Not a benign motor neuron disease: longitudinal imaging captures relentless motor connectome disintegration in primary lateral sclerosis.


Journal

European journal of neurology
ISSN: 1468-1331
Titre abrégé: Eur J Neurol
Pays: England
ID NLM: 9506311

Informations de publication

Date de publication:
05 2023
Historique:
revised: 20 01 2023
received: 29 12 2022
accepted: 26 01 2023
medline: 6 4 2023
pubmed: 6 2 2023
entrez: 5 2 2023
Statut: ppublish

Résumé

Primary lateral sclerosis (PLS) is a progressive upper motor neuron disorder associated with considerable clinical disability. Symptoms are typically exclusively linked to primary motor cortex degeneration and the contribution of pre-motor, supplementary motor, cortico-medullary and inter-hemispheric connectivity alterations are less well characterized. In a single-centre, prospective, longitudinal neuroimaging study 41 patients with PLS were investigated. Patients underwent standardized neuroimaging, genetic profiling with whole exome sequencing, and comprehensive clinical assessments including upper motor neuron scores, tapping rates, mirror movements, spasticity assessment, cognitive screening and evaluation for pseudobulbar affect. Longitudinal neuroimaging data from 108 healthy controls were used for image interpretation. A standardized imaging protocol was implemented including 3D T1-weighted structural, diffusion tensor imaging and resting-state functional magnetic resonance imaging. Following somatotopic segmentation, cortical thickness analyses, probabilistic tractography, blood oxygenation level dependent signal analyses and brainstem volumetry were conducted to evaluate cortical, brainstem, cortico-medullary and inter-hemispheric connectivity alterations both cross-sectionally and longitudinally. Our data confirm progressive primary motor cortex degeneration, considerable supplementary motor and pre-motor area involvement, progressive brainstem atrophy, cortico-medullary and inter-hemispheric disconnection, and close associations between clinical upper motor neuron scores and somatotopic connectivity indices in PLS. Primary lateral sclerosis is associated with relentlessly progressive motor connectome degeneration. Clinical disability in PLS is likely to stem from a combination of intra- and inter-hemispheric connectivity decline and primary, pre- and supplementary motor cortex degeneration. Simple 'bedside' clinical tools, such as tapping rates, are excellent proxies of the integrity of the relevant fibres of the contralateral corticospinal tract.

Sections du résumé

BACKGROUND AND PURPOSE
Primary lateral sclerosis (PLS) is a progressive upper motor neuron disorder associated with considerable clinical disability. Symptoms are typically exclusively linked to primary motor cortex degeneration and the contribution of pre-motor, supplementary motor, cortico-medullary and inter-hemispheric connectivity alterations are less well characterized.
METHODS
In a single-centre, prospective, longitudinal neuroimaging study 41 patients with PLS were investigated. Patients underwent standardized neuroimaging, genetic profiling with whole exome sequencing, and comprehensive clinical assessments including upper motor neuron scores, tapping rates, mirror movements, spasticity assessment, cognitive screening and evaluation for pseudobulbar affect. Longitudinal neuroimaging data from 108 healthy controls were used for image interpretation. A standardized imaging protocol was implemented including 3D T1-weighted structural, diffusion tensor imaging and resting-state functional magnetic resonance imaging. Following somatotopic segmentation, cortical thickness analyses, probabilistic tractography, blood oxygenation level dependent signal analyses and brainstem volumetry were conducted to evaluate cortical, brainstem, cortico-medullary and inter-hemispheric connectivity alterations both cross-sectionally and longitudinally.
RESULTS
Our data confirm progressive primary motor cortex degeneration, considerable supplementary motor and pre-motor area involvement, progressive brainstem atrophy, cortico-medullary and inter-hemispheric disconnection, and close associations between clinical upper motor neuron scores and somatotopic connectivity indices in PLS.
DISCUSSION
Primary lateral sclerosis is associated with relentlessly progressive motor connectome degeneration. Clinical disability in PLS is likely to stem from a combination of intra- and inter-hemispheric connectivity decline and primary, pre- and supplementary motor cortex degeneration. Simple 'bedside' clinical tools, such as tapping rates, are excellent proxies of the integrity of the relevant fibres of the contralateral corticospinal tract.

Identifiants

pubmed: 36739888
doi: 10.1111/ene.15725
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1232-1245

Informations de copyright

© 2023 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

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Auteurs

Marlene Tahedl (M)

Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

Ee Ling Tan (EL)

Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

Stacey Li Hi Shing (SLH)

Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

Rangariroyashe H Chipika (RH)

Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

We Fong Siah (WF)

Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

Jennifer C Hengeveld (JC)

Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.

Mark A Doherty (MA)

Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.

Russell L McLaughlin (RL)

Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.

Orla Hardiman (O)

Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

Eoin Finegan (E)

Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

Peter Bede (P)

Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
Department of Neurology, St James's Hospital, Dublin, Ireland.

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