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Kornak, John

https://orcid.org/0000-0002-0089-0619

A5027791567 | I180670191

Mayo Clinic

University of California, San Francisco

Citations 81

MRI-derived markers of disease progression in early versus late PSP and CBS (P3.181)

Neurology | December 7, 2023 | Volume: 90 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.90.15_supplement.p3.181

The Multidomain Impairment Rating (MIR) Scale: Initial Reliability Data on a Multidimensional Scale for FTLD (P5.1-010)

Neurology | December 7, 2023 | Volume: 92 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.92.15_supplement.p5.1-010

Characteristics and Progress on 369 Subjects in the Longitudinal Evaluation Familial Frontotemporal Dementia Subjects (LEFFTDS) Protocol (P5.1-009)

Neurology | December 7, 2023 | Volume: 92 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.92.15_supplement.p5.1-009

Progress and Participant Characterization in the Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL) Rare Disease Clinical Research Consortium (P5.1-008)

Neurology | December 7, 2023 | Volume: 92 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.92.15_supplement.p5.1-008

Utility of the FTLD-CDR in the mild FTLD: Data from the ARTFL/LEFFTDS Consortium (P3.1-001)

Neurology | December 7, 2023 | Volume: 92 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.92.15_supplement.p3.1-001

The Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL) North American Rare Disease Clinical Research Consortium: Progress and Characterization of Initial Participants (S49.002)

Neurology | December 7, 2023 | Volume: 88 | Issue: 16_supplement | Pages: No page available

10.1212/wnl.88.16_supplement.s49.002

Characteristics and Progress on the Initial 209 Subjects in the Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) Protocol (P2.088)

Neurology | December 7, 2023 | Volume: 88 | Issue: 16_supplement | Pages: No page available

10.1212/wnl.88.16_supplement.p2.088

The ARTFL LEFFTDS Frontotemporal Lobar Degeneration (ALLFTD) Protocol: Preliminary Data and Future Plans (2081)

Neurology | December 7, 2023 | Volume: 94 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.94.15_supplement.2081

The Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) Protocol: Known Kindreds and Preliminary Data (P5.003)

Neurology | December 6, 2023 | Volume: 84 | Issue: 14_supplement | Pages: No page available

10.1212/wnl.84.14_supplement.p5.003

Feasibility and acceptability of remote smartphone cognitive testing in frontotemporal dementia research

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | May 10, 2023 | Volume: 15 | Issue: 2 | Pages: No page available

10.1002/dad2.12423 | PMID 37180971

AbstractIntroductionRemote smartphone assessments of cognition, speech/language, and motor functioning in frontotemporal dementia (FTD) could enable decentralized clinical trials and improve access to research. We studied the feasibility and acceptability of remote smartphone data collection in FTD research using the ALLFTD Mobile App (ALLFTD‐mApp).MethodsA diagnostically mixed sample of 214 participants with FTD or from familial FTD kindreds (asymptomatic: CDR®+NACC‐FTLD = 0 [N = 101]; prodromal: 0.5 [N = 49]; symptomatic ≥1 [N = 51]; not measured [N = 13]) were asked to complete ALLFTD‐mApp tests on their smartphone three times within 12 days. They completed smartphone familiarity and participation experience surveys.ResultsIt was feasible for participants to complete the ALLFTD‐mApp on their own smartphones. Participants reported high smartphone familiarity, completed ∼ 70% of tasks, and considered the time commitment acceptable (98% of respondents). Greater disease severity was associated with poorer performance across several tests.DiscussionThese findings suggest that the ALLFTD‐mApp study protocol is feasible and acceptable for remote FTD research.HIGHLIGHTS The ALLFTD Mobile App is a smartphone‐based platform for remote, self‐administered data collection. The ALLFTD Mobile App consists of a comprehensive battery of surveys and tests of executive functioning, memory, speech and language, and motor abilities. Remote digital data collection using the ALLFTD Mobile App was feasible in a multicenter research consortium that studies FTD. Data was collected in healthy controls and participants with a range of diagnoses, particularly FTD spectrum disorders. Remote digital data collection was well accepted by participants with a variety of diagnoses.