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Antonioni A, Raho EM, Lopriore P, Pace AP, Latino RR, Assogna M, Mancuso M, Gragnaniello D, Granieri E, Pugliatti M, Di Lorenzo F, Koch G. Frontotemporal Dementia, Where Do We Stand? A Narrative Review. Int J Mol Sci 2023; 24:11732. [PMID: 37511491 PMCID: PMC10380352 DOI: 10.3390/ijms241411732] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
Frontotemporal dementia (FTD) is a neurodegenerative disease of growing interest, since it accounts for up to 10% of middle-age-onset dementias and entails a social, economic, and emotional burden for the patients and caregivers. It is characterised by a (at least initially) selective degeneration of the frontal and/or temporal lobe, generally leading to behavioural alterations, speech disorders, and psychiatric symptoms. Despite the recent advances, given its extreme heterogeneity, an overview that can bring together all the data currently available is still lacking. Here, we aim to provide a state of the art on the pathogenesis of this disease, starting with established findings and integrating them with more recent ones. In particular, advances in the genetics field will be examined, assessing them in relation to both the clinical manifestations and histopathological findings, as well as considering the link with other diseases, such as amyotrophic lateral sclerosis (ALS). Furthermore, the current diagnostic criteria will be explored, including neuroimaging methods, nuclear medicine investigations, and biomarkers on biological fluids. Of note, the promising information provided by neurophysiological investigations, i.e., electroencephalography and non-invasive brain stimulation techniques, concerning the alterations in brain networks and neurotransmitter systems will be reviewed. Finally, current and experimental therapies will be considered.
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Affiliation(s)
- Annibale Antonioni
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
- Doctoral Program in Translational Neurosciences and Neurotechnologies, University of Ferrara, 44121 Ferrara, Italy
| | - Emanuela Maria Raho
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
| | - Piervito Lopriore
- Neurological Institute, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Antonia Pia Pace
- Institute of Radiology, Department of Medicine, University of Udine, University Hospital S. Maria della Misericordia, Azienda Sanitaria-Universitaria Friuli Centrale, 33100 Udine, Italy
| | - Raffaela Rita Latino
- Complex Structure of Neurology, Emergency Department, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
| | - Martina Assogna
- Centro Demenze, Policlinico Tor Vergata, University of Rome 'Tor Vergata', 00133 Rome, Italy
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, 00179 Rome, Italy
| | - Michelangelo Mancuso
- Neurological Institute, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Daniela Gragnaniello
- Nuerology Unit, Neurosciences and Rehabilitation Department, Ferrara University Hospital, 44124 Ferrara, Italy
| | - Enrico Granieri
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
| | - Maura Pugliatti
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
| | - Francesco Di Lorenzo
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, 00179 Rome, Italy
| | - Giacomo Koch
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, 00179 Rome, Italy
- Iit@Unife Center for Translational Neurophysiology, Istituto Italiano di Tecnologia, 44121 Ferrara, Italy
- Section of Human Physiology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
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Garcia A, Cohen RA, Porges EC, Williamson JB, Woods AJ. Functional connectivity of brain networks during semantic processing in older adults. Front Aging Neurosci 2022; 14:814882. [PMID: 36337702 PMCID: PMC9627037 DOI: 10.3389/fnagi.2022.814882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 09/14/2022] [Indexed: 12/03/2022] Open
Abstract
The neural systems underlying semantic processing have been characterized with functional neuroimaging in young adults. Whether the integrity of these systems degrade with advanced age remains unresolved. The current study examined functional connectivity during abstract and concrete word processing. Thirty-eight adults, aged 55–91, engaged in semantic association decision tasks during a mixed event-related block functional magnetic resonance imaging (fMRI) paradigm. During the semantic trials, the task required participants to make a judgment as to whether pairs were semantically associated. During the rhyme trials, the task required participants to determine if non-word pairs rhymed. Seeds were placed in putative semantic hubs of the left anterior middle temporal gyrus (aMTG) and the angular gyrus (AG), and also in the left inferior frontal gyrus (IFG), an area considered important for semantic control. Greater connectivity between aMTG, AG, and IFG and multiple cortical areas occurred during semantic processing. Connectivity from the three seeds differed during semantic processing: the left AG and aMTG were strongly connected with frontal, parietal, and occipital areas bilaterally, whereas the IFG was most strongly connected with other frontal cortical areas and the AG in the ipsilateral left hemisphere. Notably, the strength and extent of connectivity differed for abstract and concrete semantic processing; connectivity from the left aMTG and AG to bilateral cortical areas was greater during abstract processing, whereas IFG connectivity with left cortical areas was greater during concrete processing. With advanced age, greater connectivity occurred only between the left AG and supramarginal gyrus during the processing of concrete word-pairs, but not abstract word-pairs. Among older adults, robust functional connectivity of the aMTG, AG, and IFG to widely distributed bilateral cortical areas occurs during abstract and concrete semantic processing in a manner consistent with reports from past studies of young adults. There was not a significant degradation of functional connectivity during semantic processing between the ages of 55 and 85 years. As the study focused on semantic functioning in older adults, a comparison group of young adults was not included, limiting generalizability. Future longitudinal neuroimaging studies that compare functional connectivity of young and older adults under different semantic demands will be valuable.
