Skip to main content
Top
Published in: Journal of Neurology 5/2024

28-01-2024 | Amyotrophic Lateral Sclerosis | Original Communication

Mismatch between clinically defined classification of ALS stage and the burden of cerebral pathology

Authors: Pedram Parnianpour, Michael Benatar, Hannah Briemberg, Avyarthana Dey, Annie Dionne, Nicolas Dupré, Karleyton C. Evans, Richard Frayne, Angela Genge, Simon J. Graham, Lawrence Korngut, Donald G. McLaren, Peter Seres, Robert C. Welsh, Alan Wilman, Lorne Zinman, Sanjay Kalra

Published in: Journal of Neurology | Issue 5/2024

Login to get access

Abstract

This study aimed to investigate the clinical stratification of amyotrophic lateral sclerosis (ALS) patients in relation to in vivo cerebral degeneration. One hundred forty-nine ALS patients and one hundred forty-four healthy controls (HCs) were recruited from the Canadian ALS Neuroimaging Consortium (CALSNIC). Texture analysis was performed on T1-weighted scans to extract the texture feature “autocorrelation” (autoc), an imaging biomarker of cerebral degeneration. Patients were stratified at baseline into early and advanced disease stages based on criteria adapted from ALS clinical trials and the King’s College staging system, as well as into slow and fast progressors (disease progression rates, DPR). Patients had increased autoc in the internal capsule. These changes extended beyond the internal capsule in early-stage patients (clinical trial-based criteria), fast progressors, and in advanced-stage patients (King’s staging criteria). Longitudinal increases in autoc were observed in the postcentral gyrus, corticospinal tract, posterior cingulate cortex, and putamen; whereas decreases were observed in corpus callosum, caudate, central opercular cortex, and frontotemporal areas. Both longitudinal increases and decreases of autoc were observed in non-overlapping regions within insula and precentral gyrus. Within-criteria comparisons of autoc revealed more pronounced changes at baseline and longitudinally in early- (clinical trial-based criteria) and advanced-stage (King’s staging criteria) patients and fast progressors. In summary, comparative patterns of baseline and longitudinal progression in cerebral degeneration are dependent on sub-group selection criteria, with clinical trial-based stratification insufficiently characterizing disease stage based on pathological cerebral burden.
Appendix
Available only for authorised users
Literature
1.
go back to reference Pupillo E et al (2014) Long-term survival in amyotrophic lateral sclerosis: a population-based study. Ann Neurol 75(2):287–297PubMed Pupillo E et al (2014) Long-term survival in amyotrophic lateral sclerosis: a population-based study. Ann Neurol 75(2):287–297PubMed
2.
go back to reference Hardiman O et al (2017) Amyotrophic lateral sclerosis. Nat Rev Dis Prim 3(1):1–19 Hardiman O et al (2017) Amyotrophic lateral sclerosis. Nat Rev Dis Prim 3(1):1–19
3.
go back to reference Menke RAL et al (2014) Widespread grey matter pathology dominates the longitudinal cerebral MRI and clinical landscape of amyotrophic lateral sclerosis. Brain 137(Pt 9):2546–2555PubMedPubMedCentral Menke RAL et al (2014) Widespread grey matter pathology dominates the longitudinal cerebral MRI and clinical landscape of amyotrophic lateral sclerosis. Brain 137(Pt 9):2546–2555PubMedPubMedCentral
4.
go back to reference Agosta F et al (2012) The cortical signature of amyotrophic lateral sclerosis. PLoS One 7(8):1–8 Agosta F et al (2012) The cortical signature of amyotrophic lateral sclerosis. PLoS One 7(8):1–8
5.
go back to reference D’Ambrosio A et al (2014) Frontotemporal cortical thinning in amyotrophic lateral sclerosis. Am J Neuroradiol 35(2):304–310PubMedPubMedCentral D’Ambrosio A et al (2014) Frontotemporal cortical thinning in amyotrophic lateral sclerosis. Am J Neuroradiol 35(2):304–310PubMedPubMedCentral
6.
