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 challenging. In this work, methods and contrast mechanisms were investigated to meas...
In a patch of cortex, laminae connect to different parts of the brain. Huber et al. (2017) demonstra...
Magnetic resonance imaging (MRI) is a popular technique to map the structure and function of the hum...
The brain is characterized by ultra-high structural complexity and massive connectivity, both of whi...
The nerve cells (neurons) in the human brain are organized into layers and these layers have differe...
Laminar organization of neuronal circuits is a recurring feature of how the brain processes informat...
Laboratory animal research has provided significant knowledge into the function of cortical circuits...
Recent methodological advances in fMRI contrast and readout strategies have allowed researchers to a...
The rapid developments in functional MRI (fMRI) acquisition methods and hardware technologies in rec...
Functional magnetic resonance imaging (fMRI) is a tool to look at activity in the human brain in viv...
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
Contains fulltext : 212564.pdf (publisher's version ) (Closed access)Laminar resol...
The study of complex computational systems is facilitated by network maps, such as circuit diagrams....
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
Advancements in ultra-high field (7 T and higher) magnetic resonance imaging (MRI) scanners have mad...
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
In a patch of cortex, laminae connect to different parts of the brain. Huber et al. (2017) demonstra...
Magnetic resonance imaging (MRI) is a popular technique to map the structure and function of the hum...
The brain is characterized by ultra-high structural complexity and massive connectivity, both of whi...
The nerve cells (neurons) in the human brain are organized into layers and these layers have differe...
Laminar organization of neuronal circuits is a recurring feature of how the brain processes informat...
Laboratory animal research has provided significant knowledge into the function of cortical circuits...
Recent methodological advances in fMRI contrast and readout strategies have allowed researchers to a...
The rapid developments in functional MRI (fMRI) acquisition methods and hardware technologies in rec...
Functional magnetic resonance imaging (fMRI) is a tool to look at activity in the human brain in viv...
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
Contains fulltext : 212564.pdf (publisher's version ) (Closed access)Laminar resol...
The study of complex computational systems is facilitated by network maps, such as circuit diagrams....
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
Advancements in ultra-high field (7 T and higher) magnetic resonance imaging (MRI) scanners have mad...
The cortex is a massively recurrent network, characterized by feedforward and feedback connections b...
In a patch of cortex, laminae connect to different parts of the brain. Huber et al. (2017) demonstra...
Magnetic resonance imaging (MRI) is a popular technique to map the structure and function of the hum...
The brain is characterized by ultra-high structural complexity and massive connectivity, both of whi...