scholarly journals Pareidolia-proneness, reality discrimination errors, and visual hallucination-like experiences in a non-clinical sample

2018 ◽  
Author(s):  
David Smailes ◽  
Emma Burdis ◽  
Constantina Gregoriou ◽  
Bryony Fenton ◽  
Rob Dudley
Keyword(s):  
Discrimination Task ◽  
Visual Hallucination ◽  
Clinical Sample ◽  
Self Report ◽  
False Alarms ◽  
Top Down ◽  
Number Of False Alarms ◽  
Visual Reality ◽  
The Face ◽  
Reality Discrimination

Introduction: It has been proposed that hallucinations occur because of problems with reality discrimination (when internal, self-generated cognitions are misattributed to an external, non-self source) and because of elevated levels of top-down processing. In this study, we examined whether visual reality discrimination abilities and elevated top-down processing (assessed via face pareidolia-proneness) were associated with how often non-clinical participants report visual hallucination-like experiences. Methods: Participants (N = 82, mean age = 23.12 years) completed a visual reality discrimination task and a face pareidolia task, as well as self-report measures of schizotypy and of the frequency of visual hallucination-like experiences. Results: Regression analysis demonstrated that the number of false alarms made on the visual reality discrimination task and the number of hits made on the face pareidolia task were independent predictors of the frequency of visual hallucination-like experiences. Correlations between performance on the task and levels of schizotypy were not statistically significant.Conclusions: These findings suggest that weaker visual reality discrimination abilities and elevated levels of top-down processing are associated with visual hallucination-proneness and are discussed in terms of the idea that clinical visual hallucinations and non-clinical visual hallucination-like experiences share similar cognitive mechanisms. This is a preprint of an article published by Taylor & Francis in Cognitive Neuropsychiatry on 06/DEC/2019, available at the following doi: 10.1080/13546805.2019.1700789

scholarly journals Pareidolia-proneness, reality discrimination errors, and visual hallucination-like experiences in a non-clinical sample

2019 ◽  
Vol 25 (2) ◽  
pp. 113-125 ◽  
Author(s):  
David Smailes ◽  
Emma Burdis ◽  
Constantina Gregoriou ◽  
Bryony Fenton ◽  
Rob Dudley
Keyword(s):  
Visual Hallucination ◽  
Clinical Sample ◽  
Reality Discrimination

Test-Retest Reliability of a Self-Report Questionnaire for DSM-IV and ICD-10 Personality Disorders

2000 ◽  
Vol 16 (1) ◽  
pp. 53-58 ◽  
Author(s):  
Hans Ottosson ◽  
Martin Grann ◽  
Gunnar Kullgren
Keyword(s):  
Personality Disorder ◽  
Anxiety Disorders ◽  
Personality Disorders ◽  
Clinical Sample ◽  
Self Report ◽  
Anxiety State ◽  
Short Term ◽  
Retest Reliability ◽  
Axis I ◽  
Test Retest Reliability

Summary: Short-term stability or test-retest reliability of self-reported personality traits is likely to be biased if the respondent is affected by a depressive or anxiety state. However, in some studies, DSM-oriented self-reported instruments have proved to be reasonably stable in the short term, regardless of co-occurring depressive or anxiety disorders. In the present study, we examined the short-term test-retest reliability of a new self-report questionnaire for personality disorder diagnosis (DIP-Q) on a clinical sample of 30 individuals, having either a depressive, an anxiety, or no axis-I disorder. Test-retest scorings from subjects with depressive disorders were mostly unstable, with a significant change in fulfilled criteria between entry and retest for three out of ten personality disorders: borderline, avoidant and obsessive-compulsive personality disorder. Scorings from subjects with anxiety disorders were unstable only for cluster C and dependent personality disorder items. In the absence of co-morbid depressive or anxiety disorders, mean dimensional scores of DIP-Q showed no significant differences between entry and retest. Overall, the effect from state on trait scorings was moderate, and it is concluded that test-retest reliability for DIP-Q is acceptable.

