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Speech and music recruit frequency-specific distributed and overlapping cortical networks.

Noémie Te Rietmolen | Manuel R Mercier | Agnès Trébuchon | Benjamin Morillon | Daniele Schön
eLife | 2024

To what extent does speech and music processing rely on domain-specific and domain-general neural networks? Using whole-brain intracranial EEG recordings in 18 epilepsy patients listening to natural, continuous speech or music, we investigated the presence of frequency-specific and network-level brain activity. We combined it with a statistical approach in which a clear operational distinction is made between shared, preferred, and domain-selective neural responses. We show that the majority of focal and network-level neural activity is shared between speech and music processing. Our data also reveal an absence of anatomical regional selectivity. Instead, domain-selective neural responses are restricted to distributed and frequency-specific coherent oscillations, typical of spectral fingerprints. Our work highlights the importance of considering natural stimuli and brain dynamics in their full complexity to map cognitive and brain functions.

Pubmed ID: 39038076

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Associated grants

  • Agency: Agence Nationale de la Recherche,
    Id: ANR-21-CE28-0010
  • Agency: Agence Nationale de la Recherche,
    Id: ANR-20-CE28-0007-01
  • Agency: Agence Nationale de la Recherche,
    Id: ANR-17-EURE-0029
  • Agency: European Research Council, International
    Id: ERC-CoG-101043344
  • Agency: Agence Nationale de la Recherche,
    Id: ANR-16-CONV-0002
  • Agency: Aix-Marseille Université,
    Id: A*MIDEX AMX-19-IET-004

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FreeSurfer (tool)

RRID:SCR_001847

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

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RRID:SCR_004849

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iELVis (tool)

RRID:SCR_016109

Software toolkit consisting of MATLAB and Bash scripts for intracranial electrode localization/visualization. It maps electrodes to various anatomical and functional atlases, and overlays electrode data over functional neuroimaging data. Software for intracranial electrode localization and visualization.

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