Cortical Tissue Analysis
Cortical Tissue 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.
10:50
Isolation of Pericytes from Mouse Cortical Tissue Using FACS for Single-cell Sequencing
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Cited by 1 •
2026
To obtain mouse brain cortical pericytes meeting the demands of scRNA-seq, we present a critically optimized FACS protocol based on CD13⁺/CD31⁻ selection. Our key refinements significantly enhance cell viability and RNA integrity, enabling reliable transcriptomic profiling.
07:29
Generation of Neural Stem Cells from Discarded Human Fetal Cortical Tissue
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Cited by 19 •
2011
A simple and reliable method on isolation and culture of neural stem cells from discarded human fetal cortical tissue is described. Cultures derived from known human neurological disorders can be used for characterization of pathological cellular and molecular processes, as well as provide a platform to assess pharmacological efficacy.
09:13
Cryopreservation of Cortical Tissue Blocks for the Generation of Highly Enriched Neuronal Cultures
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Cited by 6 •
2010
Here, we describe a method for efficient cryopreservation and thawing of cortical brain tissue blocks to generate highly enriched neuronal cultures. This simple protocol provides flexibility for later generation of neuronal, astrocyte, and neuronal precursor cell cultures.
10:48
SDS-PAGE/Immunoblot Detection of Aβ Multimers in Human Cortical Tissue Homogenates using Antigen-Epitope Retrieval
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Cited by 26 •
2010
We describe a technique for the preparation of clarified human cortical homogenates, protein separation by SDS-PAGE, antigen retrieval and immunoblotting with an antibody to the Aβ peptide. Using this protocol, we consistently detect monomeric and multimeric Aβ in cortical tissue from humans with Alzheimer's pathology.
FAQs
Each stage preserves or reveals a different level of information. Fixation maintains tissue structure, while sectioning creates thin samples suitable for examination. Histological stains expose cellular organization, and immunolabeling identifies selected molecular or cellular features. Microscopy then records these patterns for analysis, allowing researchers to connect cortical architecture with molecular composition and pathological change.
Histological stains help distinguish overall tissue organization, including neurons, glial cells, and cortical layers. Immunolabeling adds molecular specificity by marking selected targets within those structures. Using both approaches lets investigators examine broad anatomical patterns and more focused cellular or molecular changes, which is important when comparing normal cortex with tissue affected by injury or disease.
Quantitative image analysis converts microscopic observations into measurements that can be compared across samples or experimental groups. These measurements may describe cellular organization, molecular labeling, cortical layers, or pathological changes. Standardized quantification strengthens comparisons between healthy and diseased tissue and helps relate microscopic findings to experimental outcomes rather than relying only on visual impressions.
Measurements from cortical samples can be interpreted alongside behavior or neural function to examine whether tissue changes correspond to altered performance or activity. Cellular organization, molecular composition, connectivity, and functional state provide complementary views of the cortex. This relationship helps neuroscience researchers move from describing microscopic differences to evaluating their significance in brain function and disease.
A typical workflow begins with tissue fixation and sectioning, followed by histological staining or immunolabeling. Researchers then examine the sections with microscopy and apply quantitative image analysis to the recorded features. The resulting measurements can be organized for comparisons between conditions, such as healthy and diseased tissue, or between experimental models and their controls.
Researchers use this approach when they need microscopic evidence of brain injury, neurodegeneration, disease-related change, or model validity. By comparing cortical samples across conditions, they can determine whether an experimental model reproduces relevant tissue features. The findings can also support interpretation of behavioral results or neural-function measurements obtained from the same research context.
Such comparisons can identify differences in cellular organization, molecular composition, cortical layers, connectivity, or pathological appearance. Quantified differences help characterize how disease or injury affects the cortex and provide evidence for evaluating experimental models. When combined with functional or behavioral information, the results can indicate whether microscopic abnormalities are associated with broader neurological changes.