|
|
| PMID |
|
|
| TITLE |
|
| Can network analysis of self-reported psychopathology shed light on the core phenomenology of bipolar disorders in adolescents and young adults? |
|
| ABSTRACT |
|
| OBJECTIVES |
|
| Network analysis is increasingly applied to psychopathology research. We used it to examine the core phenomenology of emerging bipolar disorder (BD I and II) and 'at risk' presentations (major depression with a family history of BD). |
| METHODOLOGY |
|
| Network analysis is increasingly applied to psychopathology research. We used it to examine the core phenomenology of emerging bipolar disorder (BD I and II) and 'at risk' presentations (major depression with a family history of BD). The study sample comprised a community cohort of 1867 twin and nontwin siblings (57% female; mean age ~26) who had completed self-report ratings of (i) depression-like, hypomanic-like and psychotic-like experiences; (ii) family history of BD; and (iii) were assessed for mood and psychotic syndromes using the Composite International Diagnostic Interview (CIDI). Symptom networks were compared for recent onset BD versus other cohort members and then for individuals at risk of BD (depression with/without a family history of BD). |
| RESULTS |
|
| Network analysis is increasingly applied to psychopathology research. We used it to examine the core phenomenology of emerging bipolar disorder (BD I and II) and 'at risk' presentations (major depression with a family history of BD). The study sample comprised a community cohort of 1867 twin and nontwin siblings (57% female; mean age ~26) who had completed self-report ratings of (i) depression-like, hypomanic-like and psychotic-like experiences; (ii) family history of BD; and (iii) were assessed for mood and psychotic syndromes using the Composite International Diagnostic Interview (CIDI). Symptom networks were compared for recent onset BD versus other cohort members and then for individuals at risk of BD (depression with/without a family history of BD). The four key symptoms that differentiated recent onset BD from other cohort members were: anergia, psychomotor speed, hypersomnia and (less) loss of confidence. The four key symptoms that differentiated individuals at high risk of BD from unipolar depression were anergia, psychomotor speed, impaired concentration and hopelessness. However, the latter network was less stable and more error prone. |
| CONCLUSIONS |
|
| Network analysis is increasingly applied to psychopathology research. We used it to examine the core phenomenology of emerging bipolar disorder (BD I and II) and 'at risk' presentations (major depression with a family history of BD). The study sample comprised a community cohort of 1867 twin and nontwin siblings (57% female; mean age ~26) who had completed self-report ratings of (i) depression-like, hypomanic-like and psychotic-like experiences; (ii) family history of BD; and (iii) were assessed for mood and psychotic syndromes using the Composite International Diagnostic Interview (CIDI). Symptom networks were compared for recent onset BD versus other cohort members and then for individuals at risk of BD (depression with/without a family history of BD). The four key symptoms that differentiated recent onset BD from other cohort members were: anergia, psychomotor speed, hypersomnia and (less) loss of confidence. The four key symptoms that differentiated individuals at high risk of BD from unipolar depression were anergia, psychomotor speed, impaired concentration and hopelessness. However, the latter network was less stable and more error prone. We are encouraged by the overlaps between our findings and those from two recent publications reporting network analyses of BD psychopathology, especially as the studies recruited from different populations and employed different network models. However, the advantages of applying network analysis to youth mental health cohorts (which include many individuals with multimorbidity) must be weighed against the disadvantages including basic issues such as judgements regarding the selection of items for inclusion in network models. |
| © 2021 The Authors. Bipolar Disorders published by John Wiley & Sons Ltd. |
|
| DATE PUBLISHED |
|
|
| HISTORY |
|
| PUBSTATUS |
PUBSTATUSDATE |
| revised |
2021/01/13 |
| received |
2020/08/20 |
| accepted |
2021/02/21 |
| pmc-release |
2022/09/01 |
| pubmed |
2021/02/28 06:00 |
| medline |
2021/11/03 06:00 |
| entrez |
2021/02/27 05:44 |
|
| AUTHORS |
|
| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Scott J |
|
Scott |
Jan |
J |
|
Institute of Neuroscience, Newcastle University, Newcastle, UK. |
| Crouse JJ |
|
Crouse |
Jacob J |
JJ |
|
Brain and Mind Centre, The University of Sydney, Sydney, Australia. |
| Ho N |
|
Ho |
Nicholas |
N |
|
Brain and Mind Centre, The University of Sydney, Sydney, Australia. |
| Carpenter J |
|
Carpenter |
Joanne |
J |
|
Brain and Mind Centre, The University of Sydney, Sydney, Australia. |
| Martin N |
|
Martin |
Nicholas |
N |
|
QIMR Berghofer Institute of Medical Research, Brisbane, Australia. |
| Medland S |
|
Medland |
Sarah |
S |
|
Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia. |
| Parker R |
|
Parker |
Richard |
R |
|
QIMR Berghofer Institute of Medical Research, Brisbane, Australia. |
| Byrne E |
|
Byrne |
Enda |
E |
|
Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia. |
| Couvy-Duchesne B |
|
Couvy-Duchesne |
Baptiste |
B |
|
Paris Brain Institute, INRIA ARAMIS lab, Paris, France. |
| Mitchell B |
|
Mitchell |
Brittany |
B |
|
School of Biomedical Science and Institute of Health and Biomedical Innovation, Faculty of Health, Queensland University of Technology (QUT, Brisbane, Australia. |
| Merikangas K |
|
Merikangas |
Kathleen |
K |
|
Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland, USA. |
| Gillespie NA |
|
Gillespie |
Nathan A |
NA |
|
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA. |
| Hickie I |
|
Hickie |
Ian |
I |
|
Brain and Mind Centre, The University of Sydney, Sydney, Australia. |
|
| INVESTIGATORS |
|
|
| JOURNAL |
|
| VOLUME: 23 |
| ISSUE: 6 |
| TITLE: Bipolar disorders |
| ISOABBREVIATION: Bipolar Disord |
| YEAR: 2021 |
| MONTH: 09 |
| DAY: |
| MEDLINEDATE: |
| SEASON: |
| CITEDMEDIUM: Internet |
| ISSN: 1399-5618 |
| ISSNTYPE: Electronic |
|
| MEDLINE JOURNAL |
|
| MEDLINETA: Bipolar Disord |
| COUNTRY: Denmark |
| ISSNLINKING: 1398-5647 |
| NLMUNIQUEID: 100883596 |
|
| PUBLICATION TYPE |
|
| PUBLICATIONTYPE TEXT |
| Journal Article |
| Research Support, N.I.H., Extramural |
| Research Support, Non-U.S. Gov't |
|
| COMMENTS AND CORRECTIONS |
|
|
| GRANTS |
|
| GRANTID |
AGENCY |
COUNTRY |
| R00 DA023549 |
NIDA NIH HHS |
United States |
|
| GENERAL NOTE |
|
|
| KEYWORDS |
|
| KEYWORD |
| activation |
| bipolar disorder |
| network analysis |
| risk factors |
| sleep-wake cycle |
|
| MESH HEADINGS |
|
| DESCRIPTORNAME |
QUALIFIERNAME |
| Adolescent |
|
| Bipolar Disorder |
diagnosis |
| Depressive Disorder, Major |
diagnosis |
| Female |
diagnosis |
| Humans |
diagnosis |
| Male |
diagnosis |
| Mental Disorders |
diagnosis |
| Psychopathology |
diagnosis |
| Self Report |
diagnosis |
| Young Adult |
diagnosis |
|
| SUPPLEMENTARY MESH |
|
|
| GENE SYMBOLS |
|
|
| CHEMICALS |
|
|
| OTHER ID's |
|
|
|