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Van Schoor E, Vandenbulcke M, Bercier V, Vandenberghe R, van der Zee J, Van Broeckhoven C, Otto M, Hanseeuw B, Van Damme P, Van Den Bosch L, Thal DR. Frontotemporal Lobar Degeneration Case with an N-Terminal TUBA4A Mutation Exhibits Reduced TUBA4A Levels in the Brain and TDP-43 Pathology. Biomolecules 2022; 12:biom12030440. [PMID: 35327632 PMCID: PMC8946841 DOI: 10.3390/biom12030440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 03/08/2022] [Accepted: 03/09/2022] [Indexed: 02/04/2023] Open
Abstract
Recently, disease-associated variants of the TUBA4A gene were identified in patients with amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Here, we present the neuropathological report of a patient with the semantic variant of primary progressive aphasia with a family history of Parkinsonism, harboring a novel frameshift mutation c.187del (p.Arg64Glyfs*90) in TUBA4A. Immunohistochemistry showed abundant TAR DNA-binding protein 43 kDa (TDP-43) dystrophic neurite pathology in the frontal and temporal cortex and the dentate gyrus of the hippocampus, consistent with frontotemporal lobar degeneration (FTLD). The observed pathology pattern fitted best with that of FTLD-TDP Type C. qPCR showed the presence of mutant TUBA4A mRNA. However, no truncated TUBA4A was detected at the protein level. A decrease in total TUBA4A mRNA and protein levels suggests loss-of-function as a potential pathogenic mechanism. This report strengthens the idea that N-terminal TUBA4A mutations are associated with FTLD-TDP. These N-terminal mutations possibly exert their pathogenic effects through haploinsufficiency, contrary to C-terminal TUBA4A mutations which are thought to disturb the microtubule network via a dominant-negative mechanism.
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Affiliation(s)
- Evelien Van Schoor
- Laboratory of Neuropathology, Department of Imaging and Pathology, Leuven Brain Institute (LBI), KU Leuven (University of Leuven), 3000 Leuven, Belgium
- Laboratory of Neurobiology, Department of Neurosciences, Leuven Brain Institute (LBI), KU Leuven (University of Leuven), 3000 Leuven, Belgium; (V.B.); (P.V.D.); (L.V.D.B.)
- Center for Brain & Disease Research, VIB, 3000 Leuven, Belgium
- Correspondence: (E.V.S.); (D.R.T.)
| | - Mathieu Vandenbulcke
- Department of Geriatric Psychiatry, University Hospitals Leuven, 3000 Leuven, Belgium;
| | - Valérie Bercier
- Laboratory of Neurobiology, Department of Neurosciences, Leuven Brain Institute (LBI), KU Leuven (University of Leuven), 3000 Leuven, Belgium; (V.B.); (P.V.D.); (L.V.D.B.)
- Center for Brain & Disease Research, VIB, 3000 Leuven, Belgium
| | - Rik Vandenberghe
- Laboratory of Cognitive Neurology, Department of Neurosciences, KU Leuven (University of Leuven), 3000 Leuven, Belgium;
- Department of Neurology, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Julie van der Zee
- Neurodegenerative Brain Diseases, Center for Molecular Neurology, VIB, 2610 Antwerp, Belgium; (J.v.d.Z.); (C.V.B.)
- Department of Biomedical Sciences, University of Antwerp, 2000 Antwerp, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases, Center for Molecular Neurology, VIB, 2610 Antwerp, Belgium; (J.v.d.Z.); (C.V.B.)
- Department of Biomedical Sciences, University of Antwerp, 2000 Antwerp, Belgium
| | - Markus Otto
- Department of Neurology, Ulm University, 89081 Ulm, Germany;
- Department of Neurology, University Hospital Halle (Saale), Martin Luther University Halle-Wittenberg, 06108 Halle (Saale), Germany
| | - Bernard Hanseeuw
- UC Louvain and Department of Neurology, Institute of Neurosciences, University Hospital Saint-Luc, 1200 Brussels, Belgium;
| | - Philip Van Damme
- Laboratory of Neurobiology, Department of Neurosciences, Leuven Brain Institute (LBI), KU Leuven (University of Leuven), 3000 Leuven, Belgium; (V.B.); (P.V.D.); (L.V.D.B.)
