The Role of Advanced Electroencephalographic Data as Marker of Pathology and Prognosis in Primary Dementias
NCT ID: NCT06826157
Last Updated: 2025-02-17
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ENROLLING_BY_INVITATION
NA
175 participants
INTERVENTIONAL
2021-11-05
2027-01-01
Brief Summary
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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.
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Detailed Description
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\- exploring EEG-markers of Alzheimer's disease pathology and their relationships with both conventional and non-conventional brain MRI data. Researchers will explore these relationships after grouping participants according to their cerebrospinal fluid (CSF) biomarkers profile.
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.
* prospectively identifying EEG-markers predictive of clinical conversion to full-blown AD dementia and defining an algorithm for risk stratification by combining them with brain MRI, brain FDG-PET and genetic data;
* assessing the longitudinal changes of electrophysiological and MRI signals throughout the AD neuropathology progression;
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
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Clinical, EEG, brain MRI and genetic evaluations
Participants will be screened to evaluate their eligibility. They will undergo clinical and cognitive assessments in addition to 32-channel EEG and 3 Tesla MRI at baseline (T0) and every year for 3 years. Furthermore, at baseline, a known genetic risk factors for AD will be explored (e., APOE gene profile).
Electroencephalogram
EEGs will be acquired to explore progressive alteration of EEG patterns throughout the neuropathology progression.
3 Tesla MRI
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.
Apolipoprotein E genetic test
At baseline, a sample of blood will be collected to perform genetic analysis (APOE alleles) for all participants
Interventions
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Electroencephalogram
EEGs will be acquired to explore progressive alteration of EEG patterns throughout the neuropathology progression.
3 Tesla MRI
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.
Apolipoprotein E genetic test
At baseline, a sample of blood will be collected to perform genetic analysis (APOE alleles) for all participants
Eligibility Criteria
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Inclusion Criteria
* monolingual native Italian speakers;
* age between 50-85 years old;
* normal or corrected-to-normal visual acuity;
* oral and written informed consent to study participation.
* if assuming psychotropic drugs (i.e., benzodiazepines, antipsychotics, antidepressants), they should be at stable dosage for more than 4 weeks.
* diagnosis of amnestic MCI;
* mini Mental State Examination (MMSE) score ≥ 24;
* if assuming anticholinesterase inhibitors (i.e., galantamine, rivastigmine, donepezil) or memantine, they should be at stable dosage for more than 4 weeks;
* available CSF AD biomarkers.
* diagnosis of AD dementia, FTD or LBD.
* MMSE score ≥ 15;
* if assuming anticholinesterase inhibitors (i.e., galantamine, rivastigmine, donepezil) or memantine, they should be at stable dosage for more than 4 weeks.
Exclusion Criteria
* very rapid cognitive decline that occurs over weeks or months, typically indicative of prion disease, neoplasm or metabolic disorders;
* history of other systemic (including systemic neoplasms in the last 3 years and abnormal hepatorenal functions), neurologic (including epilepsy), psychiatric diseases, head injury, cardiovascular events, and cerebrovascular alterations;
* alcohol and/or psychotropic drugs abuse;
* enrolment in clinical trials testing disease-modifying drugs for AD during study;
* contraindications to MRI study:
1. Cardiac pacemakers or other types of cardiac catheters;
2. metal splinters or fragments;
3. metal prostheses not compatible with the magnetic field generated during MRI;
4. claustrophobia.
* Women who are pregnant or intending to become pregnant during the study; breastfeeding women.
* History of other systemic (including systemic neoplasms in the last 3 years and abnormal hepatorenal functions), neurologic (including epilepsy), psychiatric diseases, head injury, cardiovascular events, and cerebrovascular alterations;
* alcohol and/or psychotropic drugs abuse;
* contraindications to MRI study (see above);
* women who are pregnant or intending to become pregnant during the study; breastfeeding women.
50 Years
85 Years
ALL
Yes
Sponsors
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IRCCS San Raffaele
OTHER
Responsible Party
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Prof. Massimo Filippi
MD, Professor
Principal Investigators
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Massimo MF Filippi, MD
Role: PRINCIPAL_INVESTIGATOR
IRCCS Ospedale San Raffaele
Locations
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IRCCSS San Raffaele
Milan, Italy, Italy
Countries
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References
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Pascual-Marqui RD. Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization. 2007.
