BACKGROUND: In combination with magnetoencephalographic (MEG) data, accurate knowledge of the brain's structure and location provide a principled way of reconstructing neural activity with high temporal resolution. However, measuring the brain's location is compromised by head movement during scanning, and by fiducial-based co-registration with magnetic resonance imaging (MRI) data. The uncertainty from these two factors introduces errors into the forward model and limit the spatial resolution of the data. NEW METHOD: We present a method for stabilizing and reliably repositioning the head during scanning, and for co-registering MRI and MEG data with low error. RESULTS: Using this new flexible and comfortable subject-specific head-cast proto...
Magnetoencephalography is a non-invasive technique to study electrophysiological processesin the liv...
| openaire: EC/H2020/678578/EU//HRMEGRecent advances in magnetic sensing has made on-scalp magnetoen...
AbstractThere is uncertainty introduced when a cortical surface based model derived from an anatomic...
AbstractBackgroundIn combination with magnetoencephalographic (MEG) data, accurate knowledge of the ...
Background In combination with magnetoencephalographic (MEG) data, accurate knowledge of the brain’s...
AbstractPrecise MEG estimates of neuronal current flow are undermined by uncertain knowledge of the ...
Precise MEG estimates of neuronal current flow are undermined by uncertain knowledge of the head loc...
AbstractMagnetoencephalography (MEG) is measured above the head, which makes it sensitive to variati...
Magnetoencephalography (MEG) is measured above the head, which makes it sensitive to variations of t...
| openaire: EC/H2020/686865/EU//BREAKBENCo-registration between structural head images and functiona...
Accurate estimation of the neural activity underlying magnetoencephalography (MEG) signals requires ...
Objective: To introduce a new technique for co-registration of Magnetoencephalography (MEG) with mag...
Magnetoencephalography (MEG) can non-invasively measure the electromagnetic activity of the brain. A...
Magnetoencephalography (MEG) is increasingly being used to study brain function because of its excel...
Magnetoencephalography (MEG) is a direct measure of neuronal current flow; its anatomical resolution...
Magnetoencephalography is a non-invasive technique to study electrophysiological processesin the liv...
| openaire: EC/H2020/678578/EU//HRMEGRecent advances in magnetic sensing has made on-scalp magnetoen...
AbstractThere is uncertainty introduced when a cortical surface based model derived from an anatomic...
AbstractBackgroundIn combination with magnetoencephalographic (MEG) data, accurate knowledge of the ...
Background In combination with magnetoencephalographic (MEG) data, accurate knowledge of the brain’s...
AbstractPrecise MEG estimates of neuronal current flow are undermined by uncertain knowledge of the ...
Precise MEG estimates of neuronal current flow are undermined by uncertain knowledge of the head loc...
AbstractMagnetoencephalography (MEG) is measured above the head, which makes it sensitive to variati...
Magnetoencephalography (MEG) is measured above the head, which makes it sensitive to variations of t...
| openaire: EC/H2020/686865/EU//BREAKBENCo-registration between structural head images and functiona...
Accurate estimation of the neural activity underlying magnetoencephalography (MEG) signals requires ...
Objective: To introduce a new technique for co-registration of Magnetoencephalography (MEG) with mag...
Magnetoencephalography (MEG) can non-invasively measure the electromagnetic activity of the brain. A...
Magnetoencephalography (MEG) is increasingly being used to study brain function because of its excel...
Magnetoencephalography (MEG) is a direct measure of neuronal current flow; its anatomical resolution...
Magnetoencephalography is a non-invasive technique to study electrophysiological processesin the liv...
| openaire: EC/H2020/678578/EU//HRMEGRecent advances in magnetic sensing has made on-scalp magnetoen...
AbstractThere is uncertainty introduced when a cortical surface based model derived from an anatomic...