Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Drug Elimination by Renal Route: Glomerular Filtration01:17

Drug Elimination by Renal Route: Glomerular Filtration

5.6K
The kidney serves as the primary organ responsible for eliminating drugs and their metabolites from the body. This process, known as renal elimination, starts with glomerular filtration and results in urine formation. Each kidney houses millions of functional units called nephrons, where urine production takes place. A nephron has two main components: a renal corpuscle and a renal tubule. Drugs gain access to the kidney via the renal artery, which progressively branches off into afferent...
5.6K
Drug Elimination: The Concept of Clearance01:06

Drug Elimination: The Concept of Clearance

3.7K
Drug elimination refers to removing drugs from the body, either through urine by the kidneys or through bile by the liver. Drug clearance is a pharmacokinetic parameter that measures the efficiency of drug removal from the bloodstream within a specific time frame. It is calculated as the rate at which a drug is eliminated from plasma divided by the plasma concentration of the drug.
Drug clearance is not limited to renal excretion but encompasses all organs involved in drug elimination,...
3.7K
Drug Elimination: Non-Renal Routes01:23

Drug Elimination: Non-Renal Routes

3.1K
The liver plays a pivotal role in eliminating drugs and their metabolites, primarily through a process known as biliary excretion. This process involves the hepatocytes, the primary cells in the liver that generate bile. A range of transporters actively expels polar drugs or hydrophilic drug metabolites into the bile, which transports the drugs and metabolites into the small intestine. From here, they are eventually expelled from the body through feces. In some instances, the original drug or a...
3.1K
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

1.2K
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...
1.2K
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

855
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
855
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

347
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
347

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Decision-level processes in rapid numerosity estimation.

Cognition·2026
Same author

Place cells in CA1 lack topographical organization of firing locations.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Event structure sculpts neural population dynamics in the lateral entorhinal cortex.

Science (New York, N.Y.)·2025
Same author

Left-right-alternating theta sweeps in entorhinal-hippocampal maps of space.

Nature·2025
Same author

Investigating Egocentric Tuning in Hippocampal CA1 Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2024
Same author

Environment geometry alters subiculum boundary vector cell receptive fields in adulthood and early development.

Nature communications·2024

関連する実験動画

Updated: May 3, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
08:32

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

5.5K

エントリヒナルグリッドマップは, дискрет化されています.

Hanne Stensola1, Tor Stensola, Trygve Solstad

  • 1Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, Norwegian University of Science and Technology, 7491 Trondheim, Norway. hanne.stensola@ntnu.no

Nature
|December 11, 2012
PubMed
まとめ
この要約は機械生成です。

中部エントロリナル皮質のグリッドシステムは,統一された全体ではなく,異なる独立したモジュールで構成されています. これらのモジュールは,ユニークな特性を有しており,環境の変化に個別に適応することができ,自己組織化ネットワークのダイナミクスを示唆しています.

さらに関連する動画

Nitroreductase/Metronidazole-Mediated Ablation and a MATLAB Platform RpEGEN for Studying Regeneration of the Zebrafish Retinal Pigment Epithelium
13:12

Nitroreductase/Metronidazole-Mediated Ablation and a MATLAB Platform RpEGEN for Studying Regeneration of the Zebrafish Retinal Pigment Epithelium

Published on: March 2, 2022

2.3K
Fluorescence-Activated Nuclei Negative Sorting of Neurons Combined with Single Nuclei RNA Sequencing to Study the Hippocampal Neurogenic Niche
08:16

Fluorescence-Activated Nuclei Negative Sorting of Neurons Combined with Single Nuclei RNA Sequencing to Study the Hippocampal Neurogenic Niche

Published on: October 20, 2022

3.8K

関連する実験動画

Last Updated: May 3, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
08:32

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

5.5K
Nitroreductase/Metronidazole-Mediated Ablation and a MATLAB Platform RpEGEN for Studying Regeneration of the Zebrafish Retinal Pigment Epithelium
13:12

Nitroreductase/Metronidazole-Mediated Ablation and a MATLAB Platform RpEGEN for Studying Regeneration of the Zebrafish Retinal Pigment Epithelium

Published on: March 2, 2022

2.3K
Fluorescence-Activated Nuclei Negative Sorting of Neurons Combined with Single Nuclei RNA Sequencing to Study the Hippocampal Neurogenic Niche
08:16

Fluorescence-Activated Nuclei Negative Sorting of Neurons Combined with Single Nuclei RNA Sequencing to Study the Hippocampal Neurogenic Niche

Published on: October 20, 2022

3.8K

科学分野:

  • 神経科学は神経科学である.
  • システム神経科学 システム神経科学
  • 認知神経科学とは

背景:

  • 中間腸内皮質 (MEC) は,空間ナビゲーションと自己位置表現に不可欠です.
  • MEC内のグリッド細胞は,空間地図を形成する周期的な六角形火場を示します.
  • 以前の研究では,グリッドシステムが統一的かモジュール的かを判断するのに十分な解剖学的サンプリングが欠けていました.

研究 の 目的:

  • 介的腸内皮質内のグリッド細胞の構造的組織を調査する.
  • 格子細胞が統一されたシステムか,または独立したモジュールか判断する.
  • 空間表現のためのグリッドセル組織の機能的意味合いを探求する.

主な方法:

  • ラットで広範な電気生理学的記録が行われ,動物ごとに最大186のグリッド細胞からデータを収集した.
  • 分析は,個々のグリッドセルの空間的な発射場,スケール,方向,非対称性,テータ周波数調節に焦点を当てた.
  • 潜在的モジュールを特定するために,解剖学的重複とグリッド細胞のクラスタリングを調査した.

主要な成果:

  • 格子細胞は,少数の層にわたる,解剖学的に重なり合うモジュールにクラスタリングすることが判明しました.
  • 各モジュールは,ユニークなスケール,方向性,非対称性,テータ周波数調節を含む,独特の特徴を示した.
  • これらの特定されたモジュールは,環境幾何学の変化に対する独立した反応を示した.

結論:

  • 介的腸内皮質のグリッドシステムは,単一で機能的に自律的なモジュールに組織され,統一システムという概念に挑戦しています.
  • モジュール型の組織と独立した応答性は,グリッドマップのトポグラフィーがローカルな自己組織化ネットワークのダイナミクスから生じることを示唆しています.
  • この発見は,感覚システムで観察された連続した地形と対照的であり,空間認知のメカニズムに関する新しい洞察を提供します.