Teipel SJ, Kurth J, Krause B, Grothe MJ; Alzheimer's Disease Neuroimaging Initiative. The relative importance of imaging markers for the prediction of Alzheimer's disease dementia in mild cognitive impairment - Beyond classical regression. Neuroimage Clin. 2015 May 21;8:583-93. doi: 10.1016/j.nicl.2015.05.006. eCollection 2015.
International AsD. World Alzheimer Report 2019: Attitudes to dementia. London: Alzheimer's Disease International, 2019
Cecchetti G, Agosta F, Basaia S, Cividini C, Cursi M, Santangelo R, Caso F, Minicucci F, Magnani G, Filippi M. Resting-state electroencephalographic biomarkers of Alzheimer's disease. Neuroimage Clin. 2021;31:102711. doi: 10.1016/j.nicl.2021.102711. Epub 2021 May 29.
McKeith IG, Boeve BF, Dickson DW, Halliday G, Taylor JP, Weintraub D, Aarsland D, Galvin J, Attems J, Ballard CG, Bayston A, Beach TG, Blanc F, Bohnen N, Bonanni L, Bras J, Brundin P, Burn D, Chen-Plotkin A, Duda JE, El-Agnaf O, Feldman H, Ferman TJ, Ffytche D, Fujishiro H, Galasko D, Goldman JG, Gomperts SN, Graff-Radford NR, Honig LS, Iranzo A, Kantarci K, Kaufer D, Kukull W, Lee VMY, Leverenz JB, Lewis S, Lippa C, Lunde A, Masellis M, Masliah E, McLean P, Mollenhauer B, Montine TJ, Moreno E, Mori E, Murray M, O'Brien JT, Orimo S, Postuma RB, Ramaswamy S, Ross OA, Salmon DP, Singleton A, Taylor A, Thomas A, Tiraboschi P, Toledo JB, Trojanowski JQ, Tsuang D, Walker Z, Yamada M, Kosaka K. Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium. Neurology. 2017 Jul 4;89(1):88-100. doi: 10.1212/WNL.0000000000004058. Epub 2017 Jun 7.
Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J, van Swieten JC, Seelaar H, Dopper EG, Onyike CU, Hillis AE, Josephs KA, Boeve BF, Kertesz A, Seeley WW, Rankin KP, Johnson JK, Gorno-Tempini ML, Rosen H, Prioleau-Latham CE, Lee A, Kipps CM, Lillo P, Piguet O, Rohrer JD, Rossor MN, Warren JD, Fox NC, Galasko D, Salmon DP, Black SE, Mesulam M, Weintraub S, Dickerson BC, Diehl-Schmid J, Pasquier F, Deramecourt V, Lebert F, Pijnenburg Y, Chow TW, Manes F, Grafman J, Cappa SF, Freedman M, Grossman M, Miller BL. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011 Sep;134(Pt 9):2456-77. doi: 10.1093/brain/awr179. Epub 2011 Aug 2.
McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR Jr, Kawas CH, Klunk WE, Koroshetz WJ, Manly JJ, Mayeux R, Mohs RC, Morris JC, Rossor MN, Scheltens P, Carrillo MC, Thies B, Weintraub S, Phelps CH. The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011 May;7(3):263-9. doi: 10.1016/j.jalz.2011.03.005. Epub 2011 Apr 21.
Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, Gamst A, Holtzman DM, Jagust WJ, Petersen RC, Snyder PJ, Carrillo MC, Thies B, Phelps CH. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011 May;7(3):270-9. doi: 10.1016/j.jalz.2011.03.008. Epub 2011 Apr 21.
Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, Holtzman DM, Jagust W, Jessen F, Karlawish J, Liu E, Molinuevo JL, Montine T, Phelps C, Rankin KP, Rowe CC, Scheltens P, Siemers E, Snyder HM, Sperling R; Contributors. NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement. 2018 Apr;14(4):535-562. doi: 10.1016/j.jalz.2018.02.018.
Other Identifiers
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DEMEEG
Identifier Type: -
Identifier Source: org_study_id
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