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Wolmer PS, de Borba FC, de Rezende TJR, González-Salazar C, Pedroso JL, Barsottini OGP, Kleinerova J, Bede P, Marques W, França MC. Distinct patterns of cerebral and spinal pathology along the spectrum of ATXN2-related disorders. J Neurol 2025; 272:330. [PMID: 40204975 DOI: 10.1007/s00415-025-13037-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2025] [Revised: 03/10/2025] [Accepted: 03/11/2025] [Indexed: 04/11/2025]
Abstract
BACKGROUND The ATXN2 gene contains a polymorphic CAG-rich region encoding a polyglutamine tract in ataxin- 2. Normal alleles have fewer than 27 CAG repeats, 27-34 repeats pose a risk for ALS (ATXN2-ALS), and > 34 repeats cause spinocerebellar ataxia type 2 (SCA2). The striking phenotypic differences between these two ATXN2-related conditions are not yet fully understood. OBJECTIVE To characterize and compare the distinguishing radiological signatures of ATXN2-ALS, SCA2, sporadic ALS (sALS) and healthy controls in vivo using quantitative computational neuroimaging techniques. METHODS Four groups were defined: healthy controls (n = 34), sALS (n = 17), ATXN2-ALS (n = 16), and SCA2 (n = 17). Cortical, subcortical, brainstem, cerebellar and spinal regions were segmented based on T1-weighted data using validated segmentation tools and their volumes estimated. Group-specific morphometric data were correlated with cerebral ATXN2 expression maps from the Allen Human Brain Atlas. RESULTS Study groups were age and sex-matched. sALS, ATXN2-ALS and SCA2 have distinct structural CNS signatures, with disease burden restricted to the precentral gyri in the sALS group, to the spinal cord and brainstem in the ATXN2-ALS group and more diffusely distributed in the subcortical structures in the SCA2 group. Brain ATXN2 expression correlated with the structural signature of SCA2, but not with that of ATXN2-ALS. CONCLUSIONS Neuroimaging signatures differ in ATXN2-ALS and SCA2, indicating distinct mechanisms of ATXN2-mediated neurodegeneration. sALS and ATXN2-ALS also exhibit distinct patterns of CNS involvement. The unique imaging signatures and clinical profiles along the spectrum of ATXN2-related disorders raise important questions regarding the pathophysiology of the disease and have practical clinical ramifications.
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Affiliation(s)
| | | | - Thiago Junqueira Ribeiro de Rezende
- Department of Neurology, University of Campinas, Campinas, Brazil
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
| | | | - José Luiz Pedroso
- Department of Neurology and Neurosurgery, Escola Paulista de Medicina, Federal University of São Paulo, São Paulo, SP, Brazil
| | | | - Jana Kleinerova
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
- Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Wilson Marques
- Department of Neurosciences, School of Medicine of Ribeirão Preto, University of São Paulo, São Paulo, Brazil
| | - Marcondes Cavalcante França
- Department of Neurology, University of Campinas, Campinas, Brazil.
- Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil.
- Faculdade de Ciências Médicas da UNICAMP, Departamento de Neurologia da FCM/UNICAMP, Universidade Estadual de Campinas, Cidade Universitária s/n Barão Geraldo, Campinas, SP, 13083-887, Brazil.
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Finegan E, Kleinerova J, Hardiman O, Hutchinson S, Garcia-Gallardo A, Tan EL, Bede P. Pseudobulbar affect: clinical associations, social impact and quality of life implications - Lessons from PLS. J Neurol 2025; 272:266. [PMID: 40072589 PMCID: PMC11903626 DOI: 10.1007/s00415-025-12971-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2025] [Revised: 02/01/2025] [Accepted: 02/10/2025] [Indexed: 03/14/2025]
Abstract
BACKGROUND Pseudobulbar affect (PBA) is a well-recognised and troublesome clinical phenomenon in a range of neuroinflammatory, neoplastic, neurovascular and neurodegenerative conditions. It is often under-recognised in the community, frequently mistaken for psychiatric manifestations, appropriate pharmacological treatment is often delayed, and may result in a sense of embarrassment or lead to social isolation. Despite its considerable quality of life (QoL) implications and the challenges associated with its effective management, it is notoriously understudied. METHODS As the incidence of PBA is lower in non-motor neuron disease patient cohorts, and the social and QoL impact of PBA is not sufficiently recognised, a purpose-designed study was conducted in a Primary Lateral Sclerosis (PLS) cohort to assess the clinical correlates and social impact of PBA. RESULTS PBA was very strongly associated with pseudo-bulbar motor dysfunction. Dysphagia (OR 14, P = .005) and the presence of abnormal jaw jerk (OR 19.8, P < 0.001) greatly increased odds of PBA. There was no significant difference in the cognitive or behavioural profiles between those with PBA and those without it. Poorly controlled laughing (85%) was more prevalent than crying (69%) among PLS patients with PBA. No individual experienced PBA symptoms prior to the motor manifestations of PLS. Most patients were unaware that PBA was common in their neurological condition. The mean PBA Impact score was 5 (range 1-17) and correlated with CNS-LS crying subscores (r = .693, p = .006). DISCUSSION The severity of pseudobulbar affect correlates with motor manifestations of pseudobulbar palsy, a link supporting emerging imaging studies regarding bilateral corticobulbar tract degeneration as in important aetiological factor. The social and quality of life ramifications of pseudobulbar affect can be readily demonstrated by purpose-designed questionnaires. CONCLUSIONS Despite sporadic reports, the clinical, social, caregiver burden and quality of life implications of pseudobulbar affect remain poorly characterised. The comprehensive evaluation of the clinical correlates of PBA helps to elucidate the underlying pathophysiology. Ultimately, the comprehensive assessment of both the aetiology and social impact of PBA helps to raise awareness of this entity, reduce misdiagnoses, enhance the early recognition of this phenomenon and encourage proactive pharmacological intervention.
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Affiliation(s)
- Eoin Finegan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College, Pearse Street, Dublin, Ireland
| | - Jana Kleinerova
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College, Pearse Street, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College, Pearse Street, Dublin, Ireland
| | | | | | - Ee Ling Tan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College, Pearse Street, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College, Pearse Street, Dublin, Ireland.
- Department of Neurology, St James's Hospital, Dublin, Ireland.
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Mizielinska S, Hautbergue GM, Gendron TF, van Blitterswijk M, Hardiman O, Ravits J, Isaacs AM, Rademakers R. Amyotrophic lateral sclerosis caused by hexanucleotide repeat expansions in C9orf72: from genetics to therapeutics. Lancet Neurol 2025; 24:261-274. [PMID: 39986312 PMCID: PMC12010636 DOI: 10.1016/s1474-4422(25)00026-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Revised: 11/22/2024] [Accepted: 01/14/2025] [Indexed: 02/24/2025]
Abstract
GGGGCC repeat expansions in C9orf72 are a common genetic cause of amyotrophic lateral sclerosis in people of European ancestry; however, substantial variability in the penetrance of the mutation, age at disease onset, and clinical presentation can complicate diagnosis and prognosis. The repeat expansion is bidirectionally transcribed in the sense and antisense directions into repetitive RNAs and translated into dipeptide repeat proteins, and both accumulate in the cortex, cerebellum, and the spinal cord. Furthermore, neuropathological aggregates of phosphorylated TDP-43 are observed in motor cortex and other cortical regions, and in the spinal cord of patients at autopsy. C9orf72 repeat expansions can also cause frontotemporal dementia. The GGGGCC repeat induces a complex interplay of loss-of-function and gain-of-function pathological mechanisms. Clinical trials using antisense oligonucleotides to target the GGGGCC repeat RNA have not been successful, potentially because they only target a single gain-of-function mechanism. Novel therapeutic approaches targeting the DNA repeat expansion, multiple repeat-derived RNA species, or downstream targets of TDP-43 dysfunction are, however, on the horizon, together with the development of diagnostic and prognostic biomarkers.
