Structural MRI correlates of amyotrophic lateral sclerosis progression

Purpose Amyotrophic lateral sclerosis (ALS) presents with varying degrees of brain degeneration that can extend beyond the corticospinal tract (CST). Furthermore, the clinical course and progression of ALS varies widely. Brain degeneration detected using structural MRI could reflect disease progression. Subjects and methods On study registration, 3-Tesla volumetric MRI and diffusion tensor imaging scans were obtained at baseline in 38 healthy controls and 67 patients with sporadic ALS. Patients had Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R) scores of ≥36 and did not have the chromosome 9, open reading frame 72 repeat expansion. Six months later, changes in ALSFRS-R (ΔALSFRS-R) scores were calculated and patients were grouped into three categories, namely, patients with slow progression with ΔALSFRS-R scores ≤3 (n=19), intermediate progression with ΔALSFRS-R scores =4, 5 and 6 (n=36) and rapid progression with ΔALSFRS-R scores ≥7 (n=12). We analysed voxel-based morphometry and tract-based spatial statistics among these subgroups and controls. Results In comparison with controls, patients with ALS showed grey matter atrophy and decreased fractional anisotropy beyond the motor cortex and CST, especially in the frontotemporal lobes and basal ganglia. Moreover, the degree of change was highly proportional to ΔALSFRS-R at the 6-month assessment. Conclusion A more rapid disease progression and poorer functional decline were associated with greater involvement of the extra-motor cortex and basal ganglia, suggesting that the spatial extent of brain involvement can be an indicator of the progression in ALS.

[1]  G. Sobue,et al.  Marked Involvement of the Striatal Efferent System in TAR DNA-Binding Protein 43 kDa-Related Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosis , 2016, Journal of neuropathology and experimental neurology.

[2]  H. Heinze,et al.  Structural and diffusion imaging versus clinical assessment to monitor amyotrophic lateral sclerosis , 2016, NeuroImage: Clinical.

[3]  Fumiaki Tanaka,et al.  Progressive and widespread brain damage in ALS: MRI voxel-based morphometry and diffusion tensor imaging study , 2011, Amyotrophic lateral sclerosis : official publication of the World Federation of Neurology Research Group on Motor Neuron Diseases.

[4]  M. Filippi,et al.  Assessment of White Matter Tract Damage in Patients with Amyotrophic Lateral Sclerosis: A Diffusion Tensor MR Imaging Tractography Study , 2010, American Journal of Neuroradiology.

[5]  Didier Dormont,et al.  Diffusion tensor imaging and voxel based morphometry study in amyotrophic lateral sclerosis: relationships with motor disability , 2007, Journal of Neurology, Neurosurgery & Psychiatry.

[6]  Michelle M. McCarthy,et al.  Striatal cholinergic interneurons generate beta and gamma oscillations in the corticostriatal circuit and produce motor deficits , 2016, Proceedings of the National Academy of Sciences.

[7]  G. Sobue,et al.  Involvement of the caudate nucleus head and its networks in sporadic amyotrophic lateral sclerosis-frontotemporal dementia continuum , 2016, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[8]  Laura E. Danielian,et al.  Structural imaging differences and longitudinal changes in primary lateral sclerosis and amyotrophic lateral sclerosis☆ , 2012, NeuroImage: Clinical.

[9]  P. Basser,et al.  Toward a quantitative assessment of diffusion anisotropy , 1996, Magnetic resonance in medicine.

[10]  D. Royall,et al.  The FAB: A frontal assessment battery at bedside , 2001, Neurology.

[11]  A. Ludolph,et al.  Amyotrophic lateral sclerosis. , 2012, Current opinion in neurology.

[12]  P. Basser Inferring microstructural features and the physiological state of tissues from diffusion‐weighted images , 1995, NMR in biomedicine.

[13]  Timothy Edward John Behrens,et al.  Investigation of white matter pathology in ALS and PLS using tract‐based spatial statistics , 2009, Human brain mapping.

[14]  Susan Byrne,et al.  Basal ganglia involvement in amyotrophic lateral sclerosis , 2013, Neurology.

[15]  J. Cedarbaum,et al.  The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function , 1999, Journal of the Neurological Sciences.

[16]  H. Heinze,et al.  Central white matter degeneration in bulbar- and limb-onset amyotrophic lateral sclerosis , 2014, Journal of Neurology.

[17]  John L. Robinson,et al.  Clinical and pathological continuum of multisystem TDP-43 proteinopathies. , 2009, Archives of neurology.

[18]  J. Connor,et al.  Biomarker-based predictive models for prognosis in amyotrophic lateral sclerosis. , 2013, JAMA neurology.

[19]  S. Tsuji,et al.  A rapid functional decline type of amyotrophic lateral sclerosis is linked to low expression of TTN , 2016, Journal of Neurology, Neurosurgery & Psychiatry.

