Bipolar disorder (BD) is a common, disabling mental disorder, affecting approximately 2% of the world’s population. However, in clinical practice, the misdiagnosis rate of bipolar disorder is as high as 68% or even more, and delayed diagnosis is also highly prevalent. According to the current diagnostic criteria of bipolar disorder, the diagnosis of bipolar disorder can be made only when a history of (hypo) manic episode has been detected. It is the big challenge that the diagnosis of bipolar disorder is confronted with. On one hand, it is very common for patients with bipolar disorder to intentionally or unconsciously under report (hypo)manic symptoms. On the other hand, for some patients, they start with depressive episode and their (hypo) manic episodes are yet to come. In addition, the gender, age, culture, and other related factors are not given consideration in the current diagnostic criteria of bipolar disorder. Finally, no biological or objective index is available to help diagnose bipolar disorder. Therefore, a lot of work is needed to improve the diagnosis of bipolar disorder.
The goal of this Research Topic is to explore potential differences in diagnostic criteria of bipolar disorder across life spans, cultures and ethnic groups, in order to develop new strategies, new technologies, new tools or new approaches to better screen for or diagnose bipolar disorder.
This Research Topic welcomes evidence-based research studies, including but not limited to the following Topics:
• Diagnostic criteria of bipolar disorder among children and adolescents
• Diagnostic criteria of bipolar disorder among elderly population
• Diagnostic criteria of bipolar disorder among minority groups
• Biomarkers that help diagnose bipolar disorder
• New self-rated scales to screen for bipolar disorder
• New technologies to diagnose bipolar disorder, including facial expression recognition, artificial intelligence, brain imaging, and neuroelectrophysiology
• New strategies of diagnosing bipolar disorder
• New approaches to differentially diagnose bipolar disorder
Bipolar disorder (BD) is a common, disabling mental disorder, affecting approximately 2% of the world’s population. However, in clinical practice, the misdiagnosis rate of bipolar disorder is as high as 68% or even more, and delayed diagnosis is also highly prevalent. According to the current diagnostic criteria of bipolar disorder, the diagnosis of bipolar disorder can be made only when a history of (hypo) manic episode has been detected. It is the big challenge that the diagnosis of bipolar disorder is confronted with. On one hand, it is very common for patients with bipolar disorder to intentionally or unconsciously under report (hypo)manic symptoms. On the other hand, for some patients, they start with depressive episode and their (hypo) manic episodes are yet to come. In addition, the gender, age, culture, and other related factors are not given consideration in the current diagnostic criteria of bipolar disorder. Finally, no biological or objective index is available to help diagnose bipolar disorder. Therefore, a lot of work is needed to improve the diagnosis of bipolar disorder.
The goal of this Research Topic is to explore potential differences in diagnostic criteria of bipolar disorder across life spans, cultures and ethnic groups, in order to develop new strategies, new technologies, new tools or new approaches to better screen for or diagnose bipolar disorder.
This Research Topic welcomes evidence-based research studies, including but not limited to the following Topics:
• Diagnostic criteria of bipolar disorder among children and adolescents
• Diagnostic criteria of bipolar disorder among elderly population
• Diagnostic criteria of bipolar disorder among minority groups
• Biomarkers that help diagnose bipolar disorder
• New self-rated scales to screen for bipolar disorder
• New technologies to diagnose bipolar disorder, including facial expression recognition, artificial intelligence, brain imaging, and neuroelectrophysiology
• New strategies of diagnosing bipolar disorder
• New approaches to differentially diagnose bipolar disorder