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Yoshida K, Adachi T, Suzuki Y, Sakuwa M, Fukuda H, Hasegawa M, Adachi Y, Miura H, Hanajima R. Corticobasal degeneration with visual hallucination as an initial symptom: A case report. Neuropathology 2024; 44:298-303. [PMID: 38291581 DOI: 10.1111/neup.12963] [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: 10/16/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 02/01/2024]
Abstract
Although the initial symptoms of corticobasal degeneration (CBD) are varied, psychiatric symptoms are uncommon. Here, we report the autopsy findings of a patient with early CBD who presented with hallucinations. A 68-year-old man developed memory loss and visions of bears and insects. Because of slow vertical eye movement, postural instability, and levodopa-unresponsive parkinsonism, the patient initially was clinically diagnosed with progressive supranuclear palsy. He died of a urinary tract infection 11 months after the onset of the disease. Histopathological examination revealed neuronal loss and gliosis, which were severe in the substantia nigra and moderate in the globus pallidus and subthalamic nucleus. Astrocytic plaques were scattered throughout the amygdala and premotor cortex. The superficial cortical layers lacked ballooned neurons and spongiosis, and tau deposition was greater in glia than in neurons. The amygdala contained a moderate number of argyrophilic grains and pretangles. Western blot analysis showed a 37-kDa band among the low-molecular-weight tau fragments. Because the CBD pathology was mild, we attributed the patient's visual hallucinations to the marked argyrophilic grain pathology. CBD can occur with psychiatric symptoms, including visual hallucinations, and argyrophilic grain pathology may be associated with psychiatric symptoms.
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Affiliation(s)
- Kentaro Yoshida
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
- Department of Neurology, Matsue Red Cross Hospital, Matsue, Japan
| | - Tadashi Adachi
- Division of Neuropathology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Yuki Suzuki
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Mayuko Sakuwa
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Hiroki Fukuda
- Department of Neurology, Matsue Red Cross Hospital, Matsue, Japan
| | - Masato Hasegawa
- Department of Brain and Neurosciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Yoshiki Adachi
- Department of Neurology, National Hospital Organization Matsue Medical Center, Matsue, Japan
| | - Hiroshi Miura
- Department of Pathology, Matsue Red Cross Hospital, Matsue, Japan
| | - Ritsuko Hanajima
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
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Singh-Reilly N, Botha H, Duffy JR, Clark HM, Utianski RL, Machulda MM, Graff-Radford J, Schwarz CG, Petersen RC, Lowe VJ, Jack CR, Josephs KA, Whitwell JL. Speech-language within and between network disruptions in primary progressive aphasia variants. Neuroimage Clin 2024; 43:103639. [PMID: 38991435 PMCID: PMC11296005 DOI: 10.1016/j.nicl.2024.103639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 05/20/2024] [Accepted: 06/30/2024] [Indexed: 07/13/2024]
Abstract
Primary progressive aphasia (PPA) variants present with distinct disruptions in speech-language functions with little known about the interplay between affected and spared regions within the speech-language network and their interaction with other functional networks. The Neurodegenerative Research Group, Mayo Clinic, recruited 123 patients with PPA (55 logopenic (lvPPA), 44 non-fluent (nfvPPA) and 24 semantic (svPPA)) who were matched to 60 healthy controls. We investigated functional connectivity disruptions between regions within the left-speech-language network (Broca, Wernicke, anterior middle temporal gyrus (aMTG), supplementary motor area (SMA), planum temporale (PT) and parietal operculum (PO)), and disruptions to other networks (visual association, dorsal-attention, frontoparietal and default mode networks (DMN)). Within the speech-language network, multivariate linear regression models showed reduced aMTG-Broca connectivity in all variants, with lvPPA and nfvPPA findings remaining significant after Bonferroni correction. Additional loss in Wernicke-Broca connectivity in nfvPPA, Wernicke-PT connectivity in lvPPA and greater aMTG-PT connectivity in svPPA were also noted. Between-network connectivity findings in all variants showed reduced aMTG-DMN and increased aMTG-dorsal-attention connectivity, with additional disruptions between aMTG-visual association in both lvPPA and svPPA, aMTG-frontoparietal in lvPPA, and Wernicke-DMN breakdown in svPPA. These findings suggest that aMTG connectivity breakdown is a shared feature in all PPA variants, with lvPPA showing more extensive connectivity disruptions with other networks.
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Affiliation(s)
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Joseph R Duffy
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Mary M Machulda
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
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Garcia-Cordero I, Anastassiadis C, Khoja A, Morales-Rivero A, Thapa S, Vasilevskaya A, Davenport C, Sumra V, Couto B, Multani N, Taghdiri F, Anor C, Misquitta K, Vandevrede L, Heuer H, Tang-Wai D, Dickerson B, Pantelyat A, Litvan I, Boeve B, Rojas JC, Ljubenkov P, Huey E, Fox S, Kovacs GG, Boxer A, Lang A, Tartaglia MC. Evaluating the Effect of Alzheimer's Disease-Related Biomarker Change in Corticobasal Syndrome and Progressive Supranuclear Palsy. Ann Neurol 2024; 96:99-109. [PMID: 38578117 PMCID: PMC11249787 DOI: 10.1002/ana.26930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/26/2024] [Accepted: 03/11/2024] [Indexed: 04/06/2024]
Abstract
OBJECTIVES To evaluate the effect of Alzheimer's disease (AD) -related biomarker change on clinical features, brain atrophy and functional connectivity of patients with corticobasal syndrome (CBS) and progressive supranuclear palsy (PSP). METHODS Data from patients with a clinical diagnosis of CBS, PSP, and AD and healthy controls were obtained from the 4-R-Tauopathy Neuroimaging Initiative 1 and 2, the Alzheimer's Disease Neuroimaging Initiative, and a local cohort from the Toronto Western Hospital. Patients with CBS and PSP were divided into AD-positive (CBS/PSP-AD) and AD-negative (CBS/PSP-noAD) groups based on fluid biomarkers and amyloid PET scans. Cognitive, motor, and depression scores; AD fluid biomarkers (cerebrospinal p-tau, t-tau, and amyloid-beta, and plasma ptau-217); and neuroimaging data (amyloid PET, MRI and fMRI) were collected. Clinical features, whole-brain gray matter volume and functional networks connectivity were compared across groups. RESULTS Data were analyzed from 87 CBS/PSP-noAD and 23 CBS/PSP-AD, 18 AD, and 30 healthy controls. CBS/PSP-noAD showed worse performance in comparison to CBS/PSP-AD in the PSPRS [mean(SD): 34.8(15.8) vs 23.3(11.6)] and the UPDRS scores [mean(SD): 34.2(17.0) vs 21.8(13.3)]. CBS/PSP-AD demonstrated atrophy in AD signature areas and brainstem, while CBS/PSP-noAD patients displayed atrophy in frontal and temporal areas, globus pallidus, and brainstem compared to healthy controls. The default mode network showed greatest disconnection in CBS/PSP-AD compared with CBS/PSP-no AD and controls. The thalamic network connectivity was most affected in CBS/PSP-noAD. INTERPRETATION AD biomarker positivity may modulate the clinical presentation of CBS/PSP, with evidence of distinctive structural and functional brain changes associated with the AD pathology/co-pathology. ANN NEUROL 2024;96:99-109.
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Affiliation(s)
- Indira Garcia-Cordero
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Chloe Anastassiadis
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Abeer Khoja
- University Health Network Memory Clinic, Toronto, Ontario, Canada
- Neurology division, Medical Department, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Alonso Morales-Rivero
- University Health Network Memory Clinic, Toronto, Ontario, Canada
- ABC Medical Center, Mexico City, Mexico
| | - Simrika Thapa
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Anna Vasilevskaya
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Carly Davenport
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Vishaal Sumra
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Blas Couto
- Rossy PSP Program, University Health Network and the University of Toronto, Toronto, Ontario, Canada
- The Edmond J. Safra Program in Parkinson’s Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto, Ontario, Canada
- Institute of Cognitive and Translational Neuroscience (INCyT-INECO-CONICET), Favaloro University Hospital, Buenos Aires, Argentina
| | - Namita Multani
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Foad Taghdiri
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Cassandra Anor
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Karen Misquitta
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Lawren Vandevrede
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, California, USA
| | - Hilary Heuer
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, California, USA
| | - David Tang-Wai
- Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Bradford Dickerson
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | | | - Irene Litvan
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Bradley Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Julio C. Rojas
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, California, USA
| | - Peter Ljubenkov
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, California, USA
| | - Edward Huey
- Department of Psychiatry and Human Behavior, Brown University, Providence, Rhode Island, USA
| | - Susan Fox
- Rossy PSP Program, University Health Network and the University of Toronto, Toronto, Ontario, Canada
- The Edmond J. Safra Program in Parkinson’s Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto, Ontario, Canada
| | - Gabor G. Kovacs
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Rossy PSP Program, University Health Network and the University of Toronto, Toronto, Ontario, Canada
- The Edmond J. Safra Program in Parkinson’s Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto, Ontario, Canada
- Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Adam Boxer
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, California, USA
| | - Anthony Lang
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Rossy PSP Program, University Health Network and the University of Toronto, Toronto, Ontario, Canada
- The Edmond J. Safra Program in Parkinson’s Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto, Ontario, Canada
- Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - M. Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- University Health Network Memory Clinic, Toronto, Ontario, Canada
- Rossy PSP Program, University Health Network and the University of Toronto, Toronto, Ontario, Canada
- Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
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Singh NA, Alnobani A, Graff‐Radford J, Machulda MM, Mielke MM, Schwarz CG, Senjem ML, Jack CR, Lowe VJ, Kanekiyo T, Josephs KA, Whitwell JL. Relationships between PET and blood plasma biomarkers in corticobasal syndrome. Alzheimers Dement 2024; 20:4765-4774. [PMID: 38885334 PMCID: PMC11247700 DOI: 10.1002/alz.13914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/26/2024] [Accepted: 04/28/2024] [Indexed: 06/20/2024]
Abstract
INTRODUCTION Corticobasal syndrome (CBS) can result from underlying Alzheimer's disease (AD) pathologies. Little is known about the utility of blood plasma metrics to predict positron emission tomography (PET) biomarker-confirmed AD in CBS. METHODS A cohort of eighteen CBS patients (8 amyloid beta [Aβ]+; 10 Aβ-) and 8 cognitively unimpaired (CU) individuals underwent PET imaging and plasma analysis. Plasma concentrations were compared using a Kruskal-Wallis test. Spearman correlations assessed relationships between plasma concentrations and PET uptake. RESULTS CBS Aβ+ group showed a reduced Aβ42/40 ratio, with elevated phosphorylated tau (p-tau)181, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) concentrations, while CBS Aβ- group only showed elevated NfL concentration compared to CU. Both p-tau181 and GFAP were able to differentiate CBS Aβ- from CBS Aβ+ and showed positive associations with Aβ and tau PET uptake. DISCUSSION This study supports use of plasma p-tau181 and GFAP to detect AD in CBS. NfL shows potential as a non-specific disease biomarker of CBS regardless of underlying pathology. HIGHLIGHTS Plasma phosphorylated tau (p-tau)181 and glial fibrillary acidic protein (GFAP) concentrations differentiate corticobasal syndrome (CBS) amyloid beta (Aβ)- from CBS Aβ+. Plasma neurofilament light concentrations are elevated in CBS Aβ- and Aβ+ compared to controls. Plasma p-tau181 and GFAP concentrations were associated with Aβ and tau positron emission tomography (PET) uptake. Aβ42/40 ratio showed a negative correlation with Aβ PET uptake.
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Affiliation(s)
| | - Alla Alnobani
- Department of Neuroscience, Mayo ClinicJacksonvilleFloridaUSA
| | | | - Mary M. Machulda
- Department of Psychiatry & Psychology, Mayo ClinicRochesterMinnesotaUSA
| | - Michelle M. Mielke
- Department of Epidemiology and PreventionWake Forest UniversityWinston‐SalemNorth CarolinaUSA
| | | | | | | | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
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Estudillo Romero A, Migliaccio R, Batrancourt B, Jannin P, Baxter JSH. Analysis of convolutional neural networks for fronto-temporal dementia biomarker discovery. Int J Comput Assist Radiol Surg 2024:10.1007/s11548-024-03197-w. [PMID: 38874653 DOI: 10.1007/s11548-024-03197-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 05/20/2024] [Indexed: 06/15/2024]
Abstract
PURPOSE Frontotemporal lobe dementia (FTD) results from the degeneration of the frontal and temporal lobes. It can manifest in several different ways, leading to the definition of variants characterised by their distinctive symptomatologies. As these variants are detected based on their symptoms, it can be unclear if they represent different types of FTD or different symptomatological axes. The goal of this paper is to investigate this question with a constrained cohort of FTD patients in order to see if the heterogeneity within this cohort can be inferred from medical images rather than symptom severity measurements. METHODS An ensemble of convolutional neural networks (CNNs) is used to classify diffusion tensor images collected from two databases consisting of 72 patients with behavioural variant FTD and 120 healthy controls. FTD biomarkers were found using voxel-based analysis on the sensitivities of these CNNs. Sparse principal components analysis (sPCA) is then applied on the sensitivities arising from the patient cohort in order to identify the axes along which the patients express these biomarkers. Finally, this is correlated with their symptom severity measurements in order to interpret the clinical presentation of each axis. RESULTS The CNNs result in sensitivities and specificities between 83 and 92%. As expected, our analysis determines that all the robust biomarkers arise from the frontal and temporal lobes. sPCA identified four axes in terms of biomarker expression which are correlated with symptom severity measurements. CONCLUSION Our analysis confirms that behavioural variant FTD is not a singular type or spectrum of FTD, but rather that it has multiple symptomatological axes that relate to distinct regions of the frontal and temporal lobes. This analysis suggests that medical images can be used to understand the heterogeneity of FTD patients and the underlying anatomical changes that lead to their different clinical presentations.
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Affiliation(s)
- Alfonso Estudillo Romero
- Laboratoire Traitement du Signal et de l'Image (LTSI, INSERM UMR 1099), Université de Rennes, Rennes, France
| | - Raffaella Migliaccio
- Frontal Functions and Pathology Laboratory (FrontLab), Institut du Cerveau, Paris, France
| | - Bénédicte Batrancourt
- Frontal Functions and Pathology Laboratory (FrontLab), Institut du Cerveau, Paris, France
| | - Pierre Jannin
- Laboratoire Traitement du Signal et de l'Image (LTSI, INSERM UMR 1099), Université de Rennes, Rennes, France
| | - John S H Baxter
- Laboratoire Traitement du Signal et de l'Image (LTSI, INSERM UMR 1099), Université de Rennes, Rennes, France.
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Bhattacharjee S, Scotton W, Djoukhadar I, Davidson YS, Minshull J, Robinson AC, Roncaroli F, Kobylecki C. Pick's Disease Presenting as Tremulous Parkinsonism with Limited Levodopa Response-A Rare Cause of Corticobasal Syndrome. Mov Disord Clin Pract 2024. [PMID: 38826096 DOI: 10.1002/mdc3.14125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 04/09/2024] [Accepted: 05/15/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND Corticobasal syndrome is a clinical diagnosis and common pathological causes are corticobasal degeneration, progressive supranuclear palsy and Alzheimer's disease. OBJECTIVES We would like to highlight a rare but important differential of corticobasal syndrome. METHODS A 78-year-old female had a 4-year history of predominantly right-hand rest tremor, worsening of handwriting but no change in cognition. The clinical examination showed right upper limb postural and kinetic tremor, mild wrist rigidity and reduced amplitude of right-sided finger tapping. She was initially diagnosed as idiopathic Parkinson's disease. Five years after onset of symptoms, she demonstrated bilateral myoclonic jerks and right upper limb dystonic posturing. She could not copy movements with the right hand. The magnetic resonance imaging (MRI) revealed disproportionate atrophy in the parietal lobes bilaterally. The clinical diagnosis was changed to probable corticobasal syndrome. She passed away 11 years from onset of symptoms at the age of 85 years. She underwent a post-mortem. RESULTS The anterior and posterior frontal cortex, anterior cingulate, temporal neocortex, hippocampus and amygdaloid complex demonstrated considerable tau-related pathology consisting of a dense background of neuropil threads, and rounded, paranuclear neuronal inclusions consistent with Pick bodies. The immunostaining for three microtubule binding domain repeats (3R) tau performed on sections from the frontal and temporal lobes, basal ganglia and midbrain highlighted several inclusions whilst no 4R tau was observed. She was finally diagnosed with Pick's disease. CONCLUSIONS Pick's disease can rarely present with clinical features of corticobasal syndrome.