go back to reference Cirillo M et al (2012) Widespread microstructural white matter involvement in amyotrophic lateral sclerosis: a whole-brain DTI study. AJNR Am J Neuroradiol 33(6):1102–1108PubMedPubMedCentral Cirillo M et al (2012) Widespread microstructural white matter involvement in amyotrophic lateral sclerosis: a whole-brain DTI study. AJNR Am J Neuroradiol 33(6):1102–1108PubMedPubMedCentral
7.
go back to reference Kasper E et al (2014) Microstructural White matter changes underlying cognitive and behavioural impairment in ALS—an in vivo study using DTI. PLoS One 9(12):e114543PubMedPubMedCentral Kasper E et al (2014) Microstructural White matter changes underlying cognitive and behavioural impairment in ALS—an in vivo study using DTI. PLoS One 9(12):e114543PubMedPubMedCentral
8.
go back to reference Floeter MK, Bageac D, Danielian LE, Braun LE, Traynor BJ, Kwan JY (2016) Longitudinal imaging in C9orf72 mutation carriers: relationship to phenotype. NeuroImage Clin 12:1035–1043PubMedPubMedCentral Floeter MK, Bageac D, Danielian LE, Braun LE, Traynor BJ, Kwan JY (2016) Longitudinal imaging in C9orf72 mutation carriers: relationship to phenotype. NeuroImage Clin 12:1035–1043PubMedPubMedCentral
9.
go back to reference Van Der Graaff MM et al (2011) Upper and extra-motoneuron involvement in early motoneuron disease: a diffusion tensor imaging study. Brain 134(4):1211–1228PubMed Van Der Graaff MM et al (2011) Upper and extra-motoneuron involvement in early motoneuron disease: a diffusion tensor imaging study. Brain 134(4):1211–1228PubMed
10.
go back to reference Floeter MK, Danielian LE, Braun LE, Wu T (2018) Longitudinal diffusion imaging across the C9orf72 clinical spectrum. J Neurol Neurosurg Psychiatry 89(1):53–60PubMed Floeter MK, Danielian LE, Braun LE, Wu T (2018) Longitudinal diffusion imaging across the C9orf72 clinical spectrum. J Neurol Neurosurg Psychiatry 89(1):53–60PubMed
11.
go back to reference Schuster C et al (2014) Cortical thinning and its relation to cognition in amyotrophic lateral sclerosis. Neurobiol Aging 35(1):240–246PubMed Schuster C et al (2014) Cortical thinning and its relation to cognition in amyotrophic lateral sclerosis. Neurobiol Aging 35(1):240–246PubMed
12.
go back to reference Walhout R et al (2015) Cortical thickness in ALS: towards a marker for upper motor neuron involvement. J Neurol Neurosurg Psychiatry 86(3):288–294PubMed Walhout R et al (2015) Cortical thickness in ALS: towards a marker for upper motor neuron involvement. J Neurol Neurosurg Psychiatry 86(3):288–294PubMed
13.
go back to reference Kassubek J et al (2018) Imaging the pathoanatomy of amyotrophic lateral sclerosis in vivo: targeting a propagation-based biological marker. J Neurol Neurosurg Psychiatry 89(4):374–381PubMed Kassubek J et al (2018) Imaging the pathoanatomy of amyotrophic lateral sclerosis in vivo: targeting a propagation-based biological marker. J Neurol Neurosurg Psychiatry 89(4):374–381PubMed
14.
15.
go back to reference Querin G et al (2019) Presymptomatic spinal cord pathology in c9orf72 mutation carriers: a longitudinal neuroimaging study. Ann Neurol 86(2):158–167PubMed Querin G et al (2019) Presymptomatic spinal cord pathology in c9orf72 mutation carriers: a longitudinal neuroimaging study. Ann Neurol 86(2):158–167PubMed
16.
go back to reference Kassner A, Thornhill RE (2010) Texture analysis: a review of neurologic MR imaging applications. Am J Neuroradiol 31(5):809–816PubMedPubMedCentral Kassner A, Thornhill RE (2010) Texture analysis: a review of neurologic MR imaging applications. Am J Neuroradiol 31(5):809–816PubMedPubMedCentral
17.
go back to reference Haralick RM, Dinstein I, Shanmugam K (1973) Textural features for image classification. IEEE Trans Syst Man Cybern 3(6):610–621 Haralick RM, Dinstein I, Shanmugam K (1973) Textural features for image classification. IEEE Trans Syst Man Cybern 3(6):610–621
19.
go back to reference Ishaque A et al (2018) Texture analysis to detect cerebral degeneration in amyotrophic lateral sclerosis. Can J Neurol Sci 45(5):533–539PubMed Ishaque A et al (2018) Texture analysis to detect cerebral degeneration in amyotrophic lateral sclerosis. Can J Neurol Sci 45(5):533–539PubMed
