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Related Experiment Video

Updated: May 31, 2026

Clinical Practice Protocol of Creative Music Therapy for Preterm Infants and Their Parents in the Neonatal Intensive Care Unit

Clinical Practice Protocol of Creative Music Therapy for Preterm Infants and Their Parents in the Neonatal Intensive Care Unit

Published on: January 7, 2020

Mind as music.

¹Program in Neuroscience, Department of Philosophy, Trinity College Hartford, CT, USA.

Frontiers in Psychology

|June 21, 2011

Summary

This summary is machine-generated.

Cognitive neuroscience traditionally focuses on brain region functions. This study reveals brain activity patterns resemble music more than language, suggesting new ways to analyze neural syntax using functional MRI (fMRI).

Keywords:

Brain consciousness fMRI language music

Related Experiment Videos

Last Updated: May 31, 2026

Clinical Practice Protocol of Creative Music Therapy for Preterm Infants and Their Parents in the Neonatal Intensive Care Unit

Clinical Practice Protocol of Creative Music Therapy for Preterm Infants and Their Parents in the Neonatal Intensive Care Unit

Published on: January 7, 2020

Area of Science:

Cognitive Neuroscience
Computational Neuroscience
Neuroimaging

Background:

Cognitive neuroscience traditionally localizes functions to specific brain regions, focusing on semantics over syntax.
Understanding the dynamic, sequential patterns of brain activity (neural syntax) is less developed.
Functional MRI (fMRI) is often considered insufficient for capturing complex neural dynamics.

Purpose of the Study:

To challenge the assumption that neural semantics precedes neural syntax.
To investigate if aggregate features of brain activity, like sparseness, can reveal underlying computational codes.
To compare the dynamic patterns of fMRI activity with known coding systems like language and music.

Main Methods:

Analysis of functional MRI (fMRI) image series from 99 subjects across three protocols.
Development of a novel analysis focusing on aggregate features (e.g., sparseness) of fMRI data.
Comparison of fMRI activity patterns with 194 musical examples and 700 language passages.

Main Results:

fMRI activity exhibits aggregate features detectable even without knowing the specific neural code's meaning.
Brain activity patterns, when analyzed for sparseness at different scales, show greater similarity to music than to language.
This similarity holds true for single elements and combinations (pairs, triples).

Conclusions:

The study provides evidence that neural syntax, characterized by dynamic patterns, can be investigated using fMRI.
Brain activity's computational code shares more characteristics with music than language.
Cognitive musicology tools may offer valuable methods for analyzing the brain as a dynamical system.