TY - JOUR
T1 - Structural MRI predicts clinical progression in presymptomatic genetic frontotemporal dementia
T2 - findings from the GENetic Frontotemporal dementia Initiative cohort
AU - Genetic Frontotemporal dementia Initiative (GENFI)
AU - Bocchetta, Martina
AU - Todd, Emily G.
AU - Bouzigues, Arabella
AU - Cash, David M.
AU - Nicholas, Jennifer M.
AU - Convery, Rhian S.
AU - Russell, Lucy L.
AU - Thomas, David L.
AU - Malone, Ian B.
AU - Iglesias, Juan Eugenio
AU - van Swieten, John C.
AU - Jiskoot, Lize C.
AU - Seelaar, Harro
AU - Borroni, Barbara
AU - Galimberti, Daniela
AU - Sanchez-Valle, Raquel
AU - Laforce, Robert
AU - Moreno, Fermin
AU - Synofzik, Matthis
AU - Graff, Caroline
AU - Masellis, Mario
AU - Tartaglia, Maria Carmela
AU - Rowe, James B.
AU - Vandenberghe, Rik
AU - Finger, Elizabeth
AU - Tagliavini, Fabrizio
AU - de Mendonça, Alexandre
AU - Santana, Isabel
AU - Butler, Chris R.
AU - Ducharme, Simon
AU - Gerhard, Alexander
AU - Danek, Adrian
AU - Levin, Johannes
AU - Otto, Markus
AU - Sorbi, Sandro
AU - Le Ber, Isabelle
AU - Pasquier, Florence
AU - Rohrer, Jonathan D.
AU - Esteve, Aitana Sogorb
AU - Nelson, Annabel
AU - Heller, Carolin
AU - Greaves, Caroline V.
AU - Benotmane, Hanya
AU - Zetterberg, Henrik
AU - Swift, Imogen J.
AU - Samra, Kiran
AU - Shafei, Rachelle
AU - Maruta, Carolina
AU - do Couto, Frederico Simões
AU - Almeida, Maria Rosario
N1 - Publisher Copyright:
© 2023 The Author(s). Published by Oxford University Press on behalf of the Guarantors of Brain.
PY - 2023
Y1 - 2023
N2 - Biomarkers that can predict disease progression in individuals with genetic frontotemporal dementia are urgently needed. We aimed to identify whether baseline MRI-based grey and white matter abnormalities are associated with different clinical progression profiles in presymptomatic mutation carriers in the GENetic Frontotemporal dementia Initiative. Three hundred eighty-seven mutation carriers were included (160 GRN, 160 C9orf72, 67 MAPT), together with 240 non-carrier cognitively normal controls. Cortical and subcortical grey matter volumes were generated using automated parcellation methods on volumetric 3T T1-weighted MRI scans, while white matter characteristics were estimated using diffusion tensor imaging. Mutation carriers were divided into two disease stages based on their global CDR®+NACC-FTLD score: presymptomatic (0 or 0.5) and fully symptomatic (1 or greater). The w-scores in each grey matter volumes and white matter diffusion measures were computed to quantify the degree of abnormality compared to controls for each presymptomatic carrier, adjusting for their age, sex, total intracranial volume, and scanner type. Presymptomatic carriers were classified as 'normal' or 'abnormal' based on whether their grey matter volume and white matter diffusion measure w-scores were above or below the cut point corresponding to the 10th percentile of the controls. We then compared the change in disease severity between baseline and one year later in both the 'normal' and 'abnormal' groups within each genetic subtype, as measured by the CDR®+NACC-FTLD sum-of-boxes score and revised Cambridge Behavioural Inventory total score. Overall, presymptomatic carriers with normal regional w-scores at baseline did not progress clinically as much as those with abnormal regional w-scores. Having abnormal grey or white matter measures at baseline was associated with a statistically significant increase in the CDR®+NACC-FTLD of up to 4 points in C9orf72 expansion carriers, and 5 points in the GRN group as well as a statistically significant increase in the revised Cambridge Behavioural Inventory of up to 11 points in MAPT, 10 points in GRN, and 8 points in C9orf72 mutation carriers. Baseline regional brain abnormalities on MRI in presymptomatic mutation carriers are associated with different profiles of clinical progression over time. These results may be helpful to inform stratification of participants in future trials.
AB - Biomarkers that can predict disease progression in individuals with genetic frontotemporal dementia are urgently needed. We aimed to identify whether baseline MRI-based grey and white matter abnormalities are associated with different clinical progression profiles in presymptomatic mutation carriers in the GENetic Frontotemporal dementia Initiative. Three hundred eighty-seven mutation carriers were included (160 GRN, 160 C9orf72, 67 MAPT), together with 240 non-carrier cognitively normal controls. Cortical and subcortical grey matter volumes were generated using automated parcellation methods on volumetric 3T T1-weighted MRI scans, while white matter characteristics were estimated using diffusion tensor imaging. Mutation carriers were divided into two disease stages based on their global CDR®+NACC-FTLD score: presymptomatic (0 or 0.5) and fully symptomatic (1 or greater). The w-scores in each grey matter volumes and white matter diffusion measures were computed to quantify the degree of abnormality compared to controls for each presymptomatic carrier, adjusting for their age, sex, total intracranial volume, and scanner type. Presymptomatic carriers were classified as 'normal' or 'abnormal' based on whether their grey matter volume and white matter diffusion measure w-scores were above or below the cut point corresponding to the 10th percentile of the controls. We then compared the change in disease severity between baseline and one year later in both the 'normal' and 'abnormal' groups within each genetic subtype, as measured by the CDR®+NACC-FTLD sum-of-boxes score and revised Cambridge Behavioural Inventory total score. Overall, presymptomatic carriers with normal regional w-scores at baseline did not progress clinically as much as those with abnormal regional w-scores. Having abnormal grey or white matter measures at baseline was associated with a statistically significant increase in the CDR®+NACC-FTLD of up to 4 points in C9orf72 expansion carriers, and 5 points in the GRN group as well as a statistically significant increase in the revised Cambridge Behavioural Inventory of up to 11 points in MAPT, 10 points in GRN, and 8 points in C9orf72 mutation carriers. Baseline regional brain abnormalities on MRI in presymptomatic mutation carriers are associated with different profiles of clinical progression over time. These results may be helpful to inform stratification of participants in future trials.
KW - Brain volumetry
KW - Diffusion imaging
KW - Genetic frontotemporal dementia
KW - MRI imaging
KW - Presymptomatic stage
UR - http://www.scopus.com/inward/record.url?scp=85153397481&partnerID=8YFLogxK
U2 - 10.1093/braincomms/fcad061
DO - 10.1093/braincomms/fcad061
M3 - Article
C2 - 36970046
AN - SCOPUS:85153397481
SN - 2632-1297
VL - 5
JO - Brain Communications
JF - Brain Communications
IS - 2
M1 - fcad061
ER -