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Parnianpour P, Benatar M, Briemberg H, Dey A, Dionne A, Dupré N, Evans KC, Frayne R, Genge A, Graham SJ, Korngut L, McLaren DG, Seres P, Welsh RC, Wilman A, Zinman L, Kalra S. Mismatch between clinically defined classification of ALS stage and the burden of cerebral pathology. J Neurol 2024; 271:2547-2559. [PMID: 38282082 DOI: 10.1007/s00415-024-12190-x] [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: 11/16/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 01/30/2024]
Abstract
This study aimed to investigate the clinical stratification of amyotrophic lateral sclerosis (ALS) patients in relation to in vivo cerebral degeneration. One hundred forty-nine ALS patients and one hundred forty-four healthy controls (HCs) were recruited from the Canadian ALS Neuroimaging Consortium (CALSNIC). Texture analysis was performed on T1-weighted scans to extract the texture feature "autocorrelation" (autoc), an imaging biomarker of cerebral degeneration. Patients were stratified at baseline into early and advanced disease stages based on criteria adapted from ALS clinical trials and the King's College staging system, as well as into slow and fast progressors (disease progression rates, DPR). Patients had increased autoc in the internal capsule. These changes extended beyond the internal capsule in early-stage patients (clinical trial-based criteria), fast progressors, and in advanced-stage patients (King's staging criteria). Longitudinal increases in autoc were observed in the postcentral gyrus, corticospinal tract, posterior cingulate cortex, and putamen; whereas decreases were observed in corpus callosum, caudate, central opercular cortex, and frontotemporal areas. Both longitudinal increases and decreases of autoc were observed in non-overlapping regions within insula and precentral gyrus. Within-criteria comparisons of autoc revealed more pronounced changes at baseline and longitudinally in early- (clinical trial-based criteria) and advanced-stage (King's staging criteria) patients and fast progressors. In summary, comparative patterns of baseline and longitudinal progression in cerebral degeneration are dependent on sub-group selection criteria, with clinical trial-based stratification insufficiently characterizing disease stage based on pathological cerebral burden.
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Affiliation(s)
- Pedram Parnianpour
- Neuroscience and Mental Health Institute, University of Alberta, 562 Heritage Medical Research Centre, 11313-87 Ave, Edmonton, AB, T6G2S2, Canada.
| | - Michael Benatar
- Department of Neurology, University of Miami Miller School of Medicine, Miami, USA
| | - Hannah Briemberg
- Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | - Avyarthana Dey
- Neuroscience and Mental Health Institute, University of Alberta, 562 Heritage Medical Research Centre, 11313-87 Ave, Edmonton, AB, T6G2S2, Canada
| | - Annie Dionne
- Axe Neurosciences, CHU de Québec-Université Laval, Québec City, QC, Canada
- Department of Medicine, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
| | - Nicolas Dupré
- Axe Neurosciences, CHU de Québec-Université Laval, Québec City, QC, Canada
- Department of Medicine, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
| | | | - Richard Frayne
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Angela Genge
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Simon J Graham
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Lawrence Korngut
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | | | - Peter Seres
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
| | - Robert C Welsh
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Alan Wilman
- Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada
| | - Lorne Zinman
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Sanjay Kalra
- Neuroscience and Mental Health Institute, University of Alberta, 562 Heritage Medical Research Centre, 11313-87 Ave, Edmonton, AB, T6G2S2, Canada
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
- Division of Neurology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
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Mohammadi S, Ghaderi S, Fatehi F. MRI biomarkers and neuropsychological assessments of hippocampal and parahippocampal regions affected by ALS: A systematic review. CNS Neurosci Ther 2024; 30:e14578. [PMID: 38334254 PMCID: PMC10853901 DOI: 10.1111/cns.14578] [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: 09/14/2023] [Revised: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND AND OBJECTIVE Amyotrophic lateral sclerosis (ALS) is a progressive motor and extra-motor neurodegenerative disease. This systematic review aimed to examine MRI biomarkers and neuropsychological assessments of the hippocampal and parahippocampal regions in patients with ALS. METHODS A systematic review was conducted in the Scopus and PubMed databases for studies published between January 2000 and July 2023. The inclusion criteria were (1) MRI studies to assess hippocampal and parahippocampal regions in ALS patients, and (2) studies reporting neuropsychological data in patients with ALS. RESULTS A total of 46 studies were included. Structural MRI revealed hippocampal atrophy, especially in ALS-FTD, involving specific subregions (CA1, dentate gyrus). Disease progression and genetic factors impacted atrophy patterns. Diffusion tensor imaging (DTI) showed increased mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), and decreased fractional anisotropy (FA) in the hippocampal tracts and adjacent regions, indicating loss of neuronal and white matter integrity. Functional MRI (fMRI) revealed reduced functional connectivity (FC) between the hippocampus, parahippocampus, and other regions, suggesting disrupted networks. Perfusion MRI showed hypoperfusion in parahippocampal gyri. Magnetic resonance spectroscopy (MRS) found changes in the hippocampus, indicating neuronal loss. Neuropsychological tests showed associations between poorer memory and hippocampal atrophy or connectivity changes. CA1-2, dentate gyrus, and fimbria atrophy were correlated with worse memory. CONCLUSIONS The hippocampus and the connected regions are involved in ALS. Hippocampal atrophy disrupted connectivity and metabolite changes correlate with cognitive and functional decline. Specific subregions can be particularly affected. The hippocampus is a potential biomarker for disease monitoring and prognosis.
