Neurobiology of Mental Illness Psychosis Proneness

2013 ◽  
pp. 338-345
Author(s):  
Raquel E. Gur
Keyword(s):  
Mental Illness ◽  
Help Seeking ◽  
Risk Groups ◽  
Psychotic Symptoms ◽  
Schizophrenia Spectrum Disorders ◽  
Prodromal Phase ◽  
Psychosis Proneness ◽  
Schizophrenia Spectrum ◽  
Clinical Risk Groups ◽  
Brain Behavior

Attenuated psychotic symptoms characterize the prodromal phase of schizophrenia spectrum disorders. Becausemany help-seeking individuals who manifest such symptoms do not transition to psychosis, the incorporation of brain behavior measures that canidentify psychosis proneness may help understand potentially contributing neurobiological mechanisms. Neurobehavioral studiesin clinical risk groups show diffuse deficits across multiple domains.The pattern is similar, but less severe, than that observed in schizophrenia. Neuroimaging studies of brain structure, connectivity and activation, also indicate abnormalities in a pattern similar to that evident in schizophrenia. Limited longitudinal studies suggest that transition to psychosis is associated with greater aberrations of neurobehavioral and neuroimaging measures. These findings pave the way to developing models that can predict progression and offer avenues for interventions.

Effective e-health design for those with, and without, mental health disorders: shallow navigation, concentrated contents, modest number of links, one screen area for links. (Preprint)

2018 ◽  
Author(s):  
Armando Rotondi ◽  
Jonathan Grady ◽  
Barbara H. Hanusa ◽  
Michael R. Spring ◽  
Kaleab Z. Abebe ◽  
...  
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Success Rate ◽  
Fractional Factorial ◽  
Mental Illnesses ◽  
Schizophrenia Spectrum Disorders ◽  
Design Elements ◽  
Website Usability ◽  
Schizophrenia Spectrum ◽  
Health Applications

BACKGROUND E-health applications are an avenue to improve service responsiveness, convenience, and appeal, and tailor treatments to improve relevance, engagement, and use. It is critical to user engagement that the designs of e-health applications are intuitive to navigate. Limited research exists on designs that work for those with a severe mental illness, many of whom infrequently seek treatment, and tend to discontinuation medications and psychosocial treatments. OBJECTIVE The purpose of this study was to evaluate the influence of 12 design elements (e.g., website depth, reading level, use of navigational lists) on the usability of e-health application websites for those with, and without, mental health disorders (including severe mental illness). METHODS A 212-4 fractional factorial experimental design was used to specify the designs of 256 e-health websites, which systematically varied the 12 design elements. The final destination contents of all websites were identical, only the navigational pages varied. Three subgroups of participants comprising 226 individuals, were used to test these websites (those with schizophrenia-spectrum disorders, other mental illnesses, and no mental illness). Unique to this study was that the 12 design elements were manipulated systematically to allow assessment of combinations of design elements rather than only one element at a time. RESULTS The best and worst designs were identified for each of the three subgroups, and the sample overall. The depth of a website’s navigation, that is, the number of screens/pages users needed to navigate to find desired content, had the strongest influence on usability (ability to find information). The worst performing design for those with schizophrenia-spectrum disorders had an 8.6% success rate (ability to find information), the best had a 53.2% success rate. The navigational design made a 45% difference in usability. For the subgroup with other mental illnesses the design made a 52% difference, and for those with no mental illness a 50% difference in success rate. The websites with the highest usability all had several key similarities, as did the websites with the poorest usability. A unique finding is that the influences on usability of some design elements are variable. For these design elements, whether they had a positive or negative effect, and the size of its effect, could be influenced by the rest of the design environment, that is, the other elements in the design. This was not the case for navigational depth, a shallower hierarchy is better than a deeper hierarchy. CONCLUSIONS It is possible to identify evidence-based strategies for designing e-health applications that result in a high level of usability. Even for those with schizophrenia, or other severe mental illnesses, there are designs that are highly effective. The best designs have key similarities, but can also vary in some respects. Key words: schizophrenia, severe mental illness, e-health, design, website, usability, website design, website usability, fractional factorial design.