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Affiliation(s)
- Shakya Bhattacharjee
- Department of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust (Salford Royal Hospital), Salford, UK
| | - William Scotton
- Department of Neurology, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Ibrahim Djoukhadar
- Department of Neuroradiology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust (Salford Royal Hospital), Salford, UK
| | - Yvonne S Davidson
- Division of Neuroscience, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - James Minshull
- Division of Neuroscience, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Andrew C Robinson
- Division of Neuroscience, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The University of Manchester, Manchester, UK
| | - Federico Roncaroli
- Division of Neuroscience, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The University of Manchester, Manchester, UK
| | - Christopher Kobylecki
- Department of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust (Salford Royal Hospital), Salford, UK
- Division of Neuroscience, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK
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Phillips JS, Adluru N, Chung MK, Radhakrishnan H, Olm CA, Cook PA, Gee JC, Cousins KAQ, Arezoumandan S, Wolk DA, McMillan CT, Grossman M, Irwin DJ. Greater white matter degeneration and lower structural connectivity in non-amnestic vs. amnestic Alzheimer's disease. Front Neurosci 2024; 18:1353306. [PMID: 38567286 PMCID: PMC10986184 DOI: 10.3389/fnins.2024.1353306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
Introduction Multimodal evidence indicates Alzheimer's disease (AD) is characterized by early white matter (WM) changes that precede overt cognitive impairment. WM changes have overwhelmingly been investigated in typical, amnestic mild cognitive impairment and AD; fewer studies have addressed WM change in atypical, non-amnestic syndromes. We hypothesized each non-amnestic AD syndrome would exhibit WM differences from amnestic and other non-amnestic syndromes. Materials and methods Participants included 45 cognitively normal (CN) individuals; 41 amnestic AD patients; and 67 patients with non-amnestic AD syndromes including logopenic-variant primary progressive aphasia (lvPPA, n = 32), posterior cortical atrophy (PCA, n = 17), behavioral variant AD (bvAD, n = 10), and corticobasal syndrome (CBS, n = 8). All had T1-weighted MRI and 30-direction diffusion-weighted imaging (DWI). We performed whole-brain deterministic tractography between 148 cortical and subcortical regions; connection strength was quantified by tractwise mean generalized fractional anisotropy. Regression models assessed effects of group and phenotype as well as associations with grey matter volume. Topological analyses assessed differences in persistent homology (numbers of graph components and cycles). Additionally, we tested associations of topological metrics with global cognition, disease duration, and DWI microstructural metrics. Results Both amnestic and non-amnestic patients exhibited lower WM connection strength than CN participants in corpus callosum, cingulum, and inferior and superior longitudinal fasciculi. Overall, non-amnestic patients had more WM disease than amnestic patients. LvPPA patients had left-lateralized WM degeneration; PCA patients had reductions in connections to bilateral posterior parietal, occipital, and temporal areas. Topological analysis showed the non-amnestic but not the amnestic group had more connected components than controls, indicating persistently lower connectivity. Longer disease duration and cognitive impairment were associated with more connected components and fewer cycles in individuals' brain graphs. Discussion We have previously reported syndromic differences in GM degeneration and tau accumulation between AD syndromes; here we find corresponding differences in WM tracts connecting syndrome-specific epicenters. Determining the reasons for selective WM degeneration in non-amnestic AD is a research priority that will require integration of knowledge from neuroimaging, biomarker, autopsy, and functional genetic studies. Furthermore, longitudinal studies to determine the chronology of WM vs. GM degeneration will be key to assessing evidence for WM-mediated tau spread.
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Affiliation(s)
- Jeffrey S. Phillips
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nagesh Adluru
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Moo K. Chung
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Hamsanandini Radhakrishnan
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Christopher A. Olm
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Philip A. Cook
- Penn Image Computing and Science Laboratory, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - James C. Gee
- Penn Image Computing and Science Laboratory, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Katheryn A. Q. Cousins
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sanaz Arezoumandan
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David A. Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Penn Memory Center, University of Pennsylvania Health System, Philadelphia, PA, United States
| | - Corey T. McMillan
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David J. Irwin
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Scotton WJ, Shand C, Todd EG, Bocchetta M, Cash DM, VandeVrede L, Heuer HW, Young AL, Oxtoby N, Alexander DC, Rowe JB, Morris HR, Boxer AL, Rohrer JD, Wijeratne PA. Distinct spatiotemporal atrophy patterns in corticobasal syndrome are associated with different underlying pathologies. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.14.24304298. [PMID: 38562801 PMCID: PMC10984071 DOI: 10.1101/2024.03.14.24304298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Objective To identify imaging subtypes of the cortico-basal syndrome (CBS) based solely on a data-driven assessment of MRI atrophy patterns, and investigate whether these subtypes provide information on the underlying pathology. Methods We applied Subtype and Stage Inference (SuStaIn), a machine learning algorithm that identifies groups of individuals with distinct biomarker progression patterns, to a large cohort of 135 CBS cases (52 had a pathological or biomarker defined diagnosis) and 252 controls. The model was fit using volumetric features extracted from baseline T1-weighted MRI scans and validated using follow-up MRI. We compared the clinical phenotypes of each subtype and investigated whether there were differences in associated pathology between the subtypes. Results SuStaIn identified two subtypes with distinct sequences of atrophy progression; four-repeat-tauopathy confirmed cases were most commonly assigned to the Subcortical subtype (83% of CBS-PSP and 75% of CBS-CBD), while CBS-AD was most commonly assigned to the Fronto-parieto-occipital subtype (81% of CBS-AD). Subtype assignment was stable at follow-up (98% of cases), and individuals consistently progressed to higher stages (100% stayed at the same stage or progressed), supporting the model's ability to stage progression. Interpretation By jointly modelling disease stage and subtype, we provide data-driven evidence for at least two distinct and longitudinally stable spatiotemporal subtypes of atrophy in CBS that are associated with different underlying pathologies. In the absence of sensitive and specific biomarkers, accurately subtyping and staging individuals with CBS at baseline has important implications for screening on entry into clinical trials, as well as for tracking disease progression.
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Affiliation(s)
- W J Scotton
- Dementia Research Centre, Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - C Shand
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - E G Todd
- Dementia Research Centre, Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - M Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, University College London, London, UK
- Centre for Cognitive and Clinical Neuroscience, Division of Psychology, Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UK
| | - D M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - L VandeVrede
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - H W Heuer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - A L Young
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - N Oxtoby
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - D C Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - J B Rowe
- Cambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust
- Medical Research Council Cognition and Brain Sciences Unit, Cambridge UK
| | - H R Morris
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK
- Movement Disorders Centre, University College London Queen Square Institute of Neurology, London, UK
| | - A L Boxer
- Centre for Cognitive and Clinical Neuroscience, Division of Psychology, Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UK
| | - J D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - P A Wijeratne
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Department of Informatics, University of Sussex, Brighton, BN1 9RH, UK
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9
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Jellinger KA. The enigma of depression in corticobasal degeneration, a frequent but poorly understood co-morbidity. J Neural Transm (Vienna) 2024; 131:195-202. [PMID: 38216704 DOI: 10.1007/s00702-023-02731-5] [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: 11/03/2023] [Accepted: 12/15/2023] [Indexed: 01/14/2024]
Abstract
Depression is one of the most frequent neuropsychiatric symptoms in corticobasal degeneration (CBD), a rare, sporadic, and late-onset progressive neurodegenerative disorder of unknown etiology. It is clinically characterized by a levodopa-poorly responsible akinetic-rigid syndrome, apraxia, limb dystonia, cognitive, mood, behavioral, and language disorders. This 4-repeat (4R) tauopathy is morphologically featured by asymmetric frontoparietal atrophy, neuronal loss, and gliosis in cortex and subcortex including substantia nigra, ballooned/achromatic neurons with filamentous 4R tau aggregates in cortex and striatum, widespread thread-like structures, pathognomonic "astroglial plaques", "tufted astrocytes", and numerous "coiled bodies" (in astrocytes and oligodendroglia) in cerebral white matter. CBD is non-specific, as pathologically proven cases include several clinical phenotypes. Pubmed and Google Scholar were systematically analyzed until October 2023, with focus on the prevalence, clinical manifestation, neuroimaging data, and treatment options of depression in CBD. Its prevalence is about 30-40% which is more frequent than in most other atypical parkinsonian syndromes. Depression usually does not correlate with motor and other clinical parameters, suggesting different pathophysiological mechanisms. Asymmetric atrophy and hypometabolism of frontoparietal cortical areas are associated with disruption of fronto-subcortical circuits, nigrostriatal dopaminergic, and cholinergic deficiency. Since no specific neuroimaging, neuropathological, or biomarker studies of depression in CBD are available, its pathobiological mechanisms and pathogenesis are poorly understood. Antidepressive therapy may be useful, but is often poorly tolerated. Depression in CBD, like in other parkinsonian syndromes, may be related to multi-regional patterns of cerebral disturbances and complex pathogenic mechanisms that deserve further elucidation as a basis for early diagnosis and adequate treatment to improve the quality of life in this fatal disease.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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10
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Parmera JB, de Godoi Carneiro C, de Almeida IJ, de Oliveira MCB, Barbosa PM, Studart-Neto A, Ono CR, Nitrini R, Buchpiguel CA, Barbosa ER, Brucki SMD, Coutinho AM. Probable 4-Repeat Tauopathy Criteria Predict Brain Amyloid Negativity, Distinct Clinical Features, and FDG-PET/MRI Neurodegeneneration Patterns in Corticobasal Syndrome. Mov Disord Clin Pract 2024; 11:238-247. [PMID: 38155526 DOI: 10.1002/mdc3.13959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 10/29/2023] [Accepted: 11/29/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Corticobasal syndrome (CBS) is associated with diverse underlying pathologies, including the four-repeat (4R)-tauopathies. The Movement Disorders Society (MDS) criteria for progressive supranuclear palsy (PSP) proposed the novel category "probable 4R-tauopathy" to address the phenotypic overlap between PSP and corticobasal degeneration (CBD). OBJECTIVES To investigate the clinical ability of the MDS-PSP criteria for probable 4R-tauopathy in predicting a negative amyloid-PET in CBS. Additionally, this study aims to explore CBS patients classified as 4R-tauopathy concerning their clinical features and neuroimaging degeneration patterns. METHODS Thirty-two patients with probable CBS were prospectively evaluated and split into those who fulfilled or did not fulfill the 4R-tauopathy criteria (CBS-4RT+ vs. CBS-4RT-). All patients underwent positron emission tomographies (PET) with [18 F]fluorodeoxyglucose and [11 C]Pittsburgh Compound-B (PIB) on a hybrid PET-MRI scanner to perform multimodal quantitative comparisons with a control group. RESULTS Eleven patients were clinically classified as CBS-4RT+, and only one had a positive PIB-PET. The CBS-4RT+ classification had 92% specificity, 52% sensitivity, and 69% accuracy in predicting a negative PIB-PET. The CBS-4RT+ group presented with dysarthria and perseveration more often than the CBS-4RT- group. Moreover, the CBS-4RT+ group showed a prominent frontal hypometabolism extending to the supplementary motor area and striatum, and brain atrophy at the anterior cingulate and bilateral striata. CONCLUSIONS The 4R-tauopathy criteria were highly specific in predicting a negative amyloid-PET in CBS. Patients classified as 4R-tauopathy presented distinct clinical aspects, as well as brain metabolism and atrophy patterns previously associated with tauopathies.
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Affiliation(s)
- Jacy Bezerra Parmera
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | - Camila de Godoi Carneiro
- Laboratory of Nuclear Medicine (LIM 43), Nuclear Medicine Division and Institute of Radiology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | - Isabel Junqueira de Almeida
- Department of Physical Therapy, Speech, and Occupational Therapy, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | | | - Pedro Melo Barbosa
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | - Adalberto Studart-Neto
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | - Carla Rachel Ono
- Laboratory of Nuclear Medicine (LIM 43), Nuclear Medicine Division and Institute of Radiology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | - Ricardo Nitrini
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | - Carlos Alberto Buchpiguel
- Laboratory of Nuclear Medicine (LIM 43), Nuclear Medicine Division and Institute of Radiology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | - Egberto Reis Barbosa
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | - Sonia Maria Dozzi Brucki
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
| | - Artur Martins Coutinho
- Laboratory of Nuclear Medicine (LIM 43), Nuclear Medicine Division and Institute of Radiology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil
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11
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Urso D, Nigro S, Tafuri B, De Blasi R, Pereira JB, Logroscino G. Nucleus Basalis of Meynert Degeneration Predicts Cognitive Decline in Corticobasal Syndrome. Biol Psychiatry 2024:S0006-3223(24)00061-1. [PMID: 38309321 DOI: 10.1016/j.biopsych.2024.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 01/13/2024] [Accepted: 01/22/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Cognitive changes are common in corticobasal syndrome (CBS) and significantly impact quality of life and caregiver burden. However, relatively few studies have investigated the neural substrates of cognitive changes in CBS, and reliable predictors of cognitive impairment are currently lacking. The nucleus basalis of Meynert (NbM), which serves as the primary source of cortical cholinergic innervation, has been functionally associated with cognition. This study aimed to explore whether patients with CBS exhibit reduced NbM volumes compared with healthy control participants and whether NbM degeneration can serve as a predictor of cognitive impairment in patients with CBS. METHODS In this study, we investigated in vivo volumetric changes of the NbM in 38 patients with CBS and 84 healthy control participants. Next, we assessed whether gray matter degeneration of the NbM evaluated at baseline could predict cognitive impairment during a 12-month follow-up period in patients with CBS. All volumetric analyses were performed using 3T T1-weighted images obtained from the 4-Repeat Tauopathy Neuroimaging Initiative. RESULTS Patients with CBS displayed significantly lower NbM volumes than control participants (p < .001). Structural damage of the NbM also predicted the development of cognitive impairment in patients with CBS as assessed by longitudinal measurements of the Clinical Dementia Rating Sum of Boxes (p < .001) and Mini-Mental State Examination (p = .035). CONCLUSIONS Our findings suggest that NbM atrophy may represent a promising noninvasive in vivo marker of cognitive decline in CBS and provide new insights into the neural mechanisms that underlie cognitive impairment in CBS.
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Affiliation(s)
- Daniele Urso
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, Tricase, Italy; Department of Neurosciences, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
| | - Salvatore Nigro
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, Tricase, Italy; Institute of Nanotechnology, National Research Council, Lecce, Italy
| | - Benedetta Tafuri
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, Tricase, Italy; Department of Translational Biomedicine and Neurosciences, University of Bari Aldo Moro, Bari, Italy
| | - Roberto De Blasi
- Department of Diagnostic Imaging, Pia Fondazione di Culto e Religione Card. G. Panico, Tricase, Italy
| | - Joana B Pereira
- Department of Clinical Neurosciences, Neuro Division, Karolinska Institute, Solna, Sweden
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, Tricase, Italy; Department of Translational Biomedicine and Neurosciences, University of Bari Aldo Moro, Bari, Italy.
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12
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Silveri MC, Lo Monaco MR, Tondinelli A, Leggio M, Olivito G. Clinical and MRI characterization of apraxic syndrome in corticobasal degeneration: A single-case study. Clin Neuropsychol 2024; 38:508-528. [PMID: 37674289 DOI: 10.1080/13854046.2023.2219469] [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: 12/08/2022] [Accepted: 05/24/2023] [Indexed: 09/08/2023]
Abstract
Objective: To identify the cortical and subcortical distribution of atrophy and the disorganization of white matter bundles underlying the apraxic disorders in a patient with corticobasal degeneration (CBD). Method: Patient underwent appropriate neuropsychological tasks aimed at identifying the nature of the apraxic disorder and morphometric structural MRI with whole-brain voxel-wise analysis. Results: Progressive limbkinetic apraxia (LKA) with onset in the right upper limb with subsequent extension to the limbs, trunk, orofacial district, and eye movements was documented, associated with element of ideomotor apraxia (IMA). The MRI study showed grey matter atrophy extending to much of the frontal cortex bilaterally, including the precentral cortex, and into the inferior parietal regions. Caudate and putamen were involved on the left. Significant clusters of white matter atrophy were found in the bilateral superior longitudinal fasciculus (SLF), inferior longitudinal fasciculus (ILF) and corpus callosum (CC). Sensory evoked potentials (SEPs) and motor evoked potentials (MEPs) were normal. Conclusion: Previous observations in CBD indicate lack of inhibitory control from the sensory to the primary motor cortex with dysfunctional frontoparietal and cortico-motoneuron projections. Our neuroimaging data are partially consistent with these observations suggesting that the apraxic disorder in our patient might be produced by the disconnection of the primary motor cortex from the parietal areas that prevents selection and control of muscle movements, in the presence of preserved cortico-motoneuron as demonstrated by normal PEM. Apraxic disorders in CBD are high-level deficits of movement control that spare the motoneuron.
