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関連する概念動画

Long-term Depression01:05

Long-term Depression

33.4K
Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
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Long-term Depression01:03

Long-term Depression

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Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
Calcium Ion Concentration Mechanism
If over...
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Freezing Point Depression and Boiling Point Elevation03:12

Freezing Point Depression and Boiling Point Elevation

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Boiling Point Elevation
The boiling point of a liquid is the temperature at which its vapor pressure is equal to ambient atmospheric pressure. Since the vapor pressure of a solution is lowered due to the presence of nonvolatile solutes, it stands to reason that the solution’s boiling point will subsequently be increased. Vapor pressure increases with temperature, and so a solution will require a higher temperature than will pure solvent to achieve any given vapor pressure, including one...
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Encoding01:19

Encoding

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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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Depressants01:28

Depressants

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Depressant drugs, including alcohol and sedative-hypnotics, diminish central nervous system activity by enhancing the action of gamma-aminobutyric acid (GABA), a neurotransmitter that reduces brain activity and promotes relaxation. These substances can have various therapeutic uses but also pose significant risks, especially when misused or combined.
Alcohol is a common depressant that can induce a sense of relaxation and reduced inhibition at low doses. Contrary to its occasional...
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Depression: Overview01:18

Depression: Overview

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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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Monitoring Dynamic Changes In Mitochondrial Calcium Levels During Apoptosis Using A Genetically Encoded Calcium Sensor
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脳全体の電気的時空ダイナミクス 暗号化 鬱 脆弱性

Rainbo Hultman1, Kyle Ulrich2, Benjamin D Sachs3

  • 1Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA.

Cell
|March 6, 2018
PubMed
まとめ
この要約は機械生成です。

研究者らはマウスの大きなうつ病 (MDD) の脆弱性を予測する脳のネットワークを特定しました. このネットワークは 特定の脳領域を巻き込んでおり 脅威によって活性化され ストレスによる機能障害とは異なり MDDの重要なメカニズムを示しています

キーワード:
脳についてうつ病電気についてケタミンネットワーク振動時空ダイナミクスストレス

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科学分野:

  • 神経科学
  • 計算神経科学
  • 行動神経科学

背景:

  • 脳の振動は ネットワークレベルのシグナル伝達と 行動に不可欠です
  • 神経振動の空間時間的動態を理解することは 感情障害の脳の機能を解読する鍵です
  • 重度のうつ病 (MDD) は 脳のネットワークの変化に関連した 複雑な行動障害を伴うものです

研究 の 目的:

  • MDDの脆弱性に関連した特定の脳ネットワークを特定し,特徴づけること.
  • MDDに関連する行動を予測する神経活動の空間時間的動態を調査する.
  • 脆弱性ネットワークと ストレスに起因する機能障害を 区別する

主な方法:

  • 脳全域の局所電位振動を分析するために 機械学習を利用した.
  • マウスにおける慢性的な社会的敗北のストレスモデルを用いて MDDに関連する行動を誘発した.
  • ニューラルネットワークの起源と収束点を 脳の重要な領域で追跡した

主要な成果:

  • MDDに関連する行動障害の 予測空間時間的ダイナミックネットワークを発見しました
  • このネットワークの活動は前頭前皮質と腹筋筋から始まり,桃体と腹部帯領域を通過し,腹部海馬に収束します.
  • 特定されたネットワークは,MDDの脆弱性モデルを介して,急性脅威によって強化されています.
  • この脆弱性ネットワークは ストレス後の機能不全を媒介するネットワークとは 異なっていることが示されています

結論:

  • 統合失調症の 脆弱性を表す 神経機構の収束を明らかにした
  • 特定されたネットワークは,MDDの感受性を予測する潜在的なバイオマーカーとして機能します.
  • これらの発見は 感情的病理と鬱病の 神経的基礎について 根本的な洞察を与えてくれます