Brain Age Prediction in Developing Childhood with Multimodal Magnetic Resonance Images

Prediction of chronological age from resting-state EEG power in the first three years of life

“…Resting EEG 0 -3 938 0.82 0.19 (0 -2 years) 0.25 (0 -3 years) [14] sMRI 0 -2 76 0.79 0.15 (0 -2 years) [15] sMRI 0 -5 220 0.97 0.19 (0 -5 years) [16] sMRI 0 -3 658 0.85 0.19 (0 -3 years) [12] Resting M/EEG 0 -95 2540 0.74 > 6.48 (0 -95 years) [11] Sleep EEG 0 -18 1056 0.96 ∼ 0.25 (0 -2 years) Table 2 Model performance comparison with literature MAE: mean absolute error; sMRI: structural MRI early, dynamic changes in the brain; once brain networks are more established in the second and third year, the power spectra becomes relatively stable [28]. This may explain the increased error variance at older ages.…”

“…From the aperiodic component, we extract two features in each ROI: total power and exponent. From the periodic component, first, we extracted six features of power, one for each canonical frequency band: theta (4 -6 Hz), low alpha (6 -9 Hz), high alpha (9 -12 Hz), low beta (12)(13)(14)(15)(16)(17)(18)(19)(20), high beta (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), and gamma (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45). Second, we analyzed the periodic component within the broad alpha (4 -12) and broad beta (14 -45) bands, as we observed a strong age effect on the shape of PSD in these bands.…”

“…This limited study of early development prevents a fine-grained evaluation of brain milestones critical for developmental processes and reduces opportunities to develop clinical tools effective for early screening. In addition, no published studies have utilized EEG to predict age specifically in infants and toddlers, and only a handful have been published utilizing structural MRI and diffusion tensor imaging [14][15][16]. Finally, predictive brain age studies often do not include investigation of feature importance within machine learning models, preventing identification and characterization of features relevant to developmental brain maturation.…”