Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 947-958 |
| Number of pages | 12 |
| Journal | Brain Structure and Function |
| Volume | 219 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
Keywords
- Diffusion tensor imaging
- Graph theory
- Multiple system atrophy
- Shape index
- Surface morphology
- White matter degeneration
- adult
- article
- ataxia
- brain atrophy
- brain size
- cerebellum
- cerebellum atrophy
- cerebellum vermis
- clinical article
- controlled study
- female
- human
- interpersonal communication
- male
- middle aged
- motor coordination
- nerve degeneration
- priority journal
- Shy Drager syndrome
- white matter
- aged
- brain mapping
- image processing
- nerve cell network
- nuclear magnetic resonance imaging
- pathology
- procedures
- Adult
- Aged
- Brain Mapping
- Cerebellum
- Female
- Humans
- Image Processing, Computer-Assisted
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Multiple System Atrophy
- Nerve Net
- White Matter
Access to Document
Other files and links
Fingerprint
Dive into the research topics of 'Medullo-ponto-cerebellar white matter degeneration altered brain network organization and cortical morphology in multiple system atrophy'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
Medullo-ponto-cerebellar white matter degeneration altered brain network organization and cortical morphology in multiple system atrophy. / Lu, Chia-Feng; Wang, Po-Shan; Lao, Yuan-Lin et al.
In: Brain Structure and Function, Vol. 219, No. 3, 2014, p. 947-958.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Medullo-ponto-cerebellar white matter degeneration altered brain network organization and cortical morphology in multiple system atrophy
AU - Lu, Chia-Feng
AU - Wang, Po-Shan
AU - Lao, Yuan-Lin
AU - Wu, Hsiu-Mei
AU - Soong, Bing-Wen
AU - Wu, Yu-Te
N1 - 被引用次數：2 Export Date: 31 March 2016 通訊地址: Soong, B.-W.; Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Li-Nong Street, Pei-Tou, Taipei 112, Taiwan; 電子郵件： bwsoong@gmail.com 參考文獻: Achard, S., Bullmore, E., Efficiency and cost of economical brain functional networks (2007) PLoS Comput Biol, 3, pp. e17; Armstrong, R.A., Cairns, N.J., Lantos, P.L., A quantitative study of the pathological changes in white matter in multiple system atrophy (2007) Neuropathology, 27 (3), pp. 221-227. , DOI 10.1111/j.1440-1789.2007.00759.x; Beg, M.F., Miller, M.I., Trouvé, A., Younes, L., Computing large deformation metric mappings via geodesic flows of diffeomorphisms (2005) Int J Comput Vision, 61, pp. 139-157; Brenneis, C., Boesch, S.M., Egger, K.E., Seppi, K., Scherfler, C., Schocke, M., Wenning, G.K., Poewe, W., Cortical atrophy in the cerebellar variant of multiple system atrophy: A voxel-based morphometry study (2006) Mov Disord, 21, pp. 159-165; Bullmore, E., Sporns, O., Complex brain networks: Graph theoretical analysis of structural and functional systems (2009) Nat Rev Neurosci, 10, pp. 186-198; Chen, H., Zhang, T., Guo, L., Li, K., Yu, X., Li, L., Hu, X., Liu, T., Coevolution of gyral folding and structural connection patterns in primate brains (2012) Cereb Cortex, , doi:10.1093/cercor/bhs113; Gilman, S., Wenning, G.K., Low, P.A., Brooks, D.J., Mathias, C.J., Trojanowski, J.Q., Wood, N.W., Vidailhet, M., Second consensus statement on the diagnosis of multiple system atrophy (2008) Neurology, 71, pp. 670-676; Habas, C., Kamdar, N., Nguyen, D., Prater, K., Beckmann, C.F., Menon, V., Greicius, M.D., Distinct cerebellar contributions to intrinsic connectivity networks (2009) J Neurosci, 29, pp. 8586-8594; Habas, P.A., Scott, J.A., Roosta, A., Rajagopalan, V., Kim, K., Rousseau, F., Barkovich, A.J., Studholme, C., Early folding patterns and asymmetries of the normal human brain detected from in utero MRI (2012) Cereb Cortex, 22, pp. 13-25; Harris, A.D., Pereira, R.S., Mitchell, J.R., Hill, M.D., Sevick, R.J., Frayne, R., A comparison of images generated from diffusion-weighted and diffusion-tensor imaging data in hyper-acute stroke (2004) Journal of Magnetic Resonance Imaging, 20 (2), pp. 193-200. , DOI 10.1002/jmri.20116; Hauser, T.