Cortical Surface Analysis
Cortical Surface Analysis - Related Videos
09:32
Cortical Source Analysis of High-Density EEG Recordings in Children
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Cited by 6 •
2014
In recent years, there has been increasing interest in estimating the cortical sources of scalp measured electrical activity for cognitive neuroscience experiments. This article describes how high density EEG is acquired and how recordings are processed for cortical source estimation in children from the age of 2 years at the London Baby Lab.
14:11
Quantification of Hydrogen Concentrations in Surface and Interface Layers and Bulk Materials through Depth Profiling with Nuclear Reaction Analysis
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Cited by 21 •
2016
We illustrate the application of 1H(15N,αγ)12C resonant nuclear reaction analysis (NRA) to quantitatively evaluate the density of hydrogen atoms on the surface, in the volume, and at an interfacial layer of solid materials. The near-surface hydrogen depth profiling of a Pd(110) single crystal and of SiO2/Si(100) stacks is described.
10:16
Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
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Cited by 186 •
2016
The protocol below describes the methodology for: microplastics sampling on the sea surface, separation of microplastic and chemical identification of particles. This protocol is in line with the recommendations for microplastics monitoring published by the MSFD Technical Subgroup on Marine Litter.
09:45
In vivo Imaging of Deep Cortical Layers using a Microprism
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Cited by 11 •
2009
Right-angle microprisms inserted into the mouse neocortex allows for deep imaging of multiple cortical layers with a viewpoint typically found in slice. One-millimeter microprisms offer a wide field-of-view (~900 μm) and spatial resolutions sufficient to resolve dendritic spines. We demonstrate layer V neuronal imaging and neocortical vascular imaging using microprisms.
12:15
Calcium Imaging of Cortical Neurons using Fura-2 AM
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Cited by 108 •
2009
Calcium signals play a key role in many cellular processes including gene expression, survival and differentiation. Here we demonstrate how to perform calcium imaging using Fura-2 AM. Calcium imaging is a valuable tool to study the regulation of intracellular calcium in real time and its regulation of signaling cascades.
FAQs
These measurements describe complementary aspects of cortical organization. Cortical thickness quantifies the extent of the gray matter layer, while surface area captures its spatial extent. Curvature and sulcal patterns characterize the geometry of folds across the reconstructed surface. Examining them separately can reveal region-specific structural differences that a single measurement might not capture.
Identifying the boundaries of gray matter provides the structural basis for constructing the cortical surface and calculating anatomical measures. If those boundaries are not established, thickness and geometric features cannot be related consistently to specific cortical regions. This step therefore connects the information in magnetic resonance images with quantitative descriptions of cortical organization.
Sulcal patterns and curvature describe how the cortex is folded rather than only how much tissue it contains. Comparing these features across individuals or regions can characterize differences in cortical organization and individual variability. In neuroscience studies, such comparisons complement thickness and surface-area measurements when researchers examine region-specific structural patterns.
The workflow begins with a high-resolution magnetic resonance image, followed by identification of the gray matter boundaries. Those boundaries are used to reconstruct a three-dimensional cortical surface. The resulting surface can then be quantified for thickness, surface area, curvature, and sulcal patterns, producing structural measures suitable for comparisons across participants or time points.
High-resolution magnetic resonance images provide the detailed anatomical information needed to identify cortical gray matter boundaries and represent the folded surface in three dimensions. That detail supports calculation of region-specific structural features, including thickness, area, curvature, and sulcal patterns. The resulting measurements can be used to study organization and structural change in neuroscience.
Researchers apply these measurements to investigate brain development, aging, individual variability, and structural changes linked with neurological or psychiatric disorders. Comparing cortical surfaces across participants or across time points can identify region-specific patterns. The same strategy also supports studies of brain function, disease mechanisms, and treatment outcomes by tracking structural organization and its changes.