Browsing by Author "Bouzigues, Arabella"

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    Sex differences in clinical phenotypes of behavioral variant frontotemporal dementia
    (Wiley, 2025) Liu, Xulin; de Boer, Sterre C. M.; Cortez, Kasey; Poos, Jackie M.; Illán-Gala, Ignacio; Heuer, Hilary; Forsberg, Leah K.; Casaletto, Kaitlin; Memel, Molly; Appleby, Brian S.; Barmada, Sami; Bozoki, Andrea; Clark, David; Cobigo, Yann; Darby, Ryan; Dickerson, Bradford C.; Domoto-Reilly, Kimiko; Galasko, Douglas R.; Geschwind, Daniel H.; Ghoshal, Nupur; Graff-Radford, Neill R.; Grant, Ian M.; Hsiung, Ging-Yuek Robin; Honig, Lawrence S.; Huey, Edward D.; Irwin, David; Kantarci, Kejal; Léger, Gabriel C.; Litvan, Irene; Mackenzie, Ian R.; Masdeu, Joseph C.; Mendez, Mario F.; Onyike, Chiadi U.; Pascual, Belen; Pressman, Peter; Bayram, Ece; Ramos, Eliana Marisa; Roberson, Erik D.; Rogalski, Emily; Bouzigues, Arabella; Russell, Lucy L.; Foster, Phoebe H.; Ferry-Bolder, Eve; Masellis, Mario; van Swieten, John; Jiskoot, Lize; Seelaar, Harro; Sanchez-Valle, Raquel; Laforce, Robert; Graff, Caroline; Galimberti, Daniela; Vandenberghe, Rik; de Mendonça, Alexandre; Tiraboschi, Pietro; Santana, Isabel; Gerhard, Alexander; Levin, Johannes; Sorbi, Sandro; Otto, Markus; Pasquier, Florence; Ducharme, Simon; Butler, Chris R.; Le Ber, Isabelle; Finger, Elizabeth; Rowe, James B.; Synofzik, Matthis; Moreno, Fermin; Borroni, Barbara; Boeve, Brad F.; Boxer, Adam L.; Rosen, Howie J.; Pijnenburg, Yolande A. L.; Rohrer, Jonathan D.; Tartaglia, Maria Carmela; ALLFTD Consortium; GENFI Consortium; Medicine, School of Medicine
    Introduction: Higher male prevalence in sporadic behavioral variant frontotemporal dementia (bvFTD) has been reported. We hypothesized differences in phenotypes between genetic and sporadic bvFTD females resulting in underdiagnosis of sporadic bvFTD females. Methods: We included genetic and sporadic bvFTD patients from two multicenter cohorts. We compared behavioral and cognitive symptoms, and gray matter volumes, between genetic and sporadic cases in each sex. Results: Females with sporadic bvFTD showed worse compulsive behavior (p = 0.026) and language impairments (p = 0.024) compared to females with genetic bvFTD (n = 152). Genetic bvFTD females had smaller gray matter volumes than sporadic bvFTD females, particularly in the parietal lobe. Discussion: Females with sporadic bvFTD exhibit a distinct clinical phenotype compared to females with genetic bvFTD. This difference may explain the discrepancy in prevalence between genetic and sporadic cases, as some females without genetic mutations may be misdiagnosed due to atypical bvFTD symptom presentation. Highlights: Sex ratio is equal in genetic behavioral variant of frontotemporal dementia (bvFTD), whereas more males are present in sporadic bvFTD. Distinct neuropsychiatric phenotypes exist between sporadic and genetic bvFTD in females. Phenotype might explain the sex ratio difference between sporadic and genetic cases.
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    Temporal order of clinical and biomarker changes in familial frontotemporal dementia
    (Springer Nature, 2022) Staffaroni, Adam M.; Quintana, Melanie; Wendelberger, Barbara; Heuer, Hilary W.; Russell, Lucy L.; Cobigo, Yann; Wolf, Amy; Goh, Sheng-Yang Matt; Petrucelli, Leonard; Gendron, Tania F.; Heller, Carolin; Clark, Annie L.; Taylor, Jack Carson; Wise, Amy; Ong, Elise; Forsberg, Leah; Brushaber, Danielle; Rojas, Julio C.; VandeVrede, Lawren; Ljubenkov, Peter; Kramer, Joel; Casaletto, Kaitlin B.; Appleby, Brian; Bordelon, Yvette; Botha, Hugo; Dickerson, Bradford C.; Domoto-Reilly, Kimiko; Fields, Julie A.; Foroud, Tatiana; Gavrilova, Ralitza; Geschwind, Daniel; Ghoshal, Nupur; Goldman, Jill; Graff-Radford, Jonathon; Graff-Radford, Neill; Grossman, Murray; Hall, Matthew G. H.; Hsiung, Ging-Yuek; Huey, Edward D.; Irwin, David; Jones, David T.; Kantarci, Kejal; Kaufer, Daniel; Knopman, David; Kremers, Walter; Lago, Argentina Lario; Lapid, Maria I.; Litvan, Irene; Lucente, Diane; Mackenzie, Ian R.; Mendez, Mario F.; Mester, Carly; Miller, Bruce L.; Onyike, Chiadi U.; Rademakers, Rosa; Ramanan, Vijay K.; Ramos, Eliana Marisa; Rao, Meghana; Rascovsky, Katya; Rankin, Katherine P.; Roberson, Erik D.; Savica, Rodolfo; Tartaglia, M. Carmela; Weintraub, Sandra; Wong, Bonnie; Cash, David M.; Bouzigues, Arabella; Swift, Imogen J.; Peakman, Georgia; Bocchetta, Martina; Todd, Emily G.; Convery, Rhian S.; Rowe, James B.; Borroni, Barbara; Galimberti, Daniela; Tiraboschi, Pietro; Masellis, Mario; Finger, Elizabeth; van Swieten, John C.; Seelaar, Harro; Jiskoot, Lize C.; Sorbi, Sandro; Butler, Chris R.; Graff, Caroline; Gerhard, Alexander; Langheinrich, Tobias; Laforce, Robert; Sanchez-Valle, Raquel; de Mendonça, Alexandre; Moreno, Fermin; Synofzik, Matthis; Vandenberghe, Rik; Ducharme, Simon; Le Ber, Isabelle; Levin, Johannes; Danek, Adrian; Otto, Markus; Pasquier, Florence; Santana, Isabel; Kornak, John; Boeve, Bradley F.; Rosen, Howard J.; Rohrer, Jonathan D.; Boxer, Adam L.; Frontotemporal Dementia Prevention Initiative (FPI) Investigators; Medicine, School of Medicine
    Unlike familial Alzheimer’s disease, we have been unable to accurately predict symptom onset in presymptomatic familial frontotemporal dementia (f-FTD) mutation carriers, which is a major hurdle to designing disease prevention trials. We developed multimodal models for f-FTD disease progression and estimated clinical trial sample sizes in C9orf72, GRN, and MAPT mutation carriers. Models included longitudinal clinical and neuropsychological scores, regional brain volumes, and plasma neurofilament light chain (NfL) in 796 carriers and 412 non-carrier controls. We found that the temporal ordering of clinical and biomarker progression differed by genotype. In prevention-trial simulations employing model-based patient selection, atrophy and NfL were the best endpoints, whereas clinical measures were potential endpoints in early symptomatic trials. F-FTD prevention trials are feasible but will likely require global recruitment efforts. These disease progression models will facilitate the planning of f-FTD clinical trials, including the selection of optimal endpoints and enrollment criteria to maximize power to detect treatment effects.