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Bipolar disorder (BD), previously known as manic depression, is a mental disorder characterized by periods of depression and abnormally elevated mood, lasting days to weeks, and in some cases months. If the elevated mood is severe or associated with psychosis, it is called mania; if it does not significantly affect functioning, it is called hypomania.…
The analysis highlights History, Community, Culture and Applications as prominent areas in the source structure around Bipolar disorder.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
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The extracted context around Bipolar disorder shows recurring relationship patterns in the source. For example, Bipolar disorder → Adams, An Unquiet Mind, Benjamin Franklin, Carrie Fisher, Catherine, Catherine Zeta-Jones, Demi Lovato, Great, Grigory Potemkin, II, Jane Pauley, John Adams, Johns Hopkins University School, Kanye West, Kay Redfield Jamison, Mariah Carey, Medicine, Netherlands, Russell Brand, Russian Another extracted example is Bipolar disorder → American Psychiatric Association's, APA, Assessment, Bipolar, Caregiver-scored, Diagnostic, Diseases, DSM, DSM-5, DSM-IV-TR, Edition, Fifth Edition, ICD, ICD-10, ICD-11, International Statistical Classification, Mental Disorders, Related Health Problems, Statistical Manual, The DSM-5. Use these groups to spot repeated connection types before inspecting the individual relationships.
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bipolar disorder mood people manic episodes mania depressive symptoms depression treatment risk may bd associated lithium also disorders higher hypomanic
TTTA extracted 305 structured relationships around Bipolar disorder. Examples in this analysis include Bipolar disorder → Causes → Environmental and genetic and Bipolar disorder → Complications → Suicide, self harm, social, legal and financial problems, higher risk of diabetes mellitus, heart disease and STIs, cognitive impairment. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Bipolar disorder | Causes | Environmental and genetic | 1.00 | infobox |
| Bipolar disorder | Complications | Suicide, self harm, social, legal and financial problems, higher risk of diabetes mellitus, heart disease and STIs, cognitive impairment | 1.00 | infobox |
| Bipolar disorder | Deaths | 11.7 times higher risk of death by suicide | 1.00 | infobox |
| Bipolar disorder | Differential diagnosis | Attention deficit hyperactivity disorder, autism, personality disorders, schizophrenia, substance use disorder | 1.00 | infobox |
| Bipolar disorder | Frequency | 1% per 6–12 months; 1–3% lifetime | 1.00 | infobox |
| Bipolar disorder | Medication | Lithium, antipsychotics, anticonvulsants | 1.00 | infobox |
| Bipolar disorder | Other names | Bipolar affective disorder (BPAD), bipolar illness, manic depression, manic depressive disorder, manic–depressive illness (historical), manic–depressive psychosis, circular insa… | 1.00 | infobox |
| Bipolar disorder | Risk factors | Family history, child abuse, long-term stress | 1.00 | infobox |
| Bipolar disorder | Specialty | Psychiatry, clinical psychology | 1.00 | infobox |
| Bipolar disorder | Symptoms | Periods of depression and elevated mood | 1.00 | infobox |
| Bipolar disorder | Treatment | Psychotherapy, medications | 1.00 | infobox |
| Bipolar disorder | Types | Bipolar I disorder, bipolar II disorder, bipolar disorder not otherwise specified, others | 1.00 | infobox |
| Bipolar disorder | Usual onset | 24 or 46 years old | 1.00 | infobox |
| Bipolar disorder | is a | leading cause of disability and lost productivity worldwide | 0.90 | text |
The concept neighborhoods around Bipolar disorder bring nearby vocabulary together. In this analysis, examples include Disorder, People and Depression. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Bipolar disorder, one of the stronger structural bridges in this analysis connects Bipolar disorder with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Bipolar disorder to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community, Culture & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Bipolar disorder · EN edition · Analysis: TopicsToTalkAbout