Evidence map›Paper›PMID 39367045›Full record

ArticleScientific reports2024

Content-based clustering of hallucinations across sensory modalities in a large online survey.

Theresa M Marschall, Sanne G Brederoo, Sanne Koops, Branislava Ćurčić-Blake, Iris E C Sommer

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Theresa M MarschallDepartment of Psychiatry, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 2, 9713 AW, Groningen, The Netherlands. T.M.Marschall@umcg.nl.
Sanne G BrederooDepartment of Psychiatry, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 2, 9713 AW, Groningen, The Netherlands.
Sanne KoopsDepartment of Psychiatry, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 2, 9713 AW, Groningen, The Netherlands.
Branislava Ćurčić-BlakeDepartment of Psychiatry, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 2, 9713 AW, Groningen, The Netherlands.
Iris E C SommerDepartment of Psychiatry, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 2, 9713 AW, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hallucinations can have rather heterogeneous aetiology and presentation. This inspired the concept of different subtypes based on symptom profiles, especially in the field of auditory hallucinations. As many people experience hallucinations in more than one sensory modality, it seems important to investigate potential hallucination subtypes across different sensory modalities. We assessed the content of hallucinations as part of a large survey among the general Dutch population (n = 10,448) using the Questionnaire for Psychotic Experiences. Based on their descriptions, thematic categories were created in a data-driven cluster analysis. 2594 participants who experienced hallucinations over the past week that contained at least 2 different thematic categories were selected. Clustering of their hallucination content was performed with the HDBSCAN method. We identified 4 clusters, i.e., subtypes, which can be typified as 1. hallucinations of foul odors, 2. complex visual scenes, 3. a vast variety of rather common hallucinations possibly related to heightened alertness, and 4. possibly bereavement hallucinations. The bereavement subtype showed an increase in emotional loneliness and the presence of delusions. Our findings suggest that the content of hallucinations can be informative, especially when investigated across sensory modalities. Such subtypes may help to better understand their underlying mechanisms.

Indexed as

HallucinationsAdolescentAdultAgedCluster AnalysisDelusionsFemaleHumansMaleMiddle AgedNetherlandsSurveys and QuestionnairesYoung AdultClusteringHallucinationsHierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN)Multimodal hallucinationsMultisensory hallucinationsQuestionnaire for Psychotic Experiences (QPE)

Identifiers

PMID39367045
PMCPMC11452635

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.