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Affiliation(s)
- Sana Mohammadi
- Neuromuscular Research Center, Department of Neurology, Shariati HospitalTehran University of Medical SciencesTehranIran
- Department of Medical Sciences, School of MedicineIran University of Medical SciencesTehranIran
| | - Sadegh Ghaderi
- Neuromuscular Research Center, Department of Neurology, Shariati HospitalTehran University of Medical SciencesTehranIran
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in MedicineTehran University of Medical SciencesTehranIran
| | - Farzad Fatehi
- Neuromuscular Research Center, Department of Neurology, Shariati HospitalTehran University of Medical SciencesTehranIran
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Moretta P, Spisto M, Ausiello FP, Iodice R, De Lucia N, Santangelo G, Trojano L, Salvatore E, Dubbioso R. Alteration of interoceptive sensitivity: expanding the spectrum of behavioural disorders in amyotrophic lateral sclerosis. Neurol Sci 2022; 43:5403-5410. [PMID: 35751711 PMCID: PMC9385786 DOI: 10.1007/s10072-022-06231-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/17/2022] [Indexed: 11/23/2022]
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder with progressive loss of upper and lower motor neurons. Non-motor-symptoms, such as cognitive, emotional, autonomic, and somatosensory alterations, have been also described. Interoception represents the link between the body and brain, since it refers to the ability to consciously perceive the physical condition of the inner body, including one’s heartbeat (i.e., interoceptive sensitivity, IS). Objectives To evaluate IS in ALS patients by means of a well-established task: the heartbeat perception task. Moreover, we evaluated possible correlations between IS and neuropsychological, affective, and disease-related characteristics. Methods Fifty-five ALS patients (mean-age = 60.3 ± 12.5 years; mean disease-duration = 20.9 ± 18.8 months) and 41 caregivers (CG) underwent the heartbeat perception task and an extensive evaluation of motor, cognitive, body awareness, affective, and emotion domains. Results ALS patients showed lower IS than CG (0.68 ± 0.24 vs 0.82 ± 0.16; p = 0.003). Significant correlations were found between IS and self-reported measures of alexithymia (subscale of Toronto Alexithymia scale-20 “difficulties in describing feelings”; rho = − .391, p = .003) and interoceptive awareness (subscale of Multidimensional assessment of interoceptive awareness “not worrying about pain”; rho = .405, p = .002). No significant differences were found on questionnaires for depression and anxiety between patients with ALS and their caregivers (p > .05). Conclusions ALS patients show reduced interoceptive sensitivity that is associated with poorer ability to describe feelings and with lower focalization on pain, regardless of cognitive and motor impairment. Alteration of interoception may represent a specific behavioural sign within the spectrum of emotion processing deficits described in ALS patients. Supplementary Information The online version contains supplementary material available at 10.1007/s10072-022-06231-4.
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Cortical and subcortical grey matter atrophy in Amyotrophic Lateral Sclerosis correlates with measures of disease accumulation independent of disease aggressiveness. Neuroimage Clin 2022; 36:103162. [PMID: 36067613 PMCID: PMC9460837 DOI: 10.1016/j.nicl.2022.103162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 07/11/2022] [Accepted: 08/18/2022] [Indexed: 12/14/2022]
Abstract
There is a growing demand for reliable biomarkers to monitor disease progression in Amyotrophic Lateral Sclerosis (ALS) that also take the heterogeneity of ALS into account. In this study, we explored the association between Magnetic Resonance Imaging (MRI)-derived measures of cortical thickness (CT) and subcortical grey matter (GM) volume with D50 model parameters. T1-weighted MRI images of 72 Healthy Controls (HC) and 100 patients with ALS were analyzed using Surface-based Morphometry for cortical structures and Voxel-based Morphometry for subcortical Region-Of-Interest analyses using the Computational Anatomy Toolbox (CAT12). In Inter-group contrasts, these parameters were compared between patients and HC. Further, the D50 model was used to conduct subgroup-analyses, dividing patients by a) Phase of disease covered at the time of MRI-scan and b) individual overall disease aggressiveness. Finally, correlations between GM and D50 model-derived parameters were examined. Inter-group analyses revealed ALS-related cortical thinning compared to HC located mainly in frontotemporal regions and a decrease in GM volume in the left hippocampus and amygdala. A comparison of patients in different phases showed further cortical and subcortical GM atrophy along with disease progression. Correspondingly, regression analyses identified negative correlations between cortical thickness and individual disease covered. However, there were no differences in CT and subcortical GM between patients with low and high disease aggressiveness. By application of the D50 model, we identified correlations between cortical and subcortical GM atrophy and ALS-related functional disability, but not with disease aggressiveness. This qualifies CT and subcortical GM volume as biomarkers representing individual disease covered to monitor therapeutic interventions in ALS.
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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: 1.0] [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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6
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Ta D, Ishaque A, Srivastava O, Hanstock C, Seres P, Eurich DT, Luk C, Briemberg H, Frayne R, Genge AL, Graham SJ, Korngut L, Zinman L, Kalra S. Progressive Neurochemical Abnormalities in Cognitive and Motor Subgroups of Amyotrophic Lateral Sclerosis: A Prospective Multicenter Study. Neurology 2021; 97:e803-e813. [PMID: 34426551 PMCID: PMC8397589 DOI: 10.1212/wnl.0000000000012367] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 05/19/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To evaluate progressive cerebral degeneration in amyotrophic lateral sclerosis (ALS) by assessing alterations in N-acetylaspartate (NAA) ratios in the motor and prefrontal cortex within clinical subgroups of ALS. METHODS Seventy-six patients with ALS and 59 healthy controls were enrolled in a prospective, longitudinal, multicenter study in the Canadian ALS Neuroimaging Consortium. Participants underwent serial clinical evaluations and magnetic resonance spectroscopy at baseline and 4 and 8 months using a harmonized protocol across 5 centers. NAA ratios were quantified in the motor cortex and prefrontal cortex. Patients were stratified into subgroups based on disease progression rate, upper motor neuron (UMN) signs, and cognitive status. Linear mixed models were used for baseline and longitudinal comparisons of NAA metabolite ratios. RESULTS Patients with ALS had reduced NAA ratios in the motor cortex at baseline (p < 0.001). Ratios were lower in those with more rapid disease progression and greater UMN signs (p < 0.05). A longitudinal decline in NAA ratios was observed in the motor cortex in the rapidly progressing (p < 0.01) and high UMN burden (p < 0.01) cohorts. The severity of UMN signs did not change significantly over time. NAA ratios were reduced in the prefrontal cortex only in cognitively impaired patients (p < 0.05); prefrontal cortex metabolites did not change over time. CONCLUSIONS Progressive degeneration of the motor cortex in ALS is associated with more aggressive clinical presentations. These findings provide biological evidence of variable spatial and temporal cerebral degeneration linked to the disease heterogeneity of ALS. The use of standardized imaging protocols may have a role in clinical trials for patient selection or subgrouping. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that MRS NAA metabolite ratios of the motor cortex are associated with more rapid disease progression and greater UMN signs in patients with ALS. TRIAL REGISTRATION INFORMATION ClinicalTrials.gov Identifier: NCT02405182.
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Affiliation(s)
- Daniel Ta
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada.
| | - Abdullah Ishaque
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Ojas Srivastava
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Chris Hanstock
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Peter Seres
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Dean T Eurich
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Collin Luk
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Hannah Briemberg
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Richard Frayne
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Angela L Genge
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Simon J Graham
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Lawrence Korngut
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Lorne Zinman
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada
| | - Sanjay Kalra
- From the Neuroscience and Mental Health Institute (D.T., A.I., O.S., S.K.), Department of Biomedical Engineering (C.H., P.S.), School of Public Health (D.T.E.), and Division of Neurology (C.L., S.K.), University of Alberta, Edmonton; Division of Neurology (H.B.), University of British Columbia, Vancouver; Seaman Family MR Centre (R.F.) and Hotchkiss Brain Institute (R.F., L.K.), University of Calgary, Alberta; Montreal Neurological Institute (A.L.G.), McGill University, Quebec; and Sunnybrook Health Sciences Centre (S.J.G., L.Z.), University of Toronto, Ontario, Canada.
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7
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Benbrika S, Doidy F, Carluer L, Mondou A, Pélerin A, Eustache F, Viader F, Desgranges B. Longitudinal Study of Cognitive and Emotional Alterations in Amyotrophic Lateral Sclerosis: Clinical and Imaging Data. Front Neurol 2021; 12:620198. [PMID: 34305771 PMCID: PMC8296637 DOI: 10.3389/fneur.2021.620198] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 05/24/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: Extra-motor manifestations occur in 50% of patients with amyotrophic lateral sclerosis (ALS). These mainly concern cognition, emotional processing and behavior. Depression and anxiety are less frequent. Little is known about how these manifestations change as the disease progresses. Similarly, although cortical thinning has been well-documented at disease onset, there are scant data about cortical thinning over time and how this correlates with extra-motor manifestations. The present study therefore assessed cognitive, emotional and psychological state and cortical thinning in a group of patients with ALS at baseline and after a follow-up period. Methods: We assessed executive functions, facial emotion recognition, depressive and anxious symptoms, and cortical thinning in 43 patients with ALS at baseline, comparing them with 28 healthy controls, and 21 of them 9 months later. We looked for links among the extra-motor manifestations and correlations with cortical thickness. Results: At baseline, patients had poor executive function and recognition of complex emotions from the eyes, and more anxious and depressive symptoms than controls. At follow-up, only inhibition abilities had worsened. Cortical thinning was observed in bilateral pre-central regions and other parts of the cerebral cortex at baseline. Over time, it worsened in motor and extra-motor areas. Executive functions correlated with thinning in the middle and inferior frontal gyrus and orbitofrontal cortex. Conclusions: During follow-up, there was little deterioration in extra-motor manifestations and psychological state, despite continuing cortical thinning. Patients with affective Theory of Mind (ToM) changes seemed less depressed than the others. Impaired mental flexibility was subtended by prefrontal regions with cortical thinning.
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Affiliation(s)
- Soumia Benbrika
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - Franck Doidy
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - Laurence Carluer
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - Audrey Mondou
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - Alice Pélerin
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - Francis Eustache
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - Fausto Viader
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - Béatrice Desgranges
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
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8
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Kalra S, Müller HP, Ishaque A, Zinman L, Korngut L, Genge A, Beaulieu C, Frayne R, Graham SJ, Kassubek J. A prospective harmonized multicenter DTI study of cerebral white matter degeneration in ALS. Neurology 2020; 95:e943-e952. [PMID: 32646955 DOI: 10.1212/wnl.0000000000010235] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 02/17/2020] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE To evaluate progressive white matter (WM) degeneration in amyotrophic lateral sclerosis (ALS). METHODS Sixty-six patients with ALS and 43 healthy controls were enrolled in a prospective, longitudinal, multicenter study in the Canadian ALS Neuroimaging Consortium (CALSNIC). Participants underwent a harmonized neuroimaging protocol across 4 centers that included diffusion tensor imaging (DTI) for assessment of WM integrity. Three visits were accompanied by clinical assessments of disability (ALS Functional Rating Scale-Revised [ALSFRS-R]) and upper motor neuron (UMN) function. Voxel-wise whole-brain and quantitative tract-wise DTI assessments were done at baseline and longitudinally. Correction for site variance incorporated data from healthy controls and from healthy volunteers who underwent the DTI protocol at each center. RESULTS Patients with ALS had a mean progressive decline in fractional anisotropy (FA) of the corticospinal tract (CST) and frontal lobes. Tract-wise analysis revealed reduced FA in the CST, corticopontine/corticorubral tract, and corticostriatal tract. CST FA correlated with UMN function, and frontal lobe FA correlated with the ALSFRS-R score. A progressive decline in CST FA correlated with a decline in the ALSFRS-R score and worsening UMN signs. Patients with fast vs slow progression had a greater reduction in FA of the CST and upper frontal lobe. CONCLUSIONS Progressive WM degeneration in ALS is most prominent in the CST and frontal lobes and, to a lesser degree, in the corticopontine/corticorubral tracts and corticostriatal pathways. With the use of a harmonized imaging protocol and incorporation of analytic methods to address site-related variances, this study is an important milestone toward developing DTI biomarkers for cerebral degeneration in ALS. CLINICALTRIALSGOV IDENTIFIER NCT02405182.
