Symptoms and Spectrum of Bipolar Disorder

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Abstract

This chapter introduces the symptoms of depression and mania as well as some symptoms commonly associated with bipolar disorder. Patients with bipolar disorder often present with symptoms that are nearly identical to those of patients with unipolar depression, and recognizing differences between these disorders can therefore be difficult. Patients with bipolar disorder often seek help during periods of depression and report manic symptoms with less frequency, further complicating diagnosis. Although bipolar disorder is increasingly diagnosed, it is still quite often overlooked or misdiagnosed as unipolar depression, anxiety, or other psychiatric illnesses. A spectrum of disorders might be a more realistic way to conceptualize bipolar illness, as patients present with a variety of mood cycles not sufficiently characterized by the traditional distinctions of Bipolar I, Bipolar II, and cyclothymic disorder. To account for this individuality, a symptom-based treatment algorithm can help guide therapeutic decisions. The premise of this algorithm is to first attain a full understanding of each patient’s clinical symptoms and then to make treatment decisions based on thorough knowledge of the neurobiological and pharmacological interactions involved in each treatment choice. Chapter 1 introduces the first step of this algorithm: identifying diagnostic and associated symptoms. Chapter 1 Stahl’s Illustrated
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双相情感障碍的症状和频谱
本章介绍抑郁和躁狂症的症状,以及双相情感障碍的一些常见症状。双相情感障碍患者通常表现出与单相抑郁症患者几乎相同的症状,因此很难识别这些疾病之间的差异。双相情感障碍患者通常在抑郁期间寻求帮助,报告躁狂症状的频率较低,进一步使诊断复杂化。尽管双相情感障碍越来越多地被诊断出来,但它仍然经常被忽视或误诊为单极抑郁症、焦虑症或其他精神疾病。障碍谱系可能是概念化双相情感障碍的一种更现实的方法,因为患者表现出各种情绪周期,而传统的双相情感障碍I、双相情感障碍II和循环胸腺病的特征并不充分。为了解释这种个性,基于症状的治疗算法可以帮助指导治疗决策。该算法的前提是首先充分了解每个患者的临床症状,然后在充分了解每种治疗选择所涉及的神经生物学和药理学相互作用的基础上做出治疗决策。第1章介绍了该算法的第一步:识别诊断和相关症状。第一章《斯塔尔画报
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Building a Treatment Plan Lithium and Various Anticonvulsants as Mood Stabilizers for Bipolar Disorder From Symptoms to Circuits Symptoms and Spectrum of Bipolar Disorder From Circuits to Mechanisms
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