Browsing by Author "Sturm, Virginia E."

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    Brain volumetric deficits in MAPT mutation carriers: a multisite study
    (Wiley, 2021) Chu, Stephanie A.; Flagan, Taru M.; Staffaroni, Adam M.; Jiskoot, Lize C.; Deng, Jersey; Spina, Salvatore; Zhang, Liwen; Sturm, Virginia E.; Yokoyama, Jennifer S.; Seeley, William W.; Papma, Janne M.; Geschwind, Dan H.; Rosen, Howard J.; Boeve, Bradley F.; Boxer, Adam L.; Heuer, Hilary W.; Forsberg, Leah K.; Brushaber, Danielle E.; Grossman, Murray; Coppola, Giovanni; Dickerson, Bradford C.; Bordelon, Yvette M.; Faber, Kelley; Feldman, Howard H.; Fields, Julie A.; Fong, Jamie C.; Foroud, Tatiana; Gavrilova, Ralitza H.; Ghoshal, Nupur; Graff-Radford, Neill R.; Hsiung, Ging-Yuek Robin; Huey, Edward D.; Irwin, David J.; Kantarci, Kejal; Kaufer, Daniel I.; Karydas, Anna M.; Knopman, David S.; Kornak, John; Kramer, Joel H.; Kukull, Walter A.; Lapid, Maria I.; Litvan, Irene; Mackenzie, Ian R. A.; Mendez, Mario F.; Miller, Bruce L.; Onyike, Chiadi U.; Pantelyat, Alexander Y.; Rademakers, Rosa; Ramos, Eliana Marisa; Roberson, Erik D.; Tartaglia, Maria Carmela; Tatton, Nadine A.; Toga, Arthur W.; Vetor, Ashley; Weintraub, Sandra; Wong, Bonnie; Wszolek, Zbigniew K.; ARTFL/LEFFTDS Consortium; Van Swieten, John C.; Lee, Suzee E.; Medical and Molecular Genetics, School of Medicine
    Objective: MAPT mutations typically cause behavioral variant frontotemporal dementia with or without parkinsonism. Previous studies have shown that symptomatic MAPT mutation carriers have frontotemporal atrophy, yet studies have shown mixed results as to whether presymptomatic carriers have low gray matter volumes. To elucidate whether presymptomatic carriers have lower structural brain volumes within regions atrophied during the symptomatic phase, we studied a large cohort of MAPT mutation carriers using a voxelwise approach. Methods: We studied 22 symptomatic carriers (age 54.7 ± 9.1, 13 female) and 43 presymptomatic carriers (age 39.2 ± 10.4, 21 female). Symptomatic carriers' clinical syndromes included: behavioral variant frontotemporal dementia (18), an amnestic dementia syndrome (2), Parkinson's disease (1), and mild cognitive impairment (1). We performed voxel-based morphometry on T1 images and assessed brain volumetrics by clinical subgroup, age, and mutation subtype. Results: Symptomatic carriers showed gray matter atrophy in bilateral frontotemporal cortex, insula, and striatum, and white matter atrophy in bilateral corpus callosum and uncinate fasciculus. Approximately 20% of presymptomatic carriers had low gray matter volumes in bilateral hippocampus, amygdala, and lateral temporal cortex. Within these regions, low gray matter volumes emerged in a subset of presymptomatic carriers as early as their thirties. Low white matter volumes arose infrequently among presymptomatic carriers. Interpretation: A subset of presymptomatic MAPT mutation carriers showed low volumes in mesial temporal lobe, the region ubiquitously atrophied in all symptomatic carriers. With each decade of age, an increasing percentage of presymptomatic carriers showed low mesial temporal volume, suggestive of early neurodegeneration.
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    Clinicopathological correlations in behavioural variant frontotemporal dementia
    (Oxford University Press, 2017-12-01) Perry, David C.; Brown, Jesse A.; Possin, Katherine L.; Datta, Samir; Trujillo, Andrew; Radke, Anneliese; Karydas, Anna; Kornak, John; Sias, Ana C.; Rabinovici, Gil D.; Gorno-Tempini, Maria Luisa; Boxer, Adam L.; May, Mary De; Rankin, Katherine P.; Sturm, Virginia E.; Lee, Suzee E.; Matthews, Brandy R.; Kao, Aimee W.; Vossel, Keith A.; Tartaglia, Maria Carmela; Miller, Zachary A.; Seo, Sang Won; Sidhu, Manu; Gaus, Stephanie E.; Nana, Alissa L.; Vargas, Jose Norberto S.; Hwang, Ji-Hye L.; Ossenkoppele, Rik; Brown, Alainna B.; Huang, Eric J.; Coppola, Giovanni; Rosen, Howard J.; Geschwind, Daniel; Trojanowski, John Q.; Grinberg, Lea T.; Kramer, Joel H.; Miller, Bruce L.; Seely, William W.; Neurology, School of Medicine
    Accurately predicting the underlying neuropathological diagnosis in patients with behavioural variant frontotemporal dementia (bvFTD) poses a daunting challenge for clinicians but will be critical for the success of disease-modifying therapies. We sought to improve pathological prediction by exploring clinicopathological correlations in a large bvFTD cohort. Among 438 patients in whom bvFTD was either the top or an alternative possible clinical diagnosis, 117 had available autopsy data, including 98 with a primary pathological diagnosis of frontotemporal lobar degeneration (FTLD), 15 with Alzheimer's disease, and four with amyotrophic lateral sclerosis who lacked neurodegenerative disease-related pathology outside of the motor system. Patients with FTLD were distributed between FTLD-tau (34 patients: 10 corticobasal degeneration, nine progressive supranuclear palsy, eight Pick's disease, three frontotemporal dementia with parkinsonism associated with chromosome 17, three unclassifiable tauopathy, and one argyrophilic grain disease); FTLD-TDP (55 patients: nine type A including one with motor neuron disease, 27 type B including 21 with motor neuron disease, eight type C with right temporal lobe presentations, and 11 unclassifiable including eight with motor neuron disease), FTLD-FUS (eight patients), and one patient with FTLD-ubiquitin proteasome system positive inclusions (FTLD-UPS) that stained negatively for tau, TDP-43, and FUS. Alzheimer's disease was uncommon (6%) among patients whose only top diagnosis during follow-up was bvFTD. Seventy-nine per cent of FTLD-tau, 86% of FTLD-TDP, and 88% of FTLD-FUS met at least 'possible' bvFTD diagnostic criteria at first presentation. The frequency of the six core bvFTD diagnostic features was similar in FTLD-tau and FTLD-TDP, suggesting that these features alone cannot be used to separate patients by major molecular class. Voxel-based morphometry revealed that nearly all pathological subgroups and even individual patients share atrophy in anterior cingulate, frontoinsula, striatum, and amygdala, indicating that degeneration of these regions is intimately linked to the behavioural syndrome produced by these diverse aetiologies. In addition to these unifying features, symptom profiles also differed among pathological subtypes, suggesting distinct anatomical vulnerabilities and informing a clinician's prediction of pathological diagnosis. Data-driven classification into one of the 10 most common pathological diagnoses was most accurate (up to 60.2%) when using a combination of known predictive factors (genetic mutations, motor features, or striking atrophy patterns) and the results of a discriminant function analysis that incorporated clinical, neuroimaging, and neuropsychological data.