Self-reports of emotional distress in a sample of urban black high school students

1982 ◽  
Vol 12 (4) ◽  
pp. 809-817 ◽  
Author(s):  
Ellen W. Freeman ◽  
Karl Rickels ◽  
Emily B. H. Mudd ◽  
George R. Huggins ◽  
Celso-Ramon Garcia
Keyword(s):  
High School ◽  
High School Students ◽  
Emotional Distress ◽  
Clinical Sample ◽  
Great Majority ◽  
Self Report ◽  
School Students ◽  
Hopkins Symptom Checklist ◽  
Adolescent Groups ◽  
High Distress

SynopsisEmotional distress as assessed by the self-report Hopkins Symptom Checklist (HSCL) was examined in a sample of 607 urban black high school students aged 15–18. These adolescents reported high distress primarily about feelings of disadvantage, volatile anger, interpersonal sensitivity and loneliness. Females were significantly more likely than males to indicate emotional distress, although several of the leading distress items were endorsed equally by both groups. Male and female scores across the HSCL factors differed in degree rather than form. The great majority of these adolescents didnotreport significant emotional distress. These data provide a base from a non-clinical sample for comparison with other adolescent groups where emotional distress may play a role.

Algorithms for detecting broadband signals with a constant level of false alarms

2021 ◽  
Author(s):  
I.F. Lozovskiy
Keyword(s):  
Detection Threshold ◽  
Signal Amplitude ◽  
Rayleigh Distribution ◽  
Training Sample ◽  
Detection Algorithm ◽  
Constant Level ◽  
False Alarms ◽  
Interference Power ◽  
Number Of False Alarms ◽  
Distribution Type

The use of broadband souding signals in radars, which has become real in recent years, leads to a significant reduction in the size of resolution elements in range and, accordingly, in the size of the window in which the training sample is formed, which is used to adapt the detection threshold in signal detection algorithms with a constant level of false alarms. In existing radars, such a window would lead to huge losses. The purpose of the work was to study the most rational options for constructing detectors with a constant level of false alarms in radars with broadband sounding signals. The problem was solved for the Rayleigh distribution of the envelope of the noise and a number of non-Rayleigh laws — Weibull and the lognormal, the appearance of which is associated with a decrease in the number of reflecting elements in the resolution volume. For Rayleigh interference, an algorithm is proposed with a multi-channel in range incoherent signal amplitude storage and normalization to the larger of the two estimates of the interference power in the range segments. The detection threshold in it adapts not only to the interference power, but also to the magnitude of the «power jump» in range, which allows reducing the number of false alarms during sudden changes in the interference power – the increase in the probability of false alarms did not exceed one order of magnitude. In this algorithm, there is a certain increase in losses associated with incoherent accumulation of signals reflected from target elements, and losses can be reduced by certain increasing the size of the distance segments that make up the window. Algorithms for detecting broadband signals against interference with non-Rayleigh laws of distribution of the envelope – Weibull and lognormal, based on the addition of the algorithm for detecting signals by non-linear transformation of sample counts into counts with a Rayleigh distribution, are studied. The structure of the detection algorithm remains unchanged in practice. The options for detectors of narrowband and broadband signals are considered. It was found that, in contrast to algorithms designed for the Rayleigh distribution, these algorithms provide a stable level of false alarms regardless of the values of the parameters of non-Rayleigh interference. To reduce losses due to interference with the distribution of amplitudes according to the Rayleigh law, detectors consisting of two channels are used, in which one of the channels is tuned for interference with the Rayleigh distribution, and the other for lognormal or Weibull interference. Channels are switched according to special distribution type recognition algorithms. In such detectors, however, there is a certain increase in the probability of false alarms in a rather narrow range of non-Rayleigh interference parameters, where their distribution approaches the Rayleigh distribution. It is shown that when using broadband signals, there is a noticeable decrease in detection losses in non-Rayleigh noise due to lower detection thresholds for in range signal amplitudes incoherent storage.