-K., Luft, A., Skalej, M., Nagele, T., Kircher, T.T.J., Leube, D.T., Schulz, J.B., Visualization and quantification of disease progression in multiple system atrophy (2006) Movement Disorders, 21 (10), pp. 1674-1681. , DOI 10.1002/mds.21032; Hilgetag, C.C., Barbas, H., Role of mechanical factors in the morphology of the primate cerebral cortex (2006) PLoS Comput Biol, 2, pp. e22; Holmes, G., The cerebellum of man (1939) Brain, 62, pp. 1-30; Hu, H.-H., Guo, W.-Y., Chen, H.-Y., Wang, P.-S., Hung, C.-I., Hsieh, J.-C., Wu, Y.-T., Morphological regionalization using fetal magnetic resonance images of normal developing brains (2009) Eur J Neurosci, 29, pp. 1560-1567; Hu, H.-H., Chen, H.-Y., Hung, C.-I., Guo, W.-Y., Wu, Y.-T., Shape and curvedness analysis of brain morphology using human fetal magnetic resonance images in utero (2013) Brain Struct Funct, , doi:10.1007/s00429-012-0469-3; Ito, M., Watanabe, H., Kawai, Y., Atsuta, N., Tanaka, F., Naganawa, S., Fukatsu, H., Sobue, G., Usefulness of combined fractional anisotropy and apparent diffusion coefficient values for detection of involvement in multiple system atrophy (2007) Journal of Neurology, Neurosurgery and Psychiatry, 78 (7), pp. 722-728. , DOI 10.1136/jnnp.2006.104075; Jernigan, T.L., Archibald, S.L., Fennema-Notestine, C., Gamst, A.C., Stout, J.C., Bonner, J., Hesselink, J.R., Effects of age on tissues and regions of the cerebrum and cerebellum (2001) Neurobiology of Aging, 22 (4), pp. 581-594. , DOI 10.1016/S0197-4580(01)00217-2, PII S0197458001002172; Kanazawa, M., Shimohata, T., Terajima, K., Onodera, O., Tanaka, K., Tsuji, S., Okamoto, K., Nishizawa, M., Quantitative evaluation of brainstem involvement in multiple system atrophy by diffusion-weighted MR imaging (2004) Journal of Neurology, 251 (9), pp. 1121-1124. , DOI 10.1007/s00415-004-0494-0; Kawai, Y., Suenaga, M., Takeda, A., Ito, M., Watanabe, H., Tanaka, F., Kato, K., Sobue, G., Cognitive impairments in multiple system atrophy: MSA-C vs MSA-P (2008) Neurology, 70 (16 PART 2), pp. 1390-1396. , DOI 10.1212/01.wnl.0000310413.04462.6a, PII 0000611420080415100005; Kelly, R.M., Strick, P.L., Cerebellar loops with motor cortex and prefrontal cortex of a nonhuman primate (2003) Journal of Neuroscience, 23 (23), pp. 8432-8444; Kochunov, P., Mangin, J.-F., Coyle, T., Lancaster, J., Thompson, P., Riviere, D., Cointepas, Y., Fox, P.T., Age-related morphology trends of cortical sulci (2005) Human Brain Mapping, 26 (3), pp. 210-220. , DOI 10.1002/hbm.20198; Koenderink, J.J., Van Doorn, A.J., Surface shape and curvature scales (1992) Image Vis Comput, 10, pp. 557-564; Latora, V., Marchiori, M., Efficient behavior of small-world networks (2001) Phys Rev Lett, 87, p. 198701; Le Gros Clark, W., (1945) Deformation Patterns in the Cerebral Cortex: Essays on Growth and Form, , Oxford University Press, London; Lee, Y.-C., Liao, Y.-C., Wang, P.-S., Lee, I.H., Lin, K.-P., Soong, B.-W., Comparison of cerebellar ataxias: A three-year prospective longitudinal assessment (2011) Mov Disord, 26, pp. 2081-2087; Li, K., Guo, L., Li, G., Nie, J., Faraco, C., Cui, G., Zhao, Q., Liu, T., Gyral folding pattern analysis via surface profiling (2010) NeuroImage, 52, pp. 1202-1214; Lindblad, J., Surface area estimation of digitized 3D objects using weighted local configurations (2005) Image Vis Comput, 23, pp. 111-122; Lu, C.