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Affiliation(s)
- Sanjay Kalra
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada.
| | - Hans-Peter Müller
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada
| | - Abdullah Ishaque
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada
| | - Lorne Zinman
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada
| | - Lawrence Korngut
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada
| | - Angela Genge
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada
| | - Christian Beaulieu
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada
| | - Richard Frayne
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada
| | - Simon J Graham
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada
| | - Jan Kassubek
- From the Division of Neurology (S.K.), Department of Medicine, Neuroscience and Mental Health Institute (S.K., A.I.), and Department of Biomedical Engineering (C.B.), University of Alberta, Edmonton, Canada; Department of Neurology (H.-P.M., J.K.), University of Ulm, Germany; Sunnybrook Health Sciences Centre (L.Z., S.J.G.), University of Toronto, Ontario; Departments of Clinical Neurosciences (L.K., R.F.) and Radiology (R.F.), Hotchkiss Brain Institute, University of Calgary, Alberta; Montreal Neurological Institute and Hospital (A.G.), McGill University, Quebec; and Seaman Family MR Research Centre (R.F.), Foothills Medical Centre, Calgary, Alberta, Canada
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9
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Rojas P, de Hoz R, Ramírez AI, Ferreras A, Salobrar-Garcia E, Muñoz-Blanco JL, Urcelay-Segura JL, Salazar JJ, Ramírez JM. Changes in Retinal OCT and Their Correlations with Neurological Disability in Early ALS Patients, a Follow-Up Study. Brain Sci 2019; 9:brainsci9120337. [PMID: 31771268 PMCID: PMC6955774 DOI: 10.3390/brainsci9120337] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/12/2019] [Accepted: 11/21/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND To compare early visual changes in amyotrophic lateral sclerosis (ALS) patients with healthy controls in a baseline exploration, to follow-up the patients after 6 months, and to correlate these visual changes with neurological disability. METHODS All patients underwent a comprehensive neurological and ophthalmological examination. A linear mixed analysis and Bonferroni p-value correction were performed, testing four comparisons as follows: Control baseline vs. control follow-up, control baseline vs. ALS baseline, control follow-up vs. ALS follow-up, and ALS baseline vs. ALS follow-up. RESULTS The mean time from the diagnosis was 10.80 ± 5.5 months. The analysis of the optical coherence tomography (OCT) showed: (1) In ALS baseline vs. control baseline, a macular significantly increased thickness of the inner macular ring temporal and inferior areas; (2) in ALS follow-up vs. ALS baseline, a significant macular thinning in the inner and outer macular ring inferior areas; (3) in ALS follow-up vs. ALS baseline, a significant peripapillary retinal nerve fiber layer (pRNFL) thinning in the superior and inferior quadrants; and (4) ALS patients showed a moderate correlation between some OCT pRNFL parameters and Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R) score. CONCLUSION The OCT showed retinal changes in patients with motoneuron disease and could serve as a complementary tool for studying ALS.
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Affiliation(s)
- Pilar Rojas
- General University Hospital Gregorio Marañón, Ophthalmic Institute of Madrid, 28007 Madrid, Spain; (P.R.); (J.L.U.-S.)
- Ramón Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, 28040 Madrid, Spain; (R.d.H.); (A.I.R.); (E.S.-G.)
| | - Rosa de Hoz
- Ramón Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, 28040 Madrid, Spain; (R.d.H.); (A.I.R.); (E.S.-G.)
- Department of Immunology, Ophthalmology and Otorhinolaryngology, School of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
| | - Ana I. Ramírez
- Ramón Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, 28040 Madrid, Spain; (R.d.H.); (A.I.R.); (E.S.-G.)
- Department of Immunology, Ophthalmology and Otorhinolaryngology, School of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
| | - Antonio Ferreras
- Miguel Servet University Hospital, Aragonese Institute of Health Sciences, 50009 Zaragoza, Spain;
| | - Elena Salobrar-Garcia
- Ramón Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, 28040 Madrid, Spain; (R.d.H.); (A.I.R.); (E.S.-G.)
- Department of Immunology, Ophthalmology and Otorhinolaryngology, School of Medicine, Complutense University, 28040 Madrid, Spain
| | - José L. Muñoz-Blanco
- Department of Neurology, ALS-Neuromuscular Unit, Gregorio Marañón Health Research Institute, 28007 Madrid, Spain;
| | - José L. Urcelay-Segura
- General University Hospital Gregorio Marañón, Ophthalmic Institute of Madrid, 28007 Madrid, Spain; (P.R.); (J.L.U.-S.)
- Department of Immunology, Ophthalmology and Otorhinolaryngology, School of Medicine, Complutense University, 28040 Madrid, Spain
| | - Juan J. Salazar
- Ramón Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, 28040 Madrid, Spain; (R.d.H.); (A.I.R.); (E.S.-G.)
- Department of Immunology, Ophthalmology and Otorhinolaryngology, School of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
- Correspondence: (J.J.S.); (J.M.R.)
| | - José M. Ramírez
- Ramón Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, 28040 Madrid, Spain; (R.d.H.); (A.I.R.); (E.S.-G.)
- Department of Immunology, Ophthalmology and Otorhinolaryngology, School of Medicine, Complutense University, 28040 Madrid, Spain
- Correspondence: (J.J.S.); (J.M.R.)