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.

scholarly journals Schizophrenia-spectrum psychopathology in obsessive–compulsive disorder: an empirical study

2019 ◽  
Vol 270 (8) ◽  
pp. 993-1002 ◽  
Author(s):  
Andreas Rosén Rasmussen ◽  
Julie Nordgaard ◽  
Josef Parnas
Keyword(s):  
Diagnostic Criteria ◽  
Obsessive Compulsive Disorder ◽  
Psychotic Symptoms ◽  
Main Diagnosis ◽  
Schizophrenia Spectrum Disorders ◽  
Obsessive Compulsive ◽  
Main Research ◽  
Compulsive Disorder ◽  
Diagnostic Potential ◽  
Schizophrenia Spectrum

Abstract The differential diagnosis of obsessive–compulsive disorder (OCD) and schizophrenia-spectrum disorders can be difficult. In the current diagnostic criteria, basic concepts such as obsession and delusion overlap. This study examined lifetime schizophrenia-spectrum psychopathology, including subtle schizotypal symptomatology and subjective anomalies such as self-disorders, in a sample diagnosed with OCD in a specialized setting. The study also examined the differential diagnostic potential of the classic psychopathological notions of true obsession (‘with resistance’) and pseudo-obsession. The study involved 42 outpatients diagnosed with OCD at two clinics specialized in the treatment of OCD. The patients underwent semi-structured, narrative interviews assessing a comprehensive battery of psychopathological instruments. The final lifetime research-diagnosis was based on a consensus between a senior clinical psychiatrist and an experienced research clinician. The study found that 29% of the patients fulfilled criteria of schizophrenia or another non-affective psychosis as main, lifetime DSM-5 research-diagnosis. Another 33% received a research-diagnosis of schizotypal personality disorder, 10% a research-diagnosis of major depression and 29% a main research-diagnosis of OCD. Self-disorders aggregated in the schizophrenia-spectrum groups. True obsessions had a specificity of 93% and a sensitivity of 58% for a main diagnosis of OCD. In conclusion, a high proportion of clinically diagnosed OCD patients fulfilled diagnostic criteria of a schizophrenia-spectrum disorder. The conspicuous obsessive–compulsive symptomatology may have resulted in a disregard of psychotic symptoms and other psychopathology. Furthermore, the differentiation of obsessions from related psychopathological phenomena is insufficient and a conceptual and empirical effort in this domain is required in the future.

Awareness of illness moderates self-assessment of psychotic symptoms

2021 ◽  
pp. 000486742110574
Author(s):  
Luis Martinez Agulleiro ◽  
Renato de Filippis ◽  
Stella Rosson ◽  
Bhagyashree Patil ◽  
Lara Prizgint ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Confidence Interval ◽  
Rating Scale ◽  
Psychotic Symptoms ◽  
Schizophrenia Spectrum Disorders ◽  
Brief Psychiatric Rating Scale ◽  
Schizophrenia Spectrum ◽  
Psychiatric Rating ◽  
Spectrum Disorders ◽  
Psychiatric Rating Scale

