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Kippenhan JS, Gregory MD, Nash T, Kohn P, Mervis CB, Eisenberg DP, Garvey MH, Roe K, Morris CA, Kolachana B, Pani AM, Sorcher L, Berman KF. Dorsal visual stream and LIMK1: hemideletion, haplotype, and enduring effects in children with Williams syndrome. J Neurodev Disord 2023; 15:29. [PMID: 37633900 PMCID: PMC10464045 DOI: 10.1186/s11689-023-09493-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/04/2023] [Indexed: 08/28/2023] Open
Abstract
BACKGROUND Williams syndrome (WS), a rare neurodevelopmental disorder caused by hemizygous deletion of ~ 25 genes from chromosomal band 7q11.23, affords an exceptional opportunity to study associations between a well-delineated genetic abnormality and a well-characterized neurobehavioral profile. Clinically, WS is typified by increased social drive (often termed "hypersociability") and severe visuospatial construction deficits. Previous studies have linked visuospatial problems in WS with alterations in the dorsal visual processing stream. We investigated the impacts of hemideletion and haplotype variation of LIMK1, a gene hemideleted in WS and linked to neuronal maturation and migration, on the structure and function of the dorsal stream, specifically the intraparietal sulcus (IPS), a region known to be altered in adults with WS. METHODS We tested for IPS structural and functional changes using longitudinal MRI in a developing cohort of children with WS (76 visits from 33 participants, compared to 280 visits from 94 typically developing age- and sex-matched participants) over the age range of 5-22. We also performed MRI studies of 12 individuals with rare, shorter hemideletions at 7q11.23, all of which included LIMK1. Finally, we tested for effects of LIMK1 variation on IPS structure and imputed LIMK1 expression in two independent cohorts of healthy individuals from the general population. RESULTS IPS structural (p < 10-4 FDR corrected) and functional (p < .05 FDR corrected) anomalies previously reported in adults were confirmed in children with WS, and, consistent with an enduring genetic mechanism, were stable from early childhood into adulthood. In the short hemideletion cohort, IPS deficits similar to those in WS were found, although effect sizes were smaller than those found in WS for both structural and functional findings. Finally, in each of the two general population cohorts stratified by LIMK1 haplotype, IPS gray matter volume (pdiscovery < 0.05 SVC, preplication = 0.0015) and imputed LIMK1 expression (pdiscovery = 10-15, preplication = 10-23) varied according to LIMK1 haplotype. CONCLUSIONS This work offers insight into neurobiological and genetic mechanisms responsible for the WS phenotype and also more generally provides a striking example of the mechanisms by which genetic variation, acting by means of molecular effects on a neural intermediary, can influence human cognition and, in some cases, lead to neurocognitive disorders.
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Affiliation(s)
- J Shane Kippenhan
- Section on Integrative Neuroimaging, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA.
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA.
| | - Michael D Gregory
- Section on Integrative Neuroimaging, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Tiffany Nash
- Section on Integrative Neuroimaging, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Philip Kohn
- Section on Integrative Neuroimaging, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Carolyn B Mervis
- Neurodevelopmental Sciences Laboratory, Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, 40202, USA
| | - Daniel P Eisenberg
- Section on Integrative Neuroimaging, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Madeline H Garvey
- Section on Integrative Neuroimaging, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Katherine Roe
- Section on Integrative Neuroimaging, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Colleen A Morris
- Department of Pediatrics, Kirk Kerkorian School of Medicine at UNLV, Las Vegas, NV, 89102, USA
| | - Bhaskar Kolachana
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Ariel M Pani
- Department of Biology, University of Virginia, Charlottesville, VA, 22903, USA
| | - Leah Sorcher
- Section on Integrative Neuroimaging, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Karen F Berman
- Section on Integrative Neuroimaging, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA.
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA.