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Affiliation(s)
- Sarah Mizielinska
- UK Dementia Research Institute at King's College London, London, UK; Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
| | - Guillaume M Hautbergue
- Sheffield Institute for Translational Neuroscience (SITraN), Neuroscience Institute, and Healthy Lifespan Institute (HELSI), University of Sheffield, Sheffield, UK
| | - Tania F Gendron
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - John Ravits
- Department of Neurosciences, ALS Translational Research, University of California San Diego, La Jolla, CA, USA
| | - Adrian M Isaacs
- UK Dementia Research Institute at UCL, London, UK; Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium; VIB Center for Molecular Neurology, VIB, Antwerp, Belgium.
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Kleinerova J, Chipika RH, Tan EL, Yunusova Y, Marchand-Pauvert V, Kassubek J, Pradat PF, Bede P. Sensory Dysfunction in ALS and Other Motor Neuron Diseases: Clinical Relevance, Histopathology, Neurophysiology, and Insights from Neuroimaging. Biomedicines 2025; 13:559. [PMID: 40149536 PMCID: PMC11940395 DOI: 10.3390/biomedicines13030559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2025] [Revised: 02/13/2025] [Accepted: 02/20/2025] [Indexed: 03/29/2025] Open
Abstract
Background: The clinical profiles of MNDs are dominated by inexorable motor decline, but subclinical proprioceptive, nociceptive and somatosensory deficits may also exacerbate mobility, dexterity, and bulbar function. While extra-motor pathology and frontotemporal involvement are widely recognised in motor neuron diseases (MNDs), reports of sensory involvement are conflicting. The potential contribution of sensory deficits to clinical disability is not firmly established and the spectrum of sensory manifestations is poorly characterised. Methods: A systematic review was conducted to examine the clinical, neuroimaging, electrophysiology and neuropathology evidence for sensory dysfunction in MND phenotypes. Results: In ALS, paraesthesia, pain, proprioceptive deficits and taste alterations are sporadically reported and there is also compelling electrophysiological, histological and imaging evidence of sensory network alterations. Gait impairment, impaired dexterity, and poor balance in ALS are likely to be multifactorial, with extrapyramidal, cerebellar, proprioceptive and vestibular deficits at play. Human imaging studies and animal models also confirm dorsal column-medial lemniscus pathway involvement as part of the disease process. Sensory symptoms are relatively common in spinal and bulbar muscular atrophy (SBMA) and Hereditary Spastic Paraplegia (HSP), but are inconsistently reported in primary lateral sclerosis (PLS) and in post-poliomyelitis syndrome (PPS). Conclusions: Establishing the prevalence and nature of sensory dysfunction across the spectrum of MNDs has a dual clinical and academic relevance. From a clinical perspective, subtle sensory deficits are likely to impact the disability profile and care needs of patients with MND. From an academic standpoint, sensory networks may be ideally suited to evaluate propagation patterns and the involvement of subcortical grey matter structures. Our review suggests that sensory dysfunction is an important albeit under-recognised facet of MND.
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Affiliation(s)
- Jana Kleinerova
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Rangariroyashe H. Chipika
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Yana Yunusova
- Department of Speech-Language Pathology, University of Toronto, Toronto, ON M5S 1A1, Canada
| | | | - Jan Kassubek
- Department of Neurology, University Hospital Ulm, 89081 Ulm, Germany;
| | - Pierre-Francois Pradat
- Laboratoire d’Imagerie Biomédicale, CNRS, INSERM, Sorbonne University, 75013 Paris, France
- Department of Neurology, Pitié-Salpêtrière University Hospital, 75013 Paris, France
| | - Peter Bede
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- Department of Neurology, St James’s Hospital Dublin, D08 NHY1 Dublin, Ireland
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Tan HHG, Nitert AD, van Veenhuijzen K, Dukic S, van Zandvoort MJE, Hendrikse J, van Es MA, Veldink JH, Westeneng HJ, van den Berg LH. Neuroimaging correlates of domain-specific cognitive deficits in amyotrophic lateral sclerosis. Neuroimage Clin 2025; 45:103749. [PMID: 39947099 PMCID: PMC11869911 DOI: 10.1016/j.nicl.2025.103749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 10/04/2024] [Accepted: 02/01/2025] [Indexed: 03/03/2025]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with frequent extra-motor involvement. In the present study, we investigated whether specific cognitive and behavioral deficits in ALS correlate with distinct extra-motor neurodegeneration patterns on brain MRI. METHODS We performed multimodal brain MRI and Edinburgh cognitive and behavioral ALS screen (ECAS) in 293 patients and 237 controls. Follow-up data were acquired from 171 patients with a median duration of 7.9 months. Domain-level cognitive scores from the ECAS were compared with grey and white matter MRI parameters. Interaction analyses between patients and controls were performed to explore whether correlates were specific to ALS, rather than related to normal aging. Follow-up data were used to assess changes of domain-associated brain structures over time. RESULTS Language impairment was significantly associated with (left predominant) frontal, temporal, parietal and subcortical grey matter neurodegeneration. Letter fluency with widespread cortical and subcortical grey matter involvement. Memory dysfunction with hippocampal and medial-temporal atrophy. Executive impairment was exclusively correlated with widespread white matter impairment. Visuospatial scores did not correlate with MRI parameters. Interaction analyses between patients and controls showed that most ECAS-MRI correlations were stronger in ALS than in controls (75.7% significant in grey matter, 52.7% in white matter). Longitudinal analyses showed that all grey matter structures associated with cognitive domains worsened over time while, for this study population, ECAS domain scores did not decline significantly. CONCLUSIONS MRI can capture the heterogeneity of cognitive and behavioral involvement in ALS and provides a useful longitudinal biomarker for progression of extra-motor neurodegeneration.
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Affiliation(s)
- Harold H G Tan
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht University, Utrecht, the Netherlands
| | - Abram D Nitert
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht University, Utrecht, the Netherlands
| | - Kevin van Veenhuijzen
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht University, Utrecht, the Netherlands
| | - Stefan Dukic
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht University, Utrecht, the Netherlands
| | - Martine J E van Zandvoort
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht University, Utrecht, the Netherlands; Department of Experimental Psychology, Utrecht University, Utrecht, the Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Michael A van Es
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht University, Utrecht, the Netherlands
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht University, Utrecht, the Netherlands
| | - Henk-Jan Westeneng
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht University, Utrecht, the Netherlands
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, Utrecht University, Utrecht, the Netherlands.
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Kleinerova J, Garcia-Gallardo A, Tacheva A, Bede P. Subcortical grey matter involvement in ALS and PLS - vulnerable hubs of cortico-cortical and cortico-basal circuits: extrapyramidal, cognitive, bulbar and respiratory correlates. Amyotroph Lateral Scler Frontotemporal Degener 2025; 26:1-4. [PMID: 39317352 DOI: 10.1080/21678421.2024.2405130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 09/10/2024] [Accepted: 09/12/2024] [Indexed: 09/26/2024]
Abstract
Evidence from neuroimaging studies suggests that the cardinal clinical manifestations of ALS stem from the dysfunction of specific neural networks. The majority of cortico-cortical and cortico-basal networks are physiologically relayed by deep cerebral and cerebellar grey matter nuclei which have been increasingly implicated in the pathophysiology of ALS. A series of recent human imaging papers revealed volume reductions, shape deformations, metabolic alterations and more recently, susceptibility changes in hippocampal subfields, thalamic, striatal, amygdalar and cerebellar nuclei. Thalamic changes have been identified in presymptomatic mutation carriers long before symptom onset and longitudinal studies have consistently confirmed progressive subcortical degeneration during the symptomatic phase of the disease. The dysfunction of circuits relayed by specific subcortical nuclei has been associated with apathy, amnestic deficits, limbic symptoms, extrapyramidal manifestations, sensory disturbances, pseudobulbar affect and cerebellar deficits. In light of emerging imaging data, the clinical heterogeneity of ALS is probably best approached from a network integrity perspective. Accordingly, the comprehensive assessment of subcortical grey matter nuclei seems imperative to untangle complex clinical phenomena in ALS.
