Diffusion Tensor Tractography Analysis of the Corpus Callosum Fibers in Amyotrophic Lateral Sclerosis
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Background and Purpose Involvement of the corpus callosum (CC) is reported to be aconsistent feature of amyotrophic lateral sclerosis (ALS). We examined the CC pathology using diffusion tensor tractography analysis to identify precisely which fiber bundles are involvedin ALS. Methods Diffusion tensor imaging was performed in 14 sporadic ALS patients and 16 agematched healthy controls. Whole brain tractography was performed using the multiple-regionof interest (ROI) approach, and CC fiber bundles were extracted in two ways based on functional and structural relevance: (i) cortical ROI selection based on Brodmann areas (BAs), and(ii) the sulcal-gyral pattern of cortical gray matter using FreeSurfer software, respectively. Results The mean fractional anisotropy (FA) values of the CC fibers interconnecting the primary motor (BA4), supplementary motor (BA6), and dorsolateral prefrontal cortex (BA9/46)were significantly lower in ALS patients than in controls, whereas those of the primary sensorycortex (BA1, BA2, BA3), Broca’s area (BA44/45), and the orbitofrontal cortex (BA11/47) didnot differ significantly between the two groups. The FreeSurfer ROI approach revealed a verysimilar pattern of abnormalities. In addition, a significant correlation was found between themean FA value of the CC fibers interconnecting the primary motor area and disease severity, asassessed using the revised Amyotrophic Lateral Sclerosis Functional Rating Scale, and theclinical extent of upper motor neuron signs. Conclusions Our findings suggest that there is some degree of selectivity or a gradient in theCC pathology in ALS. The CC fibers interconnecting the primary motor and dorsolateral prefrontal cortices may be preferentially involved in ALS.
Abstract
Background and Purpose Involvement of the corpus callosum (CC) is reported to be aconsistent feature of amyotrophic lateral sclerosis (ALS). We examined the CC pathology using diffusion tensor tractography analysis to identify precisely which fiber bundles are involvedin ALS. Methods Diffusion tensor imaging was performed in 14 sporadic ALS patients and 16 agematched healthy controls. Whole brain tractography was performed using the multiple-regionof interest (ROI) approach, and CC fiber bundles were extracted in two ways based on functional and structural relevance: (i) cortical ROI selection based on Brodmann areas (BAs), and(ii) the sulcal-gyral pattern of cortical gray matter using FreeSurfer software, respectively. Results The mean fractional anisotropy (FA) values of the CC fibers interconnecting the primary motor (BA4), supplementary motor (BA6), and dorsolateral prefrontal cortex (BA9/46)were significantly lower in ALS patients than in controls, whereas those of the primary sensorycortex (BA1, BA2, BA3), Broca’s area (BA44/45), and the orbitofrontal cortex (BA11/47) didnot differ significantly between the two groups. The FreeSurfer ROI approach revealed a verysimilar pattern of abnormalities. In addition, a significant correlation was found between themean FA value of the CC fibers interconnecting the primary motor area and disease severity, asassessed using the revised Amyotrophic Lateral Sclerosis Functional Rating Scale, and theclinical extent of upper motor neuron signs. Conclusions Our findings suggest that there is some degree of selectivity or a gradient in theCC pathology in ALS. The CC fibers interconnecting the primary motor and dorsolateral prefrontal cortices may be preferentially involved in ALS.
참고문헌 (46)
- Kiernan MC, "Amyotrophic lateral sclerosis", Lancet, 377, pp.942~955 (2011)
- Robberecht W, "The changing scene of amyotrophic lateral sclerosis", Nat Rev Neurosci, 14, pp.248~264 (2013)
- Smith MC, "Nerve fibre degeneration in the brain in amyotrophic lateral sclerosis", J Neurol Neurosurg Psychiatry, 23, pp.269~282 (1960)
- Krampfl K, "Mirror movements and ipsilateral motor evoked potentials in ALS", Amyotroph Lateral Scler Other Motor Neuron Disord, 5, pp.154~163 (2004)
- Wittstock M, "Transcallosal inhibition in amyotrophic lateral sclerosis", Clin Neurophysiol, 118, pp.301~307 (2007)
- Karandreas N, "Impaired interhemispheric inhibition in amyotrophic lateral sclerosis", Amyotroph Lateral Scler, 8, pp.112~118 (2007)
- Yamauchi H, "Corpus callosum atrophy in amyotrophic lateral sclerosis", J Neurol Sci, 134, pp.189~196 (1995)
- Van Zandijcke M, "Involvement of corpus callosum in amyotrophic lateral sclerosis shown by MRI", Neuroradiology, 37, pp.287~288 (1995)
- Beaulieu C, "The basis of anisotropic water diffusion in the nervous system - a technical review", NMR Biomed, 15, pp.435~455 (2002)
- Ciccarelli O, "Investigation of white matter pathology in ALS and PLS using tract-based spatial statistics", Hum Brain Mapp, 30, pp.615~624 (2009)
- Senda J, "Correlation between pyramidal tract degeneration and widespread white matter involvement in amyotrophic lateral sclerosis: a study with tractography and diffusion-tensor imaging", Amyotroph Lateral Scler, 10, pp.288~294 (2009)