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10
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Gatto RG, Amin M, Finkielsztein A, Weissmann C, Barrett T, Lamoutte C, Uchitel O, Sumagin R, Mareci TH, Magin RL. Unveiling early cortical and subcortical neuronal degeneration in ALS mice by ultra-high field diffusion MRI. Amyotroph Lateral Scler Frontotemporal Degener 2019; 20:549-561. [DOI: 10.1080/21678421.2019.1620285] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Rodolfo G. Gatto
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA,
| | - Manish Amin
- Department of Biochemistry and Molecular Biology, National High Magnetic Field Laboratory, University of Florida, Gainesville, FL, USA,
| | - Ariel Finkielsztein
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA,
| | - Carina Weissmann
- Institute for Physiology, Molecular Biology and Neurosciences (IFIBYNE CONICET-UBA), Buenos Aires, Argentina,
| | - Thomas Barrett
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA, and
| | - Caroline Lamoutte
- Department of Microbiology, University of Florida, Gainesville, FL, USA
| | - Osvaldo Uchitel
- Institute for Physiology, Molecular Biology and Neurosciences (IFIBYNE CONICET-UBA), Buenos Aires, Argentina,
| | - Ronen Sumagin
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA,
| | - Thomas H. Mareci
- Department of Biochemistry and Molecular Biology, National High Magnetic Field Laboratory, University of Florida, Gainesville, FL, USA,
| | - Richard L. Magin
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA,
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11
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Bueno APA, Pinaya WHL, Rebello K, de Souza LC, Hornberger M, Sato JR. Regional Dynamics of the Resting Brain in Amyotrophic Lateral Sclerosis Using Fractional Amplitude of Low-Frequency Fluctuations and Regional Homogeneity Analyses. Brain Connect 2019; 9:356-364. [PMID: 30793923 DOI: 10.1089/brain.2019.0663] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Resting-state functional magnetic resonance imaging has been playing an important role in the study of amyotrophic lateral sclerosis (ALS). Although functional connectivity is widely studied, the patterns of spontaneous neural activity of the resting brain are important mechanisms that have been used recently to study a variety of conditions but remain less explored in ALS. Here we have used fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) to study the regional dynamics of the resting brain of nondemented ALS patients compared with healthy controls. As expected, we found the sensorimotor network with changes in fALFF and ReHo, and also found the default mode network (DMN), frontoparietal network (FPN), and salience network (SN) altered and the cerebellum, although no structural changes between ALS patients and controls were reported in the regions with fALFF and ReHo changes. We show an altered pattern in the spontaneous low-frequency oscillations that is not confined to the motor areas and reveal a more widespread involvement of nonmotor regions, including those responsible for cognition.
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Affiliation(s)
- Ana Paula Arantes Bueno
- 1 Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André, Brazil.,2 Department of Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Walter Hugo Lopez Pinaya
- 1 Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André, Brazil.,3 Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Keila Rebello
- 1 Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André, Brazil
| | - Leonardo Cruz de Souza
- 4 Department of Internal Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Michael Hornberger
- 2 Department of Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.,5 Norfolk and Suffolk NHS Foundation Trust, Norwich, United Kingdom
| | - João Ricardo Sato
- 1 Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André, Brazil
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12
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Zhang Y, Qiu T, Yuan X, Zhang J, Wang Y, Zhang N, Zhou C, Luo C, Zhang J. Abnormal topological organization of structural covariance networks in amyotrophic lateral sclerosis. NEUROIMAGE-CLINICAL 2018; 21:101619. [PMID: 30528369 PMCID: PMC6411656 DOI: 10.1016/j.nicl.2018.101619] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 11/03/2018] [Accepted: 11/29/2018] [Indexed: 01/12/2023]
Abstract
Neuroimaging studies of patients with amyotrophic lateral sclerosis (ALS) have shown widespread alterations in structure, function, and connectivity in both motor and non-motor brain regions, suggesting multi-systemic neurobiological abnormalities that might impact large-scale brain networks. Here, we examined the alterations in the topological organization of structural covariance networks of ALS patients (N = 60) compared with normal controls (N = 60). We found that structural covariance networks of ALS patients showed a consistent rearrangement towards a regularized architecture evidenced by increased path length, clustering coefficient, small-world index, and modularity, as well as decreased global efficiency, suggesting inefficient global integration and increased local segregation. Locally, ALS patients showed decreased nodal degree and betweenness in the gyrus rectus and/or Heschl's gyrus, and increased betweenness in the supplementary motor area, triangular part of the inferior frontal gyrus, supramarginal gyrus and posterior cingulate cortex. In addition, we identified a different number and distribution of hubs in ALS patients, showing more frontal and subcortical hubs than in normal controls. In conclusion, we reveal abnormal topological organization of structural covariance networks in ALS patients, and provide network-level evidence for the concept that ALS is a multisystem disorder with a cerebral involvement extending beyond the motor areas.
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Affiliation(s)
- Yuanchao Zhang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Ting Qiu
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Xinru Yuan
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Jinlei Zhang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Yue Wang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Na Zhang
- School of Mathematical Sciences, University of Jinan, Jinan 250022, Shandong Province, PR China
| | - Chaoyang Zhou
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing 400038, PR China
| | - Chunxia Luo
- Department of Neurology, Southwest Hospital, Third Military Medical University, Chongqing 400038, PR China
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing 400030, PR China; Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing 400044, PR China.
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13
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Mazón M, Vázquez Costa JF, Ten-Esteve A, Martí-Bonmatí L. Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis. Front Neurosci 2018; 12:784. [PMID: 30410433 PMCID: PMC6209630 DOI: 10.3389/fnins.2018.00784] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 10/10/2018] [Indexed: 12/17/2022] Open
Abstract
The term amyotrophic lateral sclerosis (ALS) comprises a heterogeneous group of fatal neurodegenerative disorders of largely unknown etiology characterized by the upper motor neurons (UMN) and/or lower motor neurons (LMN) degeneration. The development of brain imaging biomarkers is essential to advance in the diagnosis, stratification and monitoring of ALS, both in the clinical practice and clinical trials. In this review, the characteristics of an optimal imaging biomarker and common pitfalls in biomarkers evaluation will be discussed. Moreover, the development and application of the most promising brain magnetic resonance (MR) imaging biomarkers will be reviewed. Finally, the integration of both qualitative and quantitative multimodal brain MR biomarkers in a structured report will be proposed as a support tool for ALS diagnosis and stratification.