20.
go back to reference Ishaque A et al (2019) Corticospinal tract degeneration in ALS unmasked in T1-weighted images using texture analysis. Hum Brain Mapp 40(4):1174–1183PubMed Ishaque A et al (2019) Corticospinal tract degeneration in ALS unmasked in T1-weighted images using texture analysis. Hum Brain Mapp 40(4):1174–1183PubMed
21.
go back to reference Ishaque A et al (2022) Distinct patterns of progressive gray and white matter degeneration in amyotrophic lateral sclerosis. Hum Brain Mapp 43(5):1519–1534PubMed Ishaque A et al (2022) Distinct patterns of progressive gray and white matter degeneration in amyotrophic lateral sclerosis. Hum Brain Mapp 43(5):1519–1534PubMed
22.
go back to reference Brooks BR, Miller RG, Swash M, Munsat TL, World Federation of Neurology Research Group on Motor Neuron Diseases (2000) “El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis”, Amyotroph. Lateral Scler Other Motor Neuron Disord 1(5):293–9 Brooks BR, Miller RG, Swash M, Munsat TL, World Federation of Neurology Research Group on Motor Neuron Diseases (2000) “El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis”, Amyotroph. Lateral Scler Other Motor Neuron Disord 1(5):293–9
23.
go back to reference Cedarbaum JM et al (1999) The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. J Neurol Sci 169(1–2):13–21PubMed Cedarbaum JM et al (1999) The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. J Neurol Sci 169(1–2):13–21PubMed
25.
go back to reference Balendra R et al (2014) Estimating clinical stage of amyotrophic lateral sclerosis from the ALS functional rating scale. Amyotroph Lateral Scler Front Degener 15(3–4):279–284 Balendra R et al (2014) Estimating clinical stage of amyotrophic lateral sclerosis from the ALS functional rating scale. Amyotroph Lateral Scler Front Degener 15(3–4):279–284
26.
go back to reference Abrahams S, Newton J, Niven E, Foley J, Bak TH (2014) Screening for cognition and behaviour changes in ALS. Amyotroph Lateral Scler Front Degener 15(1–2):9–14 Abrahams S, Newton J, Niven E, Foley J, Bak TH (2014) Screening for cognition and behaviour changes in ALS. Amyotroph Lateral Scler Front Degener 15(1–2):9–14
27.
go back to reference Bensimon G, Lacomblez L, Meininger V (1994) A controlled trial of riluzole in amyotrophic lateral sclerosis. N Engl J Med 330(9):585–591PubMed Bensimon G, Lacomblez L, Meininger V (1994) A controlled trial of riluzole in amyotrophic lateral sclerosis. N Engl J Med 330(9):585–591PubMed
28.
go back to reference Abe K et al (2017) Safety and efficacy of edaravone in well defined patients with amyotrophic lateral sclerosis: a randomised, double-blind, placebo-controlled trial. Lancet Neurol 16(7):505–512 Abe K et al (2017) Safety and efficacy of edaravone in well defined patients with amyotrophic lateral sclerosis: a randomised, double-blind, placebo-controlled trial. Lancet Neurol 16(7):505–512
29.
go back to reference Ta D et al (2021) Progressive neurochemical abnormalities in cognitive and motor subgroups of amyotrophic lateral sclerosis. Neurology 97(8):e803PubMedPubMedCentral Ta D et al (2021) Progressive neurochemical abnormalities in cognitive and motor subgroups of amyotrophic lateral sclerosis. Neurology 97(8):e803PubMedPubMedCentral
30.
go back to reference Fang T et al (2017) Comparison of the King’s and MiToS staging systems for ALS. Amyotroph Lateral Scler Frontotemporal Degener 18(3–4):227PubMedPubMedCentral Fang T et al (2017) Comparison of the King’s and MiToS staging systems for ALS. Amyotroph Lateral Scler Frontotemporal Degener 18(3–4):227PubMedPubMedCentral
33.
go back to reference Ashburner J (2007) A fast diffeomorphic image registration algorithm. Neuroimage 38(1):95–113PubMed Ashburner J (2007) A fast diffeomorphic image registration algorithm. Neuroimage 38(1):95–113PubMed
34.
go back to reference Fortin JP et al (2017) Harmonization of multi-site diffusion tensor imaging data. Neuroimage 161:149–170PubMed Fortin JP et al (2017) Harmonization of multi-site diffusion tensor imaging data. Neuroimage 161:149–170PubMed