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Affiliation(s)
- Maria Caterina Silveri
- Fondazione Policlinico Universitario 'Agostino Gemelli' IRCSS, Rome, Italy
- Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
| | - Maria Rita Lo Monaco
- Fondazione Policlinico Universitario 'Agostino Gemelli' IRCSS, Rome, Italy
- Institute of Internal Medicine and Geriatrics, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Alice Tondinelli
- Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
| | - Maria Leggio
- Department of Psychology, Sapienza Università di Roma, Rome, Italy
- Ataxia Research Laboratory, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Giusy Olivito
- Department of Psychology, Sapienza Università di Roma, Rome, Italy
- Ataxia Research Laboratory, IRCCS Fondazione Santa Lucia, Rome, Italy
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13
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Kim MS, Park DG, Shin IJ, An YS, Yoon JH. The Role of Dual-Phase 18 F-FP-CIT PET to Early Diagnosis of Corticobasal Syndrome. Clin Nucl Med 2024; 49:124-130. [PMID: 38015725 DOI: 10.1097/rlu.0000000000004979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
BACKGROUND Corticobasal syndrome (CBS) is a neurodegeneration characterized by asymmetric parkinsonism, dystonia, myoclonus, and apraxia. In the early stage, CBS presents with asymmetric parkinsonism and cortical symptoms (apraxia and alien hand), and neuroimaging finding is often vague, making early clinical differentiation from idiopathic Parkinson disease (IPD) challenging. This study was performed to delineate the specific patterns of cortical hypoperfusion, dopamine transporter (DAT) uptake using dual-phase FP-CIT PET in discriminating between CBS and IPD at early stage. PATIENTS AND METHODS The study enrolled clinically diagnosed CBS (n = 11) and IPD (n = 22) patients (age and sex matched). All participants underwent dual-phase 18 F-FP-CIT PET, and regional SUV ratio (SUVR) was obtained by semiquantitative analysis. The early perfusion imaging and DAT imaging were compared between groups. RESULTS The regional SUVRs (early phase) of the frontal lobe, thalamus, cingulate, and caudate were significantly lower in patients with CBS, whereas the SUVR of occipital lobe was lower in the IPD group. The CBS group exhibited more prominent asymmetry than the IPD group, particularly in the perirolandic area, superior frontal gyrus, and anterior parietal lobe in early phase PET. Striatal DAT uptake (delayed phase) revealed that the caudate showed lower SUVR and prominent asymmetry in the CBS group, and the caudate-to-putamen ratio (CP ratio) was significantly lower in CBS patients ( P < 0.001). Among the parameters (early and delayed), the CP ratio in DAT exhibited the most powerful discriminative power from receiver operating characteristic curve comparison (area under curve = 0.983). CONCLUSIONS This study demonstrated that the dual-phase FP-CIT PET is useful in differentiating CBS and IPD in the early stage of the disease, and a lower CP ratio of DAT imaging is highly informative for distinguishing between corticobasal degeneration and IPD.
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Affiliation(s)
| | - Dong Gueu Park
- From the Department of Neurology, Ajou University School of Medicine, Suwon
| | - In Ja Shin
- From the Department of Neurology, Ajou University School of Medicine, Suwon
| | - Young Sil An
- Department of Nuclear Medicine, Ajou University School of Medicine, Suwon, South Korea
| | - Jung Han Yoon
- From the Department of Neurology, Ajou University School of Medicine, Suwon
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14
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Son G, Neylan TC, Grinberg LT. Neuronal and glial vulnerability of the suprachiasmatic nucleus in tauopathies: evidence from human studies and animal models. Mol Neurodegener 2024; 19:4. [PMID: 38195580 PMCID: PMC10777507 DOI: 10.1186/s13024-023-00695-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 12/08/2023] [Indexed: 01/11/2024] Open
Abstract
Tauopathies, a group of neurodegenerative diseases that includes Alzheimer's disease, commonly lead to disturbances in sleep-wake patterns and circadian rhythm disorders. The circadian rhythm, a recurring 24-hour cycle governing human biological activity, is regulated by the hypothalamic suprachiasmatic nucleus (SCN) and endogenous transcriptional-translational feedback loops. Surprisingly, little attention has been given to investigating tauopathy-driven neuropathology in the SCN and the repercussions of SCN and circadian gene dysfunction in the human brain affected by tauopathies. This review aims to provide an overview of the current literature on the vulnerability of the SCN in tauopathies in humans. Emphasis is placed on elucidating the neuronal and glial changes contributing to the widespread disruption of the molecular circadian clock. Furthermore, this review identifies areas of knowledge requiring further investigation.
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Affiliation(s)
- Gowoon Son
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Thomas C Neylan
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Lea T Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil.
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
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15
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Moccia L, di Luzio M, Conte E, Modica M, Ambrosecchia M, Ardizzi M, Lanzotti P, Kotzalidis GD, Janiri D, Di Nicola M, Janiri L, Gallese V, Sani G. Sense of agency and its disturbances: A systematic review targeting the intentional binding effect in neuropsychiatric disorders. Psychiatry Clin Neurosci 2024; 78:3-18. [PMID: 37755315 DOI: 10.1111/pcn.13601] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 07/12/2023] [Accepted: 09/19/2023] [Indexed: 09/28/2023]
Abstract
Sense of agency (SoA) indicates a person's ability to perceive her/his own motor acts as actually being her/his and, through them, to exert control over the course of external events. Disruptions in SoA may profoundly affect the individual's functioning, as observed in several neuropsychiatric disorders. This is the first article to systematically review studies that investigated intentional binding (IB), a quantitative proxy for SoA measurement, in neurological and psychiatric patients. Eligible were studies of IB involving patients with neurological and/or psychiatric disorders. We included 15 studies involving 692 individuals. Risk of bias was low throughout studies. Abnormally increased action-outcome binding was found in schizophrenia and in patients with Parkinson's disease taking dopaminergic medications or reporting impulsive-compulsive behaviors. A decreased IB effect was observed in Tourette's disorder and functional movement disorders, whereas increased action-outcome binding was found in patients with the cortico-basal syndrome. The extent of IB deviation from healthy control values correlated with the severity of symptoms in several disorders. Inconsistent effects were found for autism spectrum disorders, anorexia nervosa, and borderline personality disorder. Findings pave the way for treatments specifically targeting SoA in neuropsychiatric disorders where IB is altered.
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Affiliation(s)
- Lorenzo Moccia
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Michelangelo di Luzio
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Eliana Conte
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Marco Modica
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Marianna Ambrosecchia
- Department of Medicine and Surgery, Unit of Neuroscience, University of Parma, Parma, Italy
| | - Martina Ardizzi
- Department of Medicine and Surgery, Unit of Neuroscience, University of Parma, Parma, Italy
| | - Pierluigi Lanzotti
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Georgios D Kotzalidis
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
- NESMOS Department, University of Rome La Sapienza, Faculty of Medicine and Psychology, Sant'Andrea University Hospital, Rome, Italy
| | - Delfina Janiri
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Marco Di Nicola
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Luigi Janiri
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Vittorio Gallese
- Department of Medicine and Surgery, Unit of Neuroscience, University of Parma, Parma, Italy
- Italian Academy for Advanced Studies in America at Columbia University, New York, New York, USA
| | - Gabriele Sani
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
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16
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Brown JA, Lee AJ, Fernhoff K, Pistone T, Pasquini L, Wise AB, Staffaroni AM, Luisa Mandelli M, Lee SE, Boxer AL, Rankin KP, Rabinovici GD, Luisa Gorno Tempini M, Rosen HJ, Kramer JH, Miller BL, Seeley WW. Functional network collapse in neurodegenerative disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.01.569654. [PMID: 38106054 PMCID: PMC10723363 DOI: 10.1101/2023.12.01.569654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Cognitive and behavioral deficits in Alzheimer's disease (AD) and frontotemporal dementia (FTD) result from brain atrophy and altered functional connectivity. However, it is unclear how atrophy relates to functional connectivity disruptions across dementia subtypes and stages. We addressed this question using structural and functional MRI from 221 patients with AD (n=82), behavioral variant FTD (n=41), corticobasal syndrome (n=27), nonfluent (n=34) and semantic (n=37) variant primary progressive aphasia, and 100 cognitively normal individuals. Using partial least squares regression, we identified three principal structure-function components. The first component showed overall atrophy correlating with primary cortical hypo-connectivity and subcortical/association cortical hyper-connectivity. Components two and three linked focal syndrome-specific atrophy to peri-lesional hypo-connectivity and distal hyper-connectivity. Structural and functional component scores predicted global and domain-specific cognitive deficits. Anatomically, functional connectivity changes reflected alterations in specific brain activity gradients. Eigenmode analysis identified temporal phase and amplitude collapse as an explanation for atrophy-driven functional connectivity changes.
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Affiliation(s)
- Jesse A. Brown
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Alex J. Lee
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Kristen Fernhoff
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Taylor Pistone
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Lorenzo Pasquini
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Amy B. Wise
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Adam M. Staffaroni
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Maria Luisa Mandelli
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Suzee E. Lee
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Adam L. Boxer
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Katherine P. Rankin
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Gil D. Rabinovici
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Maria Luisa Gorno Tempini
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Howard J. Rosen
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Joel H. Kramer
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - Bruce L. Miller
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
| | - William W. Seeley
- University of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA
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Jellinger KA. Pathomechanisms of cognitive and behavioral impairment in corticobasal degeneration. J Neural Transm (Vienna) 2023; 130:1509-1522. [PMID: 37659990 DOI: 10.1007/s00702-023-02691-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 08/23/2023] [Indexed: 09/04/2023]
Abstract
Corticobasal degeneration (CBD) is a rare, sporadic, late-onset progressive neurodegenerative disorder of unknown etiology, clinically characterized by an akinetic-rigid syndrome, behavior and personality disorders, language problems (aphasias), apraxia, executive and cognitive abnormalities and limb dystonia. The syndrome is not specific, as clinical features of pathologically proven CBD include several phenotypes. This 4-repeat (4R) tauopathy is morphologically featured by often asymmetric frontoparietal atrophy, ballooned/achromatic neurons containing filamentous 4R-tau aggregates in cortex and striatum, thread-like processes that are more widespread than in progressive supranuclear palsy (PSP), pathognomonic "astroglial plaques", and numerous inclusions in both astrocytes and oligodendroglia ("coiled bodies") in the white matter. Cognitive deficits in CBD are frequent initial presentations before onset of motor symptoms, depending on the phenotypic variant. They predominantly include executive and visuospatial dysfunction, sleep disorders and language deficits with usually preserved memory domains. Neuroimaging studies showed heterogenous locations of brain atrophy, particularly contralateral to the dominant symptoms, with disruption of striatal connections to prefrontal cortex and basal ganglia circuitry. Asymmetric hypometabolism, mainly involving frontal and parietal regions, is associated with brain cholinergic deficits, and dopaminergic nigrostriatal degeneration. Widespread alteration of cortical and subcortical structures causing heterogenous changes in various brain functional networks support the concept that CBD, similar to PSP, is a brain network disruption disorder. Putative pathogenic factors are hyperphosphorylated tau-pathology, neuroinflammation and oxidative injury, but the basic mechanisms of cognitive impairment in CBD, as in other degenerative movement disorders, are complex and deserve further elucidation as a basis for early diagnosis and adequate treatment of this fatal disorder.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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El Ouartassi A, Giordana C, Schiazza A, Chardin D, Darcourt J. [ 18F]-FDopa positron emission tomography imaging in corticobasal syndrome. Brain Imaging Behav 2023; 17:619-627. [PMID: 37474673 DOI: 10.1007/s11682-023-00789-z] [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] [Accepted: 06/30/2023] [Indexed: 07/22/2023]
Abstract
PURPOSE First, to investigate the patterns of [18F]-FDOPA positron emission tomography imaging in corticobasal syndrome using visual and semi-quantitative analysis and to compare them with patterns found in Parkinson's disease and progressive supranuclear palsy. Then, to search for correlations with clinical features and [18F]-FDG positron emission tomography imaging. METHODS 27 corticobasal syndrome patients who underwent [18F]-FDOPA positron emission tomography imaging were retrospectively studied. They were compared to 27 matched Parkinson's disease patients, 12 progressive supranuclear palsy patients and 53 normal controls. Scans were visually assigned to one of the following patterns: normal; unilateral homogeneous striatal uptake reduction; putamen uptake reduction with putamen-caudate gradient. A semi-quantitative analysis of striatal regional uptake and asymmetry was performed and correlated to clinical features and [18F]-FDG positron emission tomography patterns. RESULTS [18F]-FDOPA positron emission tomography appeared visually abnormal in only 33.5% of corticobasal syndrome patients. However, semi-quantitative analysis found putaminal asymmetry in 63%. Striatal uptake was homogeneously reduced in both putamen and caudate nucleus in corticobasal syndrome patients unlike in Parkinson's disease and progressive supranuclear palsy. No correlation was found between [18F]-FDOPA positron emission tomography and clinical features. Half of corticobasal syndrome patients presented a corticobasal degeneration pattern on [18F]-FDG positron emission tomography. CONCLUSION: [18F]-FDOPA positron emission tomography can often be normal in corticobasal syndrome patients. Semi-quantitative analysis is useful to unmask a significant asymmetry in many of them. Homogeneous striatal uptake reduction contralateral to the clinical signs is highly suggestive of corticobasal syndrome. This finding can be helpful to better characterize this syndrome with respect to Parkinson's disease and progressive supranuclear palsy.
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Affiliation(s)
- Anaïs El Ouartassi
- Movement Disorders Unit, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.
- Neurology Department, Centre Hospitalier d'Antibes, 107 Avenue de Nice, Antibes, France.
| | - Caroline Giordana
- Movement Disorders Unit, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France
| | - Aurélie Schiazza
- Nuclear Medicine Department, Centre Antoine Lacassagne, Université Côte d'Azur, Nice, France
- Research Group, UMR 4320, CEA-Université Côte d'Azur, Nice, France
| | - David Chardin
- Nuclear Medicine Department, Centre Antoine Lacassagne, Université Côte d'Azur, Nice, France
- Research Group, UMR 4320, CEA-Université Côte d'Azur, Nice, France
| | - Jacques Darcourt
- Nuclear Medicine Department, Centre Antoine Lacassagne, Université Côte d'Azur, Nice, France
- Research Group, UMR 4320, CEA-Université Côte d'Azur, Nice, France
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19
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Aiba I, Hayashi Y, Shimohata T, Yoshida M, Saito Y, Wakabayashi K, Komori T, Hasegawa M, Ikeuchi T, Tokumaru AM, Sakurai K, Murayama S, Hasegawa K, Uchihara T, Toyoshima Y, Saito Y, Yabe I, Tanikawa S, Sugaya K, Hayashi K, Sano T, Takao M, Sakai M, Fujimura H, Takigawa H, Adachi T, Hanajima R, Yokota O, Miki T, Iwasaki Y, Kobayashi M, Arai N, Ohkubo T, Yokota T, Mori K, Ito M, Ishida C, Tanaka M, Idezuka J, Kanazawa M, Aoki K, Aoki M, Hasegawa T, Watanabe H, Hashizume A, Niwa H, Yasui K, Ito K, Washimi Y, Mukai E, Kubota A, Toda T, Nakashima K. Clinical course of pathologically confirmed corticobasal degeneration and corticobasal syndrome. Brain Commun 2023; 5:fcad296. [PMID: 38090279 PMCID: PMC10715783 DOI: 10.1093/braincomms/fcad296] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 08/01/2023] [Accepted: 11/02/2023] [Indexed: 12/28/2023] Open
Abstract
The clinical presentation of corticobasal degeneration is diverse, while the background pathology of corticobasal syndrome is also heterogeneous. Therefore, predicting the pathological background of corticobasal syndrome is extremely difficult. Herein, we investigated the clinical findings and course in patients with pathologically, genetically and biochemically verified corticobasal degeneration and corticobasal syndrome with background pathology to determine findings suggestive of background disorder. Thirty-two patients were identified as having corticobasal degeneration. The median intervals from the initial symptoms to the onset of key milestones were as follows: gait disturbance, 0.0 year; behavioural changes, 1.0 year; falls, 2.0 years; cognitive impairment, 2.0 years; speech impairment, 2.5 years; supranuclear gaze palsy, 3.0 years; urinary incontinence, 3.0 years; and dysphagia, 5.0 years. The median survival time was 7.0 years; 50% of corticobasal degeneration was diagnosed as corticobasal degeneration/corticobasal syndrome at the final presentation. Background pathologies of corticobasal syndrome (n = 48) included corticobasal degeneration (33.3%), progressive supranuclear palsy (29.2%) and Alzheimer's disease (12.5%). The common course of corticobasal syndrome was initial gait disturbance and early fall. In addition, corticobasal degeneration-corticobasal syndrome manifested behavioural change (2.5 years) and cognitive impairment (3.0 years), as the patient with progressive supranuclear palsy-corticobasal syndrome developed speech impairment (1.0 years) and supranuclear gaze palsy (6.0 years). The Alzheimer's disease-corticobasal syndrome patients showed cognitive impairment (1.0 years). The frequency of frozen gait at onset was higher in the corticobasal degeneration-corticobasal syndrome group than in the progressive supranuclear palsy-corticobasal syndrome group [P = 0.005, odds ratio (95% confidence interval): 31.67 (1.46-685.34)]. Dysarthria at presentation was higher in progressive supranuclear palsy-corticobasal syndrome than in corticobasal degeneration-corticobasal syndrome [P = 0.047, 6.75 (1.16-39.20)]. Pyramidal sign at presentation and personality change during the entire course were higher in Alzheimer's disease-corticobasal syndrome than in progressive supranuclear palsy-corticobasal syndrome [P = 0.011, 27.44 (1.25-601.61), and P = 0.013, 40.00 (1.98-807.14), respectively]. In corticobasal syndrome, decision tree analysis revealed that 'freezing at onset' or 'no dysarthria at presentation and age at onset under 66 years in the case without freezing at onset' predicted corticobasal degeneration pathology with a sensitivity of 81.3% and specificity of 84.4%. 'Dysarthria at presentation and age at onset over 61 years' suggested progressive supranuclear palsy pathology, and 'pyramidal sign at presentation and personality change during the entire course' implied Alzheimer's disease pathology. In conclusion, frozen gait at onset, dysarthria, personality change and pyramidal signs may be useful clinical signs for predicting background pathologies in corticobasal syndrome.
