Individualized atrophy scores predict dementia onset in familial frontotemporal lobar degeneration. Issue 1 (6th January 2020)
- Record Type:
- Journal Article
- Title:
- Individualized atrophy scores predict dementia onset in familial frontotemporal lobar degeneration. Issue 1 (6th January 2020)
- Main Title:
- Individualized atrophy scores predict dementia onset in familial frontotemporal lobar degeneration
- Authors:
- Staffaroni, Adam M.
Cobigo, Yann
Goh, Sheng‐Yang M.
Kornak, John
Bajorek, Lynn
Chiang, Kevin
Appleby, Brian
Bove, Jessica
Bordelon, Yvette
Brannelly, Patrick
Brushaber, Danielle
Caso, Christina
Coppola, Giovanni
Dever, Reilly
Dheel, Christina
Dickerson, Bradford C.
Dickinson, Susan
Dominguez, Sophia
Domoto‐Reilly, Kimiko
Faber, Kelly
Ferrall, Jessica
Fields, Julie A.
Fishman, Ann
Fong, Jamie
Foroud, Tatiana
Forsberg, Leah K.
Gavrilova, Ralitza
Gearhart, Debra
Ghazanfari, Behnaz
Ghoshal, Nupur
Goldman, Jill
Graff‐Radford, Jonathan
Graff‐Radford, Neill
Grant, Ian
Grossman, Murray
Haley, Dana
Heuer, Hilary W.
Hsiung, Ging‐Yuek
Huey, Edward D.
Irwin, David J.
Jones, David T.
Jones, Lynne
Kantarci, Kejal
Karydas, Anna
Kaufer, Daniel I.
Kerwin, Diana R.
Knopman, David S.
Kraft, Ruth
Kramer, Joel H.
Kremers, Walter K.
Kukull, Walter A.
Litvan, Irene
Ljubenkov, Peter A.
Lucente, Diane
Lungu, Codrin
Mackenzie, Ian R.
Maldonado, Miranda
Manoochehri, Masood
McGinnis, Scott M.
McKinley, Emily
Mendez, Mario F.
Miller, Bruce L.
Multani, Namita
Onyike, Chiadi
Padmanabhan, Jaya
Pantelyat, Alex
Pearlman, Rodney
Petrucelli, Len
Potter, Madeline
Rademakers, Rosa
Ramos, Eliana Marisa
Rankin, Katherine P.
Rascovsky, Katya
Roberson, Erik D.
Rogalski, Emily
Sengdy, Pheth
Shaw, Leslie M.
Syrjanen, Jeremy
Tartaglia, M. Carmela
Tatton, Nadine
Taylor, Joanne
Toga, Arthur
Trojanowski, John Q.
Weintraub, Sandra
Wang, Ping
Wong, Bonnie
Wszolek, Zbigniew
Boxer, Adam L.
Boeve, Brad F.
Rosen, Howard J.
… (more) - Abstract:
- Abstract: Introduction: Some models of therapy for neurodegenerative diseases envision starting treatment before symptoms develop. Demonstrating that such treatments are effective requires accurate knowledge of when symptoms would have started without treatment. Familial frontotemporal lobar degeneration offers a unique opportunity to develop predictors of symptom onset. Methods: We created dementia risk scores in 268 familial frontotemporal lobar degeneration family members by entering covariate‐adjusted standardized estimates of brain atrophy into a logistic regression to classify asymptomatic versus demented participants. The score's predictive value was tested in a separate group who were followed up longitudinally (stable vs. converted to dementia) using Cox proportional regressions with dementia risk score as the predictor. Results: Cross‐validated logistic regression achieved good separation of asymptomatic versus demented (accuracy = 90%, SE = 0.06). Atrophy scores predicted conversion from asymptomatic or mildly/questionably symptomatic to dementia (HR = 1.51, 95% CI: [1.16, 1.98]). Discussion: Individualized quantification of baseline brain atrophy is a promising predictor of progression in asymptomatic familial frontotemporal lobar degeneration mutation carriers.
- Is Part Of:
- Alzheimer's & dementia. Volume 16:Issue 1(2020)
- Journal:
- Alzheimer's & dementia
- Issue:
- Volume 16:Issue 1(2020)
- Issue Display:
- Volume 16, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2020-0016-0001-0000
- Page Start:
- 37
- Page End:
- 48
- Publication Date:
- 2020-01-06
- Subjects:
- Frontotemporal dementia -- Genetics -- Magnetic resonance imaging (MRI) -- Tau -- TDP‐43
Alzheimer's disease -- Periodicals
Alzheimer Disease -- Periodicals
Dementia -- Periodicals
Démence
Maladie d'Alzheimer
Périodique électronique (Descripteur de forme)
Ressource Internet (Descripteur de forme)
616.83 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15525260 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jalz.2019.04.007 ↗
- Languages:
- English
- ISSNs:
- 1552-5260
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0806.255333
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- 13195.xml