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Affiliation(s)
- Jana Kleinerova
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland and
| | - Angela Garcia-Gallardo
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland and
- Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Asya Tacheva
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland and
- Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland and
- Department of Neurology, St James's Hospital, Dublin, Ireland
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McKenna MC, Kleinerova J, Power A, Garcia-Gallardo A, Tan EL, Bede P. Quantitative and Computational Spinal Imaging in Neurodegenerative Conditions and Acquired Spinal Disorders: Academic Advances and Clinical Prospects. BIOLOGY 2024; 13:909. [PMID: 39596864 PMCID: PMC11592215 DOI: 10.3390/biology13110909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 10/24/2024] [Accepted: 10/29/2024] [Indexed: 11/29/2024]
Abstract
Introduction: Quantitative spinal cord imaging has facilitated the objective appraisal of spinal cord pathology in a range of neurological conditions both in the academic and clinical setting. Diverse methodological approaches have been implemented, encompassing a range of morphometric, diffusivity, susceptibility, magnetization transfer, and spectroscopy techniques. Advances have been fueled both by new MRI platforms and acquisition protocols as well as novel analysis pipelines. The quantitative evaluation of specific spinal tracts and grey matter indices has the potential to be used in diagnostic and monitoring applications. The comprehensive characterization of spinal disease burden in pre-symptomatic cohorts, in carriers of specific genetic mutations, and in conditions primarily associated with cerebral disease, has contributed important academic insights. Methods: A narrative review was conducted to examine the clinical and academic role of quantitative spinal cord imaging in a range of neurodegenerative and acquired spinal cord disorders, including hereditary spastic paraparesis, hereditary ataxias, motor neuron diseases, Huntington's disease, and post-infectious or vascular disorders. Results: The clinical utility of specific methods, sample size considerations, academic role of spinal imaging, key radiological findings, and relevant clinical correlates are presented in each disease group. Conclusions: Quantitative spinal cord imaging studies have demonstrated the feasibility to reliably appraise structural, microstructural, diffusivity, and metabolic spinal cord alterations. Despite the notable academic advances, novel acquisition protocols and analysis pipelines are yet to be implemented in the clinical setting.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
- Department of Neurology, St James’s Hospital, James St, 8 D08 NHY1 Dublin, Ireland
| | - Jana Kleinerova
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
| | - Alan Power
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
- Department of Neurology, St James’s Hospital, James St, 8 D08 NHY1 Dublin, Ireland
| | - Angela Garcia-Gallardo
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
- Department of Neurology, St James’s Hospital, James St, 8 D08 NHY1 Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, 152-160 Pearse St, 2 D02 R590 Dublin, Ireland
- Department of Neurology, St James’s Hospital, James St, 8 D08 NHY1 Dublin, Ireland
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Kleinerova J, McKenna MC, Finnegan M, Tacheva A, Garcia-Gallardo A, Mohammed R, Tan EL, Christidi F, Hardiman O, Hutchinson S, Bede P. Clinical, Cortical, Subcortical, and White Matter Features of Right Temporal Variant FTD. Brain Sci 2024; 14:806. [PMID: 39199498 PMCID: PMC11352857 DOI: 10.3390/brainsci14080806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Revised: 08/05/2024] [Accepted: 08/09/2024] [Indexed: 09/01/2024] Open
Abstract
The distinct clinical and radiological characteristics of right temporal variant FTD have only been recently recognized. METHODS Eight patients with right temporal variant FTD were prospectively recruited and underwent a standardised neuropsychological assessment, clinical MRI, and quantitative neuroimaging. RESULTS Our voxelwise grey analyses captured bilateral anterior and mesial temporal grey matter atrophy with a clear right-sided predominance. Bilateral hippocampal involvement was also observed, as well as disease burden in the right insular and opercula regions. White matter integrity alterations were also bilateral in anterior temporal and sub-insular regions with a clear right-hemispheric predominance. Extra-temporal white matter alterations have also been observed in orbitofrontal and parietal regions. Significant bilateral but right-predominant thalamus, putamen, hippocampus, and amygdala atrophy was identified based on subcortical segmentation. The clinical profile of our patients was dominated by progressive indifference, decline in motivation, loss of interest in previously cherished activities, incremental social withdrawal, difficulty recognising people, progressive language deficits, increasingly rigid routines, and repetitive behaviours. CONCLUSIONS Right temporal variant FTD has an insidious onset and may be mistaken for depression at symptom onset. It manifests in a combination of apathy, language, and behavioural features. Quantitative MR imaging captures a characteristic bilateral but right-predominant temporal imaging signature with extra-temporal frontal and parietal involvement.
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Affiliation(s)
- Jana Kleinerova
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Mary Clare McKenna
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
- Department of Neurology, St James’s Hospital, D08 KC95 Dublin, Ireland
| | - Martha Finnegan
- Department of Psychiatry, Tallaght University Hospital, D24 NR0A Dublin, Ireland
| | - Asya Tacheva
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | | | - Rayan Mohammed
- Department of Neurology, St James’s Hospital, D08 KC95 Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Foteini Christidi
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | | | - Peter Bede
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
- Department of Neurology, St James’s Hospital, D08 KC95 Dublin, Ireland
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Tahedl M, Tan EL, Kleinerova J, Delaney S, Hengeveld JC, Doherty MA, Mclaughlin RL, Pradat PF, Raoul C, Ango F, Hardiman O, Chang KM, Lope J, Bede P. Progressive Cerebrocerebellar Uncoupling in Sporadic and Genetic Forms of Amyotrophic Lateral Sclerosis. Neurology 2024; 103:e209623. [PMID: 38900989 DOI: 10.1212/wnl.0000000000209623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Amyotrophic lateral sclerosis (ALS) is predominantly associated with motor cortex, corticospinal tract (CST), brainstem, and spinal cord degeneration, and cerebellar involvement is much less well characterized. However, some of the cardinal clinical features of ALS, such as dysarthria, dysphagia, gait impairment, falls, and impaired dexterity, are believed to be exacerbated by coexisting cerebellar pathology. Cerebellar pathology may also contribute to cognitive, behavioral, and pseudobulbar manifestations. Our objective was to systematically assess both intracerebellar pathology and cerebrocerebellar connectivity alterations in a genetically stratified cohort of ALS. METHODS A prospective, multimodal neuroimaging study was conducted to evaluate the longitudinal evolution of intracerebellar pathology and cerebrocerebellar connectivity, using structural and functional measures. RESULTS A total of 113 healthy controls and 212 genetically stratified individuals with ALS were included: (1) C9orf72 hexanucleotide carriers ("C9POS"), (2) sporadic patients who tested negative for ALS-associated genetic variants, and (3) intermediate-length CAG trinucleotide carriers in ATXN2 ("ATXN2"). Flocculonodular lobule (padj = 0.014, 95% CI -5.06e-5 to -3.98e-6) and crura (padj = 0.031, 95% CI -1.63e-3 to -5.55e-5) volume reductions were detected at baseline in sporadic patients. Cerebellofrontal and cerebelloparietal structural connectivity impairment was observed in both C9POS and sporadic patients at baseline, and both projections deteriorated further over time in sporadic patients (padj = 0.003, t(249) = 3.04 and padj = 0.05, t(249) = 1.93). Functional cerebelloparietal uncoupling was evident in sporadic patients at baseline (padj = 0.004, 95% CI -0.19 to -0.03). ATXN2 patients exhibited decreased cerebello-occipital functional connectivity at baseline (padj = 0.004, 95% CI -0.63 to -0.06), progressive cerebellotemporal functional disconnection (padj = 0.025, t(199) = -2.26), and progressive flocculonodular lobule degeneration (padj = 0.017, t(249) = -2.24). C9POS patients showed progressive ventral dentate atrophy (padj = 0.007, t(249) = -2.75). The CSTs (padj < 0.001, 95% CI 4.89e-5 to 1.14e-4) and transcallosal interhemispheric fibers (padj < 0.001, 95% CI 5.21e-5 to 1.31e-4) were affected at baseline in C9POS and exhibited rapid degeneration over the 4 time points. The rate of decline in CST and corpus callosum integrity was faster than the rate of cerebrocerebellar disconnection (padj = 0.001, t(190) = 6.93). DISCUSSION ALS is associated with accruing intracerebellar disease burden as well as progressive corticocerebellar uncoupling. Contrary to previous suggestions, we have not detected evidence of compensatory structural or functional changes in response to supratentorial degeneration. The contribution of cerebellar disease burden to dysarthria, dysphagia, gait impairment, pseudobulbar affect, and cognitive deficits should be carefully considered in clinical assessments, monitoring, and multidisciplinary interventions.