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Long Z, Irish M, Hodges JR, Piguet O, Burrell JR. Distinct disease trajectories in frontotemporal dementia-motor neuron disease and behavioural variant frontotemporal dementia: A longitudinal study. Eur J Neurol 2022; 29:3158-3169. [PMID: 35921225 PMCID: PMC9804178 DOI: 10.1111/ene.15518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 07/29/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND AND PURPOSE The heterogeneity of cognitive and behavioural disturbances in frontotemporal dementia-motor neuron disease (FTD-MND), and clinical differences between FTD-MND and FTD subtypes, have been illustrated cross-sectionally. This study aimed to examine the FTD-MND disease trajectory by comparing clinical features of FTD-MND and the behavioural variant FTD (bvFTD) longitudinally. METHODS Neuropsychological and disease severity assessments were conducted in a cohort of FTD-MND (baseline, n = 42; follow-up, n = 18) and bvFTD (baseline, n = 116; follow-up, n = 111) using a longitudinal, case-control design. Age-, sex-, and education-matched controls (n = 52) were recruited. Predictors of clinical progression were analyzed. Voxel-based morphometry analysis was undertaken to investigate the progression of brain atrophy. RESULTS At baseline, FTD-MND was characterized by semantic and general cognition deficits, whereas bvFTD had greater behavioural disturbances. General cognition and language deteriorated in FTD-MND when followed longitudinally. Language deficits at baseline predicted cognitive deterioration and disease progression and correlated with progressive atrophy of language regions. Further deterioration in behaviour was evident in bvFTD over time. The rate of disease progression (i.e., general cognition, semantic association, and disease severity) was significantly faster in FTD-MND than in bvFTD. CONCLUSIONS FTD-MND and bvFTD appear to have distinct disease trajectories, with more rapid progression in FTD-MND. Language impairments should be closely monitored in FTD-MND as potential predictors of cognitive deterioration and disease progression.
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Affiliation(s)
- Zhe Long
- Department of NeurologyThe Second Xiangya Hospital of Central South UniversityChangshaChina,Faculty of Medicine and HealthUniversity of SydneySydneyNew South WalesAustralia,Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Muireann Irish
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia,School of PsychologyUniversity of SydneySydneyNew South WalesAustralia,Australian Research Council Centre of Excellence in Cognition and Its DisordersSydneyNew South WalesAustralia
| | - John R. Hodges
- Faculty of Medicine and HealthUniversity of SydneySydneyNew South WalesAustralia,Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia,Australian Research Council Centre of Excellence in Cognition and Its DisordersSydneyNew South WalesAustralia
| | - Olivier Piguet
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia,School of PsychologyUniversity of SydneySydneyNew South WalesAustralia,Australian Research Council Centre of Excellence in Cognition and Its DisordersSydneyNew South WalesAustralia
| | - James R. Burrell
- Faculty of Medicine and HealthUniversity of SydneySydneyNew South WalesAustralia,Australian Research Council Centre of Excellence in Cognition and Its DisordersSydneyNew South WalesAustralia,Concord Medical SchoolUniversity of SydneySydneyNew South WalesAustralia,Faculty of Health SciencesUniversity of SydneySydneyNew South WalesAustralia
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Venkatesh A, Stark SM, Stark CEL, Bennett IJ. Age- and memory- related differences in hippocampal gray matter integrity are better captured by NODDI compared to single-tensor diffusion imaging. Neurobiol Aging 2020; 96:12-21. [PMID: 32905951 PMCID: PMC7722017 DOI: 10.1016/j.neurobiolaging.2020.08.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 07/24/2020] [Accepted: 08/03/2020] [Indexed: 12/30/2022]
Abstract
Single-tensor diffusion imaging (DTI) has traditionally been used to assess integrity of white matter. For example, we previously showed that integrity of limbic white matter tracts declines in healthy aging and relates to episodic memory performance. However, multi-compartment diffusion models may be more informative about microstructural properties of gray matter. The current study examined hippocampal gray matter integrity using both single-tensor and multi-compartment (neurite orientation dispersion and density imaging, NODDI) diffusion imaging. Younger (20-38 years) and older (59-84 years) adults also completed the Mnemonic Similarity Task to measure mnemonic discrimination performance. Results revealed age-related declines in both single-tensor (lower fractional anisotropy, higher mean diffusivity) and multi-compartment (higher restricted, hindered and free diffusion) measures of hippocampal gray matter integrity. As expected, NODDI measures (hindered and free diffusion) captured more age-related variance than DTI measures. Moreover, mnemonic discrimination of highly similar lure items in memory was related to hippocampal gray matter integrity in younger but not older adults. These findings support the notion that age-related differences in gray matter integrity are better captured by multi-compartment versus single-tensor diffusion models and show that the relationship between mnemonic discrimination and hippocampal gray matter integrity is moderated by age.
