(a) The relative thickness of superficial layers decreases from sulci (negative curvature) to gyri (positive curvature) (left). After smoothing of the laminar thickness maps, the effect of curvature on laminar thickness was reduced remarkably, and the correlation of curvature with the relative thickness of superficial layers decreased (right). (b) The matrix shows the similarity of parcels in their distribution of curvature values based on Jensen–Shannon divergence (left). The correlation of curvature similarity matrix with the laminar thickness covariance (LTC) matrix decreased after smoothing (right). (c) The curvature map (left) was significantly correlated with the principal axis of LTC (LTC G1), but the effect decreased after smoothing...
The principal axis of laminar thickness covariance (LTC G1) was significantly correlated with region...
(a) Locations of cortical samples for which laminar cellular data were available. (b) Neuronal segme...
A negative value indicates a decrease in the topographic value due to smoothing. Grey, solid lines a...
Geodesic distance (left) showed an inverse exponential relationship with the laminar thickness covar...
(a) The laminar thickness maps based on the postmortem histological atlas of BigBrain. (b, c) For ea...
Left top: The first 3 gradients collectively explained 63.7% of the variance in laminar thickness co...
(a) The principal axis of combined laminar thickness and intensity covariance matrices (LTIC G1) and...
The principal axis of laminar thickness covariance (LTC G1) created using a 3-layer model including ...
(a) The structural covariance matrix based on cortical thickness (left) in association with the lami...
(a) The map of cortical types (left hemisphere) shows increasing laminar differentiation from agranu...
The laminar thickness covariance maps (left hemisphere) are shown for the centroid vertex of selecte...
Maturational coupling matrix (MCM) was weakly associated with the laminar thickness covariance matri...
Laminar thickness covariance (LTC) and its principal axis was calculated separately on the left and ...
(a) The binarized SC matrix showing the existence of intrahemispheric connections (left). SC likelih...
(a) The average regional microstructural profiles show variations of BigBrain image intensity across...
The principal axis of laminar thickness covariance (LTC G1) was significantly correlated with region...
(a) Locations of cortical samples for which laminar cellular data were available. (b) Neuronal segme...
A negative value indicates a decrease in the topographic value due to smoothing. Grey, solid lines a...
Geodesic distance (left) showed an inverse exponential relationship with the laminar thickness covar...
(a) The laminar thickness maps based on the postmortem histological atlas of BigBrain. (b, c) For ea...
Left top: The first 3 gradients collectively explained 63.7% of the variance in laminar thickness co...
(a) The principal axis of combined laminar thickness and intensity covariance matrices (LTIC G1) and...
The principal axis of laminar thickness covariance (LTC G1) created using a 3-layer model including ...
(a) The structural covariance matrix based on cortical thickness (left) in association with the lami...
(a) The map of cortical types (left hemisphere) shows increasing laminar differentiation from agranu...
The laminar thickness covariance maps (left hemisphere) are shown for the centroid vertex of selecte...
Maturational coupling matrix (MCM) was weakly associated with the laminar thickness covariance matri...
Laminar thickness covariance (LTC) and its principal axis was calculated separately on the left and ...
(a) The binarized SC matrix showing the existence of intrahemispheric connections (left). SC likelih...
(a) The average regional microstructural profiles show variations of BigBrain image intensity across...
The principal axis of laminar thickness covariance (LTC G1) was significantly correlated with region...
(a) Locations of cortical samples for which laminar cellular data were available. (b) Neuronal segme...
A negative value indicates a decrease in the topographic value due to smoothing. Grey, solid lines a...