A Dimensional-spectrum Model Of Mental Disorders: Developing New Assessments To Improve The Diagnostic Validity Of Multiple Mental Disorders
Funder
National Health and Medical Research Council
Funding Amount
$311,860.00
Summary
Advances in the scientific literature have highlighted that significant improvements to validity and clinical utility can be made through the use of a dimensional-spectrum model of psychopathology. To encourage the future use of the dimensional-spectrum model, the current research project aims to develop and test an innovative and novel assessment tool for diagnosing mental disorders in community and clinical populations using a dimensional-spectrum model as the guiding theoretical framework.
Detecting and tracking alertness using speech biometrics. Traditional tests for detecting and tracking alertness are limited by their accuracy and inability to be administered without stopping work. This project aims to investigate how speech can be used to monitor changes in performance resulting from sleep deprivation and successive night shifts. The expected outcomes are 1) new knowledge on how sensitive speech and language features are for detecting change in alertness, and 2) development an ....Detecting and tracking alertness using speech biometrics. Traditional tests for detecting and tracking alertness are limited by their accuracy and inability to be administered without stopping work. This project aims to investigate how speech can be used to monitor changes in performance resulting from sleep deprivation and successive night shifts. The expected outcomes are 1) new knowledge on how sensitive speech and language features are for detecting change in alertness, and 2) development and verification of a highly accurate, cost-effective, speech focussed assay capable of detecting impaired alertness from otherwise healthy individuals. The project should benefit the way fitness for duty is tested and provide new methods for safeguarding Australians working in at-risk environments.Read moreRead less
Creating An Empirically Based Classification System For Mental Illness
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
Mental disorders are typically diagnosed using a set of strictly agreed diagnostic criteria. For example, in the DSM-5 a major depression diagnosis requires at least five of nine symptom criteria to be met. However, the DSM-5 is now widely agreed to have important limitations for the work of researchers and clinicians. My research will overcome those limitations by completing a data-driven classification system based on the patterns in the ways people experience symptoms of mental illness.
Diagnosing Major Depression In Older Australian Adults: Is There Evidence For Age-related Bias?
Funder
National Health and Medical Research Council
Funding Amount
$202,839.00
Summary
Epidemiological studies have consistently indicated that the prevalence of depression decreases with increasing age. Researchers have debated whether this finding is a real age-dependent decline or an artefact of sampling and assessment. This study seeks to use statistical methods and cognitive interviewing to investigate the potential for age-related bias in the criteria for major depression. The study will make recommendations to improve the diagnostic methods used diagnose and treat major dep ....Epidemiological studies have consistently indicated that the prevalence of depression decreases with increasing age. Researchers have debated whether this finding is a real age-dependent decline or an artefact of sampling and assessment. This study seeks to use statistical methods and cognitive interviewing to investigate the potential for age-related bias in the criteria for major depression. The study will make recommendations to improve the diagnostic methods used diagnose and treat major depression in the old age.Read moreRead less
Cognition In First Episode Psychosis: Mapping Relationships Between Task Performance, Brain Changes And Symptoms
Funder
National Health and Medical Research Council
Funding Amount
$79,734.00
Summary
Schizophrenia is a devastating illness. Medication can successfully treat the 'positive' symptoms, such as hallucinations and delusions. However, cognitive impairments have been identified as a greater burden. This project aims to better understand the brain basis of these cognitive impairments, by looking at the relationships between participants’ responses to cognitive tests, their brain activity during the testing, and their symptoms and general functioning over time.
The Validation Of A Culturally-specific Measure To Identify Depression In Aboriginal And Torres Strait Islander People With Or Without Chronic Disease
Funder
National Health and Medical Research Council
Funding Amount
$658,971.00
Summary
The project aims to determine whether a short, free-to-use, questionnaire about depression that has been adapted for use with Aboriginal and Torres Strait Islander people, accurately identifies depression in this population. Specifically we aim to test whether this measure is suitable for use in primary care settings with Aboriginal and Torres Strait Islander people with or without chronic disease.