Contains fulltext : 285024.pdf (Publisher’s version ) (Open Access)The nerve cells (neurons) in the human brain are organized into layers and these layers have different roles in signal transduction. Using functional MRI (fMRI) at high spatial resolutions opens up the possibility to non-invasively study the directionality of information flow throughout the human brain. However, the vascular system determines the fMRI signal and the workhorse fMRI contrast being used is highly sensitive to larger veins which do not co-locate well with the nerve cells’ architecture. Furthermore, as the image acquisition process in MRI is sequential rather than parallel, acquiring whole brain data at high spatial and temporal resolution is ch...
Contains fulltext : 91455.pdf (publisher's version ) (Open Access)Functional magne...
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
Layer-dependent fMRI allows measurements of information flow in cortical circuits, as afferent and e...
The nerve cells (neurons) in the human brain are organized into layers and these layers have differe...
The mesoscopic organization of the human neocortex is of great interest for cognitive neuroscience. ...
The signal-to-noise ratio available in Magnetic Resonance Imaging (MRI)is determined by the static m...
Interactions between top-down and bottom-up information streams are integral to brain function but c...
Laboratory animal research has provided significant knowledge into the function of cortical circuits...
Advancements in ultra-high field (7 T and higher) magnetic resonance imaging (MRI) scanners have mad...
Magnetic resonance imaging (MRI) is a popular technique to map the structure and function of the hum...
Magnetic resonance imaging (MRI) is a popular technique to map the structure and function of the hum...
Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, February 2004.Includes bibl...
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
As high-resolution functional magnetic resonance imaging (fMRI) and fMRI of cortical layers become m...
abstract: A direct Magnetic Resonance (MR)-based neural activity mapping technique with high spatial...
Contains fulltext : 91455.pdf (publisher's version ) (Open Access)Functional magne...
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
Layer-dependent fMRI allows measurements of information flow in cortical circuits, as afferent and e...
The nerve cells (neurons) in the human brain are organized into layers and these layers have differe...
The mesoscopic organization of the human neocortex is of great interest for cognitive neuroscience. ...
The signal-to-noise ratio available in Magnetic Resonance Imaging (MRI)is determined by the static m...
Interactions between top-down and bottom-up information streams are integral to brain function but c...
Laboratory animal research has provided significant knowledge into the function of cortical circuits...
Advancements in ultra-high field (7 T and higher) magnetic resonance imaging (MRI) scanners have mad...
Magnetic resonance imaging (MRI) is a popular technique to map the structure and function of the hum...
Magnetic resonance imaging (MRI) is a popular technique to map the structure and function of the hum...
Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, February 2004.Includes bibl...
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
As high-resolution functional magnetic resonance imaging (fMRI) and fMRI of cortical layers become m...
abstract: A direct Magnetic Resonance (MR)-based neural activity mapping technique with high spatial...
Contains fulltext : 91455.pdf (publisher's version ) (Open Access)Functional magne...
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
Layer-dependent fMRI allows measurements of information flow in cortical circuits, as afferent and e...