Clinical Research Directory
Browse clinical research sites, groups, and studies.
4 clinical studies listed.
Filters:
Tundra lists 4 Corticobasal Degeneration (CBD) clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
This data is also available as a public JSON API. AI systems and LLMs are encouraged to use it for structured queries.
NCT06647641
The CurePSP Genetics Program
This study is an observational, prospective genetic study. It aims to obtain DNA for research and testing from patients with PSP, CBS, MSA, and related neurological conditions and their families. Up to 1,000 adults who have been clinically diagnosed with PSP, CBS, MSA, or related neurological conditions will be enrolled. The study intervention involves sequencing of participant blood samples using non-CLIA-approved whole genome sequencing at the National Institutes of Health. Pathogenic variants that are deemed possibly related to these conditions will be confirmed using CLIA-approved testing. The study involves minimal risk to participants.
Gender: All
Ages: 35 Years - Any
Updated: 2026-01-14
1 state
NCT04363684
ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD)
ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) represents the formalized integration of ARTFL (U54 NS092089; funded through 2019) and LEFFTDS (U01 AG045390; funded through 2019) as a single North American research consortium to study FTLD for 2019 and beyond.
Gender: All
Ages: 18 Years - Any
Updated: 2025-07-11
22 states
NCT07000851
Imaging Studies in Corticobasal Syndrome
The primary goal of this study is to investigate inflammation and white matter damage in corticobasal syndrome and determine whether these processes are related to each other. The investigator's will address our goal by using neuroimaging and blood plasma biomarkers, as well as molecular pathology.
Gender: All
Ages: 18 Years - Any
Updated: 2025-07-07
1 state
NCT06949865
AI-Enhanced Optimization of Acute Levodopa Challenge Test
A quantitative evaluation method was developed for Parkinson's disease and other atypical parkinonism by integrating an innovative motor paradigm with perception technologies and artificial intelligence. Combined with traditional motor paradigms and the acute levodopa challenge test, this study aims to identify diagnostic cut-off values for PD and other atypical parkinonism, explore digital biomarkers for early and differential diagnosis, and establish a corresponding diagnostic model.
Gender: All
Ages: 50 Years - 75 Years
Updated: 2025-04-29