35.
go back to reference Johnson WE, Li C, Rabinovic A (2007) Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 8(1):118–127PubMed Johnson WE, Li C, Rabinovic A (2007) Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 8(1):118–127PubMed
36.
go back to reference Tahedl M et al (2023) Brainstem–cortex disconnection in amyotrophic lateral sclerosis: bulbar impairment, genotype associations, asymptomatic changes and biomarker opportunities. J Neurol 270(7):3511–3526PubMedPubMedCentral Tahedl M et al (2023) Brainstem–cortex disconnection in amyotrophic lateral sclerosis: bulbar impairment, genotype associations, asymptomatic changes and biomarker opportunities. J Neurol 270(7):3511–3526PubMedPubMedCentral
37.
go back to reference Hughes JT (1982) Pathology of amyotrophic lateral sclerosis. Adv Neurol 36:61–74PubMed Hughes JT (1982) Pathology of amyotrophic lateral sclerosis. Adv Neurol 36:61–74PubMed
38.
go back to reference Turner MR, Agosta F, Bede P, Govind V, Lulé D, Verstraete E (2012) Neuroimaging in amyotrophic lateral sclerosis. Biomark Med 6(3):319–337PubMed Turner MR, Agosta F, Bede P, Govind V, Lulé D, Verstraete E (2012) Neuroimaging in amyotrophic lateral sclerosis. Biomark Med 6(3):319–337PubMed
40.
go back to reference Johnson BS, Snead D, Lee JJ, McCaffery JM, Shorter J, Gitler AD (2009) TDP-43 is intrinsically aggregation-prone, and amyotrophic lateral sclerosis-linked mutations accelerate aggregation and increase toxicity. J Biol Chem 284(30):20329–20339PubMedPubMedCentral Johnson BS, Snead D, Lee JJ, McCaffery JM, Shorter J, Gitler AD (2009) TDP-43 is intrinsically aggregation-prone, and amyotrophic lateral sclerosis-linked mutations accelerate aggregation and increase toxicity. J Biol Chem 284(30):20329–20339PubMedPubMedCentral
41.
go back to reference Jucker M, Walker LC (2013) Self-propagation of pathogenic protein aggregates in neurodegenerative diseases. Nature 501(7465):45–51PubMedPubMedCentral Jucker M, Walker LC (2013) Self-propagation of pathogenic protein aggregates in neurodegenerative diseases. Nature 501(7465):45–51PubMedPubMedCentral
42.
go back to reference Verstraete E, Veldink JH, Hendrikse J, Schelhaas HJ, Van Den Heuvel MP, Van Den Berg LH (2012) Structural MRI reveals cortical thinning in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 83(4):383–388PubMed Verstraete E, Veldink JH, Hendrikse J, Schelhaas HJ, Van Den Heuvel MP, Van Den Berg LH (2012) Structural MRI reveals cortical thinning in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 83(4):383–388PubMed
43.
go back to reference Bede P, Hardiman O (2018) Longitudinal structural changes in ALS: a three time-point imaging study of white and gray matter degeneration. Amyotroph Lateral Scler Frontotemporal Degener 19(3–4):232–241PubMed Bede P, Hardiman O (2018) Longitudinal structural changes in ALS: a three time-point imaging study of white and gray matter degeneration. Amyotroph Lateral Scler Frontotemporal Degener 19(3–4):232–241PubMed
45.
go back to reference Cardenas AM et al (2017) Pathology of callosal damage in ALS: an ex-vivo, 7 T diffusion tensor MRI study. NeuroImage Clin 15:200–208PubMedPubMedCentral Cardenas AM et al (2017) Pathology of callosal damage in ALS: an ex-vivo, 7 T diffusion tensor MRI study. NeuroImage Clin 15:200–208PubMedPubMedCentral
46.
go back to reference Sugiyama M et al (2013) Increased number of astrocytes and macrophages/microglial cells in the corpus callosum in amyotrophic lateral sclerosis. Neuropathology 33(6):591–599PubMed Sugiyama M et al (2013) Increased number of astrocytes and macrophages/microglial cells in the corpus callosum in amyotrophic lateral sclerosis. Neuropathology 33(6):591–599PubMed
47.
go back to reference Braak H, Del Tredici K (2018) Anterior cingulate cortex TDP-43 pathology in sporadic amyotrophic lateral sclerosis. J Neuropathol Exp Neurol 77(1):74–83PubMed Braak H, Del Tredici K (2018) Anterior cingulate cortex TDP-43 pathology in sporadic amyotrophic lateral sclerosis. J Neuropathol Exp Neurol 77(1):74–83PubMed