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Affiliation(s)
- Marlene Tahedl
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Ee Ling Tan
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Jana Kleinerova
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Siobhan Delaney
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Jennifer C Hengeveld
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Mark A Doherty
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Russell L Mclaughlin
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Pierre-Francois Pradat
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Cédric Raoul
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Fabrice Ango
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Orla Hardiman
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Kai Ming Chang
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Jasmin Lope
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
| | - Peter Bede
- From the Computational Neuroimaging Group (CNG) (M.T., E.L.T., J.K., S.D., O.H., K.M.C., J.L., P.B.), School of Medicine, Trinity College Dublin; Department of Neurology (S.D., P.B.), St James's Hospital, Dublin; Smurfit Institute of Genetics (J.C.H., M.A.D., R.L.M.), Trinity College Dublin, Ireland; Department of Neurology (P.-F.P.), Pitié-Salpêtrière University Hospital, Paris; The Neuroscience Institute of Montpellier (INM) (C.R., F.A.), INSERM, CNRS; and ALS Centre (C.R.), University of Montpellier, CHU Montpellier, France
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Christidi F, Kleinerova J, Tan EL, Delaney S, Tacheva A, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Siah WF, Chang KM, Lope J, Bede P. Limbic Network and Papez Circuit Involvement in ALS: Imaging and Clinical Profiles in GGGGCC Hexanucleotide Carriers in C9orf72 and C9orf72-Negative Patients. BIOLOGY 2024; 13:504. [PMID: 39056697 PMCID: PMC11273537 DOI: 10.3390/biology13070504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Revised: 06/26/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024]
Abstract
Background: While frontotemporal involvement is increasingly recognized in Amyotrophic lateral sclerosis (ALS), the degeneration of limbic networks remains poorly characterized, despite growing evidence of amnestic deficits, impaired emotional processing and deficits in social cognition. Methods: A prospective neuroimaging study was conducted with 204 individuals with ALS and 111 healthy controls. Patients were stratified for hexanucleotide expansion status in C9orf72. A deep-learning-based segmentation approach was implemented to segment the nucleus accumbens, hypothalamus, fornix, mammillary body, basal forebrain and septal nuclei. The cortical, subcortical and white matter components of the Papez circuit were also systematically evaluated. Results: Hexanucleotide repeat expansion carriers exhibited bilateral amygdala, hypothalamus and nucleus accumbens atrophy, and C9orf72 negative patients showed bilateral basal forebrain volume reductions compared to controls. Both patient groups showed left rostral anterior cingulate atrophy, left entorhinal cortex thinning and cingulum and fornix alterations, irrespective of the genotype. Fornix, cingulum, posterior cingulate, nucleus accumbens, amygdala and hypothalamus degeneration was more marked in C9orf72-positive ALS patients. Conclusions: Our results highlighted that mesial temporal and parasagittal subcortical degeneration is not unique to C9orf72 carriers. Our radiological findings were consistent with neuropsychological observations and highlighted the importance of comprehensive neuropsychological testing in ALS, irrespective of the underlying genotype.
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Affiliation(s)
- Foteini Christidi
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Jana Kleinerova
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Siobhan Delaney
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
- Department of Neurology, St James’s Hospital, D08 KC95 Dublin, Ireland
| | - Asya Tacheva
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
- Department of Neurology, St James’s Hospital, D08 KC95 Dublin, Ireland
| | | | - Mark A. Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | | | - Orla Hardiman
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Kai Ming Chang
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
- Department of Neurology, St James’s Hospital, D08 KC95 Dublin, Ireland
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11
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Sellier C, Corcia P, Vourc'h P, Dupuis L. C9ORF72 hexanucleotide repeat expansion: From ALS and FTD to a broader pathogenic role? Rev Neurol (Paris) 2024; 180:417-428. [PMID: 38609750 DOI: 10.1016/j.neurol.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 03/30/2024] [Indexed: 04/14/2024]
Abstract
The major gene underlying monogenic forms of amyotrophic lateral sclerosis (ALS) and fronto-temporal dementia (FTD) is C9ORF72. The causative mutation in C9ORF72 is an abnormal hexanucleotide (G4C2) repeat expansion (HRE) located in the first intron of the gene. The aim of this review is to propose a comprehensive update on recent developments on clinical, biological and therapeutics aspects related to C9ORF72 in order to highlight the current understanding of genotype-phenotype correlations, and also on biological machinery leading to neuronal death. We will particularly focus on the broad phenotypic presentation of C9ORF72-related diseases, that goes well beyond the classical phenotypes observed in ALS and FTD patients. Last, we will comment the possible therapeutical hopes for patients carrying a C9ORF72 HRE.
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Affiliation(s)
- C Sellier
- Centre de recherches en biomédecine de Strasbourg, UMR-S1329, Inserm, université de Strasbourg, Strasbourg, France
| | - P Corcia
- UMR 1253 iBrain, Inserm, université de Tours, Tours, France; Centre constitutif de coordination SLA, CHU de Bretonneau, 2, boulevard Tonnelle, 37044 Tours cedex 1, France
| | - P Vourc'h
- UMR 1253 iBrain, Inserm, université de Tours, Tours, France; Service de biochimie et biologie moléculaire, CHU de Tours, Tours, France
| | - L Dupuis
- Centre de recherches en biomédecine de Strasbourg, UMR-S1329, Inserm, université de Strasbourg, Strasbourg, France.
