Hallucinations in bipolar disorder: characteristics and comparison to unipolar depression and schizophrenia.

Bipolar Disord

Department of Psychiatry, International Consortium for Bipolar Disorder Research, Harvard Medical School, McLean Division of Massachusetts General Hospital, Belmont, MA 02478-9106, USA.

Published: April 2005

Objective: As there is very little research on the topic, we compared the frequency and the type hallucinations among hospitalized patients diagnosed with bipolar disorder (BPD) versus other major psychiatric illnesses.

Methods: At admission, all patients hospitalized at the Department of Psychiatry at the Freie Universität Berlin (1981-2001) underwent comprehensive assessments using the standardized Association for Methodology and Documentation in Psychiatry (AMDP) system. We used these data to compare risks and types of hallucinations and associated factors by bivariate and multivariate testing in patients diagnosed with BPD, major depression, or schizophrenia.

Results: At admission, the cross-sectional prevalence of current hallucinations among 4972 hospitalized subjects ranked: schizophrenia (61.1%), bipolar mixed (22.9%), bipolar manic (11.2%), bipolar depressed (10.5%), unipolar depressed (5.9%). The most frequent hallucinations across all patients were auditory, followed by somatic and visual hallucinations. There were only minor age or sex differences in risk of hallucinations. Compared with patients diagnosed with schizophrenia, hallucinations among patients with BPD were less severe, more visual and less often auditory. Characteristics of hallucinations were similar among manic and both bipolar- and unipolar-depressed subjects. Among patients with major affective disorders, those with hallucinations were less well-educated, had higher anxiety scores, less insight into the illness, and their hospitalizations averaged 17% longer. Across all diagnoses, hallucinations, particularly olfactory, were significantly associated with delusions. Hallucinations in BPD were most often accompanied by persecutory delusions; delusions of grandeur were least associated with hallucinations.

Conclusions: This study provides detailed descriptive data regarding the frequency (cross-sectional) and characteristics of hallucinations in a large sample of patients with BPD, major depression or schizophrenia. Our results suggest a link of lower education and the presence of hallucinations in major affective disorders. The significance of this finding, as well as the role of anxiety in hallucinating patients, requires further study.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1399-5618.2004.00175.xDOI Listing

Publication Analysis

Top Keywords

hallucinations
14
patients diagnosed
12
patients
9
bipolar disorder
8
depression schizophrenia
8
bpd major
8
major depression
8
hallucinations patients
8
patients bpd
8
characteristics hallucinations
8

Similar Publications

Deep Learning Superresolution for Simultaneous Multislice Parallel Imaging-Accelerated Knee MRI Using Arthroscopy Validation.

Radiology

January 2025

From the Department of Radiology, Division of Musculoskeletal Radiology, NYU Grossman School of Medicine, 660 1st Ave, 3rd Fl, Rm 313, New York, NY 10016 (S.S.W., J.V., R.K., E.H.P., J.F.); Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, University Hospital Tübingen, Tübingen, Germany (S.S.W.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V.); Department of Radiology, Hospital do Coraçao, São Paulo, Brazil (T.C.R.); Academic Surgical Unit, South West London Elective Orthopaedic Centre (SWLEOC), London, United Kingdom (D.D.); Department of Radiology, Balgrist University Hospital, Zurich, Switzerland (B.F.); Department of Radiology, Jeonbuk National University Hospital, Jeonju, Republic of Korea (E.H.P.); Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea (E.H.P.); Medscanlagos Radiology, Cabo Frio, Brazil (A.S.); Centre for Data Analytics, Bond University, Gold Coast, Australia (S.E.S.); Siemens Healthineers AG, Erlangen, Germany (I.B.); and Siemens Medical Solutions USA, Malvern, Pa (G.K.).

Background Deep learning (DL) methods can improve accelerated MRI but require validation against an independent reference standard to ensure robustness and accuracy. Purpose To validate the diagnostic performance of twofold-simultaneous-multislice (SMSx2) twofold-parallel-imaging (PIx2)-accelerated DL superresolution MRI in the knee against conventional SMSx2-PIx2-accelerated MRI using arthroscopy as the reference standard. Materials and Methods Adults with painful knee conditions were prospectively enrolled from December 2021 to October 2022.

View Article and Find Full Text PDF

Background: Systemic lupus erythematosus (SLE) is a complex autoimmune disease with multisystemic involvement and unclear etiology. Although SLE could be linked to multiple neuropsychiatric manifestations, the co-occurrence of anorexia nervosa was only described through a few case reports that mainly affected children and adolescents.

Case Presentation: a 40-year-old Filipina woman presented to hospital with a 3-day history of agitation, anorexia and auditory hallucinations.

View Article and Find Full Text PDF

Scalable information extraction from free text electronic health records using large language models.

BMC Med Res Methodol

January 2025

Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont Street, Suite 3030-R, Boston, MA, 02120, USA.

Background: A vast amount of potentially useful information such as description of patient symptoms, family, and social history is recorded as free-text notes in electronic health records (EHRs) but is difficult to reliably extract at scale, limiting their utility in research. This study aims to assess whether an "out of the box" implementation of open-source large language models (LLMs) without any fine-tuning can accurately extract social determinants of health (SDoH) data from free-text clinical notes.

Methods: We conducted a cross-sectional study using EHR data from the Mass General Brigham (MGB) system, analyzing free-text notes for SDoH information.

View Article and Find Full Text PDF

Background And Hypothesis: We have reported previously a reduction in superior temporal gyrus (STG) activation and in auditory verbal hallucinations (AHs) after real-time fMRI neurofeedback (NFB) in schizophrenia patients with AHs.

Study Design: With this randomized, participant-blinded, sham-controlled trial, we expanded our previous results. Specifically, we examined neurofeedback effects from the STG, an area associated with auditory hallucinations.

View Article and Find Full Text PDF

Evidence suggests that attenuated mismatch negative (MMN) waves have a close link to auditory verbal hallucinations (AVH) and their clinical outcomes, especially impaired neural oscillations such as θ, β representing attentional control. In current study, thirty patients with schizophrenia and AVH (SZ) and twenty-nine healthy controls (HC) underwent multi-feature MMN paradigm measurements including frequency and duration deviant stimuli (fMMN and dMMN). Clinical symptoms and MMN paradigm were followed up among SZ group after 8-week treatment.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!