An Automated Conflict-alert Function for an Air Traffic Control System

1980 ◽  
Vol 33 (3) ◽  
pp. 475-481
Author(s):  
P. Bertolazzi ◽  
M. Lucertini
Keyword(s):  
Decision Making ◽  
Control System ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Air Traffic ◽  
False Alarms ◽  
Major Purpose ◽  
Number Of False Alarms ◽  
Traffic Control System

The major purpose of an air traffic control system is to ensure the separation of two or more aircraft flying in the same airspace, with an efficiency that can be expressed in terms of capacity and cost. As air traffic grows in numbers it becomes necessary to reduce the workload of the controllers by relieving them of many monitoring tasks, and eventually some decision-making tasks, through computerized automation. In this context many developments tend to build up an efficient conflict-alert subsystem.The problem of conflict-alert in the air needs strategic tools, to make collision unlikely or even impossible, and tactical tools to detect impending collisions. The latter detect potentially hazardous aircraft encounters and alert the controller in time to warn the pilots (if necessary) and should obviously provide this capability with a minimal number of false alarms and no increase in workload.

scholarly journals Dissociative Experiences Mediate the Relationship Between Traumatic Life Events and Types of Skin Picking. Findings From Non-clinical Sample

2021 ◽  
Vol 12 ◽  
Author(s):  
Joanna Kłosowska ◽  
Rachela Antosz-Rekucka ◽  
Alina Kałużna-Wielobób ◽  
Katarzyna Prochwicz
Keyword(s):  
Life Events ◽  
Clinical Sample ◽  
Self Report ◽  
Skin Picking ◽  
Mediation Analyses ◽  
Dissociative Experiences ◽  
Traumatic Life Events ◽  
Path Analyses ◽  
Excoriation Disorder ◽  
The Relationship

Aim: Skin-picking (excoriation) disorder is considered as a form of maladaptive coping methods used by individuals who have difficulties in applying more adaptive strategies. Skin-picking development has been suggested to be preceded by traumatic life events. Dissociative symptoms have been reported as experienced by skin-picking sufferers during picking episodes. The purpose of the study was to examine whether the link between trauma and automatic type of skin-picking is mediated by the frequency of dissociative experiences, and whether the COVID-19 pandemic conditions have changed this relationship in any way.Methods: The study sample consisted of 594 adults (76% women) aged from 18 to 60. Traumatic life events, dissociative experiences, and types of skin-picking (focused vs. automatic) were assessed with self-report questionnaires. Mediation analyses and multigroup path analyses were carried out.Results: Dissociative experiences partially mediated the link between traumatic events and both types of skin-picking. The model was robust considering the conditions in which survey was filled out (pre-pandemic vs. pandemic).Conclusions: Traumatic life events and dissociative experiences are associated with both automatic and focused skin-picking regardless of pandemic conditions. Further studies are needed to understand mechanisms underlying the relationship between dissociation and skin-picking styles.

scholarly journals Ultra-processed foods and binge eating: A retrospective observational study

2020 ◽  
Author(s):  
Agnes Ayton ◽  
Ali Ibrahim ◽  
James Dugan ◽  
Eimar Galvin ◽  
Oliver Wroe-Wright
Keyword(s):  
Eating Disorder ◽  
Observational Study ◽  
Binge Eating ◽  
Clinical Sample ◽  
Self Report ◽  
Retrospective Observational Study ◽  
Processed Foods ◽  
Eating Behaviours ◽  
Male Patients ◽  
The Impact