-F., Soong, B.-W., Wu, H.-M., Teng, S., Wang, P.-S., Wu, Y.-T., Disrupted cerebellar connectivity reduces whole-brain network efficiency in multiple system atrophy (2013) Mov Disord, 28, pp. 362-369; Mori, M., Crain, B.J., Chacko, V.P., Van Zijl, P.C.M., Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging (1999) Annals of Neurology, 45 (2), pp. 265-269. , DOI 10.1002/1531-8249(199902)45:2<265::AID-ANA21; Mori, S., Wakana, S., Nagae-Poetscher, L., Zijl, P.V., (2006) MRI Atlas of Human White Matter, , Elsevier, Amsterdam; Mota, B., Herculano-Houzel, S., How the cortex gets its folds: An inside-out, connectivity-drivenmodel for the scaling of mammalian cortical folding (2012) Front Neuroanat, , doi:10.3389/fnana.2012.00003; O'Reilly, J.X., Beckmann, C.F., Tomassini, V., Ramnani, N., Johansen-Berg, H., Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity (2010) Cereb Cortex, 20, pp. 953-965; Papp, M.I., Kahn, J.E., Lantos, P.L., Glial cytoplasmic inclusions in the CNS of patients with multiple system atrophy (striatonigral degeneration, olivopontocerebellar atrophy and Shy-Drager syndrome) (1989) Journal of the Neurological Sciences, 94 (1-3), pp. 79-100. , DOI 10.1016/0022-510X(89)90219-0; Quinn, N., Multiple system atrophy - The nature of the beast (1989) J Neurol Neurosurg Psychiatry, 52, pp. 78-89; Rajagopalan, V., Scott, J., Habas, P.A., Kim, K., Corbett-Detig, J., Rousseau, F., Barkovich, A.J., Studholme, C., Local tissue growth patterns underlying normal fetal human brain gyrification quantified in utero (2011) J Neurosci, 31, pp. 2878-2887; Ramnani, N., The primate cortico-cerebellar system: Anatomy and function (2006) Nat Rev Neurosci, 7, pp. 511-522; Ramnani, N., Behrens, T.E.J., Johansen-Berg, H., Richter, M.C., Pinsk, M.A., Andersson, J.L.R., Rudebeck, P., Matthews, P.M., The evolution of prefrontal inputs to the cortico-pontine system: Diffusion imaging evidence from macaque monkeys and humans (2006) Cerebral Cortex, 16 (6), pp. 811-818. , DOI 10.1093/cercor/bhj024; Rubinov, M., Sporns, O., Complex network measures of brain connectivity: Uses and interpretations (2010) NeuroImage, 52, pp. 1059-1069; Schmahmann, J.D., An emerging concept: The cerebellar contribution to higher function (1991) Arch Neurol, 48, pp. 1178-1187; Schmahmann, J.D., From movement to thought: Anatomic substrates of the cerebellar contribution to cognitive processing (1996) Hum Brain Mapp, 4, pp. 174-198; Schmahmann, J.D., Disorders of the cerebellum: Ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome (2004) J Neuropsychiatry Clin Neurosci, 16, pp. 367-378; Schmahmann, J.D., Pandya, D.N., Anatomical investigation of projections to the basis pontis from posterior parietal association cortices in rhesus monkey (1989) Journal of Comparative Neurology, 289 (1), pp. 53-73; Schmahmann, J.D., Sherman, J.C., The cerebellar cognitive affective syndrome (1998) Brain, 121 (4), pp. 561-579. , DOI 10.1093/brain/121.4.561; Schmitz-Hübsch, T., Scale for the assessment and rating of ataxia (2006) Neurology, 66, pp. 1717-1720; Shiga, K., Yamada, K., Yoshikawa, K., Mizuno, T., Nishimura, T., Nakagawa, M., Local tissue anisotropy decreases in cerebellopetal fibers and pyramidal tract in multiple system atrophy (2005) Journal of Neurology, 252 (5), pp. 589-596. , DOI 10.1007/s00415-005-0708-0; Specht, K., Minnerop, M., Muller-Hubenthal, J., Klockgether, T., Voxel-based analysis of multiple-system atrophy of cerebellar type: Complementary results by combining voxel-based morphometry and voxel-based relaxometry (2005) NeuroImage, 25 (1), pp. 287-293. , DOI 10.1016/j.neuroimage.2004.11.022; Symonds, L.L., Archibald, S.L., Grant, I., Zisook, S., Jernigan, T.L., Does an increase in sulcal or ventricular fluid predict where brain tissue is lost? (1999) J Neuroimaging: Off J Am Soc Neuroimaging, 9, pp. 201-209; Takahashi, E., Folkerth, R.D., Galaburda, A.M., Grant, P.E., Emerging cerebral connectivity in the human fetal brain: An MR tractography study (2012) Cereb Cortex, 22, pp. 455-464; Thirion, J.