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  Structure predicts function: Combining non-invasive electrophysiology with in-vivo histology

Helbling, S., Teki, S., Callaghan, M. F., Sedley, W., Mohammadi, S., Griffiths, T., et al. (2015). Structure predicts function: Combining non-invasive electrophysiology with in-vivo histology. NeuroImage, 108, 377-385. doi:10.1016/j.neuroimage.2014.12.030.

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 Creators:
Helbling, Saskia1, Author              
Teki, Sundeep2, Author
Callaghan, Martina F.2, Author
Sedley, William3, Author
Mohammadi, Siawoosh2, 4, Author
Griffiths, Timothy3, Author
Weiskopf, Nikolaus2, Author              
Barnes, Gareth2, Author
Affiliations:
1Institute of Medical Psychology, Goethe University, Frankfurt, Germany, ou_persistent22              
2Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              
3Institute of Neuroscience, Newcastle University, United Kingdom, ou_persistent22              
4Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              

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Free keywords: MEG; Source reconstruction; Quantitative MRI; MPM; Myelin or myeloarchitecture; Auditory
 Abstract: We present an approach for combining high resolution MRI-based myelin mapping with functional information from electroencephalography (EEG) or magnetoencephalography (MEG). The main contribution to the primary currents detectable with EEG and MEG comes from ionic currents in the apical dendrites of cortical pyramidal cells, aligned perpendicularly to the local cortical surface. We provide evidence from an in-vivo experiment that the variation in MRI-based myeloarchitecture measures across the cortex predicts the variation of the current density over individuals and thus is of functional relevance. Equivalent current dipole locations and moments due to pitch onset evoked response fields (ERFs) were estimated by means of a variational Bayesian algorithm. The myeloarchitecture was estimated indirectly from individual high resolution quantitative multi-parameter maps (MPMs) acquired at 800μm isotropic resolution. Myelin estimates across cortical areas correlated positively with dipole magnitude. This correlation was spatially specific: regions of interest in the auditory cortex provided significantly better models than those covering whole hemispheres. Based on the MPM data we identified the auditory cortical area TE1.2 as the most likely origin of the pitch ERFs measured by MEG. We can now proceed to exploit the higher spatial resolution of quantitative MPMs to identify the cortical origin of M/EEG signals, inform M/EEG source reconstruction and explore structure-function relationships at a fine structural level in the living human brain.

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Language(s): eng - English
 Dates: 2014-12-102014-12-182015-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2014.12.030
PMID: 25529007
PMC: PMC4334663
Other: Epub 2014
 Degree: -

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Project name : Non-invasive in vivo histology in health and disease using Magnetic Resonance Imaging (MRI) / HMRI
Grant ID : 616905
Funding program : FP7 (ERC-2013-CoG)
Funding organization : European Research Council
Project name : Building multi-site clinical research capacity in Magnetoencephalography (MEG)
Grant ID : MR/K005464/1
Funding program : RCUK | MRC
Funding organization : UNICA
Project name : -
Grant ID : -
Funding program : -
Funding organization : G.-A.-Lienert Stiftung
Project name : -
Grant ID : -
Funding program : -
Funding organization : LOEWE Grant "Neuronale Koordination Forschungsschwerpunkt Frankfurt (NeFF)"
Project name : -
Grant ID : MO 2397/1-1
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft (DFG)
Project name : -
Grant ID : -
Funding program : -
Funding organization : Wellcome Trust

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 108 Sequence Number: - Start / End Page: 377 - 385 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166