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12
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Spinelli EG, Ghirelli A, Basaia S, Canu E, Castelnovo V, Cividini C, Russo T, Schito P, Falzone YM, Riva N, Filippi M, Agosta F. Structural and Functional Brain Network Connectivity at Different King's Stages in Patients With Amyotrophic Lateral Sclerosis. Neurology 2024; 102:e207946. [PMID: 38165325 PMCID: PMC10962907 DOI: 10.1212/wnl.0000000000207946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 09/27/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES There is currently no validated disease-stage biomarker for amyotrophic lateral sclerosis (ALS). The identification of quantitative and reproducible markers of disease stratification in ALS is fundamental for study design definition and inclusion of homogenous patient cohorts into clinical trials. Our aim was to assess the rearrangements of structural and functional brain connectivity underlying the clinical stages of ALS, to suggest objective, reproducible measures provided by MRI connectomics mirroring disease staging. METHODS In this observational study, patients with ALS and healthy controls (HCs) underwent clinical evaluation and brain MRI on a 3T scanner. Patients were classified into 4 groups, according to the King's staging system. Structural and functional brain connectivity matrices were obtained using diffusion tensor and resting-state fMRI data, respectively. Whole-brain network-based statistics (NBS) analysis and comparisons of intraregional and inter-regional connectivity values using analysis of covariance models were performed between groups. Correlations between MRI and clinical/cognitive measures were tested using Pearson coefficient. RESULTS One hundred four patients with ALS and 61 age-matched and sex-matched HCs were included. NBS and regional connectivity analyses demonstrated a progressive decrease of intranetwork and internetwork structural connectivity of sensorimotor regions at increasing ALS stages in our cohort, compared with HCs. By contrast, functional connectivity showed divergent patterns between King's stages 3 (increase in basal ganglia and temporal circuits [p = 0.04 and p = 0.05, respectively]) and 4 (frontotemporal decrease [p = 0.03]), suggesting a complex interplay between opposite phenomena in late stages of the disease. Intraregional sensorimotor structural connectivity was correlated with ALS Functional Rating Scale-revised (ALSFRS-r) score (r = 0.31, p < 0.001) and upper motor neuron burden (r = -0.25, p = 0.01). Inter-regional frontal-sensorimotor structural connectivity was also correlated with ALSFRS-r (r = 0.24, p = 0.02). No correlations with cognitive measures were found. DISCUSSION MRI of the brain allows to demonstrate and quantify increasing disruption of structural connectivity involving the sensorimotor networks in ALS, mirroring disease stages. Frontotemporal functional disconnection seems to characterize only advanced disease phases. Our findings support the utility of MRI connectomics to stratify patients and stage brain pathology in ALS in a reproducible way, which may mirror clinical progression.
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Affiliation(s)
- Edoardo G Spinelli
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alma Ghirelli
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Silvia Basaia
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisa Canu
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Veronica Castelnovo
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Camilla Cividini
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Tommaso Russo
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paride Schito
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Yuri M Falzone
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Nilo Riva
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
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13
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Tan EL, Tahedl M, Lope J, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Chang KM, Finegan E, Bede P. Language deficits in primary lateral sclerosis: cortical atrophy, white matter degeneration and functional disconnection between cerebral regions. J Neurol 2024; 271:431-445. [PMID: 37759084 DOI: 10.1007/s00415-023-11994-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Primary lateral sclerosis (PLS) is traditionally regarded as a pure upper motor neuron disorder, but recent cases series have highlighted cognitive deficits in executive and language domains. METHODS A single-centre, prospective neuroimaging study was conducted with comprehensive clinical and genetic profiling. The structural and functional integrity of language-associated brain regions and networks were systematically evaluated in 40 patients with PLS in comparison to 111 healthy controls. The structural integrity of the arcuate fascicle, frontal aslant tract, inferior occipito-frontal fascicle, inferior longitudinal fascicle, superior longitudinal fascicle and uncinate fascicle was evaluated. Functional connectivity between the supplementary motor region and the inferior frontal gyrus and connectivity between Wernicke's and Broca's areas was also assessed. RESULTS Cortical thickness reductions were observed in both Wernicke's and Broca's areas. Fractional anisotropy reduction was noted in the aslant tract and increased radical diffusivity (RD) identified in the aslant tract, arcuate fascicle and superior longitudinal fascicle in the left hemisphere. Functional connectivity was reduced along the aslant track, i.e. between the supplementary motor region and the inferior frontal gyrus, but unaffected between Wernicke's and Broca's areas. Cortical thickness alterations, structural and functional connectivity changes were also noted in the right hemisphere. CONCLUSIONS Disease-burden in PLS is not confined to motor regions, but there is also a marked involvement of language-associated tracts, networks and cortical regions. Given the considerably longer survival in PLS compared to ALS, the impact of language impairment on the management of PLS needs to be carefully considered.
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Affiliation(s)
- Ee Ling Tan
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Marlene Tahedl
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Jasmin Lope
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | | | - Mark A Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Orla Hardiman
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Kai Ming Chang
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Eoin Finegan
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland.
- Department of Neurology, St James's Hospital, Dublin, Ireland.
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14
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Kutlubaev MA. [Promising approaches to the pathogenetic therapy of amyotrophic lateral sclerosis]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:13-21. [PMID: 38676672 DOI: 10.17116/jnevro202412404113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2024]
Abstract
Amyotrophic lateral sclerosis is a severe incurable disease of the nervous system. Currently only methods of palliative care for the patients with this disease are available. Few medications for the pathogenetic therapy are registered in some countries, i.e. riluzole, edaravon, sodium phenylbutyrate/taurursodiol as well as tofersen (conditionally). Their efficacy is relatively low. The main directions in the development of pathogenetic therapy of ALS include gene therapy, use of stem cells, immunomodulators, agents affecting gut microbiota. A search is also underway for low-molecular compounds with neuroprotective and antioxidant properties. Perspective direction is prevention of ALS. This will be possible when biomarkers for identification of patients in pre-manifest/prodromal stage are detected.
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15
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Sattler R, Traynor BJ, Robertson J, Van Den Bosch L, Barmada SJ, Svendsen CN, Disney MD, Gendron TF, Wong PC, Turner MR, Boxer A, Babu S, Benatar M, Kurnellas M, Rohrer JD, Donnelly CJ, Bustos LM, Van Keuren-Jensen K, Dacks PA, Sabbagh MN. Roadmap for C9ORF72 in Frontotemporal Dementia and Amyotrophic Lateral Sclerosis: Report on the C9ORF72 FTD/ALS Summit. Neurol Ther 2023; 12:1821-1843. [PMID: 37847372 PMCID: PMC10630271 DOI: 10.1007/s40120-023-00548-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 09/14/2023] [Indexed: 10/18/2023] Open
Abstract
A summit held March 2023 in Scottsdale, Arizona (USA) focused on the intronic hexanucleotide expansion in the C9ORF72 gene and its relevance in frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS; C9ORF72-FTD/ALS). The goal of this summit was to connect basic scientists, clinical researchers, drug developers, and individuals affected by C9ORF72-FTD/ALS to evaluate how collaborative efforts across the FTD-ALS disease spectrum might break down existing disease silos. Presentations and discussions covered recent discoveries in C9ORF72-FTD/ALS disease mechanisms, availability of disease biomarkers and recent advances in therapeutic development, and clinical trial design for prevention and treatment for individuals affected by C9ORF72-FTD/ALS and asymptomatic pathological expansion carriers. The C9ORF72-associated hexanucleotide repeat expansion is an important locus for both ALS and FTD. C9ORF72-FTD/ALS may be characterized by loss of function of the C9ORF72 protein and toxic gain of functions caused by both dipeptide repeat (DPR) proteins and hexanucleotide repeat RNA. C9ORF72-FTD/ALS therapeutic strategies discussed at the summit included the use of antisense oligonucleotides, adeno-associated virus (AAV)-mediated gene silencing and gene delivery, and engineered small molecules targeting RNA structures associated with the C9ORF72 expansion. Neurofilament light chain, DPR proteins, and transactive response (TAR) DNA-binding protein 43 (TDP-43)-associated molecular changes were presented as biomarker candidates. Similarly, brain imaging modalities (i.e., magnetic resonance imaging [MRI] and positron emission tomography [PET]) measuring structural, functional, and metabolic changes were discussed as important tools to monitor individuals affected with C9ORF72-FTD/ALS, at both pre-symptomatic and symptomatic disease stages. Finally, summit attendees evaluated current clinical trial designs available for FTD or ALS patients and concluded that therapeutics relevant to FTD/ALS patients, such as those specifically targeting C9ORF72, may need to be tested with composite endpoints covering clinical symptoms of both FTD and ALS. The latter will require novel clinical trial designs to be inclusive of all patient subgroups spanning the FTD/ALS spectrum.