- Center for Brain & Disease Research, VIB, 3000 Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Ludo Van Den Bosch
- Laboratory of Neurobiology, Department of Neurosciences, Leuven Brain Institute (LBI), KU Leuven (University of Leuven), 3000 Leuven, Belgium; (V.B.); (P.V.D.); (L.V.D.B.)
- Center for Brain & Disease Research, VIB, 3000 Leuven, Belgium
| | - Dietmar Rudolf Thal
- Laboratory of Neuropathology, Department of Imaging and Pathology, Leuven Brain Institute (LBI), KU Leuven (University of Leuven), 3000 Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, 3000 Leuven, Belgium
- Correspondence: (E.V.S.); (D.R.T.)
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Benussi A, Dell'Era V, Cantoni V, Cotelli MS, Cosseddu M, Spallazzi M, Alberici A, Padovani A, Borroni B. Neurophysiological Correlates of Positive and Negative Symptoms in Frontotemporal Dementia. J Alzheimers Dis 2021; 73:1133-1142. [PMID: 31884481 DOI: 10.3233/jad-190986] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND The neural correlates of behavioral symptoms in frontotemporal dementia (FTD) are still to be elucidated. Neurotransmitter abnormalities could be correlated to the pathophysiology of negative and positive symptoms in FTD. OBJECTIVE To evaluate if the imbalance between inhibitory and excitatory cortical circuits, evaluated with transcranial magnetic stimulation (TMS), correlate with the magnitude of negative and positive symptoms, as measured by Frontal Behavioral Inventory (FBI) scores, in patients with FTD. METHODS Paired-pulse TMS was used to investigate the activity of different intracortical circuits in 186 FTD patients (130 bvFTD, 35 avPPA, 21 svPPA). We applied short interval intracortical inhibition (SICI - GABAAergic transmission), intracortical facilitation (ICF - glutamatergic transmission), long interval intracortical inhibition (LICI - GABABergic transmission), and short latency afferent inhibition (SAI - cholinergic transmission). Linear and stepwise multiple regression analysis were used to determine the contribution of each neurophysiological measures to the total variance of FBI scores. RESULTS At the stepwise multivariate analysis, we observed a significant negative correlation between FBI-A scores (negative symptoms) and ICF (β = -0.57, p < 0.001, adjusted R2 = 0.32). For FBI-B scores (positive symptoms), we observed a significant positive correlation for SICI (β = 0.84, p < 0.001, adjusted R2 = 0.56). Significant correlations were observed for single items of the FBI-A score with ICF and FBI-B scores with SICI, with a medium-large size effect for several items. CONCLUSIONS The present study shows that the imbalance between inhibitory and excitatory intracortical circuits, evaluated with TMS, correlated with the magnitude of negative and positive symptoms in FTD, respectively.
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Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Valentina Dell'Era
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Valentina Cantoni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | | | - Maura Cosseddu
- Neurology Unit, Spedali Civili di Brescia, Brescia, Italy
| | - Marco Spallazzi
- Department of Medicine and Surgery, Section of Neurology, Azienda Ospedaliero-Universitaria, Parma, Italy
| | | | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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Abstract
BACKGROUND/AIMS Few longitudinal studies have explored the progression of cognitive and functional impairment of patients with primary progressive aphasia (PPA). The aims of the study were to describe the clinical, neuroimaging, and genetic features of a cohort of 68 PPA patients, and to outline the natural history of the disease. MATERIALS AND METHODS A sample of 23 patients with the logopenic variant, 26 with the nonfluent/agrammatic variant, and 19 with the semantic variant was retrospectively collected and followed-up for a maximum of 6 years. Clinical-neuropsychological assessment, fluorodeoxyglucose positron emission tomographic imaging, and genetic analyses were acquired at baseline. Disease progression was evaluated in terms of language impairment, global cognitive decline, and functional dependency. RESULTS During follow-up, one third of subjects presented total language loss, and 20% severe functional dependency. Global cognitive decline after the first year (hazard ratio, 5.93; confidence interval, 1.63-21.56) and high schooling (hazard ratio, 0.07; confidence interval, 0.008-0.74) represented risk factors for functional impairment. The apolipoprotein E status was associated with the progression of cognitive decline. Positive family history for dementia was frequent and 3 genetic autosomal dominant mutations were identified. CONCLUSIONS There were no differences in the progression of PPA subtypes. Genetics plays an important role in disease onset and progression.