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Affiliation(s)
- Anu Venkatesh
- Department of Neuroscience, University of California Riverside, Riverside, CA, USA.
| | - Shauna M Stark
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA
| | - Craig E L Stark
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA
| | - Ilana J Bennett
- Department of Neuroscience, University of California Riverside, Riverside, CA, USA; Department of Psychology, University of California Riverside, Riverside, CA, USA
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Nevler N, Ash S, McMillan C, Elman L, McCluskey L, Irwin DJ, Cho S, Liberman M, Grossman M. Automated analysis of natural speech in amyotrophic lateral sclerosis spectrum disorders. Neurology 2020; 95:e1629-e1639. [PMID: 32675077 DOI: 10.1212/wnl.0000000000010366] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 04/06/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We implemented automated methods to analyze speech and evaluate the hypothesis that cognitive and motor factors impair prosody in partially distinct ways in patients with amyotrophic lateral sclerosis (ALS). METHODS We recruited 213 participants, including 67 with ALS (44 with motor ALS, 23 with ALS and frontotemporal degeneration [FTD]), 33 healthy controls, and neurodegenerative reference groups with behavioral variant FTD (n = 90) and nonfluent/agrammatic primary progressive aphasia (n = 23). Digitized, semistructured speech samples obtained from picture descriptions were automatically segmented with a Speech Activity Detector; continuous speech segments were pitch-tracked; and duration measures for speech and silent pause segments were extracted. Acoustic measures were calculated, including fundamental frequency (f0) range, mean speech and pause segment durations, total speech duration, and pause rate (pause count per minute of speech). Group comparisons related performance on acoustic measures to clinical scales of cognitive and motor impairments and explored MRI cortical thinning in ALS and ALS-FTD. RESULTS The f0 range was significantly impaired in ALS spectrum disorders and was related to bulbar motor disease, and regression analyses related this to cortical thickness in primary motor cortex and perisylvian regions. Impaired speech and pause duration measures were related to the degree of cognitive impairment in ALS spectrum disorders, and regressions related duration measures to bilateral frontal opercula and left anterior insula. CONCLUSION Automated analyses of acoustic speech properties dissociate motor and cognitive components of speech deficits in ALS spectrum disorders.
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Affiliation(s)
- Naomi Nevler
- From the Penn Frontotemporal Degeneration Center (N.N., S.A., C.M., D.J.I., M.G.), Department of Neurology (N.N., S.A., C.M., L.E., L.M., D.J.I., M.G.), and Linguistic Data Consortium (S.C., M.L.), Department of Linguistics, University of Pennsylvania, Philadelphia.
| | - Sharon Ash
- From the Penn Frontotemporal Degeneration Center (N.N., S.A., C.M., D.J.I., M.G.), Department of Neurology (N.N., S.A., C.M., L.E., L.M., D.J.I., M.G.), and Linguistic Data Consortium (S.C., M.L.), Department of Linguistics, University of Pennsylvania, Philadelphia
| | - Corey McMillan
- From the Penn Frontotemporal Degeneration Center (N.N., S.A., C.M., D.J.I., M.G.), Department of Neurology (N.N., S.A., C.M., L.E., L.M., D.J.I., M.G.), and Linguistic Data Consortium (S.C., M.L.), Department of Linguistics, University of Pennsylvania, Philadelphia
| | - Lauren Elman
- From the Penn Frontotemporal Degeneration Center (N.N., S.A., C.M., D.J.I., M.G.), Department of Neurology (N.N., S.A., C.M., L.E., L.M., D.J.I., M.G.), and Linguistic Data Consortium (S.C., M.L.), Department of Linguistics, University of Pennsylvania, Philadelphia
| | - Leo McCluskey
- From the Penn Frontotemporal Degeneration Center (N.N., S.A., C.M., D.J.I., M.G.), Department of Neurology (N.N., S.A., C.M., L.E., L.M., D.J.I., M.G.), and Linguistic Data Consortium (S.C., M.L.), Department of Linguistics, University of Pennsylvania, Philadelphia
| | - David J Irwin
- From the Penn Frontotemporal Degeneration Center (N.N., S.A., C.M., D.J.I., M.G.), Department of Neurology (N.N., S.A., C.M., L.E., L.M., D.J.I., M.G.), and Linguistic Data Consortium (S.C., M.L.), Department of Linguistics, University of Pennsylvania, Philadelphia
| | - Sunghye Cho
- From the Penn Frontotemporal Degeneration Center (N.N., S.A., C.M., D.J.I., M.G.), Department of Neurology (N.N., S.A., C.M., L.E., L.M., D.J.I., M.G.), and Linguistic Data Consortium (S.C., M.L.), Department of Linguistics, University of Pennsylvania, Philadelphia
| | - Mark Liberman
- From the Penn Frontotemporal Degeneration Center (N.N., S.A., C.M., D.J.I., M.G.), Department of Neurology (N.N., S.A., C.M., L.E., L.M., D.J.I., M.G.), and Linguistic Data Consortium (S.C., M.L.), Department of Linguistics, University of Pennsylvania, Philadelphia
| | - Murray Grossman
- From the Penn Frontotemporal Degeneration Center (N.N., S.A., C.M., D.J.I., M.G.), Department of Neurology (N.N., S.A., C.M., L.E., L.M., D.J.I., M.G.), and Linguistic Data Consortium (S.C., M.L.), Department of Linguistics, University of Pennsylvania, Philadelphia.