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Affiliation(s)
- Miguel Mazón
- Radiology and Biomedical Imaging Research Group (GIBI230), La Fe University and Polytechnic Hospital and La Fe Health Research Institute, Valencia, Spain
| | - Juan Francisco Vázquez Costa
- Neuromuscular Research Unit, Instituto de Investigación Sanitaria la Fe (IIS La Fe), Valencia, Spain
- ALS Unit, Department of Neurology, Hospital Universitario y Politécnico La Fe, Valencia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - Amadeo Ten-Esteve
- Radiology and Biomedical Imaging Research Group (GIBI230), La Fe University and Polytechnic Hospital and La Fe Health Research Institute, Valencia, Spain
| | - Luis Martí-Bonmatí
- Radiology and Biomedical Imaging Research Group (GIBI230), La Fe University and Polytechnic Hospital and La Fe Health Research Institute, Valencia, Spain
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14
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Rohani M, Meysamie A, Zamani B, Sowlat MM, Akhoundi FH. Reduced retinal nerve fiber layer (RNFL) thickness in ALS patients: a window to disease progression. J Neurol 2018; 265:1557-1562. [PMID: 29713825 DOI: 10.1007/s00415-018-8863-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Revised: 04/03/2018] [Accepted: 04/06/2018] [Indexed: 01/08/2023]
Abstract
OBJECTIVES To assess RNFL thickness in ALS patients and compare it to healthy controls, and to detect possible correlations between RNFL thickness in ALS patients and disease severity and duration. METHODS Study population consisted of ALS patients and age- and sex-matched controls. We used the revised ALS functional rating scale (ALSFRS-R) as a measure of disease severity. RNFL thickness in the four quadrants were measured with a spectral domain OCT (Topcon 3D, 2015). RESULTS We evaluated 20 ALS patients (40 eyes) and 25 healthy matched controls. Average RNFL thickness in ALS patients was significantly reduced compared to controls (102.57 ± 13.46 compared to 97.11 ± 10.76, p 0.04). There was a significant positive correlation between the functional abilities of the patients based on the ALSFRS-R and average RNFL thickness and also RNFL thickness in most quadrants. A linear regression analysis proved that this correlation was independent of age. In ALS patients, RNFL thickness in the nasal quadrant of the left eyes was significantly reduced compared to the corresponding quadrant in the right eyes even after adjustment for multiplicity (85.80 ± 23.20 compared to 96.80 ± 16.96, p = 0.008). CONCLUSION RNFL thickness in ALS patients is reduced compared to healthy controls. OCT probably could serve as a marker of neurodegeneration and progression of the disease in ALS patients. RNFL thickness is different among the right and left eyes of ALS patients pointing to the fact that asymmetric CNS involvement in ALS is not confined to the motor system.
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Affiliation(s)
- Mohammad Rohani
- Department of Neurology, Hazrat Rasool Hospital, Iran University of Medical Sciences, Tehran, Iran.,Division of Neurology, Morton and Gloria Shulman Movement Disorders Clinic and the Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada
| | - Alipasha Meysamie
- Department of Community and Preventive Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Babak Zamani
- Department of Neurology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | | | - Fahimeh Haji Akhoundi
- Department of Neurology, Firoozgar Hospital, Iran University of Medical Sciences, Vali-e-Asr Sq., Beh-Afarin Blvd, Tehran, 1417613151, Iran.
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15
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Shen D, Cui L, Fang J, Cui B, Li D, Tai H. Voxel-Wise Meta-Analysis of Gray Matter Changes in Amyotrophic Lateral Sclerosis. Front Aging Neurosci 2016; 8:64. [PMID: 27065078 PMCID: PMC4811926 DOI: 10.3389/fnagi.2016.00064] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2015] [Accepted: 03/14/2016] [Indexed: 12/11/2022] Open
Abstract
Background: Increasing neuroimaging studies have revealed gray matter (GM) anomalies of several brain regions by voxel-based morphometry (VBM) studies in patients with amyotrophic lateral sclerosis (ALS). A voxel-wise meta-analysis was conducted to integrate the reported studies to determine the consistent GM alterations in ALS based on VBM methods. Methods: Ovid Medline, Pubmed, Emabase, and BrainMap database were searched for relevant studies.Data were extracted by two independent researchers. Voxel-wise meta-analysis was performed using the effect-size signed differential mapping (ES-SDM) software. Results: Twenty-nine VBM studies comprising 638 subjects with ALS and 622 healthy controls (HCs) met inclusion criteria.The global GM volumes of ALS patients were significantly decreased compared with those of HCs. GM reductions in patients were mainly located in the right precentral gyrus, the left Rolandic operculum, the left lenticular nucleus and the right anterior cingulate/paracingulate gyri. The right precentral gyrus and the left inferior frontal gyrus might be potential anatomical biomarkers to evaluate the severity of the disease, and longer disease duration was associated with more GM atrophy in the left frontal aslant tract and the right precentral gyrus in ALS patients. Conclusion: The results support that ALS is a complex degenerative disease involving multisystems besides the motor system.The mechanism of asymmetric atrophy of the motor cortex and the implication of Rolandic operculum involvement in ALS need to be further elucidated in future studies.
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Affiliation(s)
- Dongchao Shen
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing, China
| | - Liying Cui
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical SciencesBeijing, China; Neuroscience Center, Chinese Academy of Medical SciencesBeijing, China
| | - Jia Fang
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing, China
| | - Bo Cui
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing, China
| | - Dawei Li
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing, China
| | - Hongfei Tai
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing, China
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16
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Agosta F, Ferraro PM, Riva N, Spinelli EG, Chiò A, Canu E, Valsasina P, Lunetta C, Iannaccone S, Copetti M, Prudente E, Comi G, Falini A, Filippi M. Structural brain correlates of cognitive and behavioral impairment in MND. Hum Brain Mapp 2016; 37:1614-26. [PMID: 26833930 DOI: 10.1002/hbm.23124] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Revised: 12/23/2015] [Accepted: 01/11/2016] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE To assess the structural correlates of cognitive and behavioral impairment in motor neuron diseases (MND) using multimodal MRI. METHODS One hundred one patients with sporadic MND (56 classic amyotrophic lateral sclerosis, 31 upper motor neuron phenotype, and 14 lower motor neuron phenotype) and 51 controls were enrolled. Patients were classified into MND with a pure motor syndrome (MND-motor) and with cognitive/behavioral symptoms (MND-plus). Cortical thickness measures and diffusion tensor (DT) metrics of white matter (WM) tracts were assessed. A random forest approach was used to explore the independent role of cortical and WM abnormalities in explaining major cognitive and behavioral symptoms. RESULTS There were 48 MND-motor and 53 MND-plus patients. Relative to controls, both patient groups showed a distributed cortical thinning of the bilateral precentral gyrus, insular and cingulate cortices, and frontotemporal regions. In all regions, there was a trend toward a more severe involvement in MND-plus cases, particularly in the temporal lobes. Both patient groups showed damage to the motor callosal fibers, which was more severe in MND-plus. MND-plus patients also showed a more severe involvement of the extra-motor WM tracts. The best predictors of executive and non-executive deficits and behavioral symptoms in MND were diffusivity abnormalities of the corpus callosum and frontotemporal tracts, including the uncinate, cingulum, and superior longitudinal fasciculi. CONCLUSIONS Cortical thinning and WM degeneration are highly associated with neuropsychological and behavioral symptoms in patients with MND. DT MRI metrics seem to be the most sensitive markers of extra-motor deficits within the MND spectrum.