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Gazzina S, Grassi M, Premi E, Cosseddu M, Alberici A, Archetti S, Gasparotti R, Van Swieten J, Galimberti D, Sanchez-Valle R, Laforce RJ, Moreno F, Synofzik M, Graff C, Masellis M, Tartaglia MC, Rowe JB, Vandenberghe R, Finger E, Tagliavini F, de Mendonça A, Santana I, Butler CR, Ducharme S, Gerhard A, Danek A, Levin J, Otto M, Frisoni G, Sorbi S, Padovani A, Rohrer JD, Borroni B. Education modulates brain maintenance in presymptomatic frontotemporal dementia. J Neurol Neurosurg Psychiatry 2019; 90:1124-1130. [PMID: 31182509 DOI: 10.1136/jnnp-2019-320439] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 04/30/2019] [Accepted: 05/01/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Cognitively engaging lifestyles have been associated with reduced risk of conversion to dementia. Multiple mechanisms have been advocated, including increased brain volumes (ie, brain reserve) and reduced disease progression (ie, brain maintenance). In cross-sectional studies of presymptomatic frontotemporal dementia (FTD), higher education has been related to increased grey matter volume. Here, we examine the effect of education on grey matter loss over time. METHODS Two-hundred twenty-nine subjects at-risk of carrying a pathogenic mutation leading to FTD underwent longitudinal cognitive assessment and T1-weighted MRI at baseline and at 1 year follow-up. The first principal component score of the graph-Laplacian Principal Component Analysis on 112 grey matter region-of-interest volumes was used to summarise the grey matter volume (GMV). The effects of education on cognitive performances and GMV at baseline and on the change between 1 year follow-up and baseline (slope) were tested by Structural Equation Modelling. RESULTS Highly educated at-risk subjects had better cognition and higher grey matter volume at baseline; moreover, higher educational attainment was associated with slower loss of grey matter over time in mutation carriers. CONCLUSIONS This longitudinal study demonstrates that even in presence of ongoing pathological processes, education may facilitate both brain reserve and brain maintenance in the presymptomatic phase of genetic FTD.
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Affiliation(s)
- Stefano Gazzina
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Mario Grassi
- Department of Brain and Behavioral Science, Medical and Genomic Statistics Unit, University of Pavia, Pavia, Italy
| | - Enrico Premi
- Stroke Unit, Neurology Unit, Spedali Civili Hospital, Brescia, Italy
| | | | - Antonella Alberici
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Silvana Archetti
- Biotechnology Laboratory, Department of Diagnostics, Spedali Civili Hospital, Brescia, Italy
| | | | - John Van Swieten
- Department of Neurology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Daniela Galimberti
- Centro Dino Ferrari, University of Milan, Milan, Italy.,Neurodegenerative Diseases Unit, Fondazione IRCSS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Raquel Sanchez-Valle
- Neurology Department, Hospital Clinic, Institut d'Investigacions Biomèdiques, Barcelona, Spain
| | - Robert Jr Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, Québec, Quebec, Canada
| | - Fermin Moreno
- Department of Neurology, Hospital Universitario Donostia, San Sebastian, Gipuzkoa, Spain
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research & Center of Neurology, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Caroline Graff
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogenetics, Stockholm, Sweden
| | - Mario Masellis
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Toronto Western Hospital, Tanz Centre for Research in Neurodegenerative Disease, Toronto, Ontario, Canada
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Rik Vandenberghe
- Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Fabrizio Tagliavini
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Istituto Neurologico Carlo Besta, Milan, Italy
| | | | - Isabel Santana
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | | | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Quebec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Alex Gerhard
- Institute of Brain, Behaviour and Mental Health, The University of Manchester, Withington, Manchester, United Kingdom
| | - Adrian Danek
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, Munich, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, Munich, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Markus Otto
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Giovanni Frisoni
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.,Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) "Don Gnocchi", Florence, Italy
| | - Alessandro Padovani
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Jonathan D Rohrer
- Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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Functional Connectivity Changes in Behavioral, Semantic, and Nonfluent Variants of Frontotemporal Dementia. Behav Neurol 2018; 2018:9684129. [PMID: 29808100 PMCID: PMC5902123 DOI: 10.1155/2018/9684129] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 01/02/2018] [Accepted: 02/12/2018] [Indexed: 02/04/2023] Open
Abstract
Frontotemporal dementia (FTD) affects behavior, language, and personality. This study aims to explore functional connectivity changes in three FTD variants: behavioral (bvFTD), semantic (svPPA), and nonfluent variant (nfvPPA). Seventy-six patients diagnosed with FTD by international criteria and thirty-two controls were investigated. Functional connectivity from resting functional magnetic resonance imaging (fMRI) was estimated for the whole brain. Two types of analysis were done: network basic statistic and topological measures by graph theory. Several hubs in the limbic system and basal ganglia were compromised in the behavioral variant apart from frontal networks. Nonfluent variants showed a major disconnection with respect to the behavioral variant in operculum and parietal inferior. The global efficiency had lower coefficients in nonfluent variants than behavioral variants and controls. Our results support an extensive disconnection among frontal, limbic, basal ganglia, and parietal hubs.
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