ArticleFrontiers in human neuroscience2019
Music Improvisation Is Characterized by Increase EEG Spectral Power in Prefrontal and Perceptual Motor Cortical Sources and Can be Reliably Classified From Non-improvisatory Performance.
Article in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 32 citations in OpenAlex.
- The determination of human creative thinking by employing machine learning classification on EEG signals.Frontiers in psychology · 2026Article
- Neural mechanisms during role-playing in music psychodrama: an fNIRS Hyperscanning study.Frontiers in psychology · 2026Article
- Neural Mechanisms of Role Reversal in Improvisational Music Psychodrama: An fNIRS Hyperscanning Study.Brain sciences · 2025Article
- Shredding artifacts: extracting brain activity in EEG from extreme artifacts during skateboarding using ASR and ICA.Frontiers in neuroergonomics · 2024Article
- The Creative Drummer: An EEG-Based Pilot Study on the Correlates of Emotions and Creative Drum Playing.Brain sciences · 2023Article
- The role of brain-localized gamma and alpha oscillations in inattentional deafness: implications for understanding human attention.Frontiers in human neuroscience · 2023Article
- Driving drowsiness detection using spectral signatures of EEG-based neurophysiology.Frontiers in physiology · 2023Article
- EEG Connectivity during Active Emotional Musical Performance.Sensors (Basel, Switzerland) · 2022Article
- Spectral Characteristics of EEG during Active Emotional Musical Performance.Sensors (Basel, Switzerland) · 2021Article
- Comparison of Smoothing Filters' Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain-Computer Interface Headset during Audio Stimulation.Brain sciences · 2021Article
- Roles of P300 and Late Positive Potential in Initial Romantic Attraction.Frontiers in neuroscience · 2021Article
- EEG Correlates of Middle Eastern Music Improvisations on theFrontiers in psychology · 2021Article
- Beta and Theta Oscillations Correlate With Subjective Time During Musical Improvisation in Ecological and Controlled Settings: A Single Subject Study.Frontiers in neuroscience · 2021Article
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study expores neural activity underlying creative processes through the investigation of music improvisation. Fourteen guitar players with a high level of improvisation skill participated in this experiment. The experimental task involved playing 32-s alternating blocks of improvisation and scales on guitar. electroencephalography (EEG) data was measured continuously throughout the experiment. In order to remove potential artifacts and extract brain-related activity the following signal processing techniques were employed: bandpass filtering, Artifact Subspace Reconstruction, and Independent Component Analysis (ICA). For each participant, artifact related independent components (ICs) were removed from the EEG data and only ICs found to be from brain activity were retained. Source localization using this brain-related activity was carried out using sLORETA. Greater activity for improvisation over scale was found in multiple frequency bands (theta, alpha, and beta) localized primarily in the medial frontal cortex (MFC), Middle frontal gyrus (MFG), anterior cingulate, polar medial prefrontal cortex (MPFC), premotor cortex (PMC), pre and postcentral gyrus (PreCG and PostCG), superior temporal gyrus (STG), inferior parietal lobule (IPL), and the temporal-parietal junction. Together this collection of brain regions suggests that improvisation was mediated by processes involved in coordinating planned sequences of movement that are modulated in response to ongoing environmental context through monitoring and feedback of sensory states in relation to internal plans and goals. Machine-learning using Common Spatial Patterns (CSP) for EEG feature extraction attained a mean of over 75% classification performance for improvisation vs. scale conditions across participants. These machine-learning results are a step towards the development of a brain-computer interface that could be used for neurofeedback training to improve creativity.
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