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Affiliation(s)
- Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Pilar M Ferraro
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Nilo Riva
- Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Edoardo G Spinelli
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Adriano Chiò
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Center, University of Torino, Torino, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | | | - Sandro Iannaccone
- Department of Clinical Neurosciences, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimiliano Copetti
- Biostatistics Unit, IRCCS-Ospedale Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Foggia, Italy
| | - Evelina Prudente
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neuroradiology and CERMAC, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Giancarlo Comi
- Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Andrea Falini
- Serena Onlus Foundation, NEuroMuscular Omnicenter, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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17
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Trojsi F, Caiazzo G, Corbo D, Piccirillo G, Cristillo V, Femiano C, Ferrantino T, Cirillo M, Monsurrò MR, Esposito F, Tedeschi G. Microstructural changes across different clinical milestones of disease in amyotrophic lateral sclerosis. PLoS One 2015; 10:e0119045. [PMID: 25793718 PMCID: PMC4368555 DOI: 10.1371/journal.pone.0119045] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 01/09/2015] [Indexed: 11/18/2022] Open
Abstract
Neurodegenerative process in amyotrophic lateral sclerosis (ALS) has been proven to involve several cortical and subcortical brain regions within and beyond motor areas. However, how ALS pathology spreads progressively during disease evolution is still unknown. In this cross-sectional study we investigated 54 ALS patients, divided into 3 subsets according to the clinical stage, and 18 age and sex-matched healthy controls, by using tract-based spatial statistics (TBSS) diffusion tensor imaging (DTI) and voxel-based morphometry (VBM) analyses. We aimed to identify white (WM) and gray matter (GM) patterns of disease distinctive of each clinical stage, corresponding to specific clinical milestones. ALS cases in stage 2A (i.e., at diagnosis) were characterized by GM and WM impairment of left motor and premotor cortices and brainstem at ponto-mesenchephalic junction. ALS patients in clinical stage 2B (with impairment of two functional regions) exhibited decreased fractional anisotropy (FA) (p<0.001, uncorrected) and increased mean (MD) and radial diffusivity (RD) (p<0.001, uncorrected) in the left cerebellar hemisphere and brainstem precerebellar nuclei, as well as in motor areas, while GM atrophy (p<0.001, uncorrected) was detected only in the left inferior frontal gyrus and right cuneus. Finally, ALS patients in stage 3 (with impairment of three functional regions) exhibited decreased FA and increased MD and RD (p<0.05, corrected) within WM underneath bilateral pre and postcentral gyri, corpus callosum midbody, long associative tracts and midbrain, while no significant clusters of GM atrophy were observed. Our findings reinforce the hypothesis that the neurodegenerative process propagates along the axonal pathways and develops beyond motor areas from early stages, involving progressively several frontotemporal regions and their afferents and efferents, while the detection of GM atrophy in earlier stages and its disappearance in later stages may be the result of reactive gliosis.
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Affiliation(s)
- Francesca Trojsi
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
- MRI Research Center SUN-FISM—Second University of Naples, 80138 Naples, Italy
| | - Giuseppina Caiazzo
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
- MRI Research Center SUN-FISM—Second University of Naples, 80138 Naples, Italy
| | - Daniele Corbo
- Department of Neuroscience, University of Parma, 43100 Parma, Italy
| | - Giovanni Piccirillo
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Viviana Cristillo
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Cinzia Femiano
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Teresa Ferrantino
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Mario Cirillo
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
- MRI Research Center SUN-FISM—Second University of Naples, 80138 Naples, Italy
| | - Maria Rosaria Monsurrò
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
- MRI Research Center SUN-FISM—Second University of Naples, 80138 Naples, Italy
| | - Fabrizio Esposito
- MRI Research Center SUN-FISM—Second University of Naples, 80138 Naples, Italy
- Department of Medicine and Surgery, University of Salerno, 84081 Baronissi (Salerno), Italy
| | - Gioacchino Tedeschi
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
- MRI Research Center SUN-FISM—Second University of Naples, 80138 Naples, Italy
- * E-mail:
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18
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Özkucur N, Quinn KP, Pang JC, Du C, Georgakoudi I, Miller E, Levin M, Kaplan DL. Membrane potential depolarization causes alterations in neuron arrangement and connectivity in cocultures. Brain Behav 2015; 5:24-38. [PMID: 25722947 PMCID: PMC4321392 DOI: 10.1002/brb3.295] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Revised: 09/23/2014] [Accepted: 09/29/2014] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The disruption of neuron arrangement is associated with several pathologies. In contrast to action potentials, the role of resting potential (Vmem) in regulating connectivity remains unknown. METHODS Neuron assemblies were quantified when their Vmem was depolarized using ivermectin (Ivm), a drug that opens chloride channels, for 24 h in cocultures with astrocytes. Cell aggregation was analyzed using automated cluster analysis methods. Neural connectivity was quantified based on the identification of isolated somas in phase-contrast images using image processing. Vmem was measured using voltage-sensitive dyes and whole-cell patch clamping. Immunocytochemistry and Western blotting were used to detect changes in the distribution and production of the proteins. RESULTS Data show that Vmem regulates cortical tissue shape and connectivity. Automated cluster analysis methods revealed that the degree of neural aggregation was significantly increased (0.26 clustering factor vs. 0.21 in controls, P ≤ 0.01). The number of beta-tubulin III positive neural projections was also significantly increased in the neural aggregates in cocultures with Ivm. Hyperpolarized neuron cells formed fewer connections (33% at 24 h, P ≤ 0.05) compared to control cells in 1-day cultures. Glia cell densities increased (33.3%, P ≤ 0.05) under depolarizing conditions. CONCLUSION Vmem can be a useful tool to probe neuronal cells, disease tissues models, and cortical tissue arrangements.