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Affiliation(s)
- Ikuko Aiba
- Department of Neurology, NHO Higashinagoya National Hospital, Nagoya, Aichi 465-8620, Japan
| | - Yuichi Hayashi
- Department of Neurology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Takayoshi Shimohata
- Department of Neurology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Mari Yoshida
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Aichi 480-1195, Japan
| | - Yuko Saito
- Department of Neuropathology (the Brain Bank for Aging Research), Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi, Tokyo 173-0015, Japan
- Department of Pathology and Laboratory Medicine, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8551, Japan
| | - Koichi Wakabayashi
- Department of Neuropathology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036-8562, Japan
| | - Takashi Komori
- Department of Laboratory Medicine and Pathology (Neuropathology), Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo 183-0042, Japan
| | - Masato Hasegawa
- Department of Brain & Neurosciences, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo 156-8506, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Chuo, Niigata 951-8585, Japan
| | - Aya M Tokumaru
- Department of Diagnostic Radiology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi, Tokyo 173-0015, Japan
| | - Keita Sakurai
- Department of Radiology, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan
| | - Shigeo Murayama
- Brain Bank for Neurodevelopmental, Neurological and Psychiatric Disorders, United Graduate School of Child Development, Osaka University, Suita, Osaka 565-0871, Japan
- Department of Neurology and Neuropathology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi, Tokyo 173-0015, Japan
| | - Kazuko Hasegawa
- Department of Neurology, NHO Sagamihara National Hospital, Sagamihara, Kanagawa 252-0392, Japan
| | - Toshiki Uchihara
- Neurology Clinic with Neuromorphomics Laboratory, Nitobe-Memorial Nakano General Hospital, Nakano, Tokyo 164-8607, Japan
- Laboratory of Structural Neuropathology, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo 156-8506, Japan
| | - Yasuko Toyoshima
- Department of Neurology, Brain Disease Center Agano Hospital, Agano, Niigata 959-2221, Japan
- Department of Pathology, Brain Research Institute, Niigata University, Chuo, Niigata 951-8585, Japan
| | - Yufuko Saito
- Department of Neurology, NHO Higashinagoya National Hospital, Nagoya, Aichi 465-8620, Japan
| | - Ichiro Yabe
- Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido 060-8638, Japan
| | - Satoshi Tanikawa
- Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, Hokkaido 001-0021, Japan
| | - Keizo Sugaya
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo 183-0042, Japan
| | - Kentaro Hayashi
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo 183-0042, Japan
| | - Terunori Sano
- Department of Laboratory Medicine, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8551, Japan
| | - Masaki Takao
- Department of Laboratory Medicine, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8551, Japan
| | - Motoko Sakai
- Department of Neurology, NHO Suzuka National Hospital, Suzuka, Mie 513-8501, Japan
| | - Harutoshi Fujimura
- Department of Neurology, NHO Osaka Toneyama Medical Center, Toyonaka, Osaka 560-8552, Japan
| | - Hiroshi Takigawa
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Tottori 683-8503, Japan
| | - Tadashi Adachi
- Division of Neuropathology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Tottori 683-8503, Japan
| | - Ritsuko Hanajima
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Tottori 683-8503, Japan
| | - Osamu Yokota
- Department of Psychiatry, Kinoko Espoir Hospital, Kasaoka, Okayama 714-0071, Japan
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Kita, Okayama 700-8558, Japan
| | - Tomoko Miki
- Department of Psychiatry, Kinoko Espoir Hospital, Kasaoka, Okayama 714-0071, Japan
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Kita, Okayama 700-8558, Japan
| | - Yasushi Iwasaki
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Aichi 480-1195, Japan
| | - Michio Kobayashi
- Department of Neurology, NHO Akita National Hospital, Yurihonjo, Akita 018-1393, Japan
| | - Nobutaka Arai
- Laboratory of Neuropathology, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo 156-8506, Japan
| | - Takuya Ohkubo
- Department of Neurology and Neurological Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo 113-8519, Japan
| | - Takanori Yokota
- Department of Neurology and Neurological Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo 113-8519, Japan
| | - Keiko Mori
- Department of Neurology, Oyamada Memorial Spa Hospital, Yokkaichi, Mie 512-1111, Japan
| | - Masumi Ito
- Department of Neurology, Oyamada Memorial Spa Hospital, Yokkaichi, Mie 512-1111, Japan
| | - Chiho Ishida
- Department of Neurology, NHO Iou National Hospital, Kanazawa, Ishikawa 920-0192, Japan
| | - Masaharu Tanaka
- Department of Psychiatry, Mishima Hospital, Nagaoka, Niigata 940-2302, Japan
| | - Jiro Idezuka
- Department of Neurology, Ojiya Sakura Hospital, Ojiya, Niigata 947-0041, Japan
| | - Masato Kanazawa
- Department of Neurology, Clinical Neuroscience Branch, Brain Research Institute, Niigata University, Chuo, Niigata 951-8585, Japan
| | - Kenju Aoki
- Department of Neurology, Brain Disease Center Agano Hospital, Agano, Niigata 959-2221, Japan
| | - Masashi Aoki
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan
| | - Takafumi Hasegawa
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan
| | - Hirohisa Watanabe
- Department of Neurology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
| | - Atsushi Hashizume
- Department of Clinical Research Education, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Hisayoshi Niwa
- Department of Neurology, Kariya Toyota General Hospital, Kariya, Aichi 448-8505, Japan
| | - Keizo Yasui
- Department of Neurology, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Aichi 466-8650, Japan
| | - Keita Ito
- Department of Neurology, Hekinan Municipal Hospital, Hekinan, Aichi 447-8502, Japan
| | - Yukihiko Washimi
- Department of Geriatrics and Gerontology, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan
| | - Eiichiro Mukai
- Department of Neurology, Aichi-pref Saiseikai Rehabilitation Hospital, Nagoya, Aichi 451-0052, Japan
| | - Akatsuki Kubota
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Bunkyo, Tokyo 113-8655, Japan
| | - Tatsushi Toda
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Bunkyo, Tokyo 113-8655, Japan
| | - Kenji Nakashima
- Department of Neurology, NHO Matsue Medical Center, Matsue, Shimane 690-8556, Japan
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Saito Y, Kamagata K, Andica C, Uchida W, Takabayashi K, Yoshida S, Nakaya M, Tanaka Y, Kamio S, Sato K, Nishizawa M, Akashi T, Shimoji K, Wada A, Aoki S. Glymphatic system impairment in corticobasal syndrome: diffusion tensor image analysis along the perivascular space (DTI-ALPS). Jpn J Radiol 2023; 41:1226-1235. [PMID: 37273112 DOI: 10.1007/s11604-023-01454-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 05/19/2023] [Indexed: 06/06/2023]
Abstract
PURPOSE This study aimed to evaluate the along the perivascular space (ALPS) index based on the diffusion tensor image ALPS (DTI-ALPS) in corticobasal degeneration with corticobasal syndrome (CBD-CBS) and investigate its correlation with motor and cognitive functions. MATERIALS AND METHODS The data of 21 patients with CBD-CBS and 17 healthy controls (HCs) were obtained from the 4-Repeat Tauopathy Neuroimaging Initiative and the Frontotemporal Lobar Degeneration Neuroimaging Initiative databases. Diffusion magnetic resonance imaging was performed using a 3-Tesla MRI scanner. The ALPS index based on DTI-ALPS was automatically calculated after preprocessing. The ALPS index was compared between the CBD-CBS and HC groups via a general linear model analysis, with covariates such as age, sex, years of education, and intracranial volume (ICV). Furthermore, to confirm the relation between the ALPS index and the motor and cognitive score in CBD-CBS, the partial Spearman's rank correlation coefficient was calculated with covariates such as age, sex, years of education, and ICV. A p value of < 0.05 was considered as statistically significant in all statistical analyses. RESULTS The ALPS index of CBD-CBS was significantly lower than that of HC (Cohen's d = - 1.53, p < 0.005). Moreover, the ALPS index had a significant positive correlation with the mini mental state evaluation score (rs = 0.65, p < 0.005) and a significant negative correlation with the unified Parkinson's Disease Rating Scale III score (rs = - 0.75, p < 0.001). CONCLUSION The ALPS index of patients with CBD-CBS, which is significantly lower than that of HCs, is significantly associated with motor and cognitive functions.
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Affiliation(s)
- Yuya Saito
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan.
| | - Christina Andica
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
- Faculty of Health Data Science, Juntendo University, Chiba, Japan
| | - Wataru Uchida
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
| | - Kaito Takabayashi
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
| | - Seina Yoshida
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
- Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Moto Nakaya
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
- Department of Radiology, The University of Tokyo, Tokyo, Japan
| | - Yuya Tanaka
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
- Department of Radiology, The University of Tokyo, Tokyo, Japan
| | - Satoru Kamio
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
- Department of Radiology, The University of Tokyo, Tokyo, Japan
| | - Kanako Sato
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
| | - Mitsuo Nishizawa
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
- Faculty of Health Data Science, Juntendo University, Chiba, Japan
| | - Toshiaki Akashi
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
| | - Keigo Shimoji
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
- Faculty of Health Data Science, Juntendo University, Chiba, Japan
| | - Akihiko Wada
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan
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Tafuri B, Urso D, Nigro S, Macchitella L, De Blasi R, Ray Chaudhuri K, Logroscino G. Grey-matter correlates of empathy in 4-Repeat Tauopathies. NPJ Parkinsons Dis 2023; 9:138. [PMID: 37758794 PMCID: PMC10533505 DOI: 10.1038/s41531-023-00576-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
Loss of empathy is an early and central symptom of frontotemporal lobar degeneration spectrum diseases. We aimed to investigate the topographical distribution of morphometric brain changes associated with empathy in Progressive Supranuclear Palsy (PSP) and Corticobasal Syndrome (CBS) patients. Twenty-seven participants with CBS and 31 with PSP were evaluated using Interpersonal Reactivity Index scales in correlation with gray matter atrophy using a voxel-based morphometry approach. Lower levels of empathy were associated with an increased atrophy in fronto-temporal cortical structures. At subcortical level, empathy scores were positively correlated with gray matter volume in the amygdala, hippocampus and the cerebellum. These findings allow to extend the traditional cortico-centric view of cognitive empathy to the cerebellar regions in patients with neurodegenerative disorders and suggest that the cerebellum may play a more prominent role in social cognition than previously appreciated.
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Affiliation(s)
- Benedetta Tafuri
- Center for Neurodegenerative Diseases and the Aging Brain, University of Bari 'Aldo Moro', "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy
- Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari 'Aldo Moro', Bari, Italy
| | - Daniele Urso
- Center for Neurodegenerative Diseases and the Aging Brain, University of Bari 'Aldo Moro', "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy
- Department of Neurosciences, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, UK
| | - Salvatore Nigro
- Center for Neurodegenerative Diseases and the Aging Brain, University of Bari 'Aldo Moro', "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy
- Institute of Nanotechnology (NANOTEC), National Research Council, Lecce, Italy
| | - Luigi Macchitella
- IRCCS "E. Medea"- Unit for Severe disabilities in developmental age and young adults (Developmental Neurology and Neurorehabilitation), Brindisi, Italy
| | - Roberto De Blasi
- Center for Neurodegenerative Diseases and the Aging Brain, University of Bari 'Aldo Moro', "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy
| | - K Ray Chaudhuri
- Department of Neurosciences, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, UK
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, University of Bari 'Aldo Moro', "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy.
- Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari 'Aldo Moro', Bari, Italy.
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Rossi C, Campese N, Colosimo C. Emerging Symptomatic Treatment of Chronic Traumatic Encephalopathy (CTE): a narrative review. Expert Opin Pharmacother 2023; 24:1415-1425. [PMID: 37300418 DOI: 10.1080/14656566.2023.2224501] [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: 02/26/2023] [Accepted: 06/08/2023] [Indexed: 06/12/2023]
Abstract
INTRODUCTION Chronic traumatic encephalopathy (CTE) is an emergent neurodegenerative tauopathy well characterized pathologically but with limited consensus about clinical criteria. The clinical features include cognitive, behavioral, and motor symptoms such as parkinsonism, gait, balance disorder, and bulbar impairment. Their recognition derives from retrospective studies in pathologically confirmed CTE patients. This is one of the main reasons for the lack of specific pharmacological studies targeting symptoms or pathologic pathways of this disease. AREAS COVERED In this narrative review, we overview the possible symptomatic treatment options for CTE, based on pathological similarities with other neurodegenerative diseases that may share common pathological pathways with CTE. The PubMed database was screened for articles addressing the symptomatic treatment of CTE and Traumatic Encephalopathy Syndrome (TES). Additional references were retrieved by reference cross-check and retained if pertinent to the subject. The clinicaltrials.gov database was screened for ongoing trials on the treatment of CTE. EXPERT OPINION The similarities with the other tauopathies allow us, in the absence of disease-specific evidence, to translate some knowledge from these neurodegenerative disorders to CTE's symptomatic treatment, but any conclusion should be drawn cautiously and a patient-tailored strategy should be always preferred balancing the risks and benefits of each treatment.
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Affiliation(s)
- Carlo Rossi
- Neurology Unit, F. Lotti Hospital of Pontedera. Azienda Sanitaria Locale Toscana Nord-Ovest, Pisa, Italy
| | - Nicole Campese
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Carlo Colosimo
- Department of Neurology, S. Maria University Hospital, Terni, Italy
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Uchida W, Kamagata K, Andica C, Takabayashi K, Saito Y, Owaki M, Fujita S, Hagiwara A, Wada A, Akashi T, Sano K, Hori M, Aoki S. Fiber-specific micro- and macroscopic white matter alterations in progressive supranuclear palsy and corticobasal syndrome. NPJ Parkinsons Dis 2023; 9:122. [PMID: 37591877 PMCID: PMC10435458 DOI: 10.1038/s41531-023-00565-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 08/02/2023] [Indexed: 08/19/2023] Open
Abstract
Progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) are characterized by progressive white matter (WM) alterations associated with the prion-like spreading of four-repeat tau, which has been pathologically confirmed. It has been challenging to monitor the WM degeneration patterns underlying the clinical deficits in vivo. Here, a fiber-specific fiber density and fiber cross-section, and their combined measure estimated using fixel-based analysis (FBA), were cross-sectionally and longitudinally assessed in PSP (n = 20), CBS (n = 17), and healthy controls (n = 20). FBA indicated disease-specific progression patterns of fiber density loss and subsequent bundle atrophy consistent with the tau propagation patterns previously suggested in a histopathological study. This consistency suggests the new insight that FBA can monitor the progressive tau-related WM changes in vivo. Furthermore, fixel-wise metrics indicated strong correlations with motor and cognitive dysfunction and the classifiability of highly overlapping diseases. Our findings might also provide a tool to monitor clinical decline and classify both diseases.
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Affiliation(s)
- Wataru Uchida
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Christina Andica
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
- Faculty of Health Data Science, Juntendo University, Urayasu, Chiba, 279-0013, Japan
| | - Kaito Takabayashi
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Yuya Saito
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Mana Owaki
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
- Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa-ku, Tokyo, 116-8551, Japan
| | - Shohei Fujita
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Akifumi Hagiwara
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Akihiko Wada
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Toshiaki Akashi
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Katsuhiro Sano
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Masaaki Hori
- Department of Radiology, Toho University Omori Medical Center, Ota-ku, Tokyo, 143-8541, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8421, Japan
- Faculty of Health Data Science, Juntendo University, Urayasu, Chiba, 279-0013, Japan
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24
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Grossman M, Seeley WW, Boxer AL, Hillis AE, Knopman DS, Ljubenov PA, Miller B, Piguet O, Rademakers R, Whitwell JL, Zetterberg H, van Swieten JC. Frontotemporal lobar degeneration. Nat Rev Dis Primers 2023; 9:40. [PMID: 37563165 DOI: 10.1038/s41572-023-00447-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 08/12/2023]
Abstract
Frontotemporal lobar degeneration (FTLD) is one of the most common causes of early-onset dementia and presents with early social-emotional-behavioural and/or language changes that can be accompanied by a pyramidal or extrapyramidal motor disorder. About 20-25% of individuals with FTLD are estimated to carry a mutation associated with a specific FTLD pathology. The discovery of these mutations has led to important advances in potentially disease-modifying treatments that aim to slow progression or delay disease onset and has improved understanding of brain functioning. In both mutation carriers and those with sporadic disease, the most common underlying diagnoses are linked to neuronal and glial inclusions containing tau (FTLD-tau) or TDP-43 (FTLD-TDP), although 5-10% of patients may have inclusions containing proteins from the FUS-Ewing sarcoma-TAF15 family (FTLD-FET). Biomarkers definitively identifying specific pathological entities in sporadic disease have been elusive, which has impeded development of disease-modifying treatments. Nevertheless, disease-monitoring biofluid and imaging biomarkers are becoming increasingly sophisticated and are likely to serve as useful measures of treatment response during trials of disease-modifying treatments. Symptomatic trials using novel approaches such as transcranial direct current stimulation are also beginning to show promise.