OBJECTIVEThere is increasing evidence of the impact of ultra-processed foods on multiple metabolic and neurobiological pathways, including those involved in eating behaviours, both in animals and in humans. In this pilot study, we aimed to explore ultra-processed foods and their link with disordered eating in a clinical sample. METHODSThis was a single site, retrospective observational study in a specialist eating disorder service using self report on the electronic health records. Patients with a DSM-5 diagnosis of anorexia nervosa (AN), bulimia nervosa (BN) or binge eating disorder (BED) were randomly selected from the service database in Oxford from 2017 to 2019. The recently introduced NOVA classification was used to determine the degree of industrial food processing in each patient’s diet. Frequencies of ultra-processed foods were analysed for each diagnosis, at each mealtime and during episodes of bingeing.RESULTS71 female and 3 male patients were included in the study. 22 had AN, 25 BN and 26 had BED. Patients with AN reported consuming 55% NOVA-4 foods, as opposed to approximately 70% in BN and BED. Binge foods were 100% ultra-processed.DISCUSSIONFurther research into the metabolic and neurobiological effects of reducing ultra-processed food intake on bingeing behaviour is needed.

scholarly journals Coupling ensemble weather predictions based on TIGGE database with Grid-Xinanjiang model for flood forecast

2011 ◽  
Vol 29 ◽  
pp. 61-67 ◽  
Author(s):  
H.-J. Bao ◽  
L.-N. Zhao ◽  
Y. He ◽  
Z.-J. Li ◽  
F. Wetterhall ◽  
...  
Keyword(s):  
Weather Prediction ◽  
Grid Cell ◽  
Flood Forecasting ◽  
False Alarms ◽  
Flood Forecast ◽  
Distributed Hydrological Model ◽  
Xinanjiang Model ◽  
Numerical Weather ◽  
Number Of False Alarms ◽  
Promising Tool

Abstract. The incorporation of numerical weather predictions (NWP) into a flood forecasting system can increase forecast lead times from a few hours to a few days. A single NWP forecast from a single forecast centre, however, is insufficient as it involves considerable non-predictable uncertainties and lead to a high number of false alarms. The availability of global ensemble numerical weather prediction systems through the THORPEX Interactive Grand Global Ensemble' (TIGGE) offers a new opportunity for flood forecast. The Grid-Xinanjiang distributed hydrological model, which is based on the Xinanjiang model theory and the topographical information of each grid cell extracted from the Digital Elevation Model (DEM), is coupled with ensemble weather predictions based on the TIGGE database (CMC, CMA, ECWMF, UKMO, NCEP) for flood forecast. This paper presents a case study using the coupled flood forecasting model on the Xixian catchment (a drainage area of 8826 km2) located in Henan province, China. A probabilistic discharge is provided as the end product of flood forecast. Results show that the association of the Grid-Xinanjiang model and the TIGGE database gives a promising tool for an early warning of flood events several days ahead.

Attention: Prenatal alcohol and continuities of vigilance and attentional problems from 4 through 14 years

1995 ◽  
Vol 7 (3) ◽  
pp. 419-446 ◽  
Author(s):  
Ann P. Streissguth ◽  
Fred L. Bookstein ◽  
Paul D. Sampson ◽  
Helen M. Barr
Keyword(s):  
Latent Variable ◽  
Prenatal Alcohol Exposure ◽  
Alcohol Exposure ◽  
Teacher Ratings ◽  
Self Report ◽  
False Alarms ◽  
Vigilance Performance ◽  
Grade Teacher ◽  
Prenatal Alcohol ◽  
The Impact

AbstractThis study examined the longitudinal components of vigilance performance and attentional behaviors across the ages of 4, 7, and 14 years of life as they relate to prenatal alcohol exposure assessed by maternal self-report in midpregnancy for a cohort of 512 children. The vigilance score most salient for prenatal alcohol across this 10-year developmental period was Standard Deviation of Reaction Time (SDRT). Also salient were False Alarms (FA) on the AX task, impulsive errors reflecting difficulty in withholding a response. All 19 of the children with poorest scores on a Vigilance Latent Variable (LV) at 14 years had scored low on a similarly-defined Vigilance LV at age 7 years. Cross-lagged correlations revealed that the 7-year Vigilance LV not only predicted second-grade teacher ratings of attention a year later (r = – .38), but also predicted fourth-fifth-grade teacher ratings of attention (r = – .36). These data reveal considerable consistency across time in the impact of prenatal alcohol on child/adolescent vigilance performance and attention between 4 and 14 years of age.

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