Predicting Age From Brain EEG Signals-A Machine Learning Approach

Frontiers in Aging Neuroscience
Obada Al ZoubiJerzy Bodurka

Abstract

Objective: The brain age gap estimate (BrainAGE) is the difference between the estimated age and the individual chronological age. BrainAGE was studied primarily using MRI techniques. EEG signals in combination with machine learning (ML) approaches were not commonly used for the human age prediction, and BrainAGE. We investigated whether age-related changes are affecting brain EEG signals, and whether we can predict the chronological age and obtain BrainAGE estimates using a rigorous ML framework with a novel and extensive EEG features extraction. Methods: EEG data were obtained from 468 healthy, mood/anxiety, eating and substance use disorder participants (297 females) from the Tulsa-1000, a naturalistic longitudinal study based on Research Domain Criteria framework. Five sets of preprocessed EEG features across channels and frequency bands were used with different ML methods to predict age. Using a nested-cross-validation (NCV) approach and stack-ensemble learning from EEG features, the predicted age was estimated. The important features and their spatial distributions were deduced. Results: The stack-ensemble age prediction model achieved R2 = 0.37 (0.06), Mean Absolute Error (MAE) = 6.87(0.69) and RMSE = 8.46(0.59) in years...Continue Reading

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Citations

Sep 29, 2020·JAMA Network Open·Elissa YeM Brandon Westover
Oct 22, 2019·Frontiers in Computational Neuroscience·Clement DubostPierre-Paul Vidal
Feb 23, 2020·Medical & Biological Engineering & Computing·Chunguang LiLining Sun
Jun 11, 2019·Frontiers in Aging Neuroscience·Nicola AmorosoRoberto Bellotti
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Dec 5, 2019·NeuroImage. Clinical·Iman BeheshtiSimon Duchesne
Jan 6, 2021·NeuroImage. Clinical·Samantha V AbramSusanna L Fryer
Apr 20, 2020·Neurobiology of Aging·Xinyang FengUNKNOWN Frontotemporal Lobar Degeneration Neuroimaging Initiative
Apr 16, 2021·Biochemical Pharmacology·M PanagiotouT Deboer
May 1, 2021·Brain Sciences·Fabian SchwimmbeckYvonne Höller
Jan 25, 2022·Brain Topography·Muhammad Aamir PanhwarGhazala Panhwar

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Methods Mentioned

BETA
feature extraction
features extraction

Software Mentioned

MNE
ENEST
SVR
Deep Learning
caret
EEG BrainAGE
Partial Dependence Plot ( PDP )
BrainAGE
gaussprPoly
Matlab

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