Predictive acoustical processing in human cortical layers
I tiakina i:
| I whakaputaina i: | bioRxiv (Jan 10, 2025) |
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| Kaituhi matua: | |
| Ētahi atu kaituhi: | , , , , , , , , , , |
| I whakaputaina: |
Cold Spring Harbor Laboratory Press
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| Ngā marau: | |
| Urunga tuihono: | Citation/Abstract Full text outside of ProQuest |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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MARC
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|---|---|---|---|
| 001 | 3153960500 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2692-8205 | ||
| 024 | 7 | |a 10.1101/2025.01.09.632099 |2 doi | |
| 035 | |a 3153960500 | ||
| 045 | 0 | |b d20250110 | |
| 100 | 1 | |a Faes, Lonike K | |
| 245 | 1 | |a Predictive acoustical processing in human cortical layers | |
| 260 | |b Cold Spring Harbor Laboratory Press |c Jan 10, 2025 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a In our dynamic environments, predictive processing is vital for auditory perception and its associated behaviors. Predictive coding formalizes inferential processes by implementing them as information exchange across cortical layers and areas. With laminar-specific blood oxygenation level dependent we measured responses to a cascading oddball paradigm, to ground predictive auditory processes on the mesoscopic human cortical architecture. We show that the violation of predictions are potentially hierarchically organized and associated with responses in superficial layers of the planum polare and middle layers of the lateral temporal cortex. Moreover, we relate the updating of the brain's internal model to changes in deep layers. Using a modeling approach, we derive putative changes in neural dynamics while accounting for draining effects. Our results support the role of temporal cortical architecture in the implementation of predictive coding and highlight the ability of laminar fMRI to investigate mesoscopic processes in a large extent of temporal areas.Competing Interest StatementThe authors have declared no competing interest. | |
| 653 | |a Brain architecture | ||
| 653 | |a Blood levels | ||
| 653 | |a Information processing | ||
| 653 | |a Functional magnetic resonance imaging | ||
| 653 | |a Temporal lobe | ||
| 653 | |a Neural coding | ||
| 653 | |a Brain mapping | ||
| 653 | |a Auditory perception | ||
| 700 | 1 | |a Isma Zulfiqar | |
| 700 | 1 | |a Vizioli, Luca | |
| 700 | 1 | |a Zidan, Yu | |
| 700 | 1 | |a Yuan-Hao, Wu | |
| 700 | 1 | |a Shin, Jiyun | |
| 700 | 1 | |a Cloos, Martijn A | |
| 700 | 1 | |a Auksztulewicz, Ryszard | |
| 700 | 1 | |a Melloni, Lucia | |
| 700 | 1 | |a Uludag, Kamil | |
| 700 | 1 | |a Yacoub, Essa | |
| 700 | 1 | |a De Martino, Federico | |
| 773 | 0 | |t bioRxiv |g (Jan 10, 2025) | |
| 786 | 0 | |d ProQuest |t Biological Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3153960500/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u https://www.biorxiv.org/content/10.1101/2025.01.09.632099v1 |