Imaging 27, no. 1 (January 2008): 129–41. http://dx.doi.org/10.1109/tmi.2007.906091.

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30

Kielar, Catherine, Stephen J. Sawiak, Paloma Navarro Negredo, Desmond H. Y. Tse, and A. Jennifer Morton. "Tensor-Based Morphometry and Stereology Reveal Brain Pathology in the Complexin1 Knockout Mouse." PLoS ONE 7, no. 2 (February 29, 2012): e32636. http://dx.doi.org/10.1371/journal.pone.0032636.

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31

Kipps, C. M. "Progression of structural neuropathology in preclinical Huntington's disease: a tensor based morphometry study." Journal of Neurology, Neurosurgery & Psychiatry 76, no. 5 (May 1, 2005): 650–55. http://dx.doi.org/10.1136/jnnp.2004.047993.

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32

Padovani, A. "Diffusion tensor imaging and voxel based morphometry study in early progressive supranuclear palsy." Journal of Neurology, Neurosurgery & Psychiatry 77, no. 4 (April 1, 2006): 457–63. http://dx.doi.org/10.1136/jnnp.2005.075713.

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33

Sadeghi, Neda, Filippo Arrigoni, Maria Grazia D'Angelo, Cibu Thomas, M. Okan Irfanoglu, Elizabeth B. Hutchinson, Amritha Nayak, Pooja Modi, Maria Teresa Bassi, and Carlo Pierpaoli. "Tensor‐based morphometry using scalar and directional information of diffusion tensor MRI data (DTBM): Application to hereditary spastic paraplegia." Human Brain Mapping 39, no. 12 (September 25, 2018): 4643–51. http://dx.doi.org/10.1002/hbm.24278.

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34

Fujishima, Motonobu, Norihide Maikusa, Noriko Chida, Hiroshi Matsuda, Fumio Yamashita, and Takeshi Iwatsubo. "P2-089: Machine-learning classification of MR scans in Alzheimer's disease based on tensor-based morphometry." Alzheimer's & Dementia 9 (July 2013): P375. http://dx.doi.org/10.1016/j.jalz.2013.05.732.

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35

Lvov, Viktor S., Aleksandr V. Pozdnyakov, Dmitry O. Ivanov, Alexey I. Tashilkin, Leonid M. Makarov, Ol’ga F. Pozdnyakova, Tat'yana V. Melashenko, Lyubov’ B. Bessonova, Pavel A. Popov, and Viktoriya Yu Aleksandrovich. "Capabilities of voxel based morphometry and diffusion tensor imaging in diagnostics of bilateral spastic forms of cerebral palsy." Pediatrician (St. Petersburg) 10, no. 1 (December 15, 2019): 29–36. http://dx.doi.org/10.17816/ped10129-36.

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The aim of the study was to determine the capabilities of magnetic resonance morphometry and diffusion tensor imaging in the diagnosis of bilateral spastic forms of cerebral palsy in children. The main groups were 33 children aged from 1 year to 4 years 5 months. with bilateral spastic forms of cerebral palsy, the comparison group – 11 children who did not have movement disorders. The patients underwent magnetic resonance morphometry, diffusion tensor imaging. A comparison was made between the volumes of brain structures and diffusion values between groups. Significant differences (p < 0,05) were found in the volumes of the right lateral, 3rd ventricles, white matter, thalamuses, globus pallidus, putamen, hippocampus. Significant differences (p < 0,05) in diffusion values in the thalamuses and in the posterior limb of internal capsules were also identified. The correlation of the identified changes with the clinic of the disease was demonstrated. The obtained data demonstrate wide possibilities and high diagnostic value in the detection of bilateral spastic forms of cerebral palsy in children.
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36

Lehmbeck, Jan T., Stefanie Brassen, Wolfgang Weber-Fahr, and Dieter F. Braus. "Combining voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes." NeuroReport 17, no. 5 (April 2006): 467–70. http://dx.doi.org/10.1097/01.wnr.0000209012.24341.7f.

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37

Lee, Agatha D., Alex D. Leow, Allen Lu, Allan L. Reiss, Scott Hall, Ming-Chang Chiang, Arthur W. Toga, and Paul M. Thompson. "3D pattern of brain abnormalities in Fragile X syndrome visualized using tensor-based morphometry." NeuroImage 34, no. 3 (February 2007): 924–38. http://dx.doi.org/10.1016/j.neuroimage.2006.09.043.

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38

Kim, Junghoon, Brian Avants, Sunil Patel, John Whyte, Branch H. Coslett, John Pluta, John A. Detre, and James C. Gee. "Structural consequences of diffuse traumatic brain injury: A large deformation tensor-based morphometry study." NeuroImage 39, no. 3 (February 2008): 1014–26. http://dx.doi.org/10.1016/j.neuroimage.2007.10.005.