-P., Gourdon, A., Computing the differential characteristics of isointensity surfaces (1995) Comput Vis Image Underst, 61, pp. 190-202; Tu, P.-H., Galvin, J.E., Baba, M., Giasson, B., Tomita, T., Leight, S., Nakajo, S., Lee, V.M.-Y., Glial cytoplasmic inclusions in white matter oligodendrocytes of multiple system atrophy brains contain insoluble α-synuclein (1998) Annals of Neurology, 44 (3), pp. 415-422. , DOI 10.1002/ana.410440324; Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., Joliot, M., Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain (2002) NeuroImage, 15 (1), pp. 273-289. , DOI 10.1006/nimg.2001.0978; Van Essen, D.C., A tension-based theory of morphogenesis and compact wiring in the central nervous system (1997) Nature, 385, pp. 313-318; Voogd, J., Glickstein, M., The anatomy of the cerebellum (1998) Trends in Cognitive Sciences, 2 (9), pp. 307-313. , DOI 10.1016/S1364-6613(98)01210-8, PII S1364661398012108; Wenning, G.K., Colosimo, C., Geser, F., Poewe, W., Multiple system atrophy (2004) Lancet Neurology, 3 (2), pp. 93-103. , DOI 10.1016/S1474-4422(03)00662-8; Woods, R.P., Grafton, S.T., Holmes, C.J., Cherry, S.R., Mazziotta, J.C., Automated image registration: I. General methods and intrasubject, intramodality validation (1998) Journal of Computer Assisted Tomography, 22 (1), pp. 139-152. , DOI 10.1097/00004728-199801000-00027; Wu, Y.-T., Shyu, K.-K., Jao, C.-W., Wang, Z.-Y., Soong, B.-W., Wu, H.-M., Wang, P.-S., Fractal dimension analysis for quantifying cerebellar morphological change of multiple system atrophy of the cerebellar type (MSA-C) (2010) NeuroImage, 49, pp. 539-551; Wu, Y.-T., Shyu, K.-K., Jao, C.-W., Liao, Y.-L., Wang, T.-Y., Wu, H.-M., Wang, P.-S., Soong, B.-W., Quantifying cerebellar atrophy in multiple system atrophy of the cerebellar type (MSA-C) using three-dimensional gyrification index analysis (2012) NeuroImage, 61, pp. 1-9
PY - 2014
Y1 - 2014
N2 - The cerebellum involves diverse functions from motor coordination to higher cognitive functions. Impairment of the cerebellum can cause ataxia and cerebellar cognitive affective syndrome. Multiple system atrophy of the cerebellar type (MSA-C) is a neurodegenerative disorder with atrophy of medullo-ponto-cerebellar (MPC) white matter (WM). To understand the role of the cerebellum from the perspective of the local structure to the global function in the presence of MPC WM degeneration, we acquired T1-weighted and diffusion tensor images for 17 patients with MSA-C and 19 normal controls. We concurrently used the measures of local morphology, including MPC WM volume and inner surface area, and properties of global network organization based on graph theory for the MSA-C and control groups. The results showed that MPC WM degeneration caused the destruction of cerebello-ponto-cerebral loops, resulting in reduced communication efficiency between regions in the whole-brain network. In addition, the sulcal area of the inner cortical surface in the cerebellum decreased linearly with the MPC WM volume, and the inferoposterior lobe exhibited a steeper atrophy rate than that of vermis regions. We concluded that the integrity of MPC WM is critical in sustaining the local morphology and the global functions of the whole-brain fiber network. © 2013 Springer-Verlag.
