38 documents found, page 1 of 4
Temporal dynamics predict symptom onset and cognitive decline in familial front...
Whiteside, David J.; Malpetti, Maura; Jones, P Simon; Ghosh, Boyd C. P.; Coyle-Gilchrist, Ian; van Swieten, John C.; Seelaar, Harro; Jiskoot, LizeIntroduction: We tested whether changes in functional networks predict cognitive decline and conversion from the presymptomatic prodrome to symptomatic disease in familial frontotemporal dementia (FTD). Methods: For hypothesis generation, 36 participants with behavioral variant FTD (bvFTD) and 34 controls were recruited from one site. For hypothesis testing, we studied 198 symptomatic FTD mutation carriers, 341...
Network structure and transcriptomic vulnerability shape atrophy in frontotempo...
Shafiei, Golia; Bazinet, Vincent; Dadar, Mahsa; Manera, Ana L.; Collins, D. Louis; Dagher, Alain; Borroni, Barbara; Sánchez-Valle, RaquelConnections among brain regions allow pathological perturbations to spread from a single source region to multiple regions. Patterns of neurodegeneration in multiple diseases, including behavioural variant of frontotemporal dementia (bvFTD), resemble the large-scale functional systems, but how bvFTD-related atrophy patterns relate to structural network organization remains unknown. Here we investigate whether n...
Early neurotransmitters changes in prodromal frontotemporal dementia: a GENFI s...
Premi, Enrico; Pengo, Marta; Mattioli, Irene; Cantoni, Valentina; Dukart, Juergen; Gasparotti, Roberto; Buratti, Emanuele; Padovani, AlessandroBackground: Neurotransmitters deficits in Frontotemporal Dementia (FTD) are still poorly understood. Better knowledge of neurotransmitters impairment, especially in prodromal disease stages, might tailor symptomatic treatment approaches. Methods: In the present study, we applied JuSpace toolbox, which allowed for cross-modal correlation of Magnetic Resonance Imaging (MRI)-based measures with nuclear imaging der...
Data-driven staging of genetic frontotemporal dementia using multi-modal MRI
McCarthy, Jillian; Borroni, Barbara; Sánchez-Valle, Raquel; Moreno, Fermin; Laforce, Robert; Graff, Caroline; Synofzik, Matthis; Galimberti, DanielaFrontotemporal dementia in genetic forms is highly heterogeneous and begins many years to prior symptom onset, complicating disease understanding and treatment development. Unifying methods to stage the disease during both the presymptomatic and symptomatic phases are needed for the development of clinical trials outcomes. Here we used the contrastive trajectory inference (cTI), an unsupervised machine learning...
Examining empathy deficits across familial forms of frontotemporal dementia wit...
Foster, Phoebe H.; Russell, Lucy L.; Peakman, Georgia; Convery, Rhian S.; Bouzigues, Arabella; Greaves, Caroline V.; Bocchetta, Martina; Cash, David M.Background: Reduced empathy is a common symptom in frontotemporal dementia (FTD). Although empathy deficits have been extensively researched in sporadic cases, few studies have explored the differences in familial forms of FTD. Methods: Empathy was examined using a modified version of the Interpersonal Reactivity Index (mIRI) in 676 participants from the Genetic FTD Initiative: 216 mutation-negative controls, 1...
A data-driven disease progression model of fluid biomarkers in genetic frontote...
van der Ende, Emma L.; Bron, Esther E.; Poos, Jackie M.; Jiskoot, Lize C.; Panman, Jessica L.; Papma, Janne M.; Meeter, Lieke H.; Dopper, Elise G. P.Several CSF and blood biomarkers for genetic frontotemporal dementia have been proposed, including those reflecting neuroaxonal loss (neurofilament light chain and phosphorylated neurofilament heavy chain), synapse dysfunction [neuronal pentraxin 2 (NPTX2)], astrogliosis (glial fibrillary acidic protein) and complement activation (C1q, C3b). Determining the sequence in which biomarkers become abnormal over the ...
Data‐driven staging of genetic frontotemporal dementia using multi‐modal MRI
McCarthy, Jillian; Borroni, Barbara; Sanchez‐Valle, Raquel; Moreno, Fermin; Laforce, Robert; Graff, Caroline; Synofzik, Matthis; Galimberti, DanielaFrontotemporal dementia in genetic forms is highly heterogeneous and begins many years to prior symptom onset, complicating disease understanding and treatment development. Unifying methods to stage the disease during both the presymptomatic and symptomatic phases are needed for the development of clinical trials outcomes. Here we used the contrastive trajectory inference (cTI), an unsupervised machine learning...
Temporal dynamics predict symptom onset and cognitive decline in familial front...
Whiteside, David J.; Malpetti, Maura; Jones, P. Simon; Ghosh, Boyd C. P.; Coyle‐Gilchrist, Ian; van Swieten, John C.; Seelaar, Harro; Jiskoot, LizeIntroduction: We tested whether changes in functional networks predict cognitive decline and conversion from the presymptomatic prodrome to symptomatic disease in familial frontotemporal dementia (FTD). Methods: For hypothesis generation, 36 participants with behavioral variant FTD (bvFTD) and 34 controls were recruited from one site. For hypothesis testing, we studied 198 symptomatic FTD mutation carriers, 341...
Elevated CSF and plasma complement proteins in genetic frontotemporal dementia:...
van der Ende, Emma L.; Heller, Carolin; Sogorb-Esteve, Aitana; Swift, Imogen J.; McFall, David; Peakman, Georgia; Bouzigues, Arabella; Poos, Jackie M.Background: Neuroinflammation is emerging as an important pathological process in frontotemporal dementia (FTD), but biomarkers are lacking. We aimed to determine the value of complement proteins, which are key components of innate immunity, as biomarkers in cerebrospinal fluid (CSF) and plasma of presymptomatic and symptomatic genetic FTD mutation carriers. Methods: We measured the complement proteins C1q and ...
Structural brain splitting is a hallmark of Granulin-related frontotemporal dem...
Gazzina, Stefano; Grassi, Mario; Premi, Enrico; Alberici, Antonella; Benussi, Alberto; Archetti, Silvana; Gasparotti, Roberto; Bocchetta, MartinaFrontotemporal dementia associated with granulin (GRN) mutations presents asymmetric brain atrophy. We applied a Minimum Spanning Tree plus an Efficiency Cost Optimization approach to cortical thickness data in order to test whether graph theory measures could identify global or local impairment of connectivity in the presymptomatic phase of pathology, where other techniques failed in demonstrating changes. We ...