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Affiliation(s)
- Murray Grossman
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - William W Seeley
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
| | - Adam L Boxer
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | | | - Peter A Ljubenov
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce Miller
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Olivier Piguet
- School of Psychology and Brain and Mind Center, University of Sydney, Sydney, New South Wales, Australia
| | - Rosa Rademakers
- VIB Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The University of Gothenburg, Mölndal, Sweden
- Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
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25
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Street D, Jabbari E, Costantini A, Jones PS, Holland N, Rittman T, Jensen MT, Chelban V, Goh YY, Guo T, Heslegrave AJ, Roncaroli F, Klein JC, Ansorge O, Allinson KSJ, Jaunmuktane Z, Revesz T, Warner TT, Lees AJ, Zetterberg H, Russell LL, Bocchetta M, Rohrer JD, Burn DJ, Pavese N, Gerhard A, Kobylecki C, Leigh PN, Church A, Hu MTM, Houlden H, Morris H, Rowe JB. Progression of atypical parkinsonian syndromes: PROSPECT-M-UK study implications for clinical trials. Brain 2023; 146:3232-3242. [PMID: 36975168 PMCID: PMC10393398 DOI: 10.1093/brain/awad105] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 02/11/2023] [Accepted: 02/21/2023] [Indexed: 03/29/2023] Open
Abstract
The advent of clinical trials of disease-modifying agents for neurodegenerative disease highlights the need for evidence-based end point selection. Here we report the longitudinal PROSPECT-M-UK study of progressive supranuclear palsy (PSP), corticobasal syndrome (CBS), multiple system atrophy (MSA) and related disorders, to compare candidate clinical trial end points. In this multicentre UK study, participants were assessed with serial questionnaires, motor examination, neuropsychiatric and MRI assessments at baseline, 6 and 12 months. Participants were classified by diagnosis at baseline and study end, into Richardson syndrome, PSP-subcortical (PSP-parkinsonism and progressive gait freezing subtypes), PSP-cortical (PSP-frontal, PSP-speech and language and PSP-CBS subtypes), MSA-parkinsonism, MSA-cerebellar, CBS with and without evidence of Alzheimer's disease pathology and indeterminate syndromes. We calculated annual rate of change, with linear mixed modelling and sample sizes for clinical trials of disease-modifying agents, according to group and assessment type. Two hundred forty-three people were recruited [117 PSP, 68 CBS, 42 MSA and 16 indeterminate; 138 (56.8%) male; age at recruitment 68.7 ± 8.61 years]. One hundred and fifty-nine completed the 6-month assessment (82 PSP, 27 CBS, 40 MSA and 10 indeterminate) and 153 completed the 12-month assessment (80 PSP, 29 CBS, 35 MSA and nine indeterminate). Questionnaire, motor examination, neuropsychiatric and neuroimaging measures declined in all groups, with differences in longitudinal change between groups. Neuroimaging metrics would enable lower sample sizes to achieve equivalent power for clinical trials than cognitive and functional measures, often achieving N < 100 required for 1-year two-arm trials (with 80% power to detect 50% slowing). However, optimal outcome measures were disease-specific. In conclusion, phenotypic variance within PSP, CBS and MSA is a major challenge to clinical trial design. Our findings provide an evidence base for selection of clinical trial end points, from potential functional, cognitive, clinical or neuroimaging measures of disease progression.
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Affiliation(s)
- Duncan Street
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Edwin Jabbari
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Alyssa Costantini
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - P Simon Jones
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Negin Holland
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Timothy Rittman
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Marte T Jensen
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Viorica Chelban
- Department of Neuromuscular Diseases, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Neurobiology and Medical Genetics Laboratory, ‘Nicolae Testemitanu’ State University of Medicine and Pharmacy, Chisinau 2004, Republic of Moldova
| | - Yen Y Goh
- Department of Neuromuscular Diseases, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Tong Guo
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Amanda J Heslegrave
- Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute, University College London, London, W1T 7NF, UK
| | - Federico Roncaroli
- Geoffrey Jefferson Brain Research Centre, Division of Neuroscience, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M6 8HD, UK
| | - Johannes C Klein
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Olaf Ansorge
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Kieren S J Allinson
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Zane Jaunmuktane
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Queen Square Brain Bank for Neurological Disorders, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Reta Lila Weston Institute, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Tamas Revesz
- Queen Square Brain Bank for Neurological Disorders, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Reta Lila Weston Institute, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Thomas T Warner
- Queen Square Brain Bank for Neurological Disorders, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Reta Lila Weston Institute, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Andrew J Lees
- Queen Square Brain Bank for Neurological Disorders, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Reta Lila Weston Institute, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute, University College London, London, W1T 7NF, UK
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 30 Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Salhgrenska Academy at the University of Gothenburg, 413 45 Goteborg, Sweden
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Shatin, N.T., Hong Kong, China
| | - Lucy L Russell
- Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Martina Bocchetta
- Centre for Cognitive and Clinical Neuroscience, Division of Psychology, Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UB8 3PH, UK
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - David J Burn
- Faculty of Medical Sciences, Newcastle University, Newcastle, NE2 4HH, UK
| | - Nicola Pavese
- Clinical Ageing Research Unit, Newcastle University, Newcastle, NE4 5PL, UK
| | - Alexander Gerhard
- Division of Neuroscience, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, N20 3LJ, UK
- Departments of Geriatric Medicine and Nuclear Medicine, Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, 45356 Essen, Germany
| | - Christopher Kobylecki
- Division of Neuroscience, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, N20 3LJ, UK
- Department of Neurology, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, Salford, M13 9NQ, UK
| | - P Nigel Leigh
- Department of Neuroscience, Brighton and Sussex Medical School, Brighton, BN1 9PX, UK
| | - Alistair Church
- Department of Neurology, Royal Gwent Hospital, Newport, NP20 2UB, UK
| | - Michele T M Hu
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
- Department of Physiology, Anatomy and Genetics, Oxford Parkinson’s Disease Centre, University of Oxford, Oxford, OX1 3QU, UK
| | - Henry Houlden
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Department of Neuromuscular Diseases, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Huw Morris
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - James B Rowe
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK
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26
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Kurihara M, Ishibashi K, Matsubara T, Hatano K, Ihara R, Higashihara M, Kameyama M, Tokumaru AM, Takeda K, Nishina Y, Kanemaru K, Ishii K, Iwata A. High sensitivity of asymmetric 18F-THK5351 PET abnormality in patients with corticobasal syndrome. Sci Rep 2023; 13:12147. [PMID: 37500734 PMCID: PMC10374540 DOI: 10.1038/s41598-023-39227-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 07/21/2023] [Indexed: 07/29/2023] Open
Abstract
Corticobasal syndrome (CBS) is characterized by symptoms related to the asymmetric involvement of the cerebral cortex and basal ganglia. However, early detection of asymmetric imaging abnormalities can be challenging. Previous studies reported asymmetric 18F-THK5351 PET abnormalities in CBS patients, but the sensitivity for detecting such abnormalities in larger patient samples, including early-stage cases, remains unclear. Patients clinically diagnosed with CBS were recruited. All patients displayed asymmetric symptoms in the cerebral cortex and basal ganglia. Asymmetric THK5351 PET abnormalities were determined through visual assessment. Brain MRI, perfusion SPECT, and dopamine transporter (DAT) SPECT results were retrospectively reviewed. The 15 patients had a median age of 72 years (59-86 years) and a disease duration of 2 years (0.5-7 years). Four patients met the probable and 11 met the possible CBS criteria according to Armstrong criteria at the time of PET examination. All patients, including early-stage cases, exhibited asymmetric tracer uptake contralateral to their symptom-dominant side in the cerebral cortex/subcortical white matter and striatum (100%). The sensitivity for detecting asymmetric imaging abnormalities contralateral to the symptom-dominant side was 86.7% for brain MRI, 81.8% for perfusion SPECT, and 90% for DAT SPECT. White matter volume reduction was observed in the subcortical region of the precentral gyrus with increased THK5351 uptake, occurring significantly more frequently than gray matter volume reduction. THK5351 PET may be a sensitive imaging technique for detecting asymmetric CBS pathologies, including those in early stages.
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Affiliation(s)
- Masanori Kurihara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakaecho, Itabashi-ku, Tokyo, 173-0015, Japan
- Integrated Research Initiative for Living Well With Dementia, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Kenji Ishibashi
- Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Tomoyasu Matsubara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakaecho, Itabashi-ku, Tokyo, 173-0015, Japan
| | - Keiko Hatano
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakaecho, Itabashi-ku, Tokyo, 173-0015, Japan
| | - Ryoko Ihara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakaecho, Itabashi-ku, Tokyo, 173-0015, Japan
| | - Mana Higashihara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakaecho, Itabashi-ku, Tokyo, 173-0015, Japan
| | - Masashi Kameyama
- Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
- Department of Diagnostic Radiology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Aya Midori Tokumaru
- Department of Diagnostic Radiology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Katsuhiko Takeda
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakaecho, Itabashi-ku, Tokyo, 173-0015, Japan
- Bunkyo Cognitive Neuroscience Laboratory, Tokyo, Japan
| | - Yasushi Nishina
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakaecho, Itabashi-ku, Tokyo, 173-0015, Japan
| | - Kazutomi Kanemaru
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakaecho, Itabashi-ku, Tokyo, 173-0015, Japan
| | - Kenji Ishii
- Research Team for Neuroimaging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Atsushi Iwata
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2, Sakaecho, Itabashi-ku, Tokyo, 173-0015, Japan.
- Integrated Research Initiative for Living Well With Dementia, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
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27
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Donato L, Mordà D, Scimone C, Alibrandi S, D'Angelo R, Sidoti A. How Many Alzheimer-Perusini's Atypical Forms Do We Still Have to Discover? Biomedicines 2023; 11:2035. [PMID: 37509674 PMCID: PMC10377159 DOI: 10.3390/biomedicines11072035] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/17/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Alzheimer-Perusini's (AD) disease represents the most spread dementia around the world and constitutes a serious problem for public health. It was first described by the two physicians from whom it took its name. Nowadays, we have extensively expanded our knowledge about this disease. Starting from a merely clinical and histopathologic description, we have now reached better molecular comprehension. For instance, we passed from an old conceptualization of the disease based on plaques and tangles to a more modern vision of mixed proteinopathy in a one-to-one relationship with an alteration of specific glial and neuronal phenotypes. However, no disease-modifying therapies are yet available. It is likely that the only way to find a few "magic bullets" is to deepen this aspect more and more until we are able to draw up specific molecular profiles for single AD cases. This review reports the most recent classifications of AD atypical variants in order to summarize all the clinical evidence using several discrimina (for example, post mortem neurofibrillary tangle density, cerebral atrophy, or FDG-PET studies). The better defined four atypical forms are posterior cortical atrophy (PCA), logopenic variant of primary progressive aphasia (LvPPA), behavioral/dysexecutive variant and AD with corticobasal degeneration (CBS). Moreover, we discuss the usefulness of such classifications before outlining the molecular-genetic aspects focusing on microglial activity or, more generally, immune system control of neuroinflammation and neurodegeneration.
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Affiliation(s)
- Luigi Donato
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Biomolecular Strategies, Genetics, Cutting-Edge Therapies, Euro-Mediterranean Institute of Science and Technology, Via Michele Miraglia, 98139 Palermo, Italy
| | - Domenico Mordà
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Biomolecular Strategies, Genetics, Cutting-Edge Therapies, Euro-Mediterranean Institute of Science and Technology, Via Michele Miraglia, 98139 Palermo, Italy
| | - Concetta Scimone
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Biomolecular Strategies, Genetics, Cutting-Edge Therapies, Euro-Mediterranean Institute of Science and Technology, Via Michele Miraglia, 98139 Palermo, Italy
| | - Simona Alibrandi
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno D'Alcontres 31, 98166 Messina, Italy
| | - Rosalia D'Angelo
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
| | - Antonina Sidoti
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
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28
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Shir D, Pham NTT, Botha H, Koga S, Kouri N, Ali F, Knopman DS, Petersen RC, Boeve BF, Kremers WK, Nguyen AT, Murray ME, Reichard RR, Dickson DW, Graff-Radford N, Josephs KA, Whitwell J, Graff-Radford J. Clinicoradiologic and Neuropathologic Evaluation of Corticobasal Syndrome. Neurology 2023; 101:e289-e299. [PMID: 37268436 PMCID: PMC10382268 DOI: 10.1212/wnl.0000000000207397] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 03/23/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Corticobasal syndrome (CBS) is a clinical phenotype characterized by asymmetric parkinsonism, rigidity, myoclonus, and apraxia. Originally believed secondary to corticobasal degeneration (CBD), mounting clinicopathologic studies have revealed heterogenous neuropathologies. The objectives of this study were to determine the pathologic heterogeneity of CBS, the clinicoradiologic findings associated with different underlying pathologies causing CBS, and the positive predictive value (PPV) of current diagnostic criteria for CBD among patients with a CBS. METHODS Clinical data, brain MRI, and neuropathologic data of patients followed at Mayo Clinic and diagnosed with CBS antemortem were reviewed according to neuropathology category at autopsy. RESULTS The cohort consisted of 113 patients with CBS, 61 (54%) female patients. Mean ± SD disease duration was 7 ± 3.7 years; mean ± SD age at death was 70.5 ± 9.1 years. The primary neuropathologic diagnoses were 43 (38%) CBD, 27 (24%) progressive supranuclear palsy (PSP), 17 (15%) Alzheimer disease (AD), 10 (9%) frontotemporal lobar degeneration (FTLD) with TAR DNA-binding protein 43 (TDP) inclusions, 7 (6%) diffuse Lewy body disease (DLBD)/AD, and 9 (8%) with other diagnoses. Patients with CBS-AD or CBS-DLBD/AD were youngest at death (median [interquartile range]: 64 [13], 64 [11] years) while CBS-PSP were oldest (77 [12.5] years, p = 0.024). Patients with CBS-DLBD/AD had the longest disease duration (9 [6] years), while CBS-other had the shortest (3 [4.25] years, p = 0.04). Posterior cortical signs and myoclonus were more characteristic of patients with CBS-AD and patients with CBS-DLBD/AD. Patients with CBS-DLBD/AD displayed more features of Lewy body dementia. Voxel-based morphometry revealed widespread cortical gray matter loss characteristic of CBS-AD, while CBS-CBD and CBS-PSP predominantly involved premotor regions with greater amount of white matter loss. Patients with CBS-DLBD/AD showed atrophy in a focal parieto-occipital region, and patients with CBS-FTLD-TDP had predominant prefrontal cortical loss. Patients with CBS-PSP had the lowest midbrain/pons ratio (p = 0.012). Of 67 cases meeting clinical criteria for possible CBD at presentation, 27 were pathology-proven CBD, yielding a PPV of 40%. DISCUSSION A variety of neurodegenerative disorders can be identified in patients with CBS, but clinical and regional imaging differences aid in predicting underlying neuropathology. PPV analysis of the current CBD diagnostic criteria revealed suboptimal performance. Biomarkers adequately sensitive and specific for CBD are needed.
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Affiliation(s)
- Dror Shir
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Nha Trang Thu Pham
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Hugo Botha
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Shunsuke Koga
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Naomi Kouri
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Farwa Ali
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - David S Knopman
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Ronald C Petersen
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Brad F Boeve
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Walter K Kremers
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Aivi T Nguyen
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Melissa E Murray
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - R Ross Reichard
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Dennis W Dickson
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Neill Graff-Radford
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL.
| | - Keith Anthony Josephs
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Jennifer Whitwell
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Jonathan Graff-Radford
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL.
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29
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Neylan KD, Miller BL. New Approaches to the Treatment of Frontotemporal Dementia. Neurotherapeutics 2023; 20:1055-1065. [PMID: 37157041 PMCID: PMC10457270 DOI: 10.1007/s13311-023-01380-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2023] [Indexed: 05/10/2023] Open
Abstract
Frontotemporal dementia (FTD) comprises a diverse group of clinical neurodegenerative syndromes characterized by progressive changes in behavior, personality, executive function, language, and motor function. Approximately 20% of FTD cases have a known genetic cause. The three most common genetic mutations causing FTD are discussed. Frontotemporal lobar degeneration refers to the heterogeneous group of neuropathology underlying FTD clinical syndromes. While there are no current disease-modifying treatments for FTD, management includes off-label pharmacotherapy and non-pharmacological approaches to target symptoms. The utility of several different drug classes is discussed. Medications used in the treatment of Alzheimer's disease have no benefit in FTD and can worsen neuropsychiatric symptoms. Non-pharmacological approaches to management include lifestyle modifications, speech-, occupational-, and physical therapy, peer and caregiver support, and safety considerations. Recent developments in the understanding of the genetics, pathophysiology, neuropathology, and neuroimmunology underlying FTD clinical syndromes have expanded possibilities for disease-modifying and symptom-targeted treatments. Different pathogenetic mechanisms are targeted in several active clinical trials, opening up exciting possibilities for breakthrough advances in treatment and management of FTD spectrum disorders.
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Affiliation(s)
- Kyra D Neylan
- University of California San Francisco Memory and Aging Center, San Francisco, USA.
| | - Bruce L Miller
- University of California San Francisco Memory and Aging Center, San Francisco, USA
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30
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Sugimura Y, Baba T, Ezura M, Kikuchi A, Hasegawa T, Nagano I, Suzuki K, Takeda A. A Case of Corticobasal Syndrome and Posterior Cortical Atrophy With Biomarkers of Alzheimer Disease. Alzheimer Dis Assoc Disord 2023; 37:243-245. [PMID: 37561961 DOI: 10.1097/wad.0000000000000560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/05/2023] [Indexed: 08/12/2023]
Abstract
Corticobasal syndrome is a clinical entity characterized by asymmetric akinetic rigidity and a variety of higher cortical dysfunction. Predicting background pathology of corticobasal syndrome is rather challenging; however, clinical and neuroimaging findings may provide a clue to its etiopathological origin. Visuospatial dysfunction of posterior cortical atrophy and logopenic-type language impairment indicate the presence of Alzheimer's disease-related pathology, and they provide useful information in distinguishing Alzheimer's disease from other types of corticobasal syndrome. Here we describe a case of corticobasal syndrome who showed characteristic visuospatial symptoms with imaging evidence of Alzheimer's disease supported by amyloid-PET and tau/astrogliosis-PET. Early, accurate diagnosis based on clinical features and predictable biomarkers is mandatory to the success of early intervention in corticobasal syndrome associated with Alzheimer's disease.