Objective: Self-reports or patient-reported outcome measures are seldom used in psychosis due to concerns about the ability of patients to accurately report their symptomatology, particularly in cases of low awareness of illness. The aim of this study was to assess the effect of insight on the accuracy of self-reported psychotic symptoms using a computerized adaptive testing tool (CAT-Psychosis). Methods: A secondary analysis of data drawn from the CAT-Psychosis development and validation study was performed. The Brief Psychiatric Rating Scale and the Scale of Unawareness of Mental Disorders were administered by clinicians. Patients completed the self-reported version of the CAT-Psychosis. Patients were median-split regarding their insight level to compare the correlation between the two psychosis severity measures. A subgroup sensitivity analysis was performed only on patients with schizophrenia spectrum disorders. Results: A total of 159 patients with a psychotic disorder who completed both CAT-Psychosis and Scale of Unawareness of Mental Disorders were included. For the whole sample, CAT-Psychosis scores showed convergent validity with Brief Psychiatric Rating Scale ratings ( r = 0.517, 95% confidence interval = [0.392, 0.622], p < 0.001). Insight was found to moderate this correlation (β = –0.511, p = 0.005), yet agreement between both measures remained statistically significant for both high ( r = 0.621, 95% confidence interval = [0.476, 0.733], p < 0.001) and low insight patients ( r = 0.408, 95% confidence interval = [0.187, 0.589], p < 0.001), while psychosis severity was comparable between these groups (for Brief Psychiatric Rating Scale: U = 3057, z = –0.129, p = 0.897; disorganization: U = 2986.5, z = –0.274, p = 0.784 and for CAT-Psychosis: U = 2800.5, z = –1.022, p = 0.307). Subgroup of patients with schizophrenia spectrum disorders showed very similar results. Conclusions: Insight moderates the correlation between self-reported and clinician-rated severity of psychosis, yet CAT-Psychosis remains valid in patients with both high and low awareness of illness.

scholarly journals T194. SUBJECTIVE ANOMALIES OF IMAGINATION AGGREGATE IN SCHIZOPHRENIA-SPECTRUM DISORDERS AND ARE ASSOCIATED WITH DISORDERS OF BASIC SELF

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S305-S305
Author(s):  
Andreas Rosén Rasmussen ◽  
Josef Parnas
Keyword(s):  
Mental Illness ◽  
Cross Sectional Study ◽  
Multivariate Linear Regression Analysis ◽  
Healthy Controls ◽  
Schizophrenia Spectrum Disorders ◽  
Sectional Study ◽  
Cross Sectional ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders ◽  
Schizotypal Disorder

Abstract Background Imagination is the formation of ideas or images of something known not to be present to the senses. Clinical psychopathology has few notions addressing this domain apart from obsession and rumination. Some classic psychopathological notions such as Jaspers’ concept of pseudohallucination or the pseudo-obsession are relevant to this area. In a recent research project, informed by contemporary philosophy of mind and phenomenology, we have developed novel concepts targeting subjective disturbances of imagination and fantasy life with a focus on the schizophrenia-spectrum. Patients describe a spatialization of images, i.e., stable imagery with an articulated spatial structure being liable to inspection ‘from afar in the mind’ and often undergoing an autonomous development independently of the will of the patient (‘like watching a movie in the head’). Other notions address tacit, non-psychotic erosions of the demarcation of fantasy life from perception and memory. A broad range of ideations (such as ‘daydreams’, ‘fears’, anticipations, intrusions, paranoid or suicidal ideation) may involve such structural disturbances of experience. Here, we present data from the first, cross-sectional study investigating the distribution of anomalies of imagination in different diagnostic groups and healthy controls as well as their association with positive symptoms, negative symptoms and disorders of basic selfhood. Methods The sample (N=81) included in- and outpatients with schizophrenia or another non-affective psychosis (N=32), outpatients with schizotypal disorder (N=15) or other mental illness (N=16) and healthy controls (N=18). The sample was 70% female with mean age 29.9 (SD 6.8; range 18–42) years. Anomalies of imagination were assessed with the Examination of anomalous fantasy and imagination (EAFI), which is an instrument recently developed in our group for a semi-structured interview exploring these experiences. The EAFI has shown very good reliability with average Kappa of 0.84. Disorders of basic self were assessed with the Examination of anomalous self experience (EASE) and positive, negative and general symptoms with the Positive and Negative Syndrome Scale (PANSS). Results Anomalies of imagination aggregated significantly (p &lt; 0.000, Kruskall-Wallis test) in the schizophrenia-spectrum disorders compared to other mental illness with no significant difference between schizophrenia and schizotypal disorder. The group of healthy controls very rarely reported these anomalies and scored significantly lower (p &lt; 0.000) than all diagnostic groups. In multivariate linear regression analysis (R2 = 0.66), EAFI score was significantly associated with EASE score (β = 0.62, p &lt; 0.000), PANSS positive (β = 0.34, p = 0.01) and PANSS negative (β = 0.29, p = 0.02), but not PANSS general score (β = -0.29, p = 0.07). More than 79% of the schizophrenia-spectrum patients retrospectively reported the onset of these experiences to adolescence or earlier. Discussion The results of this cross-sectional study support that the subjective anomalies of imagination, targeted with the EAFI, are associated with the schizophrenia-spectrum. The association with disorders of basic self, which has been shown to have trait-like characteristics and to predict transition to schizophrenia-spectrum disorders, may reflect that the anomalies of imagination share a common experiential core-structure with self disorders. We suggest that the anomalies of imagination belong to an early onset level of psychopathology in the schizophrenia-spectrum and may have a relevance for differential diagnosis and early detection.

