BACKGROUND: Primary lateral sclerosis is a progressive upper-motor-neuron disorder associated with markedly longer survival than ALS. In contrast to ALS, the genetic susceptibility, histopathological profile and imaging signature of PLS are poorly characterised. Suspected PLS patients often face considerable diagnostic delay and prognostic uncertainty. OBJECTIVE: To characterise the distinguishing clinical, genetic and imaging features of PLS in contrast to ALS and healthy controls. METHODS: A prospective population-based study was conducted with 49 PLS patients, 100 ALS patients and 100 healthy controls using genetic profiling, standardised clinical assessments and neuroimaging. Whole-brain and region-of-interest analyses were undertaken to evaluate patterns of grey and white matter degeneration. RESULTS: In PLS, disease burden in the motor cortex is more medial than in ALS consistent with its lower limb symptom-predominance. PLS is associated with considerable cerebellar white and grey matter degeneration and the extra-motor profile of PLS includes marked insular, inferior frontal and left pars opercularis pathology. Contrary to ALS, PLS spares the postcentral gyrus. The body and splenium of the corpus callosum are preferentially affected in PLS, in contrast to the genu involvement observed in ALS. Clinical measures show anatomically meaningful correlations with imaging metrics in a somatotopic distribution. PLS patients tested negative for C9orf72 repeat expansions, known ALS and HSP-associated genes. CONCLUSIONS: Multiparametric imaging in PLS highlights disease-specific motor and extra-motor involvement distinct from ALS. In a condition where limited post-mortem data are available, imaging offers invaluable pathological insights. Anatomical correlations with clinical metrics confirm the biomarker potential of quantitative neuroimaging in PLS.
BACKGROUND:Primary lateral sclerosis is a progressive upper-motor-neuron disorder associated with markedly longer survival than ALS. In contrast to ALS, the genetic susceptibility, histopathological profile and imaging signature of PLS are poorly characterised. Suspected PLSpatients often face considerable diagnostic delay and prognostic uncertainty. OBJECTIVE: To characterise the distinguishing clinical, genetic and imaging features of PLS in contrast to ALS and healthy controls. METHODS: A prospective population-based study was conducted with 49 PLSpatients, 100 ALS patients and 100 healthy controls using genetic profiling, standardised clinical assessments and neuroimaging. Whole-brain and region-of-interest analyses were undertaken to evaluate patterns of grey and white matter degeneration. RESULTS: In PLS, disease burden in the motor cortex is more medial than in ALS consistent with its lower limb symptom-predominance. PLS is associated with considerable cerebellar white and grey matter degeneration and the extra-motor profile of PLS includes marked insular, inferior frontal and left pars opercularis pathology. Contrary to ALS, PLS spares the postcentral gyrus. The body and splenium of the corpus callosum are preferentially affected in PLS, in contrast to the genu involvement observed in ALS. Clinical measures show anatomically meaningful correlations with imaging metrics in a somatotopic distribution. PLSpatients tested negative for C9orf72 repeat expansions, known ALS and HSP-associated genes. CONCLUSIONS: Multiparametric imaging in PLS highlights disease-specific motor and extra-motor involvement distinct from ALS. In a condition where limited post-mortem data are available, imaging offers invaluable pathological insights. Anatomical correlations with clinical metrics confirm the biomarker potential of quantitative neuroimaging in PLS.
Authors: Peter Bede; Arun L W Bokde; Susan Byrne; Marwa Elamin; Russell L McLaughlin; Kevin Kenna; Andrew J Fagan; Niall Pender; Daniel G Bradley; Orla Hardiman Journal: Neurology Date: 2013-06-14 Impact factor: 9.910
Authors: Johannes Brettschneider; Kelly Del Tredici; Jon B Toledo; John L Robinson; David J Irwin; Murray Grossman; EunRan Suh; Vivianna M Van Deerlin; Elisabeth M Wood; Young Baek; Linda Kwong; Edward B Lee; Lauren Elman; Leo McCluskey; Lubin Fang; Simone Feldengut; Albert C Ludolph; Virginia M-Y Lee; Heiko Braak; John Q Trojanowski Journal: Ann Neurol Date: 2013-06-19 Impact factor: 10.422
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Authors: Avner Meoded; Arthur E Morrissette; Rohan Katipally; Olivia Schanz; Stephen J Gotts; Mary Kay Floeter Journal: Neuroimage Clin Date: 2014-12-09 Impact factor: 4.881
Authors: Stacey Li Hi Shing; Mary Clare McKenna; We Fong Siah; Rangariroyashe H Chipika; Orla Hardiman; Peter Bede Journal: Brain Imaging Behav Date: 2021-01-05 Impact factor: 3.978
Authors: Rangariroyashe H Chipika; We Fong Siah; Mary Clare McKenna; Stacey Li Hi Shing; Orla Hardiman; Peter Bede Journal: J Neurol Date: 2020-10-31 Impact factor: 6.682
Authors: Eoin Finegan; We Fong Siah; Stacey Li Hi Shing; Rangariroyashe H Chipika; Kai Ming Chang; Mary Clare McKenna; Mark A Doherty; Jennifer C Hengeveld; Alice Vajda; Colette Donaghy; Siobhan Hutchinson; Russel L McLaughlin; Orla Hardiman; Peter Bede Journal: Data Brief Date: 2020-09-01