Encoding and decoding analysis of music perception using intracranial EEG

Bellier, Ludovic; Llorens, Anaïs; Marciano, Déborah; Schalk, Gerwin; Brunner, Peter; Knight, Robert T.; Pasley, Brian N.

doi:10.1101/2022.01.27.478085

Cited by 8 publications

(7 citation statements)

References 96 publications

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“…Second, most of the studies that reported regional-selectivity are grounded on functional MRI data that lack a precise temporal resolution. Furthermore, the few studies assessing selectivity with intracranial EEG recordings analyzed only the HFa amplitude (Bellier et al, 2022; Norman-Haignere et al, 2020; Oganian & Chang, 2019). However, while this latter reflects local (Kopell et al, 2000) and possibly feedforward activity (Bastos et al, 2015; Fontolan et al, 2014; Fries, 2015) other frequency bands are also constitutive of the cortical dynamics and involved in cognition.…”

Section: Discussionmentioning

confidence: 99%

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

Rietmolen¹,

Mercier

Trébuchon

et al. 2022

Preprint

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To what extent do speech and music processing rely on domain-specific and domain-general neural networks? Adopting a dynamical system framework, we investigate the presence of frequency-specific and network-level selectivity and combine it with a statistical approach in which a clear distinction is made between shared, preferred, and category-selective neural responses. Using intracranial EEG recordings in 18 epilepsy patients listening to natural and continuous speech and music, 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 regional selectivity. Instead, neural selectivity is restricted to distributed and frequency-specific coherent oscillations, typical of spectral fingerprints. Our work addresses a longstanding debate and redefines an epistemological posture on how to map cognitive and brain functions.

show abstract

Section: Discussionmentioning

confidence: 99%

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

Rietmolen¹,

Mercier

Trébuchon

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Second, most of the studies that reported regional-selectivity are grounded on functional MRI data that lack a precise temporal resolution. Furthermore, the few studies assessing selectivity with intracranial EEG recordings analyzed only the HFa (Bellier et al, 2022;Norman-Haignere et al, 2020;Oganian & Chang, 2019). However, while HFa reflects local (Kopell et al, 2000) and possibly feedforward activity (Bastos et al, 2015;Fontolan et al, 2014;Fries, 2015) other frequency bands are also constitutive of the cortical dynamics and involved in cognition.…”

Section: P R E P R I Nmentioning

confidence: 99%

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

Rietmolen¹,

Mercier²,

Trébuchon

et al. 2022

Preprint

View full text Add to dashboard Cite

To what extent do speech and music processing rely on domain-specific and domain-general neural networks? Adopting a dynamical system framework, we investigate the presence of frequency-specific and network-level selectivity and combine it with a statistical approach in which a clear distinction is made between shared, preferred, and category-selective neural responses. Using intracranial EEG recordings in 18 epilepsy patients listening to natural and continuous speech and music, 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 regional selectivity. Instead, neural selectivity is restricted to dis- tributed and frequency-specific coherent oscillations, typical of spectral fingerprints. Our work addresses a longstanding debate and redefines an epistemological posture on how to map cognitive and brain functions.

show abstract

“…Second, most of the studies that reported regional-selectivity are grounded on functional MRI data that lack a precise temporal resolution. Furthermore, the few studies assessing selectivity with intracranial EEG recordings analyzed only the HFa (Bellier et al, 2022;Norman-Haignere et al, 2020;Oganian & Chang, 2019). However, while HFa reflects local (Kopell et al, 2000) and possibly feedforward activity (Bastos et al, 2015;Fontolan et al, 2014;Fries, 2015) other frequency bands are also constitutive of the cortical dynamics and involved in cognition.…”

Section: P R E P R I Nmentioning

confidence: 99%

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

te Rietmolen,

Mercier,

Trébuchon

et al. 2024

Preprint

View full text Add to dashboard Cite

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.

show abstract

Encoding and decoding analysis of music perception using intracranial EEG

Cited by 8 publications

References 96 publications

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

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

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

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

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