Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Synthesis and Decomposition Reactions02:17

Synthesis and Decomposition Reactions

38.2K
Synthesis and decomposition are two types of redox reactions. Synthesis means to make something, whereas decomposition means to break something. The reactions are accompanied by chemical and energy changes. 
38.2K
Dissociative Disorders01:27

Dissociative Disorders

575
Dissociative disorders represent complex psychological conditions characterized by disruptions in consciousness, memory, identity, or perception. These disruptions cause individuals to experience a disconnection from their thoughts, emotions, and memories. The phenomenon is not merely an occasional lapse in attention but a profound alteration in mental functioning that can severely impact daily life.
Dissociative Fugue
A hallmark feature of dissociative disorders is the dissociative fugue...
575
Dissociative Amnesia01:21

Dissociative Amnesia

598
Dissociative amnesia is a complex psychological condition that manifests as an inability to recall personal information, often tied to traumatic or stressful events. Unlike general amnesia, individuals with this condition retain the ability to perform routine activities and procedural tasks, such as operating a phone or navigating public transportation, yet experience profound gaps in autobiographical memory. These lapses may encompass significant life events, such as suicide attempts or...
598
Structures of Solids02:22

Structures of Solids

17.7K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
17.7K
Yeast Signaling01:28

Yeast Signaling

17.3K
Yeasts are single-celled organisms, but unlike bacteria, they are eukaryotes (cells with a nucleus). Cell signaling in yeast is similar to signaling in other eukaryotic cells. A ligand, such as a protein or a small molecule released from a yeast cell, attaches to a receptor on the cell surface. The binding stimulates second-messenger kinases to activate or inactivate transcription factors that further regulate gene expression. Many of the yeast intracellular signaling cascades have similar...
17.3K
Protein and Protein Structure02:15

Protein and Protein Structure

87.6K
Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
87.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Comparison study of population-based methods for non-invasive fetal electrocardiography extraction.

Frontiers in medicine·2026
Same author

Small Intestinal Bacterial Overgrowth: Microbiome Dysregulation, Gut-Brain Axis Disruption, and Systemic Consequences.

Molecular nutrition & food research·2026
Same author

Nuclear Proteomics to Understand the Promotive Effect of Plant-Derived Smoke Solution on Wheat Under Salt Stress.

Proteomes·2026
Same author

Vagus nerve stimulation for refractory epilepsy: a 24-year single-center experience.

Journal of neurosurgery·2026
Same author

Video-based hand gesture recognition via SPD manifold spatial representation and optical flow motion features.

PloS one·2026
Same author

Optimizing image watermarking integrity and visual quality via DTPSO and hybrid transform methods.

Scientific reports·2026

相关实验视频

Updated: Feb 4, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.6K

结构分离PCA方法用于高维神经成像信号分解.

Muhammad Usman Khalid1, Malik Muhammad Nauman2, Shafiq Ur Rehman1

  • 1College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11564, Saudi Arabia.

Scientific reports
|February 2, 2026
PubMed
概括

这项研究引入了一个新的结构化离散PCA框架用于fMRI源分离,与现有方法相比,改善大脑网络恢复和时间忠实性.

更多相关视频

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.4K
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.8K

相关实验视频

Last Updated: Feb 4, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.6K
Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.4K
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.8K

科学领域:

  • 神经成像是一种神经成像.
  • 计算神经科学是一种神经科学.
  • 信号处理 信号处理

背景情况:

  • 稀疏主要组件分析 (SPCA) 和独立组件分析 (ICA) 是常见的fMRI盲源分离.
  • 孤立的稀疏性或独立性约束可能会扭曲空间连贯性,并降低fMRI数据的源回收,特别是重叠网络.

研究的目的:

  • 为改善fMRI源分离提出一个新的统一结构化离散PCA (SDPCA) 框架.
  • 在单个分解中共同学习解离和表示矩阵,以增强网络恢复.

主要方法:

  • 集成的时空先验 (DCT,splines,血液动力学模型) 变成单数值分解 (SVD).
  • 开发了两个算法,SDPCAG (块坐标下降) 和SDPCAC (坐标下降),使用自适应的行wise稀疏性和相关性引导最小平方重建.
  • 采用了一种代的双分解策略,精确恢复空间连贯的大脑网络.

主要成果:

  • 在合成,块设计和与事件相关的fMRI数据集中,SDPCA框架表现出优于最先进的方法 (PMD,ACSDBE,SICA) 的性能.
  • 与ACSDBE相比,SDPCAG在源回收准确度上实现了22%的改进.
  • 与SDPCAC相比,SDPCAG的速度是SDPCAC的1.6倍,结果相似.

结论:

  • 拟议的SDPCA框架有效地解开重叠的来源,并否认fMRI数据,保持空间连贯性和时间忠实性.
  • SDPCAG为fMRI盲源分离提供了一个计算效率高,准确的解决方案.