scholarly journals A review of autobiographical memory studies on patients with schizophrenia spectrum disorders

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yujia Zhang ◽  
Sara K. Kuhn ◽  
Laura Jobson ◽  
Shamsul Haque
Keyword(s):  
Autobiographical Memory ◽  
Psychotic Symptoms ◽  
Control Group ◽  
Schizophrenia Spectrum Disorders ◽  
Autobiographical Memories ◽  
Memory Specificity ◽  
Autobiographical Memory Specificity ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders ◽  
The Relationship

Abstract Background Patients suffering from schizophrenia spectrum disorders demonstrate various cognitive deficiencies, the most pertinent one being impairment in autobiographical memory. This paper reviews quantitative research investigating deficits in the content, and characteristics, of autobiographical memories in individuals with schizophrenia. It also examines if the method used to activate autobiographical memories influenced the results and which theoretical accounts were proposed to explain the defective recall of autobiographical memories in patients with schizophrenia. Methods PsycINFO, Web of Science, and PubMed databases were searched for articles published between January 1998 and December 2018. Fifty-seven studies met the inclusion criteria. All studies implemented the generative retrieval strategy by inducing memories through cue words or pictures, the life-stage method, or open-ended retrieval method. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement guidelines were followed for this review. Results Most studies reported that patients with schizophrenia retrieve less specific autobiographical memories when compared to a healthy control group, while only three studies indicated that both groups performed similarly on memory specificity. Patients with schizophrenia also exhibited earlier reminiscence bumps than those for healthy controls. The relationship between comorbid depression and autobiographical memory specificity appeared to be independent because patients’ memory specificity improved through intervention, but their level of depression remained unchanged. The U-shaped retrieval pattern for memory specificity was not consistent. Both the connection between the history of attempted suicide and autobiographical memory specificity, and the relationship between psychotic symptoms and autobiographical memory specificity, remain inconclusive. Patients’ memory specificity and coherence improved through cognitive training. Conclusions The overgeneral recall of autobiographical memory by patients with schizophrenia could be attributed to working memory, the disturbing concept of self, and the cuing method implemented. The earlier reminiscence bump for patients with schizophrenia may be explained by the premature closure of the identity formation process due to the emergence of psychotic symptoms during early adulthood. Protocol developed for this review was registered in PROSPERO (registration no: CRD42017062643).

Cognitive and Prepulse Inhibition Deficits in Psychometrically High Schizotypal Subjects in the General Population: Relevance to Schizophrenia Research

2012 ◽  
Vol 18 (4) ◽  
pp. 643-656 ◽  
Author(s):  
Stella G. Giakoumaki
Keyword(s):  
Cognitive Function ◽  
General Population ◽  
Prepulse Inhibition ◽  
Future Research ◽  
Attention And Memory ◽  
Schizophrenia Spectrum Disorders ◽  
Schizotypal Personality ◽  
Psychosis Proneness ◽  
Schizophrenia Spectrum ◽  
The Relationship

