Benchmarking laminar fMRI: Neuronal spiking and synaptic activity during top-down and bottom-up processing in the different layers of cortex

Matthew W Self, Timo van Kerkoerle, Rainer Goebel, Pieter R Roelfsema

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Abstract

High resolution laminar fMRI is beginning to probe responses in the different layers of cortex. What can we expect this exciting new technique to discover about cortical processing and how can we verify that it is producing an accurate picture of the underlying laminar differences in neural processing? This review will address our knowledge of laminar cortical circuitry gained from electrophysiological studies in macaque monkeys with a focus on the primary visual cortex, as this area has been most often targeted in both laminar electrophysiological and fMRI studies. We will review how recent studies are attempting to verify the accuracy of laminar fMRI by recreating the known laminar profiles of various neural tuning properties. Furthermore, we will examine how feedforward and feedback-related neural processes engage different cortical layers, producing canonical patterns of spiking and synaptic activity as estimated by the analysis of current-source density. These results provide a benchmark for recent studies aiming to examine the profiles of bottom-up and top-down processes with laminar fMRI. Finally, we will highlight particularly useful paradigms and approaches which may help us to understand processing in the different layers of the human cerebral cortex.

Original languageEnglish
Pages (from-to)806-817
Number of pages12
JournalNeuroImage
Volume197
Early online date23 Jun 2017
DOIs
Publication statusPublished - 15 Aug 2019

Funding

We are grateful to Alessio Fracasso, Serge Dumoulin, Lucy Petro, Lars Muckli, Peter Kok and Floris de Lange for their assistance in providing figures for this review. PRR was supported by NWO (ALW grant 823-02-010 ; MaGW grant 400-09-198 and Natural Artificial Intelligence grant 656-000-002 ) and the EU (Marie-Curie Action PITN-GA-2011-290011 , ERC advanced grant # 339490 \u201CCortic_al_gorithms\u201D, the Human Brain Project , agreement no. 720270 ). We are grateful to Alessio Fracasso, Serge Dumoulin, Lucy Petro, Lars Muckli, Peter Kok and Floris de Lange for their assistance in providing figures for this review. PRR was supported by NWO (ALW grant 823-02-010; MaGW grant 400-09-198 and Natural Artificial Intelligence grant 656-000-002) and the EU (Marie-Curie Action PITN-GA-2011-290011, ERC advanced grant #339490 ?Cortic_al_gorithms?, the Human Brain Project, agreement no. 720270).

FundersFunder number
Human Brain Project
ALW grant 823-02-010 ; MaGW grant 400-09-198 and Natural Artificial Intelligence grant
ERC advanced
Natural Artificial Intelligence
Seventh Framework Programme339490, 720270, 290011
ALW823-02-010
Not added400-09-198
European CommissionPITN-GA-2011-290011

    Keywords

    • Journal Article
    • Review

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