AB - The cerebellum involves diverse functions from motor coordination to higher cognitive functions. Impairment of the cerebellum can cause ataxia and cerebellar cognitive affective syndrome. Multiple system atrophy of the cerebellar type (MSA-C) is a neurodegenerative disorder with atrophy of medullo-ponto-cerebellar (MPC) white matter (WM). To understand the role of the cerebellum from the perspective of the local structure to the global function in the presence of MPC WM degeneration, we acquired T1-weighted and diffusion tensor images for 17 patients with MSA-C and 19 normal controls. We concurrently used the measures of local morphology, including MPC WM volume and inner surface area, and properties of global network organization based on graph theory for the MSA-C and control groups. The results showed that MPC WM degeneration caused the destruction of cerebello-ponto-cerebral loops, resulting in reduced communication efficiency between regions in the whole-brain network. In addition, the sulcal area of the inner cortical surface in the cerebellum decreased linearly with the MPC WM volume, and the inferoposterior lobe exhibited a steeper atrophy rate than that of vermis regions. We concluded that the integrity of MPC WM is critical in sustaining the local morphology and the global functions of the whole-brain fiber network. © 2013 Springer-Verlag.
KW - Diffusion tensor imaging
KW - Graph theory
KW - Multiple system atrophy
KW - Shape index
KW - Surface morphology
KW - White matter degeneration
KW - adult
KW - article
KW - ataxia
KW - brain atrophy
KW - brain size
KW - cerebellum
KW - cerebellum atrophy
KW - cerebellum vermis
KW - clinical article
KW - controlled study
KW - female
KW - human
KW - interpersonal communication
KW - male
KW - middle aged
KW - motor coordination
KW - nerve degeneration
KW - priority journal
KW - Shy Drager syndrome
KW - white matter
KW - aged
KW - brain mapping
KW - image processing
KW - nerve cell network
KW - nuclear magnetic resonance imaging
KW - pathology
KW - procedures
KW - Adult
KW - Aged
KW - Brain Mapping
KW - Cerebellum
KW - Female
KW - Humans
KW - Image Processing, Computer-Assisted
KW - Magnetic Resonance Imaging
KW - Male
KW - Middle Aged
KW - Multiple System Atrophy
KW - Nerve Net
KW - White Matter
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84902361634&partnerID=40&md5=6e319302d8a621cad1c6361091619629
UR - https://www.scopus.com/results/citedbyresults.uri?sort=plf-f&cite=2-s2.0-84902361634&src=s&imp=t&sid=708b0b4c92da525322f38f573e36fba3&sot=cite&sdt=a&sl=0&origin=recordpage&editSaveSearch=&txGid=a75da27cefb70b3ac6ffe65f8040a899
U2 - 10.1007/s00429-013-0545-3
DO - 10.1007/s00429-013-0545-3
M3 - Article
SN - 0177-5154
VL - 219
SP - 947
EP - 958
JO - Referate und Beiträge zur Anatomie und Entwickelungsgeschichte
JF - Referate und Beiträge zur Anatomie und Entwickelungsgeschichte
IS - 3
ER -