Literature DB >> 32512115

Layer-dependent functional connectivity methods.

Laurentius Huber1, Emily S Finn2, Yuhui Chai2, Rainer Goebel3, Rüdiger Stirnberg4, Tony Stöcker5, Sean Marrett2, Kamil Uludag6, Seong-Gi Kim7, SoHyun Han7, Peter A Bandettini2, Benedikt A Poser3.   

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, 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 conscious perception.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  7T fMRI; CBV-fMRI; Functional connectivity; Human connectome; Laminar fMRI; Mesoscopic fMRI; VASO; Whole brain submillimeter fMRI; layer-fMRI

Mesh:

Year:  2020        PMID: 32512115     DOI: 10.1016/j.pneurobio.2020.101835

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  15 in total

1.  Naturalistic Stimuli: A Paradigm for Multi-Scale Functional Characterization of the Human Brain.

Authors:  Yizhen Zhang; Jung-Hoon Kim; David Brang; Zhongming Liu
Journal:  Curr Opin Biomed Eng       Date:  2021-06-02

2.  Layer-specific, retinotopically-diffuse modulation in human visual cortex in response to viewing emotionally expressive faces.

Authors:  Tina T Liu; Jason Z Fu; Yuhui Chai; Shruti Japee; Gang Chen; Leslie G Ungerleider; Elisha P Merriam
Journal:  Nat Commun       Date:  2022-10-22       Impact factor: 17.694

Review 3.  Cortical hierarchy, dual counterstream architecture and the importance of top-down generative networks.

Authors:  Julien Vezoli; Loïc Magrou; Rainer Goebel; Xiao-Jing Wang; Kenneth Knoblauch; Martin Vinck; Henry Kennedy
Journal:  Neuroimage       Date:  2020-10-21       Impact factor: 6.556

Review 4.  New acquisition techniques and their prospects for the achievable resolution of fMRI.

Authors:  Saskia Bollmann; Markus Barth
Journal:  Prog Neurobiol       Date:  2020-10-23       Impact factor: 11.685

5.  Multimodal EEG-fMRI: advancing insight into large-scale human brain dynamics.

Authors:  Catie Chang; Jingyuan E Chen
Journal:  Curr Opin Biomed Eng       Date:  2021-03-15

6.  ULTRAHIGH FIELD and ULTRAHIGH RESOLUTION fMRI.

Authors:  Kamil Uğurbil
Journal:  Curr Opin Biomed Eng       Date:  2021-04-14

Review 7.  The nonhuman primate neuroimaging and neuroanatomy project.

Authors:  Takuya Hayashi; Yujie Hou; Matthew F Glasser; Joonas A Autio; Kenneth Knoblauch; Miho Inoue-Murayama; Tim Coalson; Essa Yacoub; Stephen Smith; Henry Kennedy; David C Van Essen
Journal:  Neuroimage       Date:  2021-01-20       Impact factor: 6.556

8.  Simulating Local Deformations in the Human Cortex Due to Blood Flow-Induced Changes in Mechanical Tissue Properties: Impact on Functional Magnetic Resonance Imaging.

Authors:  Mahsa Zoraghi; Nico Scherf; Carsten Jaeger; Ingolf Sack; Sebastian Hirsch; Stefan Hetzer; Nikolaus Weiskopf
Journal:  Front Neurosci       Date:  2021-09-21       Impact factor: 4.677

9.  Forging a path to mesoscopic imaging success with ultra-high field functional magnetic resonance imaging.

Authors:  Kimberly B Weldon; Cheryl A Olman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-11-16       Impact factor: 6.237

Review 10.  Age-related changes in cerebrovascular health and their effects on neural function and cognition: A comprehensive review.

Authors:  Benjamin Zimmerman; Bart Rypma; Gabriele Gratton; Monica Fabiani
Journal:  Psychophysiology       Date:  2021-03-16       Impact factor: 4.016

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