Neuroimaging: The investigators will collect imaging sequence, cognitive test scores, clinical data and biofluid samples
Study 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).
Eligibility
Sex
ALL
Min age
40 Years
Max age
85 Years
Healthy volunteers
Accepted
Inclusion Criteria:
1. Inclusion criteria for subjects with subjective cognitive complaints:
* 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.
2. Inclusion criteria for patients with mild cognitive impairment:
* 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.
3. Specific inclusion criteria for patients with 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.
Exclusion Criteria:
* 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.
Primary outcome measure(s)
Brain connectivity can predict the development of Alzheimer's disease — 4 years 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.
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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