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Chipika RH, Finegan E, Li Hi Shing S, Hardiman O, Bede P. Tracking a Fast-Moving Disease: Longitudinal Markers, Monitoring, and Clinical Trial Endpoints in ALS. Front Neurol 2019; 10:229. [PMID: 30941088 PMCID: PMC6433752 DOI: 10.3389/fneur.2019.00229] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Accepted: 02/22/2019] [Indexed: 12/13/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) encompasses a heterogeneous group of phenotypes with different progression rates, varying degree of extra-motor involvement and divergent progression patterns. The natural history of ALS is increasingly evaluated by large, multi-time point longitudinal studies, many of which now incorporate presymptomatic and post-mortem assessments. These studies not only have the potential to characterize patterns of anatomical propagation, molecular mechanisms of disease spread, but also to identify pragmatic monitoring markers. Sensitive markers of progressive neurodegenerative change are indispensable for clinical trials and individualized patient care. Biofluid markers, neuroimaging indices, electrophysiological markers, rating scales, questionnaires, and other disease-specific instruments have divergent sensitivity profiles. The discussion of candidate monitoring markers in ALS has a dual academic and clinical relevance, and is particularly timely given the increasing number of pharmacological trials. The objective of this paper is to provide a comprehensive and critical review of longitudinal studies in ALS, focusing on the sensitivity profile of established and emerging monitoring markers.
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Affiliation(s)
| | - Eoin Finegan
- 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
| | - 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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Rocha AJD, Nunes RH, Maia Jr. ACM. Dementia in motor neuron disease: reviewing the role of MRI in diagnosis. Dement Neuropsychol 2015. [PMID: 29213986 PMCID: PMC5619319 DOI: 10.1590/1980-57642015dn94000369] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The superimposed clinical features of motor neuron disease (MND) and
frontotemporal dementia (FTD) comprise a distinct, yet not fully understood,
neurological overlap syndrome whose clinicopathological basis has recently been
reviewed. Here, we present a review of the clinical, pathological and genetic
basis of MND-FTD and the role of MRI in its diagnosis. In doing so, we discuss
current techniques that depict the involvement of the selective corticospinal
tract (CST) and temporal lobe in MND-FTD.
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7
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Patterns of spontaneous brain activity in amyotrophic lateral sclerosis: a resting-state FMRI study. PLoS One 2012; 7:e45470. [PMID: 23029031 PMCID: PMC3447931 DOI: 10.1371/journal.pone.0045470] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2012] [Accepted: 08/22/2012] [Indexed: 02/05/2023] Open
Abstract
By detecting spontaneous low-frequency fluctuations (LFF) of blood oxygen level–dependent (BOLD) signals, resting-state functional magnetic resonance imaging (rfMRI) measurements are believed to reflect spontaneous cerebral neural activity. Previous fMRI studies were focused on the examination of motor-related areas and little is known about the functional changes in the extra-motor areas in amyotrophic lateral sclerosis (ALS) patients. The aim of this study is to investigate functional cerebral abnormalities in ALS patients on a whole brain scale. Twenty ALS patients and twenty age- and sex-matched healthy volunteers were enrolled. Voxel-based analysis was used to characterize the alteration of amplitude of low frequency fluctuation (ALFF). Compared with the controls, the ALS patients showed significantly decreased ALFF in the visual cortex, fusiform gyri and right postcentral gyrus; and significantly increased ALFF in the left medial frontal gyrus, and in right inferior frontal areas after grey matter (GM) correction. Taking GM volume as covariates, the ALFF results were approximately consistent with those without GM correction. In addition, ALFF value in left medial frontal gyrus was negatively correlated with the rate of disease progression and duration. Decreased functional activity observed in the present study indicates the underlying deficits of the sensory processing system in ALS. Increased functional activity points to a compensatory mechanism. Our findings suggest that ALS is a multisystem disease other than merely motor dysfunction and provide evidence that alterations of ALFF in the frontal areas may be a special marker of ALS.