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Affiliation(s)
- Yoko Sugimura
- Department of Neurology, National Hospital Organization Sendai Nishitaga Hospital
- Department of Cognitive & Motor Aging, Tohoku University Graduate School of Medicine
| | - Toru Baba
- Department of Neurology, National Hospital Organization Sendai Nishitaga Hospital
| | - Michinori Ezura
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Akio Kikuchi
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Occupational Therapy, Yamagata Prefectural University of Health Sciences, Yamagata, Japan
| | - Takafumi Hasegawa
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Isao Nagano
- Department of Neurology, National Hospital Organization Miyagi Hospital, Watari-gun, Miyagi, Japan
| | - Kyoko Suzuki
- Department of Behavioral Neurology and Cognitive Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Atsushi Takeda
- Department of Neurology, National Hospital Organization Sendai Nishitaga Hospital
- Department of Cognitive & Motor Aging, Tohoku University Graduate School of Medicine
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31
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Constantinides VC, Tentolouris-Piperas V, Paraskevas GP, Pyrgelis ES, Velonakis G, Karavasilis E, Toulas P, Boufidou F, Stefanis L, Kapaki E. Hippocampal subfield volumetry in corticobasal syndrome of diverse underlying pathologies. J Neurol 2023; 270:2059-2068. [PMID: 36565349 DOI: 10.1007/s00415-022-11538-5] [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: 11/13/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Multiple pathologies may underlie corticobasal syndrome (CBS), including Alzheimer's disease (AD). Typical amnestic AD is characterized by early selective hippocampal atrophy. The profile of hippocampal atrophy in AD patients presenting as CBS (CBS-AD), compared to CBS patients of non-AD pathologies (CBS-nAD) and amnestic AD patients, has not been studied. OBJECTIVES To compare hippocampal subfield atrophy patterns between CBS-AD, CBS-nAD, typical amnestic AD patients, and control subjects. METHODS Automated hippocampal subfield volumetry was performed via the hippocampal subfield segmentation pipeline of Freesurfer 6.0 on 3D T1-weighted images. CBS patients were classified as CBS-AD or CBS-nAD based on CSF AD biomarkers by applying the AT(N) classification system. Mean volumes of nine hippocampal subfields, head-body-tail segments, total hippocampus, and entorhinal and parahippocampal gyrus cortical thickness were measured. RESULTS Eighty-three subjects were included (CBS-AD: n = 14; CBS-nAD: n = 17; amnestic AD: n = 29; controls: n = 23). CBS-AD patients had greater whole hippocampal and hippocampal subfield atrophy compared to CBS-nAD. CBS-AD and amnestic AD patients did not differ in subfield volumes. CBS-nAD did not exhibit hippocampal atrophy compared to controls, with the exception of fimbria. (Cohen's d = 1.27; p = 0.038). Presubiculum (Cohen's d = 1.00; p = 0.002) and hippocampal body (Cohen's d = 0.95; p = 0.001) volumes exhibited the greatest differences between CBS-AD and CBS-nAD. Hippocampal subfield volume provided combined sensitivity and specificity < 80% for the discrimination of CBS-AD from CBS-nAD. CONCLUSION CBS-AD and amnestic AD patients exhibit comparable, and significantly greater hippocampal atrophy compared to CBS-nAD patients. Hippocampal subfield volumetry in CBS is indicative of an AD underlying pathology.
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Affiliation(s)
- Vasilios C Constantinides
- First Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, 72-74 Vas. Sophias Ave., 11528, Athens, Greece.
| | - Vasileios Tentolouris-Piperas
- First Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, 72-74 Vas. Sophias Ave., 11528, Athens, Greece
| | - George P Paraskevas
- First Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, 72-74 Vas. Sophias Ave., 11528, Athens, Greece
- Second Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Attikon Hospital, Athens, Greece
| | - Efstratios-Stylianos Pyrgelis
- First Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, 72-74 Vas. Sophias Ave., 11528, Athens, Greece
| | - Georgios Velonakis
- Second Department of Radiology, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Efstratios Karavasilis
- Second Department of Radiology, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Panagiotis Toulas
- Second Department of Radiology, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Fotini Boufidou
- First Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, 72-74 Vas. Sophias Ave., 11528, Athens, Greece
| | - Leonidas Stefanis
- First Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, 72-74 Vas. Sophias Ave., 11528, Athens, Greece
| | - Elisabeth Kapaki
- First Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, 72-74 Vas. Sophias Ave., 11528, Athens, Greece
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32
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Samra K, MacDougall AM, Peakman G, Bouzigues A, Bocchetta M, Cash DM, Greaves CV, Convery RS, van Swieten JC, Jiskoot L, Seelaar H, Moreno F, Sanchez-Valle R, Laforce R, Graff C, Masellis M, Tartaglia C, Rowe JB, Borroni B, Finger E, Synofzik M, Galimberti D, Vandenberghe R, de Mendonça A, Butler CR, Gerhard A, Ducharme S, Le Ber I, Tiraboschi P, Santana I, Pasquier F, Levin J, Otto M, Sorbi S, Rohrer JD, Russell LL. Motor symptoms in genetic frontotemporal dementia: developing a new module for clinical rating scales. J Neurol 2023; 270:1466-1477. [PMID: 36385202 PMCID: PMC9971048 DOI: 10.1007/s00415-022-11442-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To investigate the optimal method of adding motor features to a clinical rating scale for frontotemporal dementia (FTD). METHODS Eight hundred and thirty-two participants from the international multicentre Genetic FTD Initiative (GENFI) study were recruited: 522 mutation carriers (with C9orf72, GRN and MAPT mutations) and 310 mutation-negative controls. A standardised clinical questionnaire was used to assess eight motor symptoms (dysarthria, dysphagia, tremor, slowness, weakness, gait disorder, falls and functional difficulties using hands). Frequency and severity of each motor symptom was assessed, and a principal component analysis (PCA) was performed to identify how the different motor symptoms loaded together. Finally, addition of a motor component to the CDR® plus NACC FTLD was investigated (CDR® plus NACC FTLD-M). RESULTS 24.3% of mutation carriers had motor symptoms (31.7% C9orf72, 18.8% GRN, 19.3% MAPT) compared to 6.8% of controls. Slowness and gait disorder were the commonest in all genetic groups while tremor and falls were the least frequent. Symptom severity scores were similar to equivalent physical motor examination scores. PCA revealed that all motor symptoms loaded together so a single additional motor component was added to the CDR® plus NACC FTLD to form the CDR® plus NACC FTLD-M. Individual global scores were more severe with the CDR® plus NACC FTLD-M, and no patients with a clinically diagnosed motor disorder (ALS/FTD-ALS or parkinsonism) were classified anymore as asymptomatic (unlike the CDR® plus NACC FTLD alone). CONCLUSIONS Motor features are present in mutation carriers at all disease stages across all three genetic groups. Inclusion of motor symptoms in a rating scale that can be used in future clinical trials will not only ensure a more accurate severity measure is recorded but that a wider spectrum of FTD phenotypes can be included in the same trial.
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Affiliation(s)
- Kiran Samra
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
| | - Amy M MacDougall
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Georgia Peakman
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Arabella Bouzigues
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Caroline V Greaves
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Rhian S Convery
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | | | - Lize Jiskoot
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Harro Seelaar
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia Universitary Hospital, San Sebastian, Spain
- Neuroscience Area, Biodonostia Health Research Institute, Gipuzkoa, San Sebastian, Spain
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, Quebec City, Quebec, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Solna, Sweden
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Daniela Galimberti
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy
- University of Milan, Centro Dino Ferrari, Milan, Italy
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Neurology Service, University Hospitals Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Alexandre de Mendonça
- Laboratory of Neurosciences, Institute of Molecular Medicine, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
- Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg-Essen, Essen, Germany
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Isabelle Le Ber
- Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, AP-HP-Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris, France
- Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP-Hôpital Pitié-Salpêtrière, Paris, France
- Département de Neurologie, AP-HP-Hôpital Pitié-Salpêtrière, Paris, France
- Reference Network for Rare Neurological Diseases (ERN-RND), Paris, France
| | | | - Isabel Santana
- Neurology Service, Faculty of Medicine, University Hospital of Coimbra (HUC), University of Coimbra, Coimbra, Portugal
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Florence Pasquier
- Univ Lille, Lille, France
- Inserm 1172, Lille, France
- CHU, CNR-MAJ, Labex DistalzLiCEND Lille, Lille, France
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
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Constantinides VC, Paraskevas GP, Boufidou F, Bourbouli M, Pyrgelis ES, Stefanis L, Kapaki E. CSF Aβ42 and Aβ42/Aβ40 Ratio in Alzheimer's Disease and Frontotemporal Dementias. Diagnostics (Basel) 2023; 13:diagnostics13040783. [PMID: 36832271 PMCID: PMC9955886 DOI: 10.3390/diagnostics13040783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Alzheimer's disease dementia (ADD) may manifest with atypical phenotypes, resembling behavioral variant frontotemporal dementia (bvFTD) and corticobasal syndrome (CBS), phenotypes which typically have an underlying frontotemporal lobar degeneration with tau proteinopathy (FTLD-tau), such as Pick's disease, corticobasal degeneration (CBD), progressive supranuclear palsy (PSP), or FTLD with TDP-43 proteinopathy (FTLD-TDP). CSF biomarkers total and phosphorylated tau (τT and τP-181), and amyloid beta with 42 and 40 amino acids (Aβ42 and Aβ40) are biomarkers of AD pathology. The primary aim of this study was to compare the diagnostic accuracy of Aβ42 to Aβ42/Aβ40 ratio in: (a) differentiating ADD vs. frontotemporal dementias; (b) patients with AD pathology vs. non-AD pathologies; (c) compare biomarker ratios and composite markers to single CSF biomarkers in the differentiation of AD from FTD; Methods: In total, 263 subjects were included (ADD: n = 98; bvFTD: n = 49; PSP: n = 50; CBD: n = 45; controls: n = 21). CSF biomarkers were measured by commercially available ELISAs (EUROIMMUN). Multiple biomarker ratios (Aβ42/Aβ40; τT/τP-181; τT/Aβ42; τP-181/Aβ42) and composite markers (t-tau: τT/(Aβ42/Aβ40); p-tau: τP-181/(Aβ42/Aβ40) were calculated. ROC curve analysis was performed to compare AUCs of Aβ42 and Aβ42/Aβ40 ratio and relevant composite markers between ADD and FTD, as defined clinically. BIOMARKAPD/ABSI criteria (abnormal τT, τP-181 Aβ42, and Aβ42/Aβ40 ratio) were used to re-classify all patients into AD pathology vs. non-AD pathologies, and ROC curve analysis was repeated to compare Aβ42 and Aβ42/Aβ40; Results: Aβ42 did not differ from Aβ42/Aβ40 ratio in the differentiation of ADD from FTD (AUCs 0.752 and 0.788 respectively; p = 0.212). The τT/Aβ42 ratio provided maximal discrimination between ADD and FTD (AUC:0.893; sensitivity 88.8%, specificity 80%). BIOMARKAPD/ABSI criteria classified 60 patients as having AD pathology and 211 as non-AD. A total of 22 had discrepant results and were excluded. Aβ42/Aβ40 ratio was superior to Aβ42 in the differentiation of AD pathology from non-AD pathology (AUCs: 0.939 and 0.831, respectively; p < 0.001). In general, biomarker ratios and composite markers were superior to single CSF biomarkers in both analyses. CONCLUSIONS Aβ42/Aβ40 ratio is superior to Aβ42 in identifying AD pathology, irrespective of the clinical phenotype. CSF biomarker ratios and composite markers provide higher diagnostic accuracy compared to single CSF biomarkers.
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Affiliation(s)
- Vasilios C. Constantinides
- First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
- Neurochemistry and Biological Markers Unit, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
- Correspondence: ; Tel.: +30-21-0728-9285
| | - George P. Paraskevas
- Neurochemistry and Biological Markers Unit, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
- Second Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” University General Hospital, Rimini 1, 12462 Athens, Greece
| | - Fotini Boufidou
- Neurochemistry and Biological Markers Unit, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
| | - Mara Bourbouli
- Neurochemistry and Biological Markers Unit, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
| | - Efstratios-Stylianos Pyrgelis
- First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
| | - Leonidas Stefanis
- First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
| | - Elisabeth Kapaki
- First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
- Neurochemistry and Biological Markers Unit, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
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34
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Ishihara K, Fukui T, Kawamura M, Shiota JI, Nakano I. Symptomatology and Neuropathology of patients presenting with focal cortical signs. Neuropathology 2023; 43:27-43. [PMID: 36328774 DOI: 10.1111/neup.12854] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/05/2022] [Accepted: 07/10/2022] [Indexed: 11/06/2022]
Abstract
Here, we describe two patients who presented with focal cortical signs and underwent neuropathological examination. Case 1 was a 73-year-old woman with progressive speech disorder and abnormal behavior. She showed agraphia of the frontal lobe type, featured by the omission of kana letters when writing, other than pyramidal tract signs, pseudobulbar palsy, and frontal lobe dementia. Neuropathological examination, including TAR DNA-binding protein 43 (TDP-43) immunohistochemistry, revealed bilateral frontal and anterior temporal lobe lesions accentuated in the precentral gyrus and posterior part of the middle frontal gyrus. Both upper and lower motor neurons showed pathological changes compatible with amyotrophic lateral sclerosis. Case 2 was a 62-year-old man with progressive speech disorder and hand clumsiness. He had a motor speech disorder, compatible with apraxia of speech, and limb apraxia of the limb-kinetic and ideomotor type. Neuropathological examination revealed degeneration in the left frontal lobe, including the precentral gyrus, anterior temporal, and parietal lobe cortices. Moreover, numerous argyrophilic neuronal intracytoplasmic inclusions (Pick body) and ballooned neurons were observed in these lesions and the limbic system. The pathological diagnosis was Pick disease involving the peri-Rolandic area and parietal lobe. In these two cases, the distribution of neuropathological changes in the cerebral cortices correlated with the clinical symptoms observed.
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Affiliation(s)
- Kenji Ishihara
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan.,Asahi Hospital of Neurology and Rehabilitation, Chiba, Japan
| | - Toshiya Fukui
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan.,Kawasaki Memorial Hospital, Kawasaki, Japan
| | - Mitsuru Kawamura
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan.,Okusawa Hospital, Tokyo, Japan
| | - Jun-Ichi Shiota
- Department of Neurology, Showa University School of Medicine, Tokyo, Japan.,Ushioda Home Clinic, Yokohama, Japan
| | - Imaharu Nakano
- Department of Neurology, Jichi Medical University, Tochigi, Japan
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35
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Loftus JR, Puri S, Meyers SP. Multimodality imaging of neurodegenerative disorders with a focus on multiparametric magnetic resonance and molecular imaging. Insights Imaging 2023; 14:8. [PMID: 36645560 PMCID: PMC9842851 DOI: 10.1186/s13244-022-01358-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/13/2022] [Indexed: 01/17/2023] Open
Abstract
Neurodegenerative diseases afflict a large number of persons worldwide, with the prevalence and incidence of dementia rapidly increasing. Despite their prevalence, clinical diagnosis of dementia syndromes remains imperfect with limited specificity. Conventional structural-based imaging techniques also lack the accuracy necessary for confident diagnosis. Multiparametric magnetic resonance imaging and molecular imaging provide the promise of improving specificity and sensitivity in the diagnosis of neurodegenerative disease as well as therapeutic monitoring of monoclonal antibody therapy. This educational review will briefly focus on the epidemiology, clinical presentation, and pathologic findings of common and uncommon neurodegenerative diseases. Imaging features of each disease spanning from conventional magnetic resonance sequences to advanced multiparametric methods such as resting-state functional magnetic resonance imaging and arterial spin labeling imaging will be described in detail. Additionally, the review will explore the findings of each diagnosis on molecular imaging including single-photon emission computed tomography and positron emission tomography with a variety of clinically used and experimental radiotracers. The literature and clinical cases provided demonstrate the power of advanced magnetic resonance imaging and molecular techniques in the diagnosis of neurodegenerative diseases and areas of future and ongoing research. With the advent of combined positron emission tomography/magnetic resonance imaging scanners, hybrid protocols utilizing both techniques are an attractive option for improving the evaluation of neurodegenerative diseases.