- Filippini N, "Corpus callosum involvement is a consistent feature of amyotrophic lateral sclerosis", Neurology, 75, pp.1645~1652 (2010)
- van der Graaff MM, "Upper and extra-motoneuron involvement in early motoneuron disease: a diffusion tensor imaging study", Brain, 134(Pt 4), pp.1211~1228 (2011)
- Iwata NK, "White matter alterations differ in primary lateral sclerosis and amyotrophic lateral sclerosis", Brain, 134(Pt 9), pp.2642~2655 (2011)
- Rose S, "Direct evidence of intra- and interhemispheric corticomotor network degeneration in amyotrophic lateral sclerosis: an automated MRI structural connectivity study", Neuroimage, 59, pp.2661~2669 (2012)
- Huang H, "Analysis of noise effects on DTI-based tractography using the brute-force and multi-ROI approach", Magn Reson Med, 52, pp.559~565 (2004)
- Park HJ, "Corpus callosal connection mapping using cortical gray matter parcellation and DT-MRI", Hum Brain Mapp, 29, pp.503~516 (2008)
- Oh JS, "Thalamo-frontal white matter alterations in chronic schizophrenia:a quantitative diffusion tractography study", Hum Brain Mapp, 30, pp.3812~3825 (2009)
- Brooks BR, "El Escorial revisited:revised criteria for the diagnosis of amyotrophic lateral sclerosis", Amyotroph Lateral Scler Other Motor Neuron Disord, 1, pp.293~299 (2000)
- Cedarbaum JM, "The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. BDNF ALS Study Group (Phase III)", J Neurol Sci, 169, pp.13~21 (1999)
- Hong YH, "Diffusion tensor MRI as a diagnostic tool of upper motor neuron involvement in amyotrophic lateral sclerosis", J Neurol Sci, 227, pp.73~78 (2004)
- Kubicki M, "Voxel-based morphometric analysis of gray matter in first episode schizophrenia", Neuroimage, 17, pp.1711~1719 (2002)
- Brodmann K, "Brodmann’s Localisation in the Cerebral Cortex:the Principles of Comparative Localisation in the Cerebral Cortex Based on the Cytoarchitectonics" (2006), Springer
- Fischl B, "Automatically parcellating the human cerebral cortex", Cereb Cortex, 14, pp.11~22 (2004)
- San José Estépar R, "A kernelbased approach for user-guided fiber bundling using diffusion tensor data", Conf Proc IEEE Eng Med Biol Soc, 1, pp.2626~2629 (2006)
- Chao YP, "Probabilistic topography of human corpus callosum using cytoarchitectural parcellation and high angular resolution diffusion imaging tractography", Hum Brain Mapp, 30, pp.3172~3187 (2009)
- Hagmann P, "MR connectomics: Principles and challenges", J Neurosci Methods, 194, pp.34~45 (2010)
- Aboitiz F, "Fiber composition of the human corpus callosum", Brain Res, 598, pp.143~153 (1992)
- van der Knaap LJ, "How does the corpus callosum mediate interhemispheric transfer? A review", Behav Brain Res, 223, pp.211~221 (2011)
- Kassubek J, "Global brain atrophy and corticospinal tract alterations in ALS, as investigated by voxel-based morphometry of 3-D MRI", Amyotroph Lateral Scler Other Motor Neuron Disord, 6, pp.213~220 (2005)
- Grosskreutz J, "Widespread sensorimotor and frontal cortical atrophy in Amyotrophic Lateral Sclerosis", BMC Neurol, 6, pp.17~ (2006)
- Ellis CM, "Volumetric analysis reveals corticospinal tract degeneration and extramotor involvement in ALS", Neurology, 57, pp.1571~1578 (2001)
- Agosta F, "Voxel-based morphometry study of brain volumetry and diffusivity in amyotrophic lateral sclerosis patients with mild disability", Hum Brain Mapp, 28, pp.1430~1438 (2007)
- Bartels C, "Callosal dysfunction in amyotrophic lateral sclerosis correlates with diffusion tensor imaging of the central motor system", Neuromuscul Disord, 18, pp.398~407 (2008)
- Douaud G, "Integration of structural and functional magnetic resonance imaging in amyotrophic lateral sclerosis", Brain, 134(Pt 12), pp.3470~3479 (2011)
- Brettschneider J, "Stages of pTDP-43 pathology in amyotrophic lateral sclerosis", Ann Neurol, 74, pp.20~38 (2013)
- Eisen A, "Amyotrophic lateral sclerosis-Evolutionary and other perspectives", Muscle Nerve, 40, pp.297~304 (2009)
- Eisen A, "Tools and talk: an evolutionary perspective on the functional deficits associated with amyotrophic lateral sclerosis", Muscle Nerve, 49, pp.469~477 (2014)
- Eisen A, "The split hand syndrome in amyotrophic lateral sclerosis", J Neurol Neurosurg Psychiatry, 83, pp.399~403 (2012)
- Geser F, "Amyotrophic lateral sclerosis, frontotemporal dementia and beyond:the TDP-43 diseases", J Neurol, 256, pp.1205~1214 (2009)
- Witgert M, "Frontal-lobe mediated behavioral dysfunction in amyotrophic lateral sclerosis", Eur J Neurol, 17, pp.103~110 (2010)
- Phukan J, "The syndrome of cognitive impairment in amyotrophic lateral sclerosis:a population-based study", J Neurol Neurosurg Psychiatry, 83, pp.102~108 (2012)
- Phukan J, "Cognitive impairment in amyotrophic lateral sclerosis", Lancet Neurol, 6, pp.994~1003 (2007)
- Meier SL, "Cognitive and behavioural deficits associated with the orbitomedial prefrontal cortex in amyotrophic lateral sclerosis", Brain, 133, pp.3444~3457 (2010)
- Wedeen VJ, "Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers", Neuroimage, 41, pp.1267~1277 (2008)
- Jbabdi S, "A Bayesian framework for global tractography", Neuroimage, 37, pp.116~129 (2007)