AbstractSchizophrenia and schizotypal personality disorder share common clinical profiles, neurobiological and genetic substrates along with Prepulse Inhibition and cognitive deficits; among those, executive, attention, and memory dysfunctions are more consistent. Schizotypy is considered to be a non-specific “psychosis-proneness,” and understanding the relationship between schizotypal traits and cognitive function in the general population is a promising approach for endophenotypic research in schizophrenia spectrum disorders. In this review, findings for executive function, attention, memory, and Prepulse Inhibition impairments in psychometrically defined schizotypal subjects have been summarized and compared to schizophrenia patients and their unaffected first-degree relatives. Cognitive flexibility, sustained attention, working memory, and Prepulse Inhibition impairments were consistently reported in high schizotypal subjects in accordance to schizophrenia patients. Genetic studies assessing the effects of various candidate gene polymorphisms in schizotypal traits and cognitive function are promising, further supporting a polygenic mode of inheritance. The implications of the findings, methodological issues, and suggestions for future research are discussed. (JINS, 2012, 18, 1–14)

Sensorimotor Gating and Attitudes Related to Schizotypal Proneness

2001 ◽  
Vol 88 (3_suppl) ◽  
pp. 1035-1045 ◽  
Author(s):  
Almut I. Weike ◽  
Alfons O. Hamm ◽  
Dieter Vaitl
Keyword(s):  
Prepulse Inhibition ◽  
Sensorimotor Gating ◽  
Schizophrenia Spectrum Disorders ◽  
Eyeblink Response ◽  
Startle Eyeblink ◽  
Psychosis Proneness ◽  
Gating Mechanism ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders ◽  
Information Processing Deficits

The magnitude of the startle eyeblink response is diminished when the startle-eliciting probe is shortly preceded by another stimulus. This so called prepulse inhibition is interpreted as an automatic sensorimotor gating mechanism. There is substantial support for prepulse inhibition deficits in subjects suffering from schizophrenia spectrum disorders and in psychosis-prone normals as well. Thus, prepulse inhibition deficits may reflect vulnerability on the hypothesized psychopathological continuum from “normal” to “schizophrenia.” The present experiment investigated the amount of prepulse inhibition in a sample selected for “belief in extraordinary phenomena,” an attitude related to measures of psychosis-proneness. Believers and skeptics were tested in an acoustic prepulse-inhibition paradigm. As expected, presentation of prepulses clearly diminished magnitude of startle response, with greatest inhibition effects gained by lead intervals of 60 and 120 msec. Patterns of response were identical for believers and skeptics, i.e., attitude towards extraordinary phenomena did not seem to be related to functional information-processing deficits as has been observed in psychosis-prone normals.

Long-term trajectories of cognitive deficits in schizophrenia: A critical overview

2015 ◽  
Vol 30 (8) ◽  
pp. 1002-1010 ◽  
Author(s):  
A.B. Shmukler ◽  
I.Y. Gurovich ◽  
M. Agius ◽  
Y. Zaytseva
Keyword(s):  
Cognitive Deficits ◽  
Schizophrenia Spectrum Disorders ◽  
Cognitive Changes ◽  
Prodromal Phase ◽  
Cognitive Domains ◽  
Schizophrenia Spectrum ◽  
Cognitive Disturbances ◽  
Spectrum Disorders ◽  
Potential Factors

AbstractBackgroundCognitive disturbances are widely pronounced in schizophrenia and schizophrenia spectrum disorders. Whilst cognitive deficits are well established in the prodromal phase and are known to deteriorate at the onset of schizophrenia, there is a certain discrepancy of findings regarding the cognitive alterations over the course of the illness.MethodsWe bring together the results of the longitudinal studies identified through PubMed which have covered more than 3 years follow-up and to reflect on the potential factors, such as sample characteristics and stage of the illness which may contribute to the various trajectories of cognitive changes.ResultsA summary of recent findings comprising the changes of the cognitive functioning in schizophrenia patients along the longitudinal course of the illness is provided. The potential approaches for addressing cognition in the course of schizophrenia are discussed.ConclusionsGiven the existing controversies on the course of cognitive changes in schizophrenia, differentiated approaches specifically focusing on the peculiarities of the clinical features and changes in specific cognitive domains could shed light on the trajectories of cognitive deficits in schizophrenia and spectrum disorders.

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