Evidence map›Paper›PMID 32951966›Full record

ArticleSchizophrenia research2021

Lower speech connectedness linked to incidence of psychosis in people at clinical high risk.

Tom John Spencer, Bethany Thompson, Dominic Oliver, Kelly Diederen, Arsime Demjaha, Sara Weinstein, Sarah E Morgan, Fern Day, Lucia Valmaggia, Grazia Rutigliano and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Schizophrenia research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 67 citations in OpenAlex.

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  12. Trajectories through semantic spaces in schizophrenia and the relationship to ripple bursts.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  18. Application of Graphs in a One Health Framework.Advances in experimental medicine and biology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 4 countries.

Tom John SpencerDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK; OASIS service, South London and Maudsley NHS Foundation Trust, London, UK. Electronic address: tom.spencer@kcl.ac.uk.
Bethany ThompsonDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK.
Dominic OliverDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK.
Kelly DiederenDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK.
Arsime DemjahaDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK.
Sara WeinsteinBoeing Vancouver Labs, Vancouver, British Columbia, Canada.
Sarah E MorganDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK; The Alan Turing Institute, London, NW1 2DB, UK.
Fern DayDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK.
Lucia ValmaggiaDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK.
Grazia RutiglianoOASIS service, South London and Maudsley NHS Foundation Trust, London, UK; Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Andrea De MicheliOASIS service, South London and Maudsley NHS Foundation Trust, London, UK; Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Natália Bezerra MotaBrain Institute, Federal University of Rio Grande do Norte (UFRN), Natal, Brazil; Physics Department, Federal University of Pernambuco (UFPE), Recife, Brazil.
Paolo Fusar-PoliOASIS service, South London and Maudsley NHS Foundation Trust, London, UK; Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Philip McGuireDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK.
King's College London · GBCritical Systems Labs · CATuring Institute · GBUniversidade Federal de Pernambuco · BR

Funding

Medical Research Council
6 · The paper itself

Abstract

backgroundFormal thought disorder is a cardinal feature of psychotic disorders, and is also evident in subtle forms before psychosis onset in individuals at clinical high-risk for psychosis (CHR-P). Assessing speech output or assessing expressive language with speech as the medium at this stage may be particularly useful in predicting later transition to psychosis.

methodSpeech samples were acquired through administration of the Thought and Language Index (TLI) in 24 CHR-P participants, 16 people with first-episode psychosis (FEP) and 13 healthy controls. The CHR-P individuals were then followed clinically for a mean of 7 years (s.d. = 1.5) to determine if they transitioned to psychosis. Non-semantic speech graph analysis was used to assess the connectedness of transcribed speech in all groups.

resultsSpeech was significantly more disconnected in the FEP group than in both healthy controls (p < .01) and the CHR-P group (p < .05). Results remained significant when IQ was included as a covariate. Significant correlations were found between speech connectedness measures and scores on the TLI, a manual assessment of formal thought disorder. In the CHR-P group, lower scores on two measures of speech connectedness were associated with subsequent transition to psychosis (8 transitions, 16 non-transitions; p < .05).

conclusionThese findings support the utility and validity of speech graph analysis methods in characterizing speech connectedness in the early phases of psychosis. This approach has the potential to be developed into an automated, objective and time-efficient way of stratifying individuals at CHR-P according to level of psychosis risk.

Indexed as

Psychotic DisordersSpeechHumansIncidenceLanguageGraph analysisPsychosisSchizophreniaSpeechThought disorderUltra high-risk (UHR)

Identifiers

PMID32951966
OpenAlexW3087091900

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.