14.6 Mood Disorders: Clinical Features

نویسنده

  • HAGOP S. AKISKAL
چکیده

Terminology Mood disorders are characterized by pervasive dysregulation of mood and psychomotor activity and by related biorhythmic and cognitive disturbances. The rubric of “affective disorder,” which in some European classifications also subsumes morbid anxiety states, is increasingly being replaced by the nosologically more delimited concept of “mood disorder.” Thus mood disorder is now the preferred term in both the World Health Organization's (WHO's) 10th revision of International Statistical Classification of Diseases and Related Health Problems (ICD-10) and the American Psychiatric Association's (APA's) fourth edition of Diagnostic and Statistical Manual of Mental Disorders (DSMIV). Official mood disorder categories in current use include bipolar disorders (with manic or hypomanic, depressive, or mixed episodes) and major depressive disorders and their respective attenuated variants known as cyclothymic and dysthymic disorders. Conditions that in earlier editions of these manuals were categorized as “endogenous depression,” “involutional melancholia,” and “psychotic depressive reaction” have been incorporated into major depressive disorder, whereas “depressive neurosis” has been largely absorbed by dysthymic disorder. Although the neuroticendogenous distinction has been officially deleted, the term “melancholic features” is now used to qualify major depressive disorders in which biological concomitants predominate. While both the American and international classifications recognize the common occurrence of mixed anxietydepressions, whether they should be classified with mood disorders or with anxiety disorders remains unresolved. It is equally uncertain how to classify the classic neurasthenic conditions, which have recently reemerged and overlap to some extent with the so-called chronic fatigue syndrome.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

بررسی میزان و عوامل مؤثر بر تغییر تشخیص اختلالات خلقی به اسکیزوفرنیا پس از شش سال

Introduction: The purpose of this study was to assess prevalence and possible variables on the change of diagnosis in mood disorder patients to schizophrenia. Methods: This study was a retrospective and comparative analytic research that was performed in 2006 at Razi psychiatric hospital. The study included all of the 176 patients who were hospitalized in 2000 with diagnosis of a mood disorder...

متن کامل

Brain complexity increases during the manic episode of bipolar mood disorder type I

Fractal dimension of the electroencephalographic (EEG) signal has been argued to reflect the complexity of the underlying brain processes. To this date, conventional studies of EEG in mood disorders have not been able to distinguish between patients and normal individuals. Here we show that, compared to normal subjects, EEG fractal dimension is significantly augmented in the manic episode of bi...

متن کامل

Brain complexity increases during the manic episode of bipolar mood disorder type I

Fractal dimension of the electroencephalographic (EEG) signal has been argued to reflect the complexity of the underlying brain processes. To this date, conventional studies of EEG in mood disorders have not been able to distinguish between patients and normal individuals. Here we show that, compared to normal subjects, EEG fractal dimension is significantly augmented in the manic episode of bi...

متن کامل

Assessment of Prevalence of Disruptive Mood Dysregulation Disorder and its Comorbidities in Nine- to Twelve-Year-Old Male Students in Bushehr

Introduction: One of the controversial disorders recently introduced in DSM-5 is Disruptive Mood Dysregulation Disorder (DMDD). The main symptoms of DMDD include regular outbursts, verbal and behavioral anger, and constant irritability. The present study aims to explore the prevalence of DMDD and its associated disorders Method: The study population included all 9-12-year-old students(Grades 3 ...

متن کامل

Accuracy Improvement of Mood Disorders Prediction using a Combination of Data Mining and Meta-Heuristic Algorithms

Introduction: Since the delay or mistake in the diagnosis of mood disorders due to the similarity of their symptoms hinders effective treatment, this study aimed to accurately diagnose mood disorders including psychosis, autism, personality disorder, bipolar, depression, and schizophrenia, through modeling and analyzing patients' data. Method: Data collected in this applied developmental resear...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004