NCT06874231

Brief Summary

The main purpose of this project is to establish whether changes in brain connectivity can be used to predict the development of Alzheimer's disease (AD).

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
120

participants targeted

Target at P50-P75 for all trials

Timeline
15mo left

Started Apr 2023

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress72%
Apr 2023Jul 2027

Study Start

First participant enrolled

April 1, 2023

Completed
3 days until next milestone

First Submitted

Initial submission to the registry

April 4, 2023

Completed
1.9 years until next milestone

First Posted

Study publicly available on registry

March 13, 2025

Completed
2.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 31, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 31, 2027

Last Updated

March 17, 2025

Status Verified

April 1, 2024

Enrollment Period

4.3 years

First QC Date

April 4, 2023

Last Update Submit

March 12, 2025

Conditions

Keywords

MRICognitionMEG/EEGBiomarkers

Outcome Measures

Primary Outcomes (1)

  • Brain connectivity can predict the development of Alzheimer's disease

    The investigators will build a multilayer network for each patient using DWI and fMRI images, following a methodology similar to that described in Multiplex Connectome Changes Across the Alzheimer's Disease Spectrum Using Gray Matter and Amyloid Data. Specifically, each patient's brain connectivity will be modeled as a multiplex network, where distinct imaging modalities define different layers. The structural connectivity layer will be derived from diffusion-weighted imaging (DWI), capturing white matter fiber tract connections between brain regions. The functional connectivity layer will be built using functional MRI (fMRI), measuring temporal correlations of neural activity across regions. Nodes in the network will correspond to anatomically defined brain regions, and inter-layer edges will be established to link homologous regions across layers, enabling integration of structural and functional information.

    4 years

Secondary Outcomes (1)

  • Relationship between multilayer connectivity and other imaging sequences, cognition and biofluid biomarkers

    4 years

Study Arms (4)

SCI normal

Subjects with subjective cognitive impairment with normal amyloid levels.

Other: Neuroimaging

SCI abnormal

Subjects with subjective cognitive impairment with low amyloid levels.

Other: Neuroimaging

MCI abnormal

Subjects with mild cognitive impairment with low amyloid levels.

Other: Neuroimaging

AD abnormal

Subjects with Alzheimer's disease with low amyloid levels.

Other: Neuroimaging

Interventions

The investigators will collect imaging sequence, cognitive test scores, clinical data and biofluid samples

Also known as: Cognitive assessment
AD abnormalMCI abnormalSCI abnormalSCI normal

Eligibility Criteria

Age40 Years - 85 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Subjects across the AD continuum

You may qualify if:

  • MMSE (Mini-mental test) or MoCA (Montreal Cognitive Assessment) points between 26 and 30.
  • Absence of cognitive impairment.
  • Memory problems reported by the participant/family member.
  • Do not fulfill criteria for mild cognitive impairment or dementia.
  • Must speak and understand Swedish.
  • MMSE (Mini-mental test) or MoCA (Montreal Cognitive Assessment) points between 24 and 30.
  • Impaired memory function.
  • Do not fulfill criteria for dementia.
  • Must speak and understand Swedish.
  • Must have abnormal cerebrospinal fluid amyloid-β 42/40 ratio levels, which is a biomarker of Alzheimer's disease.
  • MMSE (Mini-mental test) or MoCA (Montreal Cognitive Assessment) points between 18 and 28.
  • Impaired memory function in addition to impaired executive abilities, language function, visuospatial ability and/or attention/psychomotor speed.
  • Meet NINCDS-ADRDA and DSM-IV criteria for probable Alzheimer's disease.
  • Must speak and understand Swedish.
  • Must have abnormal spinal fluid amyloid-β 42/40 ratio levels, which is a biomarker of Alzheimer's disease.

You may not qualify if:

  • Alcohol or drug abuse.
  • Unstable somatic disease or organ failure.
  • Refuse to cerebrospinal fluid testing and/or blood sampling, neuropsychological testing, brain imaging, electroencephalogram or magnetoencephalogram.
  • In addition, participants who have claustrophobia or some form of metal implant in their body that may interfere with the brain imaging scan will be excluded from the study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Karolinska University Hospital

Stockholm, Solna, 171 64, Sweden

RECRUITING

Biospecimen

Retention: SAMPLES WITHOUT DNA

Cerebrospinal fluid and blood plasma.

MeSH Terms

Conditions

Alzheimer Disease

Interventions

NeuroimagingMental Status and Dementia Tests

Condition Hierarchy (Ancestors)

DementiaBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesTauopathiesNeurodegenerative DiseasesNeurocognitive DisordersMental Disorders

Intervention Hierarchy (Ancestors)

Diagnostic ImagingDiagnostic Techniques and ProceduresDiagnosisDiagnostic Techniques, NeurologicalInvestigative TechniquesNeuropsychological TestsPsychological TestsBehavioral Disciplines and Activities

Central Study Contacts

Joana B. Pereira, PhD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

April 4, 2023

First Posted

March 13, 2025

Study Start

April 1, 2023

Primary Completion (Estimated)

July 31, 2027

Study Completion (Estimated)

July 31, 2027

Last Updated

March 17, 2025

Record last verified: 2024-04

Data Sharing

IPD Sharing
Will not share

Locations