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39

Brambati, S. M., K. P. Rankin, J. Narvid, W. W. Seeley, D. Dean, H. J. Rosen, B. L. Miller, J. Ashburner, and M. L. Gorno-Tempini. "Atrophy progression in semantic dementia with asymmetric temporal involvement: A tensor-based morphometry study." Neurobiology of Aging 30, no. 1 (January 2009): 103–11. http://dx.doi.org/10.1016/j.neurobiolaging.2007.05.014.

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40

Wang, Yalin, Jie Zhang, Boris Gutman, Tony F. Chan, James T. Becker, Howard J. Aizenstein, Oscar L. Lopez, Robert J. Tamburo, Arthur W. Toga, and Paul M. Thompson. "Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS." NeuroImage 49, no. 3 (February 2010): 2141–57. http://dx.doi.org/10.1016/j.neuroimage.2009.10.086.

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41

Thompson, Wesley K., and Dominic Holland. "Bias in tensor based morphometry Stat-ROI measures may result in unrealistic power estimates." NeuroImage 57, no. 1 (July 2011): 1–4. http://dx.doi.org/10.1016/j.neuroimage.2010.11.092.

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42

Takao, Hidemasa, Osamu Abe, Hidenori Yamasue, Shigeki Aoki, Kiyoto Kasai, Hiroki Sasaki, and Kuni Ohtomo. "Aging effects on cerebral asymmetry: a voxel-based morphometry and diffusion tensor imaging study." Magnetic Resonance Imaging 28, no. 1 (January 2010): 65–69. http://dx.doi.org/10.1016/j.mri.2009.05.020.

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43

Narayana, Ponnada A., Sushmita Datta, Guozhi Tao, Joel L. Steinberg, and F. Gerard Moeller. "Effect of cocaine on structural changes in brain: MRI volumetry using tensor-based morphometry." Drug and Alcohol Dependence 111, no. 3 (October 2010): 191–99. http://dx.doi.org/10.1016/j.drugalcdep.2010.04.012.

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44

Tsujimoto, Masashi, Jo Senda, Tetsuro Ishihara, Yoshiki Niimi, Yoshinari Kawai, Naoki Atsuta, Hirohisa Watanabe, Fumiaki Tanaka, Shinji Naganawa, and Gen Sobue. "Behavioral changes in early ALS correlate with voxel-based morphometry and diffusion tensor imaging." Journal of the Neurological Sciences 307, no. 1-2 (August 2011): 34–40. http://dx.doi.org/10.1016/j.jns.2011.05.025.

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45

Whitford, Thomas J., Stuart M. Grieve, Tom F. D. Farrow, Lavier Gomes, John Brennan, Anthony W. F. Harris, Evian Gordon, and Leanne M. Williams. "Volumetric White Matter Abnormalities in First-Episode Schizophrenia: A Longitudinal, Tensor-Based Morphometry Study." American Journal of Psychiatry 164, no. 7 (July 2007): 1082–89. http://dx.doi.org/10.1176/ajp.2007.164.7.1082.

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46

Ke, Xiaoyan, Tianyu Tang, Shanshan Hong, Yueyue Hang, Bing Zou, Huiguo Li, Zhenyu Zhou, et al. "White matter impairments in autism, evidence from voxel-based morphometry and diffusion tensor imaging." Brain Research 1265 (April 2009): 171–77. http://dx.doi.org/10.1016/j.brainres.2009.02.013.

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47

Friese, Uwe, Thomas Meindl, Sabine C. Herpertz, Maximilian F. Reiser, >Harald Hampel, and Stefan J. Teipel. "Diagnostic Utility of Novel MRI-Based Biomarkers for Alzheimer's Disease: Diffusion Tensor Imaging and Deformation-Based Morphometry." Journal of Alzheimer's Disease 20, no. 2 (April 1, 2010): 477–90. http://dx.doi.org/10.3233/jad-2010-1386.

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48

FU, Mei, and Qiang WANG. "The Neural Basis of Intertemporal Choice: Evidences from Voxel-Based Morphometry and Diffusion Tensor Imaging." Advances in Psychological Science 22, no. 4 (2014): 659. http://dx.doi.org/10.3724/sp.j.1042.2014.00659.

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49

Verma, R., S. Mori, D. Shen, P. Yarowsky, J. Zhang, and C. Davatzikos. "Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry." Proceedings of the National Academy of Sciences 102, no. 19 (April 28, 2005): 6978–83. http://dx.doi.org/10.1073/pnas.0407828102.

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50

Agosta, Federica, Maria Luisa Gorno-Tempini, Elisabetta Pagani, Stefania Sala, Domenico Caputo, Michele Perini, Ilaria Bartolomei, Maria Elena Fruguglietti, and Massimo Filippi. "Longitudinal assessment of grey matter contraction in amyotrophic lateral sclerosis: A tensor based morphometry study." Amyotrophic Lateral Sclerosis 10, no. 3 (January 2009): 168–74. http://dx.doi.org/10.1080/17482960802603841.

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