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Affiliation(s)
- Rita Sattler
- Barrow Neurological Institute, 2910 N Third Ave, Phoenix, AZ, 85013, USA.
| | - Bryan J Traynor
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Janice Robertson
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Ludo Van Den Bosch
- VIB, Center for Brain & Disease Research, Laboratory of Neurobiology and KU Leuven, Leuven, Belgium
- Department of Neurosciences, Experimental Neurology and Leuven Brain Institute (LBI), University of Leuven, Leuven, Belgium
| | - Sami J Barmada
- Department of Neurology, Neuroscience Program, University of Michigan, Ann Arbor, MI, USA
| | - Clive N Svendsen
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Matthew D Disney
- Department of Chemistry, The Herbert Wertheim UF-Scripps Institute for Biomedical Research and Innovation, The Scripps Research Institute, Jupiter, FL, USA
| | - Tania F Gendron
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Philip C Wong
- Departments of Pathology and Neuroscience, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Adam Boxer
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of San Francisco, San Francisco, CA, USA
| | - Suma Babu
- Sean M. Healey and AMG Center for ALS and the Neurological Clinical Research Institute, Massachusetts General Hospital-Harvard Medical School, Boston, MA, USA
| | - Michael Benatar
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, 33129, USA
| | | | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Christopher J Donnelly
- LiveLikeLou Center for ALS Research, Brain Institute, University of Pittsburgh, Pittsburgh, USA
- Department of Neurobiology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lynette M Bustos
- Barrow Neurological Institute, 2910 N Third Ave, Phoenix, AZ, 85013, USA
| | | | - Penny A Dacks
- The Association for Frontotemporal Degeneration and FTD Disorders Registry, King of Prussia, PA, USA
| | - Marwan N Sabbagh
- Barrow Neurological Institute, 2910 N Third Ave, Phoenix, AZ, 85013, USA.
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16
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Wiesenfarth M, Huppertz HJ, Dorst J, Lulé D, Ludolph AC, Müller HP, Kassubek J. Structural and microstructural neuroimaging signature of C9orf72-associated ALS: A multiparametric MRI study. Neuroimage Clin 2023; 39:103505. [PMID: 37696099 PMCID: PMC10500452 DOI: 10.1016/j.nicl.2023.103505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/01/2023] [Accepted: 09/03/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND ALS patients with hexanucleotide expansion in C9orf72 are characterized by a specific clinical phenotype, including more aggressive disease course and cognitive decline. Computerized multiparametric MRI with gray matter volumetry and diffusion tensor imaging (DTI) to analyze white matter structural connectivity is a potential in vivo biomarker. OBJECTIVE The objective of this study was to develop a multiparametric MRI signature in a large cohort of ALS patients with C9orf72 mutations. The aim was to investigate how morphological features of C9orf72-associated ALS differ in structural MRI and DTI compared to healthy controls and ALS patients without C9orf72 mutations. METHODS Atlas-based volumetry (ABV) and whole brain-based DTI-based analyses were performed in a cohort of n = 51 ALS patients with C9orf72 mutations and compared with both n = 51 matched healthy controls and n = 51 C9orf72 negative ALS patients, respectively. Subsequently, Spearman correlation analysis of C9orf72 ALS patients' data with clinical parameters (age of onset, sex, ALS-FRS-R, progression rate, survival) as well as ECAS and p-NfH in CSF was performed. RESULTS The whole brain voxel-by-voxel comparison of fractional anisotropy (FA) maps between C9orf72 ALS patients and controls showed significant bilateral alterations in axonal structures of the white matter at group level, primarily along the corticospinal tracts and in fibers projecting to the frontal lobes. For the frontal lobes, these alterations were also significant between C9orf72 positive and C9orf72 negative ALS patients. In ABV, patients with C9orf72 mutations showed lower volumes of the frontal, temporal, and parietal lobe, with the lowest values in the gray matter of the superior frontal and the precentral gyrus, but also in hippocampi and amygdala. Compared to C9orf72 negative ALS, the differences were shown to be significant for cerebral gray matter (p = 0.04), especially in the frontal (p = 0.01) and parietal lobe (p = 0.01), and in the thalamus (p = 0.004). A correlation analysis between ECAS and averaged regional FA values revealed significant correlations between cognitive performance in ECAS and frontal association fibers. Lower FA values in the frontal lobes were associated with worse performance in all cognitive domains measured (language, verbal fluency, executive functions, memory and spatial perception). In addition, there were significant negative correlations between age of onset and atlas-based volumetry results for gray matter. CONCLUSIONS This study demonstrates a distinct pattern of DTI alterations of the white matter and ubiquitous volume reductions of the gray matter early in the disease course of C9orf72-associated ALS. Alterations were closely linked to a more aggressive cognitive phenotype. These results are in line with an expected pTDP43 propagation pattern of cortical affection and thus strengthen the hypothesis that an underlying developmental disorder is present in ALS with C9orf72 expansions. Thus, multiparametric MRI could contribute to the assessment of the disease as an in vivo biomarker even in the early phase of the disease.
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Affiliation(s)
| | | | - Johannes Dorst
- Department of Neurology, University Hospital Ulm, Ulm, Germany; German Centre of Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Dorothée Lulé
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, University Hospital Ulm, Ulm, Germany; German Centre of Neurodegenerative Diseases (DZNE), Ulm, Germany
| | | | - Jan Kassubek
- Department of Neurology, University Hospital Ulm, Ulm, Germany; German Centre of Neurodegenerative Diseases (DZNE), Ulm, Germany.
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17
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Hippocampal Metabolic Alterations in Amyotrophic Lateral Sclerosis: A Magnetic Resonance Spectroscopy Study. Life (Basel) 2023; 13:life13020571. [PMID: 36836928 PMCID: PMC9965919 DOI: 10.3390/life13020571] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Magnetic resonance spectroscopy (MRS) in amyotrophic lateral sclerosis (ALS) has been overwhelmingly applied to motor regions to date and our understanding of frontotemporal metabolic signatures is relatively limited. The association between metabolic alterations and cognitive performance in also poorly characterised. MATERIAL AND METHODS In a multimodal, prospective pilot study, the structural, metabolic, and diffusivity profile of the hippocampus was systematically evaluated in patients with ALS. Patients underwent careful clinical and neurocognitive assessments. All patients were non-demented and exhibited normal memory performance. 1H-MRS spectra of the right and left hippocampi were acquired at 3.0T to determine the concentration of a panel of metabolites. The imaging protocol also included high-resolution T1-weighted structural imaging for subsequent hippocampal grey matter (GM) analyses and diffusion tensor imaging (DTI) for the tractographic evaluation of the integrity of the hippocampal perforant pathway zone (PPZ). RESULTS ALS patients exhibited higher hippocampal tNAA, tNAA/tCr and tCho bilaterally, despite the absence of volumetric and PPZ diffusivity differences between the two groups. Furthermore, superior memory performance was associated with higher hippocampal tNAA/tCr bilaterally. Both longer symptom duration and greater functional disability correlated with higher tCho levels. CONCLUSION Hippocampal 1H-MRS may not only contribute to a better academic understanding of extra-motor disease burden in ALS, but given its sensitive correlations with validated clinical metrics, it may serve as practical biomarker for future clinical and clinical trial applications. Neuroimaging protocols in ALS should incorporate MRS in addition to standard structural, functional, and diffusion sequences.
