SYMPOSIUM
Symposium on layer-dependent imaging
The brain-in-depth (BID) symposium is an anual symposium on layer-dependent imaging that my group organizes together with collaborators from the Otto-von-Guericke University Magdeburg, the DZNE, the Max Planck Institute for Human Cognitive and Brain Sciences and the Hertie Institute for Clinical Brain Research.
Symposium on layer-dependent imaging
The brain-in-depth (BID) symposium is an anual symposium on layer-dependent imaging that my group organizes together with collaborators from the Otto-von-Guericke University Magdeburg, the DZNE, the Max Planck Institute for Human Cognitive and Brain Sciences and the Hertie Institute for Clinical Brain Research.
METHOD
Layer-dependent mapping of cortical myelin
The layer-dependent myeloarchitecture of the human cortex has long been studied in post mortem tissue, but has only recently been investigated in the living human brain using ultra-high field imaging 7+ Tesla. This novel method allows the description of layer-dependent, multi-modal changes in cortex architecture in health and disease. Using this method, we proof the existence of septa in human sensorimotor cortex, show that the human hand area has a non-topographic architecture, and precisely describe the cortical microstructure in motor cortex that is associated with healthy aging.
Layer-dependent mapping of cortical myelin
The layer-dependent myeloarchitecture of the human cortex has long been studied in post mortem tissue, but has only recently been investigated in the living human brain using ultra-high field imaging 7+ Tesla. This novel method allows the description of layer-dependent, multi-modal changes in cortex architecture in health and disease. Using this method, we proof the existence of septa in human sensorimotor cortex, show that the human hand area has a non-topographic architecture, and precisely describe the cortical microstructure in motor cortex that is associated with healthy aging.
METHOD
Model the human cortex in 3D
In cognitive neuroscience, brain-behaviour relationships are usually mapped onto a two-dimensional cortical sheet. Cortical layers are a critical but often ignored third dimension of human cortical function. We explain why modelling the human cortex in three dimensions allows novel and unprecedented insights into the encoding schemes of human cognition. Key message: In different cortical layers, different computations take place. 3D models of human cognition allow to understand human cognition in its full complexity. Read the full paper: [link]
Model the human cortex in 3D
In cognitive neuroscience, brain-behaviour relationships are usually mapped onto a two-dimensional cortical sheet. Cortical layers are a critical but often ignored third dimension of human cortical function. We explain why modelling the human cortex in three dimensions allows novel and unprecedented insights into the encoding schemes of human cognition. Key message: In different cortical layers, different computations take place. 3D models of human cognition allow to understand human cognition in its full complexity. Read the full paper: [link]
METHOD
A new computational framework for 7T fMRI
One of the principal goals in fMRI is the detection of local activation in the human brain. However, lack of statistical power and inflated false positive rates have recently been identified as major problems. Here, we introduce a novel non-parametric and threshold-free software package called LISA to address this demand. LISA uses a non-linear filter for incorporating spatial context without sacrificing spatial precision. Compared to widely used other methods (e.g., SPM, FLS), it shows a boost in statistical power and allows a more reliable detection of small activation areas. Key application: The spatial sensitivity of LISA makes it especially suitable for the analysis of fMRI data acquired at ultrahigh field (≥7 Tesla). Read the full paper: [link]
A new computational framework for 7T fMRI
One of the principal goals in fMRI is the detection of local activation in the human brain. However, lack of statistical power and inflated false positive rates have recently been identified as major problems. Here, we introduce a novel non-parametric and threshold-free software package called LISA to address this demand. LISA uses a non-linear filter for incorporating spatial context without sacrificing spatial precision. Compared to widely used other methods (e.g., SPM, FLS), it shows a boost in statistical power and allows a more reliable detection of small activation areas. Key application: The spatial sensitivity of LISA makes it especially suitable for the analysis of fMRI data acquired at ultrahigh field (≥7 Tesla). Read the full paper: [link]
FUNDING
SFB-1436: Central-Project "Human Imaging at Mesoscale"
SFB-1436: Central-Project "Human Imaging at Mesoscale"