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Affiliation(s)
- James Ryan Loftus
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
| | - Savita Puri
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
| | - Steven P. Meyers
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
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36
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Journe‐Mallet I, Gouju J, Etcharry‐Bouyx F, Chauvire V, Guillet‐Pichon V, Scherer‐Gagou C, Prundean A, Godard S, Lecluse A, Cassereau J, Verny C, Letournel F, Codron P. Design and application of a customizable relational
DataBase
to assess clinicopathological correlations and concomitant pathology in neurodegenerative diseases. Brain Pathol 2022; 33:e13138. [PMID: 36536531 PMCID: PMC10154372 DOI: 10.1111/bpa.13138] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
The diagnosis of neurodegenerative diseases is made complex by the heterogenous phenotype of the patients and the regular occurrence of concomitant pathology. Studying clinicopathological correlations in autopsy series is a central approach to improve pathological prediction in clinical practice. However, such method requires a wealth of information, and the use of standard spreadsheet software is hardly suitable. To overcome this constraint, we designed a customizable and freely available neuropathology form with 456 data entry fields driven by an open-source DataBase Management Systems (DBMS) using Structured Query Language (SQL). This approach allowed us to optimize the compilation of clinical and pathological data from our brain collection (264 autopsied patients, 22,885 data points). Information was then easily retrieved using general and specific queries, facilitating the analysis of demographics, clinicopathological correlations, and incidental and concomitant proteinopathies. Tau, amyloid-β and α-synuclein incidental pathology was observed in respectively 78.1%, 42.8%, and 10.7% of all the patients. These proportions increased with age, reaching 100% for Tau pathology after 80. Concomitant proteinopathy was observed in 46.4% of the patients diagnosed with neurodegenerative diseases and prion disease. We observed a particularly high rate of co-pathology in patients with Dementia with Lewy bodies (81.3% of associated Tau and amyloid-β pathology) and Creutzfeldt-Jakob disease (68.4% of associated Tau pathology). Finally, we used specific queries to identify old cases that could meet newly defined neuropathological criteria and revised the diagnosis of a 90-year-old patient to LATE Stage 2. Increasing our understanding of clinicopathological correlations in neurodegenerative diseases is crucial given the implications in clinical diagnosis, biomarker identification and targeted therapies assessment. The precise characterization of clinical and pathological data of autopsy series remains a central approach but the large amount of generated data should encourage a more systematic use of DBMS.
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Affiliation(s)
- Isabelle Journe‐Mallet
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | - Julien Gouju
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | | | - Valérie Chauvire
- Centre mémoire de ressource et de recherche Centre Hospitalier Universitaire d'Angers Angers France
| | - Virginie Guillet‐Pichon
- Centre mémoire de ressource et de recherche Centre Hospitalier Universitaire d'Angers Angers France
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
| | - Clarisse Scherer‐Gagou
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
| | - Adriana Prundean
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
| | - Sophie Godard
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
| | - Aldéric Lecluse
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
| | - Julien Cassereau
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
- Centre de référence des maladies neuromusculaires AOC Centre Hospitalier Universitaire d'Angers Angers France
- Centre de ressources et de compétences sur la SLA Centre Hospitalier Universitaire d'Angers Angers France
| | - Christophe Verny
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
| | - Franck Letournel
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | - Philippe Codron
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
- Centre de référence des maladies neuromusculaires AOC Centre Hospitalier Universitaire d'Angers Angers France
- Centre de ressources et de compétences sur la SLA Centre Hospitalier Universitaire d'Angers Angers France
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37
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de Almeida IJ, Silagi ML, Carthery-Goulart MT, Parmera JB, Cecchini MA, Coutinho AM, Dozzi Brucki SM, Nitrini R, Schochat E. The Discourse Profile in Corticobasal Syndrome: A Comprehensive Clinical and Biomarker Approach. Brain Sci 2022; 12:brainsci12121705. [PMID: 36552165 PMCID: PMC9775929 DOI: 10.3390/brainsci12121705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/07/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
The aim of this study was to characterize the oral discourse of CBS patients and to verify whether measures obtained during a semi-spontaneous speech production could differentiate CBS patients from controls. A second goal was to compare the performance of patients with CBS probably due to Alzheimer's disease (CBS-AD) pathology and CBS not related to AD (CBS-non-AD) in the same measures, based on the brain metabolic status (FDG-PET) and in the presence of amyloid deposition (amyloid-PET). Results showed that CBS patients were significantly different from controls in speech rate, lexical level, informativeness, and syntactic complexity. Discursive measures did not differentiate CBS-AD from CBS-non-AD. However, CBS-AD displayed more lexical-semantic impairments than controls, a profile that is frequently reported in patients with clinical AD and the logopenic variant of primary progressive aphasia (lvPPA). CBS-non-AD presented mainly with impairments related to motor speech disorders and syntactic complexity, as seen in the non-fluent variant of PPA.
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Affiliation(s)
- Isabel Junqueira de Almeida
- Department of Physical Therapy, Speech, and Occupational Therapy, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 05360-160, Brazil
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Correspondence: (I.J.d.A.); (M.T.C.-G.)
| | - Marcela Lima Silagi
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Department of Speech, Language and Hearing Sciences, Universidade Federal de São Paulo, São Paulo 04023-062, Brazil
| | - Maria Teresa Carthery-Goulart
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Mathematics, Computing and Cognition Center (CMCC), Federal University of ABC (UFABC), Santo André 09210-580, Brazil
- INCT-ECCE (Instituto Nacional de Ciência e Tecnologia sobre Comportamento, Cognição e Ensino), São Carlos 13565-905, Brazil
- Correspondence: (I.J.d.A.); (M.T.C.-G.)
| | - Jacy Bezerra Parmera
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 01246-903, Brazil
| | - Mario Amore Cecchini
- Human Cognitive Neuroscience, Psychology Department, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Artur Martins Coutinho
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Laboratory of Nuclear Medicine (LIM-43), Nuclear Medicine Center and Division, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 01246-903, Brazil
| | - Sonia Maria Dozzi Brucki
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 01246-903, Brazil
| | - Ricardo Nitrini
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 01246-903, Brazil
| | - Eliane Schochat
- Department of Physical Therapy, Speech, and Occupational Therapy, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 05360-160, Brazil
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38
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Arezoumandan S, Xie SX, Cousins KAQ, Mechanic-Hamilton DJ, Peterson CS, Huang CY, Ohm DT, Ittyerah R, McMillan CT, Wolk DA, Yushkevich P, Trojanowski JQ, Lee EB, Grossman M, Phillips JS, Irwin DJ. Regional distribution and maturation of tau pathology among phenotypic variants of Alzheimer's disease. Acta Neuropathol 2022; 144:1103-1116. [PMID: 35871112 PMCID: PMC9936795 DOI: 10.1007/s00401-022-02472-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/02/2022] [Accepted: 07/14/2022] [Indexed: 01/26/2023]
Abstract
Alzheimer's disease neuropathologic change (ADNC) is clinically heterogenous and can present with a classic multidomain amnestic syndrome or focal non-amnestic syndromes. Here, we investigated the distribution and burden of phosphorylated and C-terminally cleaved tau pathologies across hippocampal subfields and cortical regions among phenotypic variants of Alzheimer's disease (AD). In this study, autopsy-confirmed patients with ADNC, were classified into amnestic (aAD, N = 40) and non-amnestic (naAD, N = 39) groups based on clinical criteria. We performed digital assessment of tissue sections immunostained for phosphorylated-tau (AT8 detects pretangles and mature tangles), D421-truncated tau (TauC3, a marker for mature tangles and ghost tangles), and E391-truncated tau (MN423, a marker that primarily detects ghost tangles), in hippocampal subfields and three cortical regions. Linear mixed-effect models were used to test regional and group differences while adjusting for demographics. Both groups showed AT8-reactivity across hippocampal subfields that mirrored traditional Braak staging with higher burden of phosphorylated-tau in subregions implicated as affected early in Braak staging. The burden of phosphorylated-tau and TauC3-immunoreactive tau in the hippocampus was largely similar between the aAD and naAD groups. In contrast, the naAD group had lower relative distribution of MN423-reactive tangles in CA1 (β = - 0.2, SE = 0.09, p = 0.001) and CA2 (β = - 0.25, SE = 0.09, p = 0.005) compared to the aAD. While the two groups had similar levels of phosphorylated-tau pathology in cortical regions, there was higher burden of TauC3 reactivity in sup/mid temporal cortex (β = 0.16, SE = 0.07, p = 0.02) and MN423 reactivity in all cortical regions (β = 0.4-0.43, SE = 0.09, p < 0.001) in the naAD compared to aAD. In conclusion, AD clinical variants may have a signature distribution of overall phosphorylated-tau pathology within the hippocampus reflecting traditional Braak staging; however, non-amnestic AD has greater relative mature tangle pathology in the neocortex compared to patients with clinical amnestic AD, where the hippocampus had greatest relative burden of C-terminally cleaved tau reactivity. Thus, varying neuronal susceptibility to tau-mediated neurodegeneration may influence the clinical expression of ADNC.
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Affiliation(s)
- Sanaz Arezoumandan
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Katheryn A Q Cousins
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Dawn J Mechanic-Hamilton
- Department of Neurology, Penn Memory Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Claire S Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Camille Y Huang
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Ranjit Ittyerah
- Penn Image Computing and Science Lab, Department of Radiology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - David A Wolk
- Department of Neurology, Penn Memory Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Paul Yushkevich
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Penn Image Computing and Science Lab, Department of Radiology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - John Q Trojanowski
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Jeffrey S Phillips
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
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39
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Coughlin DG, Hiniker A, Peterson C, Kim Y, Arezoumandan S, Giannini L, Pizzo D, Weintraub D, Siderowf A, Litvan I, Rissman RA, Galasko D, Hansen L, Trojanowski JQ, Lee E, Grossman M, Irwin D. Digital Histological Study of Neocortical Grey and White Matter Tau Burden Across Tauopathies. J Neuropathol Exp Neurol 2022; 81:953-964. [PMID: 36269086 PMCID: PMC9677241 DOI: 10.1093/jnen/nlac094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
3R/4R-tau species are found in Alzheimer disease (AD) and ∼50% of Lewy body dementias at autopsy (LBD+tau); 4R-tau accumulations are found in progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). Digital image analysis techniques can elucidate patterns of tau pathology more precisely than traditional methods but repeatability across centers is unclear. We calculated regional percentage areas occupied by tau pathological inclusions from the middle frontal cortex (MFC), superior temporal cortex (STC), and angular gyrus (ANG) from cases from the University of Pennsylvania and the University of California San Diego with AD, LBD+tau, PSP, or CBD (n = 150) using QuPath. In both cohorts, AD and LBD+tau had the highest grey and white matter tau burden in the STC (p ≤ 0.04). White matter tau burden was relatively higher in 4R-tauopathies than 3R/4R-tauopathies (p < 0.003). Grey and white matter tau were correlated in all diseases (R2=0.43-0.79, p < 0.04) with the greatest increase of white matter per unit grey matter tau observed in PSP (p < 0.02 both cohorts). Grey matter tau negatively correlated with MMSE in AD and LBD+tau (r = -4.4 to -5.4, p ≤ 0.02). These data demonstrate the feasibility of cross-institutional digital histology studies that generate finely grained measurements of pathology which can be used to support biomarker development and models of disease progression.
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Affiliation(s)
- David G Coughlin
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Annie Hiniker
- Department of Pathology, University of California San Diego, La Jolla, California, USA
| | - Claire Peterson
- Digital Neuropathology Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yongya Kim
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Sanaz Arezoumandan
- Digital Neuropathology Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lucia Giannini
- Digital Neuropathology Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurology, Erasmus University Medical Center, Alzheimer Center, Rotterdam, The Netherlands
| | - Donald Pizzo
- Center for Advanced Laboratory Medicine, University of California San Diego, La Jolla, California, USA
| | - Daniel Weintraub
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Irene Litvan
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Robert A Rissman
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Douglas Galasko
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Lawrence Hansen
- Department of Pathology, University of California San Diego, La Jolla, California, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Edward Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David Irwin
- Digital Neuropathology Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Radiological assessment of dementia: the Italian inter-society consensus for a practical and clinically oriented guide to image acquisition, evaluation, and reporting. Radiol Med 2022; 127:998-1022. [PMID: 36070064 PMCID: PMC9508052 DOI: 10.1007/s11547-022-01534-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 07/25/2022] [Indexed: 11/09/2022]
Abstract
Background Radiological evaluation of dementia is expected to increase more and more in routine practice due to both the primary role of neuroimaging in the diagnostic pathway and the increasing incidence of the disease. Despite this, radiologists often do not follow a disease-oriented approach to image interpretation, for several reasons, leading to reports of limited value to clinicians. In our work, through an intersocietal consensus on the main mandatory knowledge about dementia, we proposed a disease-oriented protocol to optimize and standardize the acquisition/evaluation/interpretation and reporting of radiological images. Our main purpose is to provide a practical guideline for the radiologist to help increase the effectiveness of interdisciplinary dialogue and diagnostic accuracy in daily practice. Results We defined key clinical and imaging features of the dementias (A), recommended MRI protocol (B), proposed a disease-oriented imaging evaluation and interpretation (C) and report (D) with a glimpse to future avenues (E). The proposed radiological practice is to systematically evaluate and score atrophy, white matter changes, microbleeds, small vessel disease, consider the use of quantitative measures using commercial software tools critically, and adopt a structured disease-oriented report. Summary statement In the expanding field of cognitive disorders, the only effective assessment approach is the standardized disease-oriented one, which includes a multidisciplinary integration of the clinical picture, MRI, CSF and blood biomarkers and nuclear medicine. Supplementary Information The online version contains supplementary material available at 10.1007/s11547-022-01534-0.
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GC-CNNnet: Diagnosis of Alzheimer’s Disease with PET Images Using Genetic and Convolutional Neural Network. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:7413081. [PMID: 35983158 PMCID: PMC9381254 DOI: 10.1155/2022/7413081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 06/01/2022] [Accepted: 06/10/2022] [Indexed: 11/17/2022]
Abstract
There is a wide variety of effects of Alzheimer's disease (AD), a neurodegenerative disease that can lead to cognitive decline, deterioration of daily life, and behavioral and psychological changes. A polymorphism of the ApoE gene ε 4 is considered a genetic risk factor for Alzheimer's disease. The purpose of this paper is to demonstrate that single-nucleotide polymorphic markers (SNPs) have a causal relationship with quantitative PET imaging traits. Additionally, the classification of AD is based on the frequency of brain tissue variations in PET images using a combination of k-nearest-neighbor (KNN), support vector machine (SVM), linear discrimination analysis (LDA), and convolutional neural network (CNN) techniques. According to the results, the suggested SNPs appear to be associated with quantitative traits more strongly than the SNPs in the ApoE genes. Regarding the classification result, the highest accuracy is obtained by the CNN with 91.1%. These results indicate that the KNN and CNN methods are beneficial in diagnosing AD. Nevertheless, the LDA and SVM are demonstrated with a lower level of accuracy.
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García AM, Welch AE, Mandelli ML, Henry ML, Lukic S, Torres Prioris MJ, Deleon J, Ratnasiri BM, Lorca-Puls DL, Miller BL, Seeley W, Vogel AP, Gorno-Tempini ML. Automated Detection of Speech Timing Alterations in Autopsy-Confirmed Nonfluent/Agrammatic Variant Primary Progressive Aphasia. Neurology 2022; 99:e500-e511. [PMID: 35914945 PMCID: PMC9421598 DOI: 10.1212/wnl.0000000000200750] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 04/04/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Motor speech function, including speech timing, is a key domain for diagnosing nonfluent/agrammatic variant primary progressive aphasia (nfvPPA). Yet, standard assessments use subjective, specialist-dependent evaluations, undermining reliability and scalability. Moreover, few studies have examined relevant anatomo-clinical alterations in patients with pathologically confirmed diagnoses. This study overcomes such caveats using automated speech timing analyses in a unique cohort of autopsy-proven cases. METHODS In a cross-sectional study, we administered an overt reading task and quantified articulation rate, mean syllable and pause duration, and syllable and pause duration variability. Neuroanatomical disruptions were assessed using cortical thickness and white matter (WM) atrophy analysis. RESULTS We evaluated 22 persons with nfvPPA (mean age: 67.3 years; 13 female patients) and confirmed underlying 4-repeat tauopathy, 15 persons with semantic variant primary progressive aphasia (svPPA; mean age: 66.5 years; 8 female patients), and 10 healthy controls (HCs; 70 years; 5 female patients). All 5 speech timing measures revealed alterations in persons with nfvPPA relative to both the HC and svPPA groups, controlling for dementia severity. The articulation rate robustly discriminated individuals with nfvPPA from HCs (area under the ROC curve [AUC] = 0.95), outperforming specialist-dependent perceptual measures of dysarthria and apraxia of speech severity. Patients with nfvPPA exhibited structural abnormalities in left precentral and middle frontal as well as bilateral superior frontal regions, including their underlying WM. The articulation rate correlated with atrophy of the left pars opercularis and supplementary/presupplementary motor areas. Secondary analyses showed that, controlling for dementia severity, all measures yielded greater deficits in patients with nfvPPA and corticobasal degeneration (nfvPPA-CBD, n = 12) than in those with progressive supranuclear palsy pathology (nfvPPA-PSP, n = 10). The articulation rate robustly discriminated between individuals in each subgroup (AUC = 0.82). More widespread cortical thinning was observed for the nfvPPA-CBD than the nfvPPA-PSP group across frontal regions. DISCUSSION Automated speech timing analyses can capture specific markers of nfvPPA while potentially discriminating between patients with different tauopathies. Thanks to its objectivity and scalability; this approach could support standard speech assessments. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that automated speech analysis can accurately differentiate patients with nonfluent PPA from normal controls and patients with semantic variant PPA.
