Literature DB >> 28687519

Laminar fMRI: Applications for cognitive neuroscience.

Samuel J D Lawrence1, Elia Formisano2, Lars Muckli3, Floris P de Lange4.   

Abstract

The cortex is a massively recurrent network, characterized by feedforward and feedback connections between brain areas as well as lateral connections within an area. Feedforward, horizontal and feedback responses largely activate separate layers of a cortical unit, meaning they can be dissociated by lamina-resolved neurophysiological techniques. Such techniques are invasive and are therefore rarely used in humans. However, recent developments in high spatial resolution fMRI allow for non-invasive, in vivo measurements of brain responses specific to separate cortical layers. This provides an important opportunity to dissociate between feedforward and feedback brain responses, and investigate communication between brain areas at a more fine- grained level than previously possible in the human species. In this review, we highlight recent studies that successfully used laminar fMRI to isolate layer-specific feedback responses in human sensory cortex. In addition, we review several areas of cognitive neuroscience that stand to benefit from this new technological development, highlighting contemporary hypotheses that yield testable predictions for laminar fMRI. We hope to encourage researchers with the opportunity to embrace this development in fMRI research, as we expect that many future advancements in our current understanding of human brain function will be gained from measuring lamina-specific brain responses.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bottom-up; Cortical layers; Feedback; Feedforward; Laminar fMRI; Top-down; Visual cortex

Mesh:

Year:  2017        PMID: 28687519     DOI: 10.1016/j.neuroimage.2017.07.004

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  35 in total

Review 1.  Communication dynamics in complex brain networks.

Authors:  Andrea Avena-Koenigsberger; Bratislav Misic; Olaf Sporns
Journal:  Nat Rev Neurosci       Date:  2017-12-14       Impact factor: 34.870

2.  Ultra-High-Field Neuroimaging Reveals Fine-Scale Processing for 3D Perception.

Authors:  Adrian K T Ng; Ke Jia; Nuno R Goncalves; Elisa Zamboni; Valentin G Kemper; Rainer Goebel; Andrew E Welchman; Zoe Kourtzi
Journal:  J Neurosci       Date:  2021-08-19       Impact factor: 6.167

3.  Ultra-high resolution blood volume fMRI and BOLD fMRI in humans at 9.4 T: Capabilities and challenges.

Authors:  Laurentius Huber; Desmond H Y Tse; Christopher J Wiggins; Kâmil Uludağ; Sriranga Kashyap; David C Jangraw; Peter A Bandettini; Benedikt A Poser; Dimo Ivanov
Journal:  Neuroimage       Date:  2018-06-08       Impact factor: 6.556

4.  A temporal decomposition method for identifying venous effects in task-based fMRI.

Authors:  Kendrick Kay; Keith W Jamison; Ru-Yuan Zhang; Kamil Uğurbil
Journal:  Nat Methods       Date:  2020-09-07       Impact factor: 28.547

5.  Simulating laminar neuroimaging data for a visual delayed match-to-sample task.

Authors:  Paul T Corbitt; Antonio Ulloa; Barry Horwitz
Journal:  Neuroimage       Date:  2018-02-22       Impact factor: 6.556

Review 6.  Cortical mechanisms of spatial hearing.

Authors:  Kiki van der Heijden; Josef P Rauschecker; Beatrice de Gelder; Elia Formisano
Journal:  Nat Rev Neurosci       Date:  2019-08-29       Impact factor: 34.870

Review 7.  Towards a Unifying Cognitive, Neurophysiological, and Computational Neuroscience Account of Schizophrenia.

Authors:  Andreas Heinz; Graham K Murray; Florian Schlagenhauf; Philipp Sterzer; Anthony A Grace; James A Waltz
Journal:  Schizophr Bull       Date:  2019-09-11       Impact factor: 9.306

8.  Hallucinations on demand: the utility of experimentally induced phenomena in hallucination research.

Authors:  Sebastian Rogers; Rebecca Keogh; Joel Pearson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-12-14       Impact factor: 6.237

Review 9.  Imaging faster neural dynamics with fast fMRI: A need for updated models of the hemodynamic response.

Authors:  Jonathan R Polimeni; Laura D Lewis
Journal:  Prog Neurobiol       Date:  2021-09-12       Impact factor: 11.685

10.  Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.

Authors:  Qingbao Yu; Yuhui Du; Jiayu Chen; Jing Sui; Tulay Adali; Godfrey Pearlson; Vince D Calhoun
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2018-04-25       Impact factor: 10.961

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