[20]  M. Filippi,et al.  Mind the gap: The mismatch between clinical and imaging metrics in ALS , 2015, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[21]  G. Sobue,et al.  Lower motor neuron involvement in TAR DNA-binding protein of 43 kDa-related frontotemporal lobar degeneration and amyotrophic lateral sclerosis. , 2014, JAMA neurology.

[22]  K. Byth,et al.  Rate of disease progression: a prognostic biomarker in ALS , 2015, Journal of Neurology, Neurosurgery & Psychiatry.

[23]  N. Filippini,et al.  Fractional anisotropy in the posterior limb of the internal capsule and prognosis in amyotrophic lateral sclerosis. , 2012, Archives of neurology.

[24]  T. Hanafusa,et al.  Progression rate of ALSFRS-R at time of diagnosis predicts survival time in ALS , 2006, Neurology.

[25]  Y. Kawai,et al.  Behavioral changes in early ALS correlate with voxel-based morphometry and diffusion tensor imaging , 2011, Journal of the Neurological Sciences.

[26]  H. Braak,et al.  Diffusion tensor imaging analysis of sequential spreading of disease in amyotrophic lateral sclerosis confirms patterns of TDP-43 pathology. , 2014, Brain : a journal of neurology.

[27]  M. Swash,et al.  El Escorial revisited: Revised criteria for the diagnosis of amyotrophic lateral sclerosis , 2000, Amyotrophic lateral sclerosis and other motor neuron disorders : official publication of the World Federation of Neurology, Research Group on Motor Neuron Diseases.

[28]  R. Dengler,et al.  Longitudinal diffusion tensor imaging in amyotrophic lateral sclerosis , 2012, BMC Neuroscience.

[29]  A. Alavi,et al.  MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. , 1987, AJR. American journal of roentgenology.

[30]  J. Trojanowski,et al.  Deciphering amyotrophic lateral sclerosis: What phenotype, neuropathology and genetics are telling us about pathogenesis , 2013, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[31]  Hans-Jochen Heinze,et al.  Widespread sensorimotor and frontal cortical atrophy in Amyotrophic Lateral Sclerosis , 2006, BMC neurology.

[32]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[33]  L. Goldstein,et al.  The anatomy of cognitive impairment in amyotrophic lateral sclerosis: More than frontal lobe dysfunction , 2012, Cortex.

[34]  O. Hardiman,et al.  Executive dysfunction is a negative prognostic indicator in patients with ALS without dementia , 2011, Neurology.

[35]  J. Veldink,et al.  Subcortical structures in amyotrophic lateral sclerosis , 2015, Neurobiology of Aging.

[36]  N. Atsuta,et al.  Next-generation sequencing of 28 ALS-related genes in a Japanese ALS cohort , 2016, Neurobiology of Aging.

[37]  S. Tsuji,et al.  Neck weakness is a potent prognostic factor in sporadic amyotrophic lateral sclerosis patients , 2013, Journal of Neurology, Neurosurgery & Psychiatry.

[38]  P. Wong,et al.  Susceptibility-weighted MRI in mild traumatic brain injury , 2015, Neurology.

[39]  S. Ajroud‐Driss,et al.  Sporadic and hereditary amyotrophic lateral sclerosis (ALS). , 2015, Biochimica et biophysica acta.

[40]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[41]  G. Douaud,et al.  Widespread grey matter pathology dominates the longitudinal cerebral MRI and clinical landscape of amyotrophic lateral sclerosis , 2014, Brain : a journal of neurology.

[42]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[43]  Koji Abe,et al.  Age of onset differentially influences the progression of regional dysfunction in sporadic amyotrophic lateral sclerosis , 2016, Journal of Neurology.

[44]  Frans Nollet,et al.  Prognostic factors for the course of functional status of patients with ALS: a systematic review , 2014, Journal of Neurology.

[45]  Murray Grossman,et al.  Stages of pTDP‐43 pathology in amyotrophic lateral sclerosis , 2013, Annals of neurology.

[46]  Massimo Filippi,et al.  Towards a neuroimaging biomarker for amyotrophic lateral sclerosis , 2011, The Lancet Neurology.

[47]  N. Pearce,et al.  Neurofilament light chain , 2015, Neurology.

[48]  D. Goodin,et al.  Dissociating apathy and depression in Parkinson disease , 2006, Neurology.

[49]  Stephen M. Smith,et al.  Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.

[50]  A. L. La Spada,et al.  ALS motor phenotype heterogeneity, focality, and spread , 2009, Neurology.

[51]  A. Maudsley,et al.  Diffusion Tensor Imaging of Basal Ganglia and Thalamus in Amyotrophic Lateral Sclerosis , 2013, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[52]  Harvey J Karten,et al.  Vertebrate brains and evolutionary connectomics: on the origins of the mammalian ‘neocortex’ , 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.

[53]  G. Sobue,et al.  Factors affecting longitudinal functional decline and survival in amyotrophic lateral sclerosis patients , 2015, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[54]  B. Mohammadi,et al.  ALSFRS-R score and its ratio: A useful predictor for ALS-progression , 2008, Journal of the Neurological Sciences.

[55]  Daniel Rueckert,et al.  Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.