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相关概念视频

Negative and Cognitive Symptoms of Schizophrenia01:30

Negative and Cognitive Symptoms of Schizophrenia

584
Negative symptoms of schizophrenia indicate a reduction or absence of typical behaviors and emotional responses found in healthy individuals, while positive symptoms reflect an excess or distortion of normal functioning.
Negative Symptoms
Negative symptoms of schizophrenia manifest as deficits in normal emotional and behavioral functioning, profoundly impacting daily life. Individuals with schizophrenia often display a flat affect, characterized by a near-total absence of emotional expression,...
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Entropy02:39

Entropy

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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Entropy01:18

Entropy

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The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
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Positive Symptoms Schizophrenia: Hallucinations and Delusions01:26

Positive Symptoms Schizophrenia: Hallucinations and Delusions

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Schizophrenia is a complex psychiatric disorder characterized by a range of symptoms that significantly impact cognition, behavior, and emotional regulation. Among these, the positive symptoms stand out as they involve the addition or exaggeration of normal mental functions, deviating markedly from typical behavior and perception. Hallucinations and delusions are prominent positive symptoms, each profoundly affecting the individual's experience of reality.
Hallucinations
Hallucinations in...
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Positive Symptoms of Schizophrenia: Hallucinations and Delusions01:30

Positive Symptoms of Schizophrenia: Hallucinations and Delusions

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Schizophrenia is a complex mental health disorder that can manifest with various positive symptoms, including thought, movement, and behavior disorders. These symptoms significantly disrupt cognitive and motor functions, leading to profound effects on an individual's ability to engage with the world.
Thought Disorders
Disorganized and unusual thought processes mark thought disorders in schizophrenia. One key feature is disorganized speech, where an individual's conversation includes...
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Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
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Updated: Feb 7, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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当随机性变得硬时:精神分裂症中的动态连接和症状相关网络功能障碍.

Natalia Maksymchuk, Robyn L Miller, Armin Iraji

    bioRxiv : the preprint server for biology
    |February 6, 2026
    PubMed
    概括

    动态互联网连接 (DICE) 为精神分裂症 (SZ) 提供了一个新的生物标志物. 这种框架揭示了不同的大脑连接模式和症状关联,有助于个性化的精神疾病治疗.

    科学领域:

    • 神经科学是一个神经科学.
    • 计算精神病学是一种计算精神病学.
    • 生物标志物发现发现

    背景情况:

    • 动态功能连接 (dFNC) 的高维度阻碍了精神疾病中的临床解释和生物标志物发现.
    • 现有的方法难以捕捉大脑网络复杂的时间动态.

    研究的目的:

    • 引入和验证一种新的分析框架,即动态网络间连接 (DICE),作为精神疾病的潜在生物标志物.
    • 探索DICE功能在区分患者和对照者以及识别病理生理学特征方面的实用性.

    主要方法:

    • 利用了来自311名参与者的静止状态fMRI数据 (160名对照组,151名精神分裂症患者).
    • 确定了53个内在网络,计算了DICE,并推导出了三个指标家族:水平/范围,分布形状/时间组织,状态目录/占用.
    • 使用PANSS尺度分析了DICE指标和症状维度之间的关联.

    主要成果:

    • 精神分裂症 (SZ) 患者表现出改变动态的多维特征,包括基线升,波动和加速减少.
    • SZ患者表现出游的时间持久性减少,分布更接近高斯式,状态的剧目缩小,并且在接近基线的配置中时间延长.
    • 特定的DICE指标与不同的症状维度相关,例如一般,正面和负面症状,以及抑郁症.

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    Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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    Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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    Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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    结论:

    • DICE提供了精神分裂症中大脑连接动态变化的多维签名,超越了简单的患者控制歧视.
    • 基于DICE的指标揭示了不同的病理生理学特征和与症状维度的差异关联,为生物标志物开发提供了潜力.
    • 通过阐明特定的神经生物学变化,DICE框架可以指导针对精神疾病的个性化治疗策略.