July 6th 2022
Predictive Brain Health Modelling Workshop: Lorina Naci
Lorina Naci is an Assistant Professor of Psychology and leads the 'Consciousness and Cognition' Group at the School of Psychology, Trinity College Institute of Neuroscience and Global Brain Health Institute. Lorina's group develops novel and clinically applicable neural markers of healthy and disordered cognition in healthy aging and patient populations. Collaborating with Oxford, Cambridge, and Edinburgh universities, they are developing early biomarkers of Alzheimer's disease in asymptomatic individuals, 20-30 years prior to potential diagnosis. This could lead to early detection, treatment and prevention of Alzheimer’s dementia.
March 23rd 2022
Predictive Brain Health Modelling Workshop: Silvin Knight
Silvin Knight, Senior Postdoc with the FRAILMatics research project, will lead this workshop titled "Frailty, Entropy, and the Brain". FRAILMatics overarching aim is to develop more accurate frailty tools that (without expert input) will automatically identify subtle dysregulated responses to stressors across physiological systems, using both population (N > 8500) and clinical (N ~100) cohorts. Silvin will present recent work from FRAILMatics and The Irish Longitudinal Study on Ageing (TILDA) on the quantification of neuro-cardiovascular dysregulation using signal entropy, and the associations of this novel measure with hard outcomes, such as frailty, cognitive performance, mortality, and biological brain age. He will also present current work investigating how frailty is related with brain structure and function.
January 19th 2022
Predictive Brain Health Modelling Workshop: Cian Judd (Online)
Cian Judd, PhD student with the O'Connell Lab, will lead this workshop entitled "Neurally informed insights into speed-accuracy adaptations in older adults". This work presents a series of novel techniques aimed at creating neurally informed and constrained models of the perceptual decision making process. Neural indices of the decision process are used to inform and constrain traditional drift-diffusion models, enabling more accurate between-group comparisons. Through this traditional mathematical models are grounded in, and supported by observable and measurable neural signals.
January 17th 2022
RTE Change Makers: Dr Claire Gillan and The Neureka Project
PBHM Investigator, Claire Gillan, will feature on 'Change Makers', a docuseries by RTE One in association with the Irish Universities Association. Dr Claire Gillan is combining mobile technology with citizen science to help create a clearer picture of what keeps the brain healthy. The Neureka App asks members of the public to participate in neuroscience research at home, by playing games and tracking their mood and behaviour over time. With thousands of people already involved, this ‘big data’ allows the team to figure out new ways of keeping mental health problems at bay, and promoting resilience to late life cognitive decline. Participating in the project the players at Monaghan Rugby club are amongst the first users of the App’s Pattern Wise feature that tracks behaviour and inputs the information into a data pool which will help understand why some people are more likely to fall into bad habits.
This episode will air on RTE One at 8:30pm on January 17th, or you can catch up on the RTE player.
November 17th 2021
Predictive Brain Health Modelling Workshop: Robert Whelan (Online)
PBHM Investigator, Robert Whelan, will present “Predicting who will respond to stimulant medication in ADHD: A precision medicine approach using neurally informed computational models”. In this workshop, Rob will present the outline of a project that will start in March 2022. The goal of this project is use precision medicine to improve treatment of childhood Attention Deficit Hyperactivity Disorder (ADHD). Methylphenidate is the first-line pharmacological treatment but there is wide individual variation in outcomes: 30% of children will have no clinically meaningful response. There is currently no validated objective, quantitative method for predicting who will ultimately respond. Together with co-PI Jane McGrath, and industry collaborators, Cumulus Neuroscience, this project will use neurally informed computational models derived from behaviour and electroencephalography to decompose medication effects on distinct neural mechanisms in a large cohort of medication naive patients ages 10-14 years. Interrogating this immense amount of data will be solved by using computational model parameters as inputs into machine learning algorithms. The aim will be to identify neurocognitive processes predicting who will respond clinically to methylphenidate.
September 29th 2021
Predictive Brain Health Modelling Workshop: Sean Kelley (Online)
Sean Kelley will lead this workshop on the network structure of depression. Sean is a third year PhD student at the Gillan Lab and will present analyses on rich data from >200 individuals gathered from Multi-Mood, an ecological momentary assessment challenge within the Neureka app. Network analysis is a growing field in mental health science that is based on the premise that disorders of the mind are caused by systems of interacting variables rather than latent causes. Get an intro to this area of research and help workshop analyses of these complex time series data!
September 9th 2021
Neuroscience Ireland Annual Conference
The Neuroscience Ireland 2021 meeting will be held virtually on 9th and 10th September 2021. Plenary speakers include Mark Cunningham (Trinity College Dublin), Russ Poldrack (Standford University), and Hugo Spiers (University College London).
Register today for 2 days of excellent neuroscience – we hope to see you there!
September 9th 2021
Neureka! Connecting the public to Irish neuroscience though smartphones
On the 9th of September 2021 at 7:00pm, the Gillan Lab, TCIN, will be hosting an online event as a part of Neuroscience Ireland conference, discussing all things compulsivity. During this interactive live session, the Neureka team will invite you to play an important part in cutting-edge scientific research by tracking your own behaviour, and explain what researchers do with the data they gather.
The event is free of charge. Get your ticket and learn more about the event here.
July 12th 2021
First Predictive Brain Health Modelling Workshop
The kick-off meeting for a series of workshops that are central to a new Predictive Brain Health Modelling Group at Trinity College Dublin. At this meeting, the PIs of some of the core labs of the PBHM will give an overview of ongoing research in their lab. PIs presenting are Claire Gillan, Rob Whelan, Agustin Ibanez, Roman Romero-Ortuno, and Rhodri Cusack. This meeting will showcase data-science-focused research activities that would benefit from collaboration and interact across labs.