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18
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König T, Wurm R, Parvizi T, Silvaieh S, Hotzy C, Cetin H, Klotz S, Gelpi E, Bancher C, Benke T, Dal-Bianco P, Defrancesco M, Fischer P, Marksteiner J, Sutterlüty H, Ransmayr G, Schmidt R, Zimprich A, Stögmann E. C9orf72 repeat length might influence clinical sub-phenotypes in dementia patients. Neurobiol Dis 2022; 175:105927. [DOI: 10.1016/j.nbd.2022.105927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/27/2022] [Accepted: 11/11/2022] [Indexed: 11/15/2022] Open
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19
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Zejlon C, Nakhostin D, Winklhofer S, Pangalu A, Kulcsar Z, Lewandowski S, Finnsson J, Piehl F, Ingre C, Granberg T, Ineichen BV. Structural magnetic resonance imaging findings and histopathological correlations in motor neuron diseases—A systematic review and meta-analysis. Front Neurol 2022; 13:947347. [PMID: 36110394 PMCID: PMC9468579 DOI: 10.3389/fneur.2022.947347] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 07/08/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesThe lack of systematic evidence on neuroimaging findings in motor neuron diseases (MND) hampers the diagnostic utility of magnetic resonance imaging (MRI). Thus, we aimed at performing a systematic review and meta-analysis of MRI features in MND including their histopathological correlation.MethodsIn a comprehensive literature search, out of 5941 unique publications, 223 records assessing brain and spinal cord MRI findings in MND were eligible for a qualitative synthesis. 21 records were included in a random effect model meta-analysis.ResultsOur meta-analysis shows that both T2-hyperintensities along the corticospinal tracts (CST) and motor cortex T2*-hypointensitites, also called “motor band sign”, are more prevalent in ALS patients compared to controls [OR 2.21 (95%-CI: 1.40–3.49) and 10.85 (95%-CI: 3.74–31.44), respectively]. These two imaging findings correlate to focal axonal degeneration/myelin pallor or glial iron deposition on histopathology, respectively. Additionally, certain clinical MND phenotypes such as amyotrophic lateral sclerosis (ALS) seem to present with distinct CNS atrophy patterns.ConclusionsAlthough CST T2-hyperintensities and the “motor band sign” are non-specific imaging features, they can be leveraged for diagnostic workup of suspected MND cases, together with certain brain atrophy patterns. Collectively, this study provides high-grade evidence for the usefulness of MRI in the diagnostic workup of suspected MND cases.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42020182682.
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Affiliation(s)
- Charlotte Zejlon
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Dominik Nakhostin
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
| | - Sebastian Winklhofer
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
| | - Athina Pangalu
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
| | - Zsolt Kulcsar
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
| | | | - Johannes Finnsson
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Center of Neurology, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden
| | - Caroline Ingre
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Tobias Granberg
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Benjamin Victor Ineichen
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zürich, Switzerland
- *Correspondence: Benjamin Victor Ineichen
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20
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McKenna MC, Lope J, Tan EL, Bede P. Pre-symptomatic radiological changes in frontotemporal dementia: propagation characteristics, predictive value and implications for clinical trials. Brain Imaging Behav 2022; 16:2755-2767. [PMID: 35920960 DOI: 10.1007/s11682-022-00711-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2022] [Indexed: 11/25/2022]
Abstract
Computational imaging and quantitative biomarkers offer invaluable insights in the pre-symptomatic phase of neurodegenerative conditions several years before clinical manifestation. In recent years, there has been a focused effort to characterize pre-symptomatic cerebral changes in familial frontotemporal dementias using computational imaging. Accordingly, a systematic literature review was conducted of original articles investigating pre-symptomatic imaging changes in frontotemporal dementia focusing on study design, imaging modalities, data interpretation, control cohorts and key findings. The review is limited to the most common genotypes: chromosome 9 open reading frame 72 (C9orf72), progranulin (GRN), or microtubule-associated protein tau (MAPT) genotypes. Sixty-eight studies were identified with a median sample size of 15 (3-141) per genotype. Only a minority of studies were longitudinal (28%; 19/68) with a median follow-up of 2 (1-8) years. MRI (97%; 66/68) was the most common imaging modality, and primarily grey matter analyses were conducted (75%; 19/68). Some studies used multimodal analyses 44% (30/68). Genotype-associated imaging signatures are presented, innovative study designs are highlighted, common methodological shortcomings are discussed and lessons for future studies are outlined. Emerging academic observations have potential clinical implications for expediting the diagnosis, tracking disease progression and optimising the timing of pharmaceutical trials.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland.,Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland. .,Department of Neurology, St James's Hospital, Dublin, Ireland.
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21
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McKenna MC, Tahedl M, Lope J, Chipika RH, Li Hi Shing S, Doherty MA, Hengeveld JC, Vajda A, McLaughlin RL, Hardiman O, Hutchinson S, Bede P. Mapping cortical disease-burden at individual-level in frontotemporal dementia: implications for clinical care and pharmacological trials. Brain Imaging Behav 2022; 16:1196-1207. [PMID: 34882275 PMCID: PMC9107414 DOI: 10.1007/s11682-021-00523-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2021] [Indexed: 01/25/2023]
Abstract
Imaging studies of FTD typically present group-level statistics between large cohorts of genetically, molecularly or clinically stratified patients. Group-level statistics are indispensable to appraise unifying radiological traits and describe genotype-associated signatures in academic studies. However, in a clinical setting, the primary objective is the meaningful interpretation of imaging data from individual patients to assist diagnostic classification, inform prognosis, and enable the assessment of progressive changes compared to baseline scans. In an attempt to address the pragmatic demands of clinical imaging, a prospective computational neuroimaging study was undertaken in a cohort of patients across the spectrum of FTD phenotypes. Cortical changes were evaluated in a dual pipeline, using standard cortical thickness analyses and an individualised, z-score based approach to characterise subject-level disease burden. Phenotype-specific patterns of cortical atrophy were readily detected with both methodological approaches. Consistent with their clinical profiles, patients with bvFTD exhibited orbitofrontal, cingulate and dorsolateral prefrontal atrophy. Patients with ALS-FTD displayed precentral gyrus involvement, nfvPPA patients showed widespread cortical degeneration including insular and opercular regions and patients with svPPA exhibited relatively focal anterior temporal lobe atrophy. Cortical atrophy patterns were reliably detected in single individuals, and these maps were consistent with the clinical categorisation. Our preliminary data indicate that standard T1-weighted structural data from single patients may be utilised to generate maps of cortical atrophy. While the computational interpretation of single scans is challenging, it offers unrivalled insights compared to visual inspection. The quantitative evaluation of individual MRI data may aid diagnostic classification, clinical decision making, and assessing longitudinal changes.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Marlene Tahedl
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
- Institute for Psychology, University of Regensburg, Regensburg, Germany
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | | | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
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22
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McKenna MC, Li Hi Shing S, Murad A, Lope J, Hardiman O, Hutchinson S, Bede P. Focal thalamus pathology in frontotemporal dementia: Phenotype-associated thalamic profiles. J Neurol Sci 2022; 436:120221. [DOI: 10.1016/j.jns.2022.120221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/21/2022] [Accepted: 03/03/2022] [Indexed: 11/25/2022]
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23
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McKenna MC, Murad A, Huynh W, Lope J, Bede P. The changing landscape of neuroimaging in frontotemporal lobar degeneration: from group-level observations to single-subject data interpretation. Expert Rev Neurother 2022; 22:179-207. [PMID: 35227146 DOI: 10.1080/14737175.2022.2048648] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION While the imaging signatures of frontotemporal lobar degeneration (FTLD) phenotypes and genotypes are well-characterised based on group-level descriptive analyses, the meaningful interpretation of single MRI scans remains challenging. Single-subject MRI classification frameworks rely on complex computational models and large training datasets to categorise individual patients into diagnostic subgroups based on distinguishing imaging features. Reliable individual subject data interpretation is hugely important in the clinical setting to expedite the diagnosis and classify individuals into relevant prognostic categories. AREAS COVERED This article reviews (1) the neuroimaging studies that propose single-subject MRI classification strategies in symptomatic and pre-symptomatic FTLD, (2) potential practical implications and (3) the limitations of current single-subject data interpretation models. EXPERT OPINION Classification studies in FTLD have demonstrated the feasibility of categorising individual subjects into diagnostic groups based on multiparametric imaging data. Preliminary data indicate that pre-symptomatic FTLD mutation carriers may also be reliably distinguished from controls. Despite momentous advances in the field, significant further improvements are needed before these models can be developed into viable clinical applications.