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Microglial activation and TDP-43 pathology correlate with executive dysfunction in amyotrophic lateral sclerosis. Acta Neuropathol 2012; 123:395-407. [PMID: 22210083 DOI: 10.1007/s00401-011-0932-x] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2011] [Revised: 12/21/2011] [Accepted: 12/22/2011] [Indexed: 12/27/2022]
Abstract
While cognitive deficits are increasingly recognized as common symptoms in amyotrophic lateral sclerosis (ALS), the underlying histopathologic basis for this is not known, nor has the relevance of neuroinflammatory mechanisms and microglial activation to cognitive impairment (CI) in ALS been systematically analyzed. Staining for neurodegenerative disease pathology, TDP-43, and microglial activation markers (CD68, Iba1) was performed in 102 autopsy cases of ALS, and neuropathology data were related to clinical and neuropsychological measures. ALS with dementia (ALS-D) and ALS with impaired executive function (ALS-Ex) patients showed significant microglial activation in middle frontal and superior or middle temporal (SMT) gyrus regions, as well as significant neuronal loss and TDP-43 pathology in these regions. Microglial activation and TDP-43 pathology in middle frontal and superior or middle temporal regions were highly correlated with measures of executive impairment, but not with the MMSE. In contrast, only one ALS-D patient showed moderate Alzheimer's disease (AD) pathology. Tau and Aβ pathology increased with age. A lower MMSE score correlated with tau pathology in hippocampus and SMT gyrus, and with Aβ pathology in limbic and most cortical regions. Tau and Aβ pathology did not correlate with executive measures. We conclude that microglial activation and TDP-43 pathology in frontotemporal areas are determinants of FTLD spectrum dementia in ALS and correlate with neuropsychological measures of executive dysfunction. In contrast, AD pathology in ALS is primarily related to increasing age and associated with a poorer performance on the MMSE.
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Rohrer JD. Structural brain imaging in frontotemporal dementia. Biochim Biophys Acta Mol Basis Dis 2011; 1822:325-32. [PMID: 21839829 DOI: 10.1016/j.bbadis.2011.07.014] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2011] [Revised: 07/24/2011] [Accepted: 07/25/2011] [Indexed: 12/12/2022]
Abstract
Frontotemporal dementia (FTD) is the second commonest young-onset neurodegenerative dementia. The canonical clinical syndromes are a behavioural variant (bvFTD) and two language variants (progressive nonfluent aphasia, PNFA, and semantic dementia, SD) although there is overlap with motor neurone disease and the atypical parkinsonian disorders corticobasal syndrome (CBS) and progressive supranuclear palsy syndrome (PSPS). Characteristic patterns of atrophy or hypometabolism are described in each of the variants but in reality imaging studies are rather heterogeneous. This review attempts to address four key questions in the neuroimaging of FTD: 1) what are the early imaging features of the different FTD syndromes (and how do these change as the disease progresses); 2) what do studies of presymptomatic genetic cases of FTD tell us about the very early stages of the disease; 3) can neuroimaging help to differentiate the different FTD syndromes; and 4) can neuroimaging help to differentiate FTD from other neurodegenerative diseases? This article is part of a Special Issue entitled: Imaging Brain Aging and Neurodegenerative disease.
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Affiliation(s)
- Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK.
