首页> 外文期刊>Progress in Neuro-Psychopharmacology & Biological Psychiatry: An International Research, Review and News Journal >Common and distinct dysfunctional patterns contribute to triple network model in schizophrenia and depression: A preliminary study
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Common and distinct dysfunctional patterns contribute to triple network model in schizophrenia and depression: A preliminary study

机译:常见而独特的功能失调模式有助于精神分裂症和抑郁症的三网模型:初步研究

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摘要

Background: Schizophrenia (SCH) and depression (DEP) are prevalent psychiatric disorders and share common and distinguished elements in their pathophysiology. A triple network model composed of the default mode network (DMN), salience network (SN) and central executive network (CEN) may represent a major abnormality across several psychiatric disorders including SCH and DEP. However, common and distinct dysfunctional patterns between SCH and DEP across three core networks remain unclear.
机译:背景:精神分裂症(SCH)和抑郁症(DEP)是普遍的精神病疾病,并在其病理生理学中分享常见和杰出的元素。 由默认模式网络(DMN),Parience Network(Sn)和中央行政网络(CEN)组成的三网式模型可能代表几种精神病患者的主要异常,包括SCH和DEP。 然而,SCH和DEP之间的常见和不同的功能障碍模式跨越三个核心网络仍然不清楚。

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    Univ Elect Sci &

    Technol China Sch Life Sci &

    Technol High Field Magnet Resonance Brain Imaging;

    Univ Elect Sci &

    Technol China Sch Life Sci &

    Technol High Field Magnet Resonance Brain Imaging;

    Univ Elect Sci &

    Technol China Sch Life Sci &

    Technol High Field Magnet Resonance Brain Imaging;

    Univ Elect Sci &

    Technol China Sch Life Sci &

    Technol High Field Magnet Resonance Brain Imaging;

    Univ Elect Sci &

    Technol China Sch Life Sci &

    Technol High Field Magnet Resonance Brain Imaging;

    Univ Elect Sci &

    Technol China Sch Life Sci &

    Technol High Field Magnet Resonance Brain Imaging;

    Univ Elect Sci &

    Technol China Sch Life Sci &

    Technol High Field Magnet Resonance Brain Imaging;

    Univ Elect Sci &

    Technol China Sch Life Sci &

    Technol High Field Magnet Resonance Brain Imaging;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 精神病学;
  • 关键词

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