- Amyotrophic Lateral Sclerosis Research
- Dementia and Cognitive Impairment Research
- Epigenetics and DNA Methylation
- Machine Learning in Healthcare
- Deception detection and forensic psychology
- Neurogenetic and Muscular Disorders Research
- Mental Health and Psychiatry
- Misinformation and Its Impacts
- Genetic diversity and population structure
- Evolution and Paleontology Studies
- Autophagy in Disease and Therapy
- Psychology of Moral and Emotional Judgment
- Mental Health Research Topics
- Artificial Intelligence in Healthcare
- Genomics and Phylogenetic Studies
- Memory Processes and Influences
- RNA Research and Splicing
- Biomedical Text Mining and Ontologies
- Safety Warnings and Signage
- Psychotherapy Techniques and Applications
- RNA modifications and cancer
- Parkinson's Disease Mechanisms and Treatments
- Clinical Reasoning and Diagnostic Skills
The University of Queensland
2020-2025
Research Institute for Bioscience and Biotechnology
2023
Arizona State University
2014
Scientists are assembling sequence data sets from increasing numbers of species and genes to build comprehensive timetrees. However, often unavailable for some gene combinations, the proportion missing is large containing many species. Surprisingly, there has not been a systematic analysis effect degree sparseness species–gene matrix on accuracy divergence time estimates. Here, we present results computer simulations empirical analyses quantify impact estimation in phylogenies. We found that...
Background: Leveraging machine learning on electronic health records offers a promising method for early identification of individuals at risk dementia and neurodegenerative diseases. Current algorithms heavily rely age, highlighting the need alternative models with strong predictive power, especially age 65, crucial time screening prevention. Methods: This prospective study analyzed (EHR) from 76,427 adults (age 52.1% women) using THIN database. A general algorithm Alzheimer's disease,...
We conducted DNA methylation association analyses using Illumina 450K data from whole blood for an Australian amyotrophic lateral sclerosis (ALS) case-control cohort (782 cases and 613 controls). Analyses used mixed linear models as implemented in the OSCA software. found a significantly higher proportion of neutrophils compared to controls which replicated independent Netherlands (1159 637 The MOMENT model has been shown simulations best account confounders. When combined profile score, 25...
Individuals encounter varying environmental exposures throughout their lifetimes. Some such as smoking are readily observed and have high personal recall; others more indirect or sporadic might only be inferred from long occupational histories lifestyles. We evaluated the utility of using lifetime-long self-reported for identifying differential methylation in an amyotrophic lateral sclerosis cases-control cohort 855 individuals. submitted paper-based surveys on exposure well whole blood...
False "Aha!" moments can be elicited experimentally using the Insight Anagram Task (FIAT), which combines semantic priming and visual similarity manipulations to lead participants into having for incorrect anagram solutions. In a preregistered experiment (N = 255), we tested whether warning explaining them exactly how they were being deceived, would reduce their susceptibility false insights. We found that simple warnings did not incidence of On other hand, who given detailed explanation...
Alterations to gene transcription and DNA methylation are a feature of many liver diseases including fatty disease cancer. However, it is unclear whether the changes cause or consequence transcriptional changes. It even possible that not required for If just minor player in, change, then future studies in this area should focus on other systems such as histone tail modifications. To interrogate importance de novo methylation, we generated mice homozygous mutants both Dnmt3a Dnmt3b post-natal...
The FIAT paradigm (Grimmer et al., 2022) is a novel method of eliciting ‘Aha’ moments for incorrect solutions to anagrams in the laboratory, i.e. false insights. There exist many documented reports psychotic symptoms accompanying strong feelings ‘Aha!’ (Feyaerts 2021; Mishara, 2010; Tulver 2021), therefore, newly developed could reveal whether people who have more insights are prone psychosis and delusion. To test this possibility, we recruited 200 participants take an adapted version...
False “Aha!” moments can be elicited experimentally using the Insight Anagram Task (FIAT), which combines semantic priming and visual similarity manipulations to lead participants into having for incorrect anagram solutions. In a preregistered experiment (N=255), we tested whether warning explaining them exactly how they were being deceived, would reduce their susceptibility false insights. We found that simple warnings did not incidence of On other hand, who given detailed explanation...
Abstract Background Amyotrophic lateral sclerosis (ALS), the most predominant form of Motor Neuron Disease (MND), is a progressive and fatal neurodegenerative condition that spreads throughout neuromotor system by afflicting upper lower motor neurons. Lower neurons project from central nervous innervate muscle fibres at endplates, which degrade over course disease leading to weakness. The direction neurodegeration or point neuromuscular junctions role itself in pathogenesis has continued be...