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Related Concept Videos

Association Areas of the Cortex01:21

Association Areas of the Cortex

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
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How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
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Sustainable Development01:43

Sustainable Development

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As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
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How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
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Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Related Experiment Video

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Transcriptome Analysis of Single Cells
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ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex.

Jorge Kageyama1, Damian Wollny1, Barbara Treutlein1,2,3

  • 1Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.

Frontiers in Neuroscience
|June 6, 2018
PubMed
Summary
This summary is machine-generated.

Single-cell mRNA sequencing (scRNA-seq) reveals cell types and developmental paths in the human cortex. A new resource, ShinyCortex, offers accessible analysis of scRNA-seq data for studying brain development.

Keywords:
cortex developmentcorticogenesisorganoidssingle cell RNA sequencingsingle-cell transcriptomics

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Area of Science:

  • Neuroscience
  • Genomics
  • Developmental Biology

Background:

  • Single-cell mRNA sequencing (scRNA-seq) is crucial for understanding complex tissue development.
  • The developing human cortex presents a complex system for studying cell differentiation and gene regulation.

Purpose of the Study:

  • To provide an overview of scRNA-seq applications in human cortex development.
  • To introduce ShinyCortex, a resource for analyzing scRNA-seq data from developing cortices.

Main Methods:

  • Overview of scRNA-seq methodologies and their impact on developmental studies.
  • Development and implementation of ShinyCortex, an R-based data analysis platform.

Main Results:

  • scRNA-seq facilitates cell type identification and trajectory reconstruction.
  • ShinyCortex integrates and visualizes scRNA-seq data from human and mouse cortices.

Conclusions:

  • scRNA-seq is transforming the study of human brain development.
  • ShinyCortex provides an accessible tool for biologists to explore developmental gene expression data.