OBJECTIVE: To use multiple serial MRI to assess rates and trajectories of brain and hippocampal atrophy in subjects with frontotemporal dementia (FTD) with progranulin (GRN) or microtubule-associated protein tau (MAPT) gene mutations. METHODS: In this case-control study, we identified 8 subjects with mutations in GRN and 12 subjects with mutations in MAPT who had at least 2 serial MRIs. Serial MRIs were registered to baseline MRI for each subject using 9 df registration and rate of whole brain atrophy was calculated using the boundary-shift integral. Hippocampal volume was measured using Freesurfer. Mixed effects linear regression models were used to model volume change over time in both groups after adjusting for head size, age at baseline, and disease duration at baseline. RESULTS: The annual rate of whole brain atrophy in the MAPT subjects was 2.4% per year (95% confidence interval [CI] 1.9-2.8). The GRN subjects showed a higher rate of whole brain atrophy at 3.5% per year (95% CI 2.8-4.2; p = 0.01). Rates of hippocampal atrophy were not different across the groups (MAPT = 7.8% [95% CI 3.9-12], GRN = 6.5% [95% CI 1.7-11], p = 0.66). Rates of whole brain atrophy in GRN, and hippocampal atrophy in MAPT, were associated with age, with older subjects showing slower rates of atrophy (p = 0.01 and p < 0.001). CONCLUSIONS: Subjects with FTD with GRN mutations have a faster rate of whole brain atrophy than subjects with FTD with MAPT mutations, with similar rates of hippocampal atrophy. Rates of atrophy in both groups were associated with age. These findings are important for future treatment trials in FTD that use rates of atrophy as an outcome measure.
OBJECTIVE: To use multiple serial MRI to assess rates and trajectories of brain and hippocampal atrophy in subjects with frontotemporal dementia (FTD) with progranulin (GRN) or microtubule-associated protein tau (MAPT) gene mutations. METHODS: In this case-control study, we identified 8 subjects with mutations in GRN and 12 subjects with mutations in MAPT who had at least 2 serial MRIs. Serial MRIs were registered to baseline MRI for each subject using 9 df registration and rate of whole brain atrophy was calculated using the boundary-shift integral. Hippocampal volume was measured using Freesurfer. Mixed effects linear regression models were used to model volume change over time in both groups after adjusting for head size, age at baseline, and disease duration at baseline. RESULTS: The annual rate of whole brain atrophy in the MAPT subjects was 2.4% per year (95% confidence interval [CI] 1.9-2.8). The GRN subjects showed a higher rate of whole brain atrophy at 3.5% per year (95% CI 2.8-4.2; p = 0.01). Rates of hippocampal atrophy were not different across the groups (MAPT = 7.8% [95% CI 3.9-12], GRN = 6.5% [95% CI 1.7-11], p = 0.66). Rates of whole brain atrophy in GRN, and hippocampal atrophy in MAPT, were associated with age, with older subjects showing slower rates of atrophy (p = 0.01 and p < 0.001). CONCLUSIONS: Subjects with FTD with GRN mutations have a faster rate of whole brain atrophy than subjects with FTD with MAPT mutations, with similar rates of hippocampal atrophy. Rates of atrophy in both groups were associated with age. These findings are important for future treatment trials in FTD that use rates of atrophy as an outcome measure.
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Authors: J L Whitwell; C R Jack; B F Boeve; M L Senjem; M Baker; R Rademakers; R J Ivnik; D S Knopman; Z K Wszolek; R C Petersen; K A Josephs Journal: Neurology Date: 2009-03-03 Impact factor: 9.910
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Authors: J L Whitwell; C R Jack; B F Boeve; M L Senjem; M Baker; R J Ivnik; D S Knopman; Z K Wszolek; R C Petersen; R Rademakers; K A Josephs Journal: Neurology Date: 2009-09-29 Impact factor: 9.910
Authors: Jennifer L Whitwell; Clifford R Jack; Joseph E Parisi; David S Knopman; Bradley F Boeve; Ronald C Petersen; Tanis J Ferman; Dennis W Dickson; Keith A Josephs Journal: Brain Date: 2007-03-08 Impact factor: 13.501
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Authors: J L Whitwell; B F Boeve; S D Weigand; M L Senjem; J L Gunter; M C Baker; M DeJesus-Hernandez; D S Knopman; Z K Wszolek; R C Petersen; R Rademakers; C R Jack; K A Josephs Journal: Eur J Neurol Date: 2015-02-12 Impact factor: 6.089
Authors: Qin Chen; Bradley F Boeve; Matthew Senjem; Nirubol Tosakulwong; Timothy Lesnick; Danielle Brushaber; Christina Dheel; Julie Fields; Leah Forsberg; Ralitza Gavrilova; Debra Gearhart; Jonathan Graff-Radford; Neill Graff-Radford; Clifford R Jack; David Jones; David Knopman; Walter K Kremers; Maria Lapid; Rosa Rademakers; Eliana Marisa Ramos; Jeremy Syrjanen; Adam L Boxer; Howie Rosen; Zbigniew K Wszolek; Kejal Kantarci Journal: Neurobiol Aging Date: 2019-12-12 Impact factor: 4.673
Authors: Adam L Boxer; Michael Gold; Edward Huey; William T Hu; Howard Rosen; Joel Kramer; Fen-Biao Gao; Edward A Burton; Tiffany Chow; Aimee Kao; Blair R Leavitt; Bruce Lamb; Megan Grether; David Knopman; Nigel J Cairns; Ian R Mackenzie; Laura Mitic; Erik D Roberson; Daniel Van Kammen; Marc Cantillon; Kathleen Zahs; George Jackson; Stephen Salloway; John Morris; Gary Tong; Howard Feldman; Howard Fillit; Susan Dickinson; Zaven S Khachaturian; Margaret Sutherland; Susan Abushakra; Joseph Lewcock; Robert Farese; Robert O Kenet; Frank Laferla; Steve Perrin; Steve Whitaker; Lawrence Honig; Marsel M Mesulam; Brad Boeve; Murray Grossman; Bruce L Miller; Jeffrey L Cummings Journal: Alzheimers Dement Date: 2012-10-10 Impact factor: 21.566