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Affiliation(s)
- Adolfo M García
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Ariane E Welch
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Maria Luisa Mandelli
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Maya L Henry
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Sladjana Lukic
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - María José Torres Prioris
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Jessica Deleon
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Buddhika M Ratnasiri
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Diego L Lorca-Puls
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Bruce L Miller
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - William Seeley
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Adam P Vogel
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia
| | - Maria Luisa Gorno-Tempini
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology, University of California, San Francisco; Department of Communication Sciences and Disorders (M.L.H.), University of Texas at Austin; Department of Communication Sciences and Disorders (S.L.), Adelphi University, Garden City, NY; Cognitive Neurology and Aphasia Unit (M.J.T.P.), Centro de Investigaciones Médico-Sanitarias (M.J.T.P.), University of Malaga; Instituto de Investigación Biomédica de Málaga - IBIMA (M.J.T.P.), Malaga; Area of Psychobiology (M.J.T.P.), Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain; Sección Neurología (D.L.L.P.), Departamento de Especialidades, Facultad de Medicina, Universidad de Concepción, Chile; Centre for Neuroscience of Speech (A.P.V.), Department of Audiology & Speech Pathology, The University of Melbourne; and Redenlab (A.P.V.), Melbourne, Australia.
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Olfati N, Shoeibi A, Litvan I. Clinical Spectrum of Tauopathies. Front Neurol 2022; 13:944806. [PMID: 35911892 PMCID: PMC9329580 DOI: 10.3389/fneur.2022.944806] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 06/20/2022] [Indexed: 11/20/2022] Open
Abstract
Tauopathies are both clinical and pathological heterogeneous disorders characterized by neuronal and/or glial accumulation of misfolded tau protein. It is now well understood that every pathologic tauopathy may present with various clinical phenotypes based on the primary site of involvement and the spread and distribution of the pathology in the nervous system making clinicopathological correlation more and more challenging. The clinical spectrum of tauopathies includes syndromes with a strong association with an underlying primary tauopathy, including Richardson syndrome (RS), corticobasal syndrome (CBS), non-fluent agrammatic primary progressive aphasia (nfaPPA)/apraxia of speech, pure akinesia with gait freezing (PAGF), and behavioral variant frontotemporal dementia (bvFTD), or weak association with an underlying primary tauopathy, including Parkinsonian syndrome, late-onset cerebellar ataxia, primary lateral sclerosis, semantic variant PPA (svPPA), and amnestic syndrome. Here, we discuss clinical syndromes associated with various primary tauopathies and their distinguishing clinical features and new biomarkers becoming available to improve in vivo diagnosis. Although the typical phenotypic clinical presentations lead us to suspect specific underlying pathologies, it is still challenging to differentiate pathology accurately based on clinical findings due to large phenotypic overlaps. Larger pathology-confirmed studies to validate the use of different biomarkers and prospective longitudinal cohorts evaluating detailed clinical, biofluid, and imaging protocols in subjects presenting with heterogenous phenotypes reflecting a variety of suspected underlying pathologies are fundamental for a better understanding of the clinicopathological correlations.
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Affiliation(s)
- Nahid Olfati
- Department of Neurology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- UC San Diego Department of Neurosciences, Parkinson and Other Movement Disorder Center, San Diego, CA, United States
| | - Ali Shoeibi
- Department of Neurology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Irene Litvan
- UC San Diego Department of Neurosciences, Parkinson and Other Movement Disorder Center, San Diego, CA, United States
- *Correspondence: Irene Litvan
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Degenerative dementias: a question of syndrome or disease? NEUROLOGÍA (ENGLISH EDITION) 2022; 37:480-491. [DOI: 10.1016/j.nrleng.2019.03.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 03/07/2019] [Indexed: 11/20/2022] Open
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Robles Bayón A. Degenerative dementias: A question of syndrome or disease? Neurologia 2022; 37:480-491. [PMID: 31331676 DOI: 10.1016/j.nrl.2019.03.016] [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: 01/04/2019] [Accepted: 03/07/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Neurologists refer to numerous "syndromes,‿ consisting of specific combinations of clinical manifestations, following a specific progression pattern, and with the support of blood analysis (without genomic-proteomic parameters) and neuroimaging findings (MRI, CT, perfusion SPECT, or 18F-FDG-PET scans). Neurodegenerative "diseases,‿ on the other hand, are defined by specific combinations of clinical signs and histopathological findings; these must be confirmed by a clinical examination and a histology study or evidence of markers of a specific disorder for the diagnosis to be made. However, we currently know that most genetic and histopathological alterations can result in diverse syndromes. The genetic or histopathological aetiology of each syndrome is also heterogeneous, and we may encounter situations with pathophysiological alterations characterising more than one neurodegenerative disease. Sometimes, specific biomarkers are detected in the preclinical stage. DEVELOPMENT We performed a literature review to identify patients whose histopathological or genetic disorder was discordant with that expected for the clinical syndrome observed, as well as patients presenting multiple neurodegenerative diseases, confirming the heterogeneity and overlap between syndromes and diseases. We also observed that the treatments currently prescribed to patients with neurodegenerative diseases are symptomatic. CONCLUSIONS Our findings show that the search for disease biomarkers should be restricted to research centres, given the lack of disease-modifying drugs or treatments improving survival. Moreover, syndromes and specific molecular or histopathological alterations should be managed independently of one another, and new "diseases‿ should be defined and adapted to current knowledge and practice.
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Affiliation(s)
- A Robles Bayón
- Unidad de Neurología Cognitiva, Hospital HM Rosaleda, Santiago de Compostela, La Coruña, España.
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Koga S, Josephs KA, Aiba I, Yoshida M, Dickson DW. Neuropathology and emerging biomarkers in corticobasal syndrome. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2021-328586. [PMID: 35697501 PMCID: PMC9380481 DOI: 10.1136/jnnp-2021-328586] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/18/2022] [Indexed: 11/05/2022]
Abstract
Corticobasal syndrome (CBS) is a clinical syndrome characterised by progressive asymmetric limb rigidity and apraxia with dystonia, myoclonus, cortical sensory loss and alien limb phenomenon. Corticobasal degeneration (CBD) is one of the most common underlying pathologies of CBS, but other disorders, such as progressive supranuclear palsy (PSP), Alzheimer's disease (AD) and frontotemporal lobar degeneration with TDP-43 inclusions, are also associated with this syndrome.In this review, we describe common and rare neuropathological findings in CBS, including tauopathies, synucleinopathies, TDP-43 proteinopathies, fused in sarcoma proteinopathy, prion disease (Creutzfeldt-Jakob disease) and cerebrovascular disease, based on a narrative review of the literature and clinicopathological studies from two brain banks. Genetic mutations associated with CBS, including GRN and MAPT, are also reviewed. Clinicopathological studies on neurodegenerative disorders associated with CBS have shown that regardless of the underlying pathology, frontoparietal, as well as motor and premotor pathology is associated with CBS. Clinical features that can predict the underlying pathology of CBS remain unclear. Using AD-related biomarkers (ie, amyloid and tau positron emission tomography (PET) and fluid biomarkers), CBS caused by AD often can be differentiated from other causes of CBS. Tau PET may help distinguish AD from other tauopathies and non-tauopathies, but it remains challenging to differentiate non-AD tauopathies, especially PSP and CBD. Although the current clinical diagnostic criteria for CBS have suboptimal sensitivity and specificity, emerging biomarkers hold promise for future improvements in the diagnosis of underlying pathology in patients with CBS.
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Affiliation(s)
- Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ikuko Aiba
- Department of Neurology, National Hospital Organization Higashinagoya National Hospital, Nagoya, Aichi, Japan
| | - Mari Yoshida
- Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Aichi, Japan
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
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Minoshima S, Cross D, Thientunyakit T, Foster NL, Drzezga A. 18F-FDG PET Imaging in Neurodegenerative Dementing Disorders: Insights into Subtype Classification, Emerging Disease Categories, and Mixed Dementia with Copathologies. J Nucl Med 2022; 63:2S-12S. [PMID: 35649653 DOI: 10.2967/jnumed.121.263194] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/22/2022] [Indexed: 12/14/2022] Open
Abstract
Since the invention of 18F-FDG as a neurochemical tracer in the 1970s, 18F-FDG PET has been used extensively for dementia research and clinical applications. FDG, a glucose analog, is transported into the brain via glucose transporters and metabolized in a concerted process involving astrocytes and neurons. Although the exact cellular mechanisms of glucose consumption are still under investigation, 18F-FDG PET can sensitively detect altered neuronal activity due to neurodegeneration. Various neurodegenerative disorders affect different areas of the brain, which can be depicted as altered 18F-FDG uptake by PET. The spatial patterns and severity of such changes can be reproducibly visualized by statistical mapping technology, which has become widely available in the clinic. The differentiation of 3 major neurodegenerative disorders by 18F-FDG PET, Alzheimer disease (AD), frontotemporal dementia (FTD), and dementia with Lewy bodies (DLB), has become standard practice. As the nosology of FTD evolves, frontotemporal lobar degeneration, the umbrella term for pathology affecting the frontal and temporal lobes, has been subclassified clinically into behavioral variant FTD; primary progressive aphasia with 3 subtypes, semantic, nonfluent, and logopenic variants; and movement disorders including progressive supranuclear palsy and corticobasal degeneration. Each of these subtypes is associated with differential 18F-FDG PET findings. The discovery of new pathologic markers and clinicopathologic correlations via larger autopsy series have led to newly recognized or redefined disease categories, such as limbic-predominant age-related TDP-43 encephalopathy, hippocampus sclerosis, primary age-related tauopathy, and argyrophilic grain disease, which have become a focus of investigations by molecular imaging. These findings need to be integrated into the modern interpretation of 18F-FDG PET. Recent pathologic investigations also have revealed a high prevalence, particularly in the elderly, of mixed dementia with overlapping and coexisting pathologies. The interpretation of 18F-FDG PET is evolving from a traditional dichotomous diagnosis of AD versus FTD (or DLB) to a determination of the most predominant underlying pathology that would best explain the patient's symptoms, for the purpose of care guidance. 18F-FDG PET is a relatively low cost and widely available imaging modality that can help assess various neurodegenerative disorders in a single test and remains the workhorse in clinical dementia evaluation.
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Affiliation(s)
- Satoshi Minoshima
- Department of Radiology and Imaging Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah;
| | - Donna Cross
- Department of Radiology and Imaging Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah
| | - Tanyaluck Thientunyakit
- Division of Nuclear Medicine, Department of Radiology, Faculty of Medicine, Siriraj Hospital, Bangkok, Thailand
| | - Norman L Foster
- Department of Neurology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah
| | - Alexander Drzezga
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn-Cologne, Bonn, Germany; and.,Institute of Neuroscience and Medicine (INM-2), Molecular Organization of the Brain, Forschungszentrum Jülich, Jülich, Germany
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Sirkis DW, Bonham LW, Johnson TP, La Joie R, Yokoyama JS. Dissecting the clinical heterogeneity of early-onset Alzheimer's disease. Mol Psychiatry 2022; 27:2674-2688. [PMID: 35393555 PMCID: PMC9156414 DOI: 10.1038/s41380-022-01531-9] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/07/2022] [Accepted: 03/16/2022] [Indexed: 12/14/2022]
Abstract
Early-onset Alzheimer's disease (EOAD) is a rare but particularly devastating form of AD. Though notable for its high degree of clinical heterogeneity, EOAD is defined by the same neuropathological hallmarks underlying the more common, late-onset form of AD. In this review, we describe the various clinical syndromes associated with EOAD, including the typical amnestic phenotype as well as atypical variants affecting visuospatial, language, executive, behavioral, and motor functions. We go on to highlight advances in fluid biomarker research and describe how molecular, structural, and functional neuroimaging can be used not only to improve EOAD diagnostic acumen but also enhance our understanding of fundamental pathobiological changes occurring years (and even decades) before the onset of symptoms. In addition, we discuss genetic variation underlying EOAD, including pathogenic variants responsible for the well-known mendelian forms of EOAD as well as variants that may increase risk for the much more common forms of EOAD that are either considered to be sporadic or lack a clear autosomal-dominant inheritance pattern. Intriguingly, specific pathogenic variants in PRNP and MAPT-genes which are more commonly associated with other neurodegenerative diseases-may provide unexpectedly important insights into the formation of AD tau pathology. Genetic analysis of the atypical clinical syndromes associated with EOAD will continue to be challenging given their rarity, but integration of fluid biomarker data, multimodal imaging, and various 'omics techniques and their application to the study of large, multicenter cohorts will enable future discoveries of fundamental mechanisms underlying the development of EOAD and its varied clinical presentations.
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Affiliation(s)
- Daniel W Sirkis
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Luke W Bonham
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Taylor P Johnson
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Jennifer S Yokoyama
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, 94158, USA.
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Polsinelli AJ, Apostolova LG. Atypical Alzheimer Disease Variants. Continuum (Minneap Minn) 2022; 28:676-701. [PMID: 35678398 PMCID: PMC10028410 DOI: 10.1212/con.0000000000001082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
PURPOSE OF REVIEW This article discusses the clinical, neuroimaging, and biomarker profiles of sporadic atypical Alzheimer disease (AD) variants, including early-onset AD, posterior cortical atrophy, logopenic variant primary progressive aphasia, dysexecutive variant and behavioral variant AD, and corticobasal syndrome. RECENT FINDINGS Significant advances are being made in the recognition and characterization of the syndromically diverse AD variants. These variants are identified by the predominant cognitive and clinical features: early-onset amnestic syndrome, aphasia, visuospatial impairments, dysexecutive and behavioral disturbance, or motor symptoms. Although understanding of regional susceptibility to disease remains in its infancy, visualizing amyloid and tau pathology in vivo and CSF examination of amyloid-β and tau proteins are particularly useful in atypical AD, which can be otherwise prone to misdiagnosis. Large-scale research efforts, such as LEADS (the Longitudinal Early-Onset Alzheimer Disease Study), are currently ongoing and will continue to shed light on our understanding of these diverse presentations. SUMMARY Understanding the clinical, neuroimaging, and biomarker profiles of the heterogeneous group of atypical AD syndromes improves diagnostic accuracy in patients who are at increased risk of misdiagnosis. Earlier accurate identification facilitates access to important interventions, social services and disability assistance, and crucial patient and family education.
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Constantinides VC, Souvatzoglou M, Paraskevas GP, Chalioti M, Boufidou F, Stefanis L, Kapaki E. Dopamine transporter SPECT imaging in corticobasal syndrome: A peak into the underlying pathology? Acta Neurol Scand 2022; 145:762-769. [PMID: 35307816 DOI: 10.1111/ane.13614] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 03/09/2022] [Accepted: 03/11/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Multiple pathologies may underlie corticobasal syndrome (CBS), including Alzheimer's disease (AD). Dopamine transporter density imaging with Ioflupane 123 I SPECT (DaTscan) may be normal in CBS. No studies to date have examined the relationship between DaTscan status and underlying pathology in CBS. OBJECTIVES The main objective of the study was to test whether a normal DaTscan in CBS patients is indicative of an underlying AD pathology, as determined by cerebrospinal fluid (CSF) biomarkers. METHODS Eighteen CBS patients were included. They were divided into patients with an AD and a non-AD disease pathology, based on their cerebrospinal fluid biochemical profile. A typical AD CSF profile was defined as an increase in total and phosphorylated at threonine 181 tau protein in addition to a decrease in amyloid-beta with 42 amino acids. DaTscan data were compared in these two groups. RESULTS Eight of the 18 CBS patients (44%) had a normal DaTscan. Seven of the 18 CBS patients (39%) had an AD cerebrospinal fluid biochemical profile. Two of seven CBS patients with AD biomarker profile had abnormal DaTscans. Three of 11 CBS patients with a non-AD biomarker profile had normal DaTscans. A normal DaTscan was indicative of AD pathology with suboptimal (~70%) sensitivity and specificity. Semi-quantitative DaTscan analysis did not differentiate between AD from non-AD CSF biomarker profile in CBS. CONCLUSION A normal DaTscan is indicative of AD in CBS, but the sensitivity and specificity of DaTscan as an in vivo marker of AD pathology is suboptimal.
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Affiliation(s)
- Vasilios C. Constantinides
- 1st Department of Neurology National and Kapodistrian University of Athens School of Medicine Eginition Hospital Athens Greece
| | - Michail Souvatzoglou
- Nuclear Medicine Division 1st Radiology Department National and Kapodistrian University of Athens Aretaieion Hospital Athens Greece
| | - George P. Paraskevas
- 1st Department of Neurology National and Kapodistrian University of Athens School of Medicine Eginition Hospital Athens Greece
- 2nd Department of Neurology National and Kapodistrian University of Athens School of Medicine Attikon Hospital Athens Greece
| | - Maria Chalioti
- Nuclear Medicine Division 1st Radiology Department National and Kapodistrian University of Athens Aretaieion Hospital Athens Greece
| | - Fotini Boufidou
- 1st Department of Neurology National and Kapodistrian University of Athens School of Medicine Eginition Hospital Athens Greece
| | - Leonidas Stefanis
- 1st Department of Neurology National and Kapodistrian University of Athens School of Medicine Eginition Hospital Athens Greece
| | - Elisabeth Kapaki
- 1st Department of Neurology National and Kapodistrian University of Athens School of Medicine Eginition Hospital Athens Greece
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