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Ichikawa H, Ohno H, Murakami H, Ohnaka Y, Kawamura M. Writing error may be a predictive sign for impending brain atrophy progression in amyotrophic lateral sclerosis: a preliminary study using X-ray computed tomography. Eur Neurol 2011; 65:346-51. [PMID: 21606650 DOI: 10.1159/000328216] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2010] [Accepted: 04/04/2011] [Indexed: 12/14/2022]
Abstract
AIM To investigate whether writing errors are predictive of longitudinal brain atrophy progression in patients with amyotrophic lateral sclerosis (ALS). METHODS The frequency of writing errors in 6 ALS patients without dementia was compared with longitudinal changes in lateral ventricular areas of the bilateral anterior and inferior horns on X-ray computed tomography scans. The increase in area per month for the anterior and inferior horns was used as a measure of longitudinal brain atrophy progression, and was calculated as: (area on the initial scan - area on the follow-up scan)/scan interval (month). RESULTS The longitudinal rate of increase in the area of the anterior horns showed significant associations with the rates of total writing errors (r = 0.886, p = 0.0152), kana errors (r = 0.887, p = 0.0148) and kana omission (r = 0.856, p = 0.0268), whereas that for the inferior horns size showed no significant association with any writing errors. CONCLUSION The increased area of the anterior horns indicates frontal-lobar atrophy, and writing errors may be a predictive sign for impending brain atrophy progression in the frontal lobes, which reflects the development of anterior-type dementia.
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Affiliation(s)
- Hiroo Ichikawa
- Department of Neurology, Brain Nerve Center, Showa University Fujigaoka Hospital, Aoba-ku, Yokohama, Japan.
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Agosta F, Chiò A, Cosottini M, De Stefano N, Falini A, Mascalchi M, Rocca MA, Silani V, Tedeschi G, Filippi M. The present and the future of neuroimaging in amyotrophic lateral sclerosis. AJNR Am J Neuroradiol 2010; 31:1769-77. [PMID: 20360339 DOI: 10.3174/ajnr.a2043] [Citation(s) in RCA: 101] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
In patients with ALS, conventional MR imaging is frequently noninformative, and its use has been restricted to excluding other conditions that can mimic ALS. Conversely, the extensive application of modern MR imaging-based techniques to the study of ALS has undoubtedly improved our understanding of disease pathophysiology and is likely to have a role in the identification of potential biomarkers of disease progression. This review summarizes how new MR imaging technology is changing dramatically our understanding of the factors associated with ALS evolution and highlights the reasons why it should be used more extensively in studies of disease progression, including clinical trials.
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Affiliation(s)
- F Agosta
- Institute of Experimental Neurology, University Hospital San Raffaele, Milan, Italy
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Filippi M, Agosta F, Abrahams S, Fazekas F, Grosskreutz J, Kalra S, Kassubek J, Silani V, Turner MR, Masdeu JC. EFNS guidelines on the use of neuroimaging in the management of motor neuron diseases. Eur J Neurol 2010; 17:526-e20. [PMID: 20136647 DOI: 10.1111/j.1468-1331.2010.02951.x] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND AND PURPOSE These European Federation of Neurological Societies guidelines on neuroimaging of motor neuron diseases (MNDs) are designed to provide practical help for the neurologists to make appropriate use of neuroimaging techniques in patients with MNDs, which ranges from diagnostic and monitoring aspects to the in vivo study of the pathobiology of such conditions. METHODS Literature searches were performed before expert members of the Task Force wrote proposal. Then, consensus was reached by circulating drafts of the manuscript to the Task Force members and by discussion of the classification of evidence and recommendations. RESULTS AND CONCLUSIONS The use of conventional MRI in patients suspected of having a MND is yet restricted to exclude other causes of signs and symptoms of MN pathology [class IV, level good clinical practice point (GCPP)]. Although the detection of corticospinal tract hyperintensities on conventional MRI and a T2-hypointense rim in the pre-central gyrus can support a pre-existing suspicion of MND, the specific search of these abnormalities for the purpose of making a firm diagnosis of MND is not recommended (class IV, level GCPP). At present, advanced neuroimaging techniques, including diffusion tensor imaging and proton magnetic resonance spectroscopic imaging, do not have a role in the diagnosis or routine monitoring of MNDs yet (class IV, level GCPP). However, it is strongly advisable to incorporate measures derived from these techniques into new clinical trials as exploratory outcomes to gain additional insights into disease pathophysiology and into the value of these techniques in the (longitudinal) assessment of MNDs (class IV, level GCPP).
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Affiliation(s)
- M Filippi
- Neuroimaging Research Unit, Division of Neuroscience, Scientific Institute and University Hospital San Raffaele, Institute of Experimental Neurology, Milan, Italy.
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