Structure predicts function: Combining non-invasive electrophysiology with in-vivo histology
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Structure predicts function: Combining non-invasive electrophysiology with in-vivo histology. / Helbling, Saskia; Teki, Sundeep; Callaghan, Martina F; Sedley, William; Mohammadi, Siawoosh; Griffiths, Timothy D; Weiskopf, Nikolaus; Barnes, Gareth R.
In: NEUROIMAGE, Vol. 108, 03.2015, p. 377-85.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Structure predicts function: Combining non-invasive electrophysiology with in-vivo histology
AU - Helbling, Saskia
AU - Teki, Sundeep
AU - Callaghan, Martina F
AU - Sedley, William
AU - Mohammadi, Siawoosh
AU - Griffiths, Timothy D
AU - Weiskopf, Nikolaus
AU - Barnes, Gareth R
N1 - Copyright © 2014. Published by Elsevier Inc.
PY - 2015/3
Y1 - 2015/3
N2 - 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.
AB - 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.
U2 - 10.1016/j.neuroimage.2014.12.030
DO - 10.1016/j.neuroimage.2014.12.030
M3 - SCORING: Journal article
C2 - 25529007
VL - 108
SP - 377
EP - 385
JO - NEUROIMAGE
JF - NEUROIMAGE
SN - 1053-8119
ER -