EXPLORATORY RESEARCH
We develop novel tools for assessment of mental wellbeing and cognition and analysis of the EEG signal, and use machine learning and AI frameworks to understand diverse human physiological, mental and cognitive phenotypes and their social and environmental determinants.
Brain Physiology
EEG is a non invasive, portable and cost effective neuroimaging technology that allows easy acquisition of large scale data and deep insights into brain physiology. Its primary advantage is its high temporal resolution. We develop novel tools to extract features of its rich temporal structure to better understand how the brain signal relates to cognitive and mental health outcomes.
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A Primer on Bayes Theorem (for Neuroimaging)
A Bayesian framework, one that works with conditional probabilities, has numerous applications in...
EEG Signal Quality in Wet Versus Dry Electrodes
Dry electrodes have some clear advantages but how does their signal quality compare to wet...
Bayesian Model Selection For DCM Using EEG
How do you compare and select the best Bayesian model in Dynamic Causal Modeling or DCM of EEG...
Dynamic Causal Modelling (DCM): DCM – Neural Mass Models and Bayesian Inference
This post discusses the core components of neural mass models and Bayesian inference in DCM applied...
Dynamic Causal Modeling and the Application of Bayes Theorem
Dynamic Causal Modeling (DCM) takes a probabilistic Bayesian framework to infer effective or causal...
Perspectives on the Future of EEG from EEG2021
Where is the future of EEG? The EEG 2021 Symposium held last week discussed various aspects of the...
A Primer on Bayes Theorem (for Neuroimaging)
A Bayesian framework, one that works with conditional probabilities, has numerous applications in...
EEG Signal Quality in Wet Versus Dry Electrodes
Dry electrodes have some clear advantages but how does their signal quality compare to wet...
Bayesian Model Selection For DCM Using EEG
How do you compare and select the best Bayesian model in Dynamic Causal Modeling or DCM of EEG...
Dynamic Causal Modelling (DCM): DCM – Neural Mass Models and Bayesian Inference
This post discusses the core components of neural mass models and Bayesian inference in DCM applied...
Mental Health
Our work in mental health assessment has led to the development of a tool called the Mental Health Quotient or MHQ for the comprehensive assessment of mental wellbeing along a spectrum from clinical to thriving that is used in the Global Mind Project (previously the Mental Health Million Project). Our research focuses on using this data to understand clinical and normal mental phenotypes in the population, their corresponding physiological or EEG profiles as well as social determinants of mental health outcomes.
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Using Population Data to Impact Mental Health
Understanding of population-level data of mental health and wellbeing can shape public policy and...
What is our Collective Mental Wellbeing?
The Mental Health Quotient gives us a insight into the full spectrum of mental health and...
Is symptom-based diagnosis of mental health disorders doing more harm than good?
We need to abandon the conventional way of diagnosing mental health disorders by symptoms and...
Gender Gaps in Mental Wellbeing
Nonbinary adults face challenges to mental wellbeing, research shows. The American Psychiatric...
The Powerful Ways that Physical Activity can Improve Mental Health
Physical exercise is critical for our mental health and wellbeing. Data from the Mental Health...
MHQ Highlights Gender Differences in Mental Health
Data from the Mental Health Million Project sheds light on the gender differences in mental health....
Using Population Data to Impact Mental Health
Understanding of population-level data of mental health and wellbeing can shape public policy and...
What is our Collective Mental Wellbeing?
The Mental Health Quotient gives us a insight into the full spectrum of mental health and...
Is symptom-based diagnosis of mental health disorders doing more harm than good?
We need to abandon the conventional way of diagnosing mental health disorders by symptoms and...
Gender Gaps in Mental Wellbeing
Nonbinary adults face challenges to mental wellbeing, research shows. The American Psychiatric...
Cognitive Health
There are many aspects to cognition. We work on ways to measure and assess its elements across the life span in a way that that can extend across languages and cultures and be readily related to brain activity.
Our research focuses on understanding cognitive phenotypes, EEG predictors of cognitive health across the lifespan and social and environmental drivers of cognitive expansion.
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Education and Travel in the EEG
Education and travel both increase the scope for more complex, novel stimulus to the brain. In...
EEG Complexity Increases in Lockstep with Stimulus Consumption
More complex environments with expanded scope for stimulii to the brain have far reaching impact on...
Glia As Key Players in Network Activity and Plasticity
After decades of being ignored, the important role of glia in shaping network activity and behavior...
Perspectives on the Future of EEG from EEG2021
Where is the future of EEG? The EEG 2021 Symposium held last week discussed various aspects of the...
The Microbiome-Brain Challenge
The microbiome is vast and we are only now beginning to understand the breadth of influence they...
Astrocytes Mediate Brain Lymphatic Function
The lymphatic system plays a key role in waste removal and immune function. Until 2012 it was...
Education and Travel in the EEG
Education and travel both increase the scope for more complex, novel stimulus to the brain. In...
EEG Complexity Increases in Lockstep with Stimulus Consumption
More complex environments with expanded scope for stimulii to the brain have far reaching impact on...
Glia As Key Players in Network Activity and Plasticity
After decades of being ignored, the important role of glia in shaping network activity and behavior...
Perspectives on the Future of EEG from EEG2021
Where is the future of EEG? The EEG 2021 Symposium held last week discussed various aspects of the...
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