scholarly journals Exploratory comparison of auditory verbal hallucinations and other psychotic symptoms among youth with borderline personality disorder or schizophrenia spectrum disorder

2018 ◽  
Vol 13 (5) ◽  
pp. 1252-1262 ◽  
Author(s):  
Marialuisa Cavelti ◽  
Katherine N. Thompson ◽  
Carol Hulbert ◽  
Jennifer Betts ◽  
Henry Jackson ◽  
...  
Keyword(s):  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Borderline Personality ◽  
Spectrum Disorder ◽  
Psychotic Symptoms ◽  
Schizophrenia Spectrum Disorder ◽  
Auditory Verbal Hallucinations ◽  
Schizophrenia Spectrum

scholarly journals Acoustic speech markers for schizophrenia-spectrum disorders: a diagnostic and symptom-recognition tool

2021 ◽  
pp. 1-11
Author(s):  
J. N. de Boer ◽  
A. E. Voppel ◽  
S. G. Brederoo ◽  
H. G. Schnack ◽  
K. P. Truong ◽  
...  
Keyword(s):  
Negative Symptoms ◽  
Structured Interview ◽  
Diagnostic Value ◽  
Spectrum Disorder ◽  
Psychotic Symptoms ◽  
Schizophrenia Spectrum Disorders ◽  
Schizophrenia Spectrum Disorder ◽  
Speech Technology ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

Abstract Background Clinicians routinely use impressions of speech as an element of mental status examination. In schizophrenia-spectrum disorders, descriptions of speech are used to assess the severity of psychotic symptoms. In the current study, we assessed the diagnostic value of acoustic speech parameters in schizophrenia-spectrum disorders, as well as its value in recognizing positive and negative symptoms. Methods Speech was obtained from 142 patients with a schizophrenia-spectrum disorder and 142 matched controls during a semi-structured interview on neutral topics. Patients were categorized as having predominantly positive or negative symptoms using the Positive and Negative Syndrome Scale (PANSS). Acoustic parameters were extracted with OpenSMILE, employing the extended Geneva Acoustic Minimalistic Parameter Set, which includes standardized analyses of pitch (F0), speech quality and pauses. Speech parameters were fed into a random forest algorithm with leave-ten-out cross-validation to assess their value for a schizophrenia-spectrum diagnosis, and PANSS subtype recognition. Results The machine-learning speech classifier attained an accuracy of 86.2% in classifying patients with a schizophrenia-spectrum disorder and controls on speech parameters alone. Patients with predominantly positive v. negative symptoms could be classified with an accuracy of 74.2%. Conclusions Our results show that automatically extracted speech parameters can be used to accurately classify patients with a schizophrenia-spectrum disorder and healthy controls, as well as differentiate between patients with predominantly positive v. negatives symptoms. Thus, the field of speech technology has provided a standardized, powerful tool that has high potential for clinical applications in diagnosis and differentiation, given its ease of comparison and replication across samples.

Psychotic symptoms in borderline personality disorder

2019 ◽  
Vol 32 (1) ◽  
pp. 22-26 ◽  
Author(s):  
Alessandra D’Agostino ◽  
Mario Rossi Monti ◽  
Vladan Starcevic
Keyword(s):  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Borderline Personality ◽  
Psychotic Symptoms

scholarly journals Sensory processing deficiencies in patients with borderline personality disorder who experience auditory verbal hallucinations

2019 ◽  
Vol 281 ◽  
pp. 112545 ◽  
Author(s):  
Maria B.A. Niemantsverdriet ◽  
Christina W. Slotema ◽  
Frederik M. van der Veen ◽  
Mark van der Gaag ◽  
Iris E.C. Sommer ◽  
...  
Keyword(s):  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Sensory Processing ◽  
Borderline Personality ◽  
Auditory Verbal Hallucinations

Prevalence of violent committed acts by inpatients in forensic setting department of psychiatry -in kosova

2011 ◽  
Vol 26 (S2) ◽  
pp. 782-782
Author(s):  
N. Ibishi ◽  
N.R. Musliu
Keyword(s):  
Personality Disorder ◽  
Past History ◽  
Spectrum Disorder ◽  
Schizophrenia Spectrum Disorders ◽  
Schizophrenia Spectrum Disorder ◽  
Alcohol Abusers ◽  
Patient Interviews ◽  
Duration Of Illness ◽  
Schizophrenia Spectrum ◽  
Forensic Setting

The aimIn this study we evaluated the prevalence of committed acts in the group of male inpatients in forensic setting with major mental disorder and past history of aggressive behavior in community.MethodologyIn the study we included 80 male inpatients, 41 of them have meet DSM-IV criteria for Personality Disorder, 28 were psychotic, 11 were Drug/alcohol abusers. Past aggressive history was collected from patient interviews and reviews of clinicalforensic records and collateral source of documents.ResultsThe inpatients were adults with mean age 35,22±10,50 in Schizophrenia spectrum disorders group and the mean duration of the illness was 11,7±9,48, Personality disorders group with mean age 31,35±9,85 and mean duration of illness 10,70±8,34, Drug/alcohol abusers with mean age 19,1±8,6 and mean duration of illness 4,5±2,6.Personality disorder and Drug/alcohol abuser group of inpatients offenders were more prevalent on homicide acts 40%, and threatening 35%, while Schizophrenia spectrum disorder inpatients were more prevalent in domestic violence 49,2%, threatening acts committing with 33,3% and homicide prevalence 7,9%.ConclusionThe studies until now showed that the prevalence of Schizophrenia in the homicide offenders is around 6%. Despite this, the prevalence of Personality disorder or of Drug/alcohol abuse is higher: 10% to 38% respectively. Our results showed the same results with prevalence of Schizophrenia spectrum disorder in homicide with 7,9%, and respectively Personality disorder with homicide prevalence 40%.

A Study of Psychotic Symptoms in Borderline Personality Disorder

2014 ◽  
Vol 202 (5) ◽  
pp. 368-371 ◽  
Author(s):  
Laura J. Pearse ◽  
Claire Dibben ◽  
Hisham Ziauddeen ◽  
Chess Denman ◽  
Peter J. McKenna
Keyword(s):  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Borderline Personality ◽  
Psychotic Symptoms
Sign in / Sign up

Export Citation Format

Share Document