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Affiliation(s)
| | - Aizuri Murad
- Computational Neuroimaging Group, Trinity College Dublin, Ireland
| | - William Huynh
- Brain and Mind Centre, University of Sydney, Australia
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity College Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Ireland.,Pitié-Salpêtrière University Hospital, Sorbonne University, France
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24
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Ishaque A, Ta D, Khan M, Zinman L, Korngut L, Genge A, Dionne A, Briemberg H, Luk C, Yang YH, Beaulieu C, Emery D, Eurich DT, Frayne R, Graham S, Wilman A, Dupré N, Kalra S. Distinct patterns of progressive gray and white matter degeneration in amyotrophic lateral sclerosis. Hum Brain Mapp 2021; 43:1519-1534. [PMID: 34908212 PMCID: PMC8886653 DOI: 10.1002/hbm.25738] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 11/22/2021] [Accepted: 11/25/2021] [Indexed: 01/17/2023] Open
Abstract
Progressive cerebral degeneration in amyotrophic lateral sclerosis (ALS) remains poorly understood. Here, three-dimensional (3D) texture analysis was used to study longitudinal gray and white matter cerebral degeneration in ALS from routine T1-weighted magnetic resonance imaging (MRI). Participants were included from the Canadian ALS Neuroimaging Consortium (CALSNIC) who underwent up to three clinical assessments and MRI at four-month intervals, up to 8 months after baseline (T0 ). Three-dimensional maps of the texture feature autocorrelation were computed from T1-weighted images. One hundred and nineteen controls and 137 ALS patients were included, with 81 controls and 84 ALS patients returning for at least one follow-up. At baseline, texture changes in ALS patients were detected in the motor cortex, corticospinal tract, insular cortex, and bilateral frontal and temporal white matter compared to controls. Longitudinal comparison of texture maps between T0 and Tmax (last follow-up visit) within ALS patients showed progressive texture alterations in the temporal white matter, insula, and internal capsule. Additionally, when compared to controls, ALS patients had greater texture changes in the frontal and temporal structures at Tmax than at T0 . In subgroup analysis, slow progressing ALS patients had greater progressive texture change in the internal capsule than the fast progressing patients. Contrastingly, fast progressing patients had greater progressive texture changes in the precentral gyrus. These findings suggest that the characteristic longitudinal gray matter pathology in ALS is the progressive involvement of frontotemporal regions rather than a worsening pathology within the motor cortex, and that phenotypic variability is associated with distinct progressive spatial pathology.
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Affiliation(s)
- Abdullah Ishaque
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada
| | - Daniel Ta
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada
| | - Muhammad Khan
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada
| | - Lorne Zinman
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Canada
| | - Lawrence Korngut
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Angela Genge
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, Montreal, Canada
| | - Annie Dionne
- Département des Sciences Neurologiques, Hôpital de l'Enfant-Jésus, CHU de Québec, Quebec City, Canada
| | - Hannah Briemberg
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Collin Luk
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Yee-Hong Yang
- Department of Computing Science, University of Alberta, Edmonton
| | - Christian Beaulieu
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
| | - Derek Emery
- Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada
| | - Dean T Eurich
- School of Public Health, University of Alberta, Edmonton, Canada
| | - Richard Frayne
- Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada.,Seaman Family MR Research Centre, Foothills Medical Centre, Alberta Health Services, Calgary, Canada
| | - Simon Graham
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Alan Wilman
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
| | - Nicolas Dupré
- Neuroscience Axis, CHU de Québec, Université Laval, Quebec City, Canada.,Department of Medicine, Faculty of Medicine, Université Laval, Quebec City, Canada
| | - Sanjay Kalra
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada.,Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada
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25
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McKenna MC, Chipika RH, Li Hi Shing S, Christidi F, Lope J, Doherty MA, Hengeveld JC, Vajda A, McLaughlin RL, Hardiman O, Hutchinson S, Bede P. Infratentorial pathology in frontotemporal dementia: cerebellar grey and white matter alterations in FTD phenotypes. J Neurol 2021; 268:4687-4697. [PMID: 33983551 PMCID: PMC8563547 DOI: 10.1007/s00415-021-10575-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/19/2021] [Accepted: 04/19/2021] [Indexed: 12/16/2022]
Abstract
The contribution of cerebellar pathology to cognitive and behavioural manifestations is increasingly recognised, but the cerebellar profiles of FTD phenotypes are relatively poorly characterised. A prospective, single-centre imaging study has been undertaken with a high-resolution structural and diffusion tensor protocol to systematically evaluate cerebellar grey and white matter alterations in behavioural-variant FTD(bvFTD), non-fluent variant primary progressive aphasia(nfvPPA), semantic-variant primary progressive aphasia(svPPA), C9orf72-positive ALS-FTD(C9 + ALSFTD) and C9orf72-negative ALS-FTD(C9-ALSFTD). Cerebellar cortical thickness and complementary morphometric analyses were carried out to appraise atrophy patterns controlling for demographic variables. White matter integrity was assessed in a study-specific white matter skeleton, evaluating three diffusivity metrics: fractional anisotropy (FA), axial diffusivity (AD) and radial diffusivity (RD). Significant cortical thickness reductions were identified in: lobule VII and crus I in bvFTD; lobule VI VII, crus I and II in nfvPPA; and lobule VII, crus I and II in svPPA; lobule IV, VI, VII and Crus I and II in C9 + ALSFTD. Morphometry revealed volume reductions in lobule V in all groups; in addition to lobule VIII in C9 + ALSFTD; lobule VI, VIII and vermis in C9-ALSFTD; lobule V, VII and vermis in bvFTD; and lobule V, VI, VIII and vermis in nfvPPA. Widespread white matter alterations were demonstrated by significant fractional anisotropy, axial diffusivity and radial diffusivity changes in each FTD phenotype that were more focal in those with C9 + ALSFTD and svPPA. Our findings indicate that FTD subtypes are associated with phenotype-specific cerebellar signatures with the selective involvement of specific lobules instead of global cerebellar atrophy.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Foteini Christidi
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | | | - Peter Bede
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland. .,Department of Neurology, St James's Hospital, Dublin, Ireland.
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