Tracking and Predicting Neurodegeneration Spreading Across the Brain Connectome
| Registry | NCT07567664 |
|---|---|
| Status | Enrolling by invitation |
| Phase | Not applicable |
| Study type | Interventional; na, single group, masking: none, diagnostic |
| Enrollment | 645 (Estimated) |
| Sponsor | IRCCS San Raffaele (Other); collaborators: IRCCS Istituto delle Scienze Neurologiche di Bologna, Azienda Ospedaliera San Gerardo di Monza, Istituto Auxologico Italiano |
| Conditions | Neurodegenerative Disease, Behavioral Variant Frontotemporal Dementia (bvFTD), Primary Progressive Aphasia(PPA), Progressive Supranuclear Palsy(PSP), Amyotrophic Lateral Sclerosis (ALS), Cortical Basal Syndrome (CBS) |
| Interventions | 3 Tesla MRI without contrast medium, Blood sample for genetic analysis, Cerebrospinal fluid sampling (CSF), Neurological evaluation, Neuropsychological evaluation (Diagnostic test, genetic) |
| Dates | start 2017-06-01, primary completion 2027-02-15 (estimated), completion 2027-03-01 (estimated), first posted 2026-05-05, last updated 2026-05-05 |
| Locations | 1 site in Italy |
Related Papers Related Patents Related Grants Related Experts
All trials for Neurodegenerative Disease All trials for Behavioral Variant Frontotemporal Dementia (bvFTD) All trials of 3 Tesla MRI without contrast medium All trials of Blood sample for genetic analysis
Neurodegenerative diseases, including frontotemporal lobar degeneration (FTLD) spectrum syndromes, are characterized by the accumulation of insoluble protein aggregates in the central nervous system. A common feature of these diseases is that pathological changes accumulate over time following a stereotyped spatial pattern, which contributes to the onset and progression of clinical symptoms. Until recently, the causes of such progression were still unknown. Recent pathological and neuroimaging studies have, however, suggested that insoluble and pathological protein aggregates are able to alter the conformation of neighboring proteins and spread through cell-to-cell transmission. According to this theory, called the 'brain connectome,' the brain network is established as a set of nodes, which correspond to different anatomical regions.
These brain networks are highly connected to each other and their internal organization is fundamental for an efficient integration of information coming from different regions and to guarantee adequate levels of motor/cognitive performance. Thanks to magnetic resonance studies and research in the field of brain networks, it is possible to understand the pathophysiology of neurodegenerative diseases and reveal the connectivity profiles associated with different clinical outcomes.
The main objective of this project is to explore the mechanisms of neurodegeneration associated with the different FTLD spectrum syndromes, and in particular the hypothesis that the neurodegenerative process is driven by the structural architecture of the brain 'connectome'. The ultimate goal is to apply mathematical models to structural and functional connectivity data to predict the evolution of the neurodegenerative process in sporadic and genetic forms of Frontotemporal Lobar Degeneration Disease.
This study aims to investigate the spatiotemporal progression of neurodegeneration in frontotemporal lobar degeneration (FTLD) using advanced neuroimaging and connectomics. 360 patients with sporadic FTLD (including bvFTD, semantic and nonfluent PPA, PSPs, CBS, and ALS) and 65 patients with genetic FTLD (MAPT, GRN, and C9orf72 mutati will be enrolled. The study also plans to enroll 120 subjects who are members of families carrying FLTD-associated mutations (including 60 mutation carriers). Finally, 100 healthy controls will also be enrolled, including 50 young healthy controls and 50 healthy controls comparable with patients by sex and age. Participants will undergo clinical, neuropsychological, and behavioral assessments, blood and Cerebrospinal fluid (CSF) collection, and multimodal 3Tesla Magnetic Resonance Imaging MRI at baseline and every 6 months for up to 2 years. Primary objectives include mapping longitudinal changes in structural and functional brain networks, developing predictive models of network degeneration and clinical decline, and characterizing protein-specific patterns of network degeneration. Secondary aims include identifying early network biomarkers in presymptomatic carriers and correlating network changes with biological markers.
| Arm | Type | Interventions | Description |
|---|---|---|---|
| Participants with the spectrum of FTLD, asymptomatic familiar, healthy elderly and young controls | Experimental | Diagnostic Test: 3 Tesla MRI without contrast medium; Genetic: Blood sample for genetic analysis; Diagnostic Test: Cerebrospinal fluid sampling (CSF); Diagnostic Test: Neurological evaluation; Diagnostic Test: Neuropsychological evaluation | Partecipants affected by behavioral variant of FTLD (bvFTD), primary progressive aphasia (PPA), semantic variant of PPA (svPPA), non-fluent variant of PPA (nfvPPA), progressive supranuclear paralysis (PSP), corticobasal syndrome (CBS), amyotrophic lateral sclerosis (ALS), genetic and sporadic FTLD. Asymptomatic familiar. Healthy elderly and young controls. |
Sex: All, ages: 20 Years to 85 Years, accepts healthy volunteers
Inclusion Criteria: Adult participants, under 85 years of age, diagnosed with bvFTD, semantic variant PPA, non-fluent variant PPA, PSP, CBS, and early-stage ALS, according to the criteria of Rascovsky (2011), Gorno-Tempini (2011), Litvan (1996), Armstrong (2013), and Brooks (2000), respectively; Participants with genetic forms of FTLD associated with mutations in the c9orf72, GRN, MAPT genes, and asymptomatic family members related to FTLD patients carrying such mutations Healthy participants (age between 20 and 30 years old); Healthy participants matched to patients for age and sex Exclusion Criteria: * Participants with a history of other neurological and/or psychiatric disorders, head trauma, alcohol or psychoactive substance use, or a family history of other neurodegenerative diseases.
| Facility | City | Country | Status |
|---|---|---|---|
| IRCCS San Raffaele | Milan, Lombardy | Italy |