IRCCSS San Raffaele
Milan, Italy, 20132
NCT Number: NCT06826157
The study aims to use advanced brainwave recordings of electroencephalogram (EEG) to understand early signs of Alzheimer's disease (AD) in people with mild memory problems, known as amnestic Mild Cognitive Impairment (MCI). The goals of the study are to:
1. Find early markers of Alzheimer by analyzing EEG recordings, the researchers hope to identify patterns that indicate the presence of Alzheimer's disease. They will compare these patterns with other brain scans, like Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) scans, and look at different biological markers in the participants' spinal fluid and genetic data. 2. Predict the risk of Alzheimer's disease. The study will try to find EEG patterns that can predict whether someone with MCI will develop full-blown Alzheimer's disease. The aim is to create a system that combines EEG data with other brain scans and genetic information to better understand the risk of disease progression. 3. Track changes over time: The research will also monitor changes in brain activity and structure over time to understand how Alzheimer's disease progresses.
In addition to studying people with MCI, the researchers will also look at EEG patterns in people with mild Alzheimer's disease (MILD AD), frontotemporal dementia (FTD), and Lewy-body dementia (LBD) to see how these patterns differ across various brain conditions. This could help improve the accuracy of diagnosing these diseases and understanding their link to genetic factors.
Interested in participating?
Request Info50 year–85 year
All sexes
Interventional
Not applicable
Milan, Italy, 20132
The main aim of the project is to examine resting-state high definition EEG cortical sources of participants diagnosed with amnestic MCI with the goal of:
Researchers will explain further relationships through brain Positron Tomography Emission with fluorodeoxyglucose (PET-FDG) data performed during clinical diagnostic work-up and with Apolipoprotein E (APOE) gene profile.
The secondary aim of the project is to assess the accuracy of the Alzheimer-related EEG signal patterns identified in the MCI group. This will be done by comparing the EEG data with the APOE genetic information in a group of patients diagnosed with mild dementia due to Alzheimer's disease, frontotemporal dementia and Lewy-Body dementia
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
for all study subjects:
Inclusion criteria
for MCI patients:
Inclusion criteria
for patients with mild dementia:
Exclusion criteria
for patients:
Exclusion criteria
for healthy controls
EEGs will be acquired to explore progressive alteration of EEG patterns throughout the neuropathology progression.
MRI evaluations will be performed to investigate structural alterations and resting state functional MRI (RS-fMRI) connectivity in participants. Longitudinal measures of cortical/subcortical atrophy and RS-fMRI connectivity will be assessed and their relationship with EEG parameters will be explored.
At baseline, a sample of blood will be collected to perform genetic analysis (APOE alleles) for all participants
Time frame: 36 months
Source densities in resting-state high-definition EEG in patients with mild cognitive impairment, measured as cortical markers for differential diagnosis of dementias and prediction of conversion to full-blown dementia
Time frame: 36 months
Diagnostic accuracy of EEG markers in distinguishing Alzheimer's disease (AD) from other dementias (e.g., frontotemporal dementia, Lewy-body dementia), measured as the ability to correctly identify cases that are not Alzheimer's (e.g., frontotemporal dementia, Lewy-body dementia) compared to Alzheimer's cases.
Time frame: 36 months
Diagnostic accuracy of EEG markers in distinguishing Alzheimer's disease (AD) from other dementias measured as the ability to correctly identify cases that are not Alzheimer's (e.g., frontotemporal dementia, Lewy-body dementia) compared to Alzheimer's cases
Time frame: 36 months
Relationship with APOE genetic variants (e.g., presence of APOE ε4 allele), quantified through cortical source densities reconstructed using sLORETA.
IRCCS San Raffaele
Other
Assessing the Role of Advanced Electroencephalographic Data as Marker of Pathology and Prognosis in Primary Dementias
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT06978946
Alzheimer Disease, Basal Ganglia Diseases
Shanghai, Shanghai Municipality, China
View Trial DetailsNCT04748666
Alzheimer Disease, Basal Ganglia Diseases
College Station, Texas, United States
View Trial DetailsNCT02795052
ALS, Alzheimer Disease
Westport, Connecticut, United States
View Trial DetailsNCT03174938
ALS (Amyotrophic Lateral Sclerosis), Alzheimer Disease
Ängelholm, Sweden
View Trial Details