Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jan;16(1):37-48.
doi: 10.1016/j.jalz.2019.04.007. Epub 2020 Jan 6.

Individualized atrophy scores predict dementia onset in familial frontotemporal lobar degeneration

Adam M Staffaroni  1 Yann Cobigo  1 Sheng-Yang M Goh  1 John Kornak  2 Lynn Bajorek  1 Kevin Chiang  1 Brian Appleby  3 Jessica Bove  4 Yvette Bordelon  5 Patrick Brannelly  6 Danielle Brushaber  7 Christina Caso  8 Giovanni Coppola  5   9 Reilly Dever  1 Christina Dheel  10 Bradford C Dickerson  11 Susan Dickinson  12 Sophia Dominguez  4 Kimiko Domoto-Reilly  8 Kelly Faber  13 Jessica Ferrall  14 Julie A Fields  15 Ann Fishman  16 Jamie Fong  1 Tatiana Foroud  13 Leah K Forsberg  10 Ralitza Gavrilova  10 Debra Gearhart  10 Behnaz Ghazanfari  17   18 Nupur Ghoshal  19 Jill Goldman  20   21 Jonathan Graff-Radford  10 Neill Graff-Radford  22 Ian Grant  23 Murray Grossman  4 Dana Haley  22 Hilary W Heuer  1 Ging-Yuek Hsiung  24 Edward D Huey  20   21 David J Irwin  4 David T Jones  10 Lynne Jones  25 Kejal Kantarci  26 Anna Karydas  1 Daniel I Kaufer  14 Diana R Kerwin  27   28 David S Knopman  10 Ruth Kraft  10 Joel H Kramer  1 Walter K Kremers  7 Walter A Kukull  29 Irene Litvan  30 Peter A Ljubenkov  1 Diane Lucente  11 Codrin Lungu  31 Ian R Mackenzie  32 Miranda Maldonado  5 Masood Manoochehri  20 Scott M McGinnis  11 Emily McKinley  33 Mario F Mendez  5   9 Bruce L Miller  1 Namita Multani  17   18 Chiadi Onyike  34 Jaya Padmanabhan  11 Alex Pantelyat  35 Rodney Pearlman  36 Len Petrucelli  37 Madeline Potter  13 Rosa Rademakers  37 Eliana Marisa Ramos  9 Katherine P Rankin  1 Katya Rascovsky  4 Erik D Roberson  33 Emily Rogalski  38 Pheth Sengdy  24 Leslie M Shaw  39 Jeremy Syrjanen  7 M Carmela Tartaglia  17   18 Nadine Tatton  12 Joanne Taylor  1 Arthur Toga  40 John Q Trojanowski  39 Sandra Weintraub  23 Ping Wang  1 Bonnie Wong  11 Zbigniew Wszolek  22 Adam L Boxer  1 Brad F Boeve  10 Howard J Rosen  1 ARTFL/LEFFTDS consortium
Affiliations

Individualized atrophy scores predict dementia onset in familial frontotemporal lobar degeneration

Adam M Staffaroni et al. Alzheimers Dement. 2020 Jan.

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.

Keywords: Frontotemporal dementia; Genetics; Magnetic resonance imaging (MRI); TDP-43; Tau.

PubMed Disclaimer

Figures

Fig. 1.
Fig. 1.
Steps to create W-score maps, W-volume masks, and W-burden masks. A linear regression was performed on a healthy control group (1A and 1B). A raw W-score map was then created for each subject (1C). Finally, each patient’s W-map was thresholded to produce the W-burden and W-volume masks (1D).
Fig. 2.
Fig. 2.
Individual W-maps for familial FTLD mutation carriers with CDR® plus NACC FTLD = 1. Axial slices displaying W-scores for 6 f-FTLD mutation carriers with (A) MAPT, (B) GRN, and (C) C9orf72 mutations. Abbreviations: FTLD, Frontotemporal lobar degeneration; CDR, Clinical Dementia Rating Scale; NACC, National Alzheimer’s Coordinating Center.
Fig. 3.
Fig. 3.
Distribution of weights in each ROI resulting from the optimization of the logistic regression model. This figure displays the fitted weights (coefficients) associated with each ROI in the logistic regression model. These weights were subsequently used to calculate prediction scores for the survival analysis. Abbreviation: ROI, Region of interest.
Fig. 4.
Fig. 4.
Prediction scores derived from the logistic regression model. Abbreviations: FTLD, frontotemporal lobar degeneration; CDR, Clinical Dementia Rating Scale.
Fig. 5.
Fig. 5.
Kaplan-Meier curve representing survival from CDR® plus NACC FTLD = (0 or 0.5) to 1+. Note: Hash marks indicate censored observations. Abbreviations: FTLD, Frontotemporal lobar degeneration; CDR, Clinical Dementia Rating Scale; NACC, National Alzheimer’s Coordinating Center.

References

    1. Reiman EM. Alzheimer disease in 2016: Putting AD treatments and biomarkers to the test. Nat Rev Neurol 2017;13:74–6. - PubMed
    1. Tsai RM, Boxer AL. Therapy and clinical trials in frontotemporal dementia: past, present, and future. J Neurochem 2016;138:211–21. - PMC - PubMed
    1. Bateman RJ, Xiong C, Benzinger TLS, Fagan AM, Goate A, Fox NC, et al. Clinical and biomarker changes in dominantly inherited Alzheimer’s Disease. N Engl J Med 2012;367:795–804. - PMC - PubMed
    1. Jack CR, Knopman DS, Jagust WJ, Shaw LM, Aisen PS, Weiner MW, et al. Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. Lancet Neurol 2010;9:119–28. - PMC - PubMed
    1. Das P, Verbeeck C, Minter L, Chakrabarty P, Felsenstein K, Kukar T, et al. Transient pharmacologic lowering of Aβ production prior to deposition results in sustained reduction of amyloid plaque pathology. Mol Neurodegener 2012;7:39. - PMC - PubMed

Publication types

MeSH terms