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相关概念视频

Cognitivism01:17

Cognitivism

1.4K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
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Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders01:27

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders

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Schizophrenia is a neurodevelopmental disorder whose origins are rooted in complex genetic components. Despite our burgeoning understanding, the pathophysiology of this disorder remains incompletely deciphered.
Researchers have identified genetic factors that increase susceptibility to schizophrenia, underscoring the intricate interplay between genetics and environment in disease development. At the core of schizophrenia's pathophysiology is excessive dopaminergic neurotransmission within...
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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

525
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
525
Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

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Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
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Neuroplasticity01:01

Neuroplasticity

444
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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Neuron Structure01:30

Neuron Structure

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Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
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相关实验视频

Updated: Jul 16, 2025

Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans
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现代神经病理学背后的认知框架

José Javier Otero1

  • 1From the Department of Pathology, Division of Neuropathology, The Ohio State University College of Medicine, Columbus.

Archives of pathology & laboratory medicine
|September 11, 2023
PubMed
概括

简单的机器学习可以帮助诊断中枢神经系统瘤,特别是在资源有限的地区. 这种方法有助于简化病理学工作流程,并确定关键的诊断生物标志物.

科学领域:

  • 神经病理学神经病理学
  • 计算生物学 计算生物学
  • 在瘤学瘤学.

背景情况:

  • 2021年世界卫生组织对中枢神经系统瘤的分类整合了先进的诊断.
  • 这种新方案的全球实施具有挑战性,特别是在资源有限的医疗保健机构.
  • 专家神经病理学家的稀缺性进一步使中枢神经系统瘤的准确诊断更加复杂.

研究的目的:

  • 展示基本无监督机器学习算法的诊断实用性.
  • 利用公开可用的数据集来展示这些机器学习应用程序.
  • 为在资源有限的环境中部署神经病理学分类提出解决方案.

主要方法:

  • 利用了癌症基因组图谱 (TCGA) 的RNA测序数据.
  • 专注于与低级和高级质瘤有关的数据集.
  • 使用无监督的机器学习技术进行分析.

主要成果:

  • 对RNA测序数据的机器学习分析可以帮助瘤分类.
  • 信息理论的量化可以优化病理学工作流程.
  • 确定了潜在的生物标志物,以提高诊断准确度.

结论:

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  • 仅仅基于甲基化的分类无法解决所有神经病理学诊断挑战.
  • 信息理论驱动的方法可以通过防止不必要的测试来增强诊断工作流.
  • 这项研究强调了计算方法在支持神经病理学诊断方面的潜力.