Studying Neural Correlates of Music Features in the Early Years Education and Development Process: A Preliminary Understanding based on a Taxonomical Classification and Logistic Regression Analysis

Key Challenges and Future Directions When Running Auditory Brainstem Response (ABR) Research Protocols with Newborns: A Music and Language EEG Feasibility Study

“…It has been found that in the first weeks and months of human development, specific stimuli, such as music, delivered in-direct to the baby may provide an efficient platform of advancement when correctly used as intervention tools [ 34 , 35 , 36 ]. In this context, music can be easily employed as an intervention tool, as it is not clinically invasive.…”

Neuroimaging-Guided Music Interventions for Infants in NICU

“…Electroencephalography, for example, is particularly valuable in assessing cerebral function in preterm infants, and the technology’s temporal sensitivity makes it an ideal candidate for monitoring the neurodevelopmental trajectory in infants . Concurrently, MRI has shown that music influences various areas of the brain involved in emotion processing and sensory integration, suggesting that music’s impact is pertinent in the framework of neonatal brain development, where neural plasticity is at its peak.…”

Music and neuroscience research for mental health, cognition, and development: Ways forward

“…Music is a complex phenomenon that employs, from very early in life, widespread neural activity in interconnected regions of sensory perception (Papatzikis et al, 2019 ), and ranging from the auditory cortex (Brattico et al, 2006 ; Allen et al, 2017 ) to the motor system (Furukawa et al, 2017 ; Bashwiner and Bacon, 2019 ) during active and passive music listening or instrument training. By the same token, the music's impact has been greatly correlated to both ontogenetic and phylogenetic neuroplastic changes (Papatzikis and Rishoni, 2022 ), showcasing a strong link to human brain function proven through a plethora of neuroimaging modalities [please see for example (Lin et al, 2010 ; Cross and Fujioka, 2019 ) for EEG/ERP studies; (Donnay et al, 2014 ) for fMRI; (Chacon-Castano et al, 2017 ) for MEG; (Moore et al, 2014 ) for DTI; (Sluming et al, 2002 ) for Voxel-based Morphometry].…”