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Affiliation(s)
- Nurdan Özkucur
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155 ; Biology Department, Tufts University 200 Boston Avenue, Suite 4600, Medford, Massachusetts, 02155
| | - Kyle P Quinn
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155
| | - Jin C Pang
- Department of Electrical and Computer Engineering, Tufts University 161 College Avenue, Medford, Massachusetts, 02155
| | - Chuang Du
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155 ; Department of Neuroscience, Tufts University 136 Harrison Ave, Boston, Massachusetts
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155
| | - Eric Miller
- Department of Electrical and Computer Engineering, Tufts University 161 College Avenue, Medford, Massachusetts, 02155
| | - Michael Levin
- Biology Department, Tufts University 200 Boston Avenue, Suite 4600, Medford, Massachusetts, 02155
| | - David L Kaplan
- Department of Biomedical Engineering, Tufts University 4 Colby St., Medford, Massachusetts, 02155
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Side of limb-onset predicts laterality of gray matter loss in amyotrophic lateral sclerosis. BIOMED RESEARCH INTERNATIONAL 2014; 2014:473250. [PMID: 25093168 PMCID: PMC4100370 DOI: 10.1155/2014/473250] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2014] [Accepted: 06/03/2014] [Indexed: 11/17/2022]
Abstract
Conflicting findings have been reported regarding the lateralized brain abnormality in patients with amyotrophic lateral sclerosis (ALS). In this study, we aimed to investigate the probable lateralization of gray matter (GM) atrophy in ALS patients. We focused on the relationship between the asymmetry in decreased GM volume and the side of disease onset in patients with limb-onset. Structural imaging evaluation of normalized atrophy (SIENAX) and voxel-based morphometry (VBM) were used to assess differences in global and local brain regions in patients with heterogeneous body onset and subgroups with different side of limb-onset. We found global brain atrophy and GM losses in the frontal and parietal areas in each patient group as well as left predominant GM losses in the total cohort. The intriguing findings in subgroup analyses demonstrated that the motor cortex in the contralateral hemisphere of the initially involved limb was most affected. We also found that regional brain atrophy was related to disease progression rate. Our observations suggested that side of limb-onset can predict laterality of GM loss in ALS patients and disease progression correlates with the extent of cortical abnormality.
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20
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Trojsi F, Esposito F, de Stefano M, Buonanno D, Conforti FL, Corbo D, Piccirillo G, Cirillo M, Monsurrò MR, Montella P, Tedeschi G. Functional overlap and divergence between ALS and bvFTD. Neurobiol Aging 2014; 36:413-23. [PMID: 25063233 DOI: 10.1016/j.neurobiolaging.2014.06.025] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Revised: 06/21/2014] [Accepted: 06/24/2014] [Indexed: 10/25/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) and behavioral variant frontotemporal dementia (bvFTD) lie on a clinical, pathologic, and genetic continuum. Neuroimaging techniques have proven to be potentially useful to unravel the shared features of these syndromes. Using resting-state functional magnetic resonance imaging (RS-fMRI), we investigated functional connectivity of brain networks in 15 ALS and 15 bvFTD patients in early stages of disease and 15 healthy controls, looking expressly for connectivity pattern divergence or overlap between the 2 disorders. Compared with controls, we found decreased RS-fMRI signals within sensorimotor, right frontoparietal, salience, and executive networks in both patient groups. Within the default mode network (DMN), divergent connectivity patterns were observed, with RS-fMRI signals in the posterior cingulate cortex enhanced in bvFTD patients and suppressed in ALS patients. Our findings confirm that ALS and bvFTD not only broadly share common RS-fMRI connectivity patterns, probably representing different phenotypical expressions of the same neurodegenerative process, but also differ in the DMN, probably reflecting a different stage of neurodegeneration.
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Affiliation(s)
- Francesca Trojsi
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy; Magnetic Resonance Imaging Research Center of the Second University of Naples-Italian Foundation for Multiple Sclerosis, Second University of Naples, Naples, Italy
| | - Fabrizio Esposito
- Magnetic Resonance Imaging Research Center of the Second University of Naples-Italian Foundation for Multiple Sclerosis, Second University of Naples, Naples, Italy; Department of Medicine and Surgery, University of Salerno, Baronissi, Salerno, Italy
| | - Manuela de Stefano
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Daniela Buonanno
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Francesca L Conforti
- Institute of Neurological Sciences, National Research Council, Mangone, Cosenza, Italy
| | - Daniele Corbo
- Magnetic Resonance Imaging Research Center of the Second University of Naples-Italian Foundation for Multiple Sclerosis, Second University of Naples, Naples, Italy; Neurological Institute for Diagnosis and Care "Hermitage Capodimonte", Naples, Italy
| | - Giovanni Piccirillo
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy; Magnetic Resonance Imaging Research Center of the Second University of Naples-Italian Foundation for Multiple Sclerosis, Second University of Naples, Naples, Italy
| | - Mario Cirillo
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy; Magnetic Resonance Imaging Research Center of the Second University of Naples-Italian Foundation for Multiple Sclerosis, Second University of Naples, Naples, Italy
| | - Maria Rosaria Monsurrò
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy; Magnetic Resonance Imaging Research Center of the Second University of Naples-Italian Foundation for Multiple Sclerosis, Second University of Naples, Naples, Italy
| | - Patrizia Montella
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy; Magnetic Resonance Imaging Research Center of the Second University of Naples-Italian Foundation for Multiple Sclerosis, Second University of Naples, Naples, Italy
| | - Gioacchino Tedeschi
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy; Magnetic Resonance Imaging Research Center of the Second University of Naples-Italian Foundation for Multiple Sclerosis, Second University of Naples, Naples, Italy.
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21
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Diffusion tensor MRI changes in gray structures of the frontal-subcortical circuits in amyotrophic lateral sclerosis. Neurol Sci 2014; 35:911-8. [DOI: 10.1007/s10072-013-1626-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Accepted: 12/28/2013] [Indexed: 10/25/2022]
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