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Progress in Neurobiology
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Progress in Neurobiology
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Layer-dependent functional connectivity methods

Authors: Laurentius (Renzo) Huber; Emily Finn; Yuhui Chai; Rainer Goebel; Ruediger Stirnberg; Tony Stoecker; Sean Marrett; +5 Authors

Layer-dependent functional connectivity methods

Abstract

Recent methodological advances in fMRI contrast and readout strategies have allowed researchers to approach the mesoscopic spatial regime of cortical layers. This has revolutionized the ability to map cortical information processing within and across brain systems. However, until recently, most layer-fMRI studies have been confined to primary cortices using basic block- design tasks and macro-vascular-contaminated sequence contrasts. To become an established method for user-friendly applicability in neuroscience practice, layer-fMRI acquisition and analysis methods need to be extended to more flexible connectivity-based experiment designs; they must be able to capture subtle changes in brain networks of higher-order cognitive areas, and they should not be spatially biased with unwanted vein signals. In this article, we review the most pressing challenges of layer- dependent fMRI for large-scale neuroscientific applicability and describe recently developed acquisition methodologies that can resolve them. In doing so, we review technical tradeoffs and capabilities of modern MR- sequence approaches to achieve measurements that are free of locally unspecific vein signal, with whole-brain coverage, sub-second sampling, very high resolutions, and with a combination of those capabilities. The presented approaches provide whole-brain layer-dependent connectivity data that open a new window to investigate brain network connections. We exemplify this by reviewing a number of candidate tools for connectivity analyses that will allow future studies to address new questions in network neuroscience. The considered network analysis tools include: hierarchy mapping, directional connectomics, source-specific connectivity mapping, and network sub-compartmentalization. We conclude: Whole-brain layer-fMRI without large-vessel contamination is applicable for human neuroscience and opens the door to investigate biological mechanisms behind any number of psychological and psychiatric phenomena, such as selective attention, hallucinations and delusions, and even consciousness itself.

This is the final manuscript as it was accepted by the journal Progress in Neurobiology.

Country
Germany
Keywords

Brain Mapping: methods, layerfMRI, Magnetic Resonance Imaging: methods, Functional connectivity, Cognition, Brain: blood supply, Connectome: methods, 7 Tesla, Connectome, Humans, Attention, Brain: diagnostic imaging, info:eu-repo/classification/ddc/610, Brain Mapping, Mesoscopic fMRI, functional connectivity, Whole brain submillimeter fMRI, Brain, 7T fMRI, VASO, Magnetic Resonance Imaging, whole brain sub-millimeter fMRI, Human connectome, CBV-fMRI, layer-fMRI, Laminar fMRI

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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