48.
go back to reference Lawyer T, Netsky MG (1953) Amyotrophic lateral sclerosis. AMA Arch Neurol Psychiatry 69(2):171–192PubMed Lawyer T, Netsky MG (1953) Amyotrophic lateral sclerosis. AMA Arch Neurol Psychiatry 69(2):171–192PubMed
49.
50.
go back to reference Kamo H, Haebara H, Akiguchi I, Kameyama M, Kimura H, McGeer PL (1987) A distinctive distribution of reactive astroglia in the precentral cortex in amyotrophic lateral sclerosis. Acta Neuropathol 74(1):33–38PubMed Kamo H, Haebara H, Akiguchi I, Kameyama M, Kimura H, McGeer PL (1987) A distinctive distribution of reactive astroglia in the precentral cortex in amyotrophic lateral sclerosis. Acta Neuropathol 74(1):33–38PubMed
51.
go back to reference Murayama S, Inoue K, Kawakami H, Bouldin TW, Suzuki K (1991) A unique pattern of astrocytosis in the primary motor area in amyotrophic lateral sclerosis. Acta Neuropathol 82(6):456–461PubMed Murayama S, Inoue K, Kawakami H, Bouldin TW, Suzuki K (1991) A unique pattern of astrocytosis in the primary motor area in amyotrophic lateral sclerosis. Acta Neuropathol 82(6):456–461PubMed
52.
go back to reference Sharma KR, Sheriff S, Maudsley A, Govind V (2013) Diffusion tensor imaging of basal ganglia and thalamus in amyotrophic lateral sclerosis. J Neuroimaging 23(3):368–374PubMed Sharma KR, Sheriff S, Maudsley A, Govind V (2013) Diffusion tensor imaging of basal ganglia and thalamus in amyotrophic lateral sclerosis. J Neuroimaging 23(3):368–374PubMed
53.
go back to reference Ta D et al (2020) Reliability of 3D texture analysis: a multicenter MRI study of the brain. J Magn Reson Imaging 51(4):1200–1209PubMed Ta D et al (2020) Reliability of 3D texture analysis: a multicenter MRI study of the brain. J Magn Reson Imaging 51(4):1200–1209PubMed
54.
go back to reference Verstraete E, Turner MR, Grosskreutz J, Filippi M, Benatar M (2015) Mind the gap: the mismatch between clinical and imaging metrics in ALS. Amyotroph Lateral Scler Front Degener 16(7–8):524–529 Verstraete E, Turner MR, Grosskreutz J, Filippi M, Benatar M (2015) Mind the gap: the mismatch between clinical and imaging metrics in ALS. Amyotroph Lateral Scler Front Degener 16(7–8):524–529
55.
go back to reference Qureshi M, Schoenfeld DA, Paliwal Y, Shui A, Cudkowicz ME (2009) The natural history of ALS is changing: improved survival. Amyotroph Lateral Scler 10(5–6):324–331PubMed Qureshi M, Schoenfeld DA, Paliwal Y, Shui A, Cudkowicz ME (2009) The natural history of ALS is changing: improved survival. Amyotroph Lateral Scler 10(5–6):324–331PubMed
56.
go back to reference Miller TM et al (2022) Trial of antisense oligonucleotide tofersen for SOD1 ALS. N Engl J Med 387(12):1099–1110PubMed Miller TM et al (2022) Trial of antisense oligonucleotide tofersen for SOD1 ALS. N Engl J Med 387(12):1099–1110PubMed
58.
go back to reference Tahedl M et al (2022) Propagation patterns in motor neuron diseases: Individual and phenotype-associated disease-burden trajectories across the UMN-LMN spectrum of MNDs. Neurobiol Aging 109:78–87PubMed Tahedl M et al (2022) Propagation patterns in motor neuron diseases: Individual and phenotype-associated disease-burden trajectories across the UMN-LMN spectrum of MNDs. Neurobiol Aging 109:78–87PubMed
Metadata
Title
Mismatch between clinically defined classification of ALS stage and the burden of cerebral pathology
Authors
Pedram Parnianpour
Michael Benatar
Hannah Briemberg
Avyarthana Dey
Annie Dionne
Nicolas Dupré
Karleyton C. Evans
Richard Frayne
Angela Genge
Simon J. Graham
Lawrence Korngut
Donald G. McLaren
Peter Seres
Robert C. Welsh
Alan Wilman
Lorne Zinman
Sanjay Kalra
Publication date
28-01-2024
Publisher
Springer Berlin Heidelberg
Published in
Journal of Neurology / Issue 5/2024
Print ISSN: 0340-5354
Electronic ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-024-12190-x

Other articles of this Issue 5/2024

Journal of Neurology 5/2024 Go to the issue