Evidence map›Paper›PMID 39165762›Full record

ArticleFrontiers in psychology2024

Crisis of objectivity: using a personalized network model to understand maladaptive sensemaking in a patient with psychotic, affective, and obsessive-compulsive symptoms.

Aleš Oblak, Matic Kuclar, Katja Horvat Golob, Alina Holnthaner, Urška Battelino, Borut Škodlar, Jurij Bon

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Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Aleš OblakLaboratory for Cognitive Neuroscience and Psychopathology, University Psychiatric Clinic Ljubljana, Ljubljana, Slovenia.
Matic KuclarDepartment of Psychiatry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Katja Horvat GolobLaboratory for Cognitive Neuroscience and Psychopathology, University Psychiatric Clinic Ljubljana, Ljubljana, Slovenia.
Alina HolnthanerLaboratory for Cognitive Neuroscience and Psychopathology, University Psychiatric Clinic Ljubljana, Ljubljana, Slovenia.
Urška BattelinoFaculty of Slovenian and International Studies, New University, Ljubljana, Slovenia.
Borut ŠkodlarLaboratory for Cognitive Neuroscience and Psychopathology, University Psychiatric Clinic Ljubljana, Ljubljana, Slovenia.
Jurij BonLaboratory for Cognitive Neuroscience and Psychopathology, University Psychiatric Clinic Ljubljana, Ljubljana, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Psychiatric comorbidities have proven a consistent challenge. Recent approaches emphasize the need to move away from categorical descriptions of symptom clusters towards a dimensional view of mental disorders. From the perspective of phenomenological psychopathology, this shift is not enough, as a more detailed understanding of patients' lived experience is necessary as well. One phenomenology-informed approach suggests that we can better understand the nature of psychiatric disorders through personalized network models, a comprehensive description of a person's lifeworld in the form of salient nodes and the relationships between them. We present a detailed case study of a patient with multiple comorbidities, maladaptive coping mechanisms, and adverse childhood experiences. Methods: The case was followed for a period of two years, during which we collected multiple streams of data, ranging from phenomenological interviews, neuropsychological assessments, language analysis, and semi-structured interviews (Examination of Anomalous Self Experience and Examination of Anomalous World Experience). We analytically constructed a personalized network model of his lifeworld. Results: We identified an experiential category "the crisis of objectivity" as the core psychopathological theme of his lifeworld. It refers to his persistent mistrust towards any information that he obtains that he appraises as originating in his subjectivity. We can developmentally trace the crisis of objectivity to his adverse childhood experience, as well as him experiencing a psychotic episode in earnest. He developed various maladaptive coping mechanisms in order to compensate for his psychotic symptoms. Interestingly, we found correspondence between his subjective reports and other sources of data. Discussion: Hernan exhibits difficulties in multiple Research Domain Criteria constructs. While we can say that social sensorimotor, positive valence, and negative valence systems dysfunctions are likely associated with primary deficit (originating in his adverse childhood experience), his cognitive symptoms may be tied to his maladaptive coping mechanisms (although, they might be related to his primary disorder as well).

Indexed as

enactive psychiatryobsessive compulsive disorderpersonalized network modelpsychiatric comorbidityqualitative phenomenologyRDoCschizoaffective disorder

Identifiers

PMID39165762
PMCPMC11334081

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