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関連する概念動画

Obsessive-Compulsive Disorder01:28

Obsessive-Compulsive Disorder

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Obsessive-compulsive disorder (OCD) is a mental health condition characterized by recurrent obsessions, compulsions, or both, which consume significant time and interfere with daily functioning. Obsessions involve persistent, intrusive, and unwanted thoughts, images, or urges that evoke anxiety. Common examples include irrational fears of contamination or harm. Compulsions are repetitive behaviors or mental acts performed to reduce the anxiety caused by obsessions. For instance, individuals...
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Personality Disorders: Dependent and Obsessive-Compulsive01:24

Personality Disorders: Dependent and Obsessive-Compulsive

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Dependent personality disorder and obsessive-compulsive personality disorder are two separate psychological conditions that influence behavior, relationships, and overall life functioning. Though both involve maladaptive behaviors, their core characteristics and motivations differ significantly.
 Dependent Personality Disorder
Dependent personality disorder is characterized by an excessive reliance on others to manage various aspects of life. Individuals with this disorder often struggle...
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Classifying Matter by Composition03:35

Classifying Matter by Composition

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Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
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Convolution Properties II01:17

Convolution Properties II

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The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
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The Resting Membrane Potential01:21

The Resting Membrane Potential

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Overview
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Classifying Matter by State02:49

Classifying Matter by State

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Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
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関連する実験動画

Updated: Jan 28, 2026

Signal Attenuation as a Rat Model of Obsessive Compulsive Disorder
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畳み込みニューラルネットワークを用いた安静時脳波による強迫性障害の分類:パイロットスタディ

Brian Zaboski1, Sarah Fineberg2, Patrick Skosnik1

  • 1Yale University, US.

Computational psychiatry (Cambridge, Mass.)
|January 26, 2026
PubMed
まとめ

畳み込みニューラルネットワーク(CNN)は、安静時脳波(EEG)脳データを用いた強迫性障害(OCD)の特定に有望です。この深層学習アプローチは、OCDを持つ個人を区別する上で従来の医用画像処理法を大幅に上回りました。

キーワード:
畳み込みニューラルネットワーク深層学習脳波強迫性障害精密精神医学

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Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
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関連する実験動画

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Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
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科学分野:

  • 神経科学
  • 計算精神医学
  • 医療における機械学習

背景:

  • 脳データを用いた強迫性障害(OCD)の特定は困難です。
  • 安静時脳波(EEG)は、非侵襲的で安価な神経画像技術です。
  • 従来の機械学習手法は、OCDの予測EEG信号を検出する上で限定的な成功しか示していません。

主な方法:

  • 20人の参加者(OCD 10人、健常対照 10人)から安静時EEGデータを収集しました。
  • 4秒間のEEGセグメントを時間周波数表現に変換しました。
  • 1人を除いた交差検証フレームワークを使用して、2D CNNとSVMをトレーニングしました。

結論:

  • 安静時EEGに適用されたCNNは、OCDを特定するための重要な可能性を示しています。
  • 深層学習は、従来の医用画像処理法を上回る、神経データにおける複雑な診断パターンを明らかにすることができます。
  • 精神医学的分類のための多峰性モデルを調査するには、より大きく多様なサンプルを用いたさらなる研究が保証されます。