A quantitative assessment of the sensitivity of whole-head MEG to activity in the adult human cortex
- PMID: 12169249
- DOI: 10.1006/nimg.2002.1102
A quantitative assessment of the sensitivity of whole-head MEG to activity in the adult human cortex
Abstract
MagnetoEncephaloGraphy (MEG) relies on the detection of cortical current flow by measurement of the associated magnetic field outside the head. The amplitude of this magnetic field depends strongly on the depth of the electrical brain activity. Additionally, radially orientated sources are magnetically silent in a concentrically homogeneous volume conductor, giving rise to the anecdotal assumptions that MEG is insensitive to both deep and gyral sources. Utilising cortical surfaces extracted from Magnetic Resonance Images (MRIs) of two adult brains we constructed all possible single source elements and examined the proportion of active neocortex that is actually detectable with a whole-head MEG system. We identified those electrically active regions to which MEG is maximally sensitive by analytically computing the probability of detecting a source within a specified confidence volume. Our findings show that source depth, and not orientation, is the main factor that compromises the sensitivity of MEG to activity in the adult human cortex. There are thin strips (approximately 2 mm wide) of poor resolvability at the crests of gyri; however, these strips account for only a relatively small proportion of the cortical area and are abutted by elements with nominal tangential component yet high resolvability due to their proximity to the sensor array. Finally, we varied the extent of the patches of cortical activity, showing that small patches have a small net-current moment and are therefore less visible whereas large patches have a strong net-current moment, are generally more visible to the MEG system, yet are less appropriately modelled as single dipoles.
Similar articles
-
Estimation of neural dynamics from MEG/EEG cortical current density maps: application to the reconstruction of large-scale cortical synchrony.IEEE Trans Biomed Eng. 2002 Sep;49(9):975-87. doi: 10.1109/TBME.2002.802013. IEEE Trans Biomed Eng. 2002. PMID: 12214887
-
Sensitivity of MEG and EEG to source orientation.Brain Topogr. 2010 Sep;23(3):227-32. doi: 10.1007/s10548-010-0154-x. Epub 2010 Jul 18. Brain Topogr. 2010. PMID: 20640882 Free PMC article.
-
Variation-based sparse cortical current density imaging in estimating cortical sources with MEG data.Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:5145-8. doi: 10.1109/IEMBS.2010.5626178. Annu Int Conf IEEE Eng Med Biol Soc. 2010. PMID: 21095813
-
[Functional imaging of the brain. Magnetoencephalography (MEG)].Radiologe. 1993 Nov;33(11):633-8. Radiologe. 1993. PMID: 8278590 Review. German.
-
Magnetoencephalography (MEG): a non-invasive tool for studying cortical effects in psychopharmacology.Int J Neuropsychopharmacol. 2006 Jun;9(3):367-72. doi: 10.1017/S1461145705005894. Epub 2005 Sep 5. Int J Neuropsychopharmacol. 2006. PMID: 16316477 Review.
Cited by
-
Dynamic causal modelling of auditory surprise during disconnected consciousness: The role of feedback connectivity.Neuroimage. 2022 Nov;263:119657. doi: 10.1016/j.neuroimage.2022.119657. Epub 2022 Oct 6. Neuroimage. 2022. PMID: 36209793 Free PMC article.
-
Reliability of dynamic causal modelling of resting-state magnetoencephalography.Hum Brain Mapp. 2024 Jul 15;45(10):e26782. doi: 10.1002/hbm.26782. Hum Brain Mapp. 2024. PMID: 38989630 Free PMC article.
-
Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution.Neuroimage. 2012 Feb 15;59(4):3909-21. doi: 10.1016/j.neuroimage.2011.11.005. Epub 2011 Nov 9. Neuroimage. 2012. PMID: 22122866 Free PMC article.
-
Slowing of Hippocampal Activity Correlates with Cognitive Decline in Early Onset Alzheimer's Disease. An MEG Study with Virtual Electrodes.Front Hum Neurosci. 2016 May 20;10:238. doi: 10.3389/fnhum.2016.00238. eCollection 2016. Front Hum Neurosci. 2016. PMID: 27242496 Free PMC article.
-
Regional healthy brain activity, glioma occurrence and symptomatology.Brain. 2022 Oct 21;145(10):3654-3665. doi: 10.1093/brain/awac180. Brain. 2022. PMID: 36130310 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources