Finally, we would like to announce that we are looking for PhD/MPhil students for matriculation in Summer/Fall 2025! For more information, please see our posting here: shorturl.at/B3zAs 7/7

@jingwenfrancesjin.bsky.social was recently awarded the General Research Fund (GRF) grant from the University Grants Committee in Hong Kong! This project will examine how threat anticipation leads to biased threat detection in anxiety, using both neuroimaging and computational techniques. 6/

We would also like to congratulate Yuqi, our incoming PhD student, for winning the HKU Presidential PhD Scholarship - an incredible feat! At PANDM, Yuqi hopes to continue using the Predictive Processing Framework and neuroimaging techniques to investigate the mechanisms of anxiety. 5/

HKU student awarded prestigious Gates Cambridge Scholarship - Press Releases - Media - HKU Friederike Elisabeth Hedley, Master’s student in the Department of Psychology of HKU Friederike Elisabeth Hedley, a Master’s student in the Department of Psychology of the University of H...

Read more about @fehedley.bsky.social's wonderful achievement here: www.hku.hk/press/press-.... 4/

We would like to congratulate our newly graduated MPhil student, Friederike, on her Gates-Cambridge Scholarship! Friederike is headed to Cambridge this fall for her PhD, where she will study learning under uncertainty in younger populations, and its links to maladaptive cognitive processing. 3/

A picture of PANDM lab at graduation.

First, happy graduation to Friederike (MPhil), Hilary (PhD), and Ann (PsyD)! 2/

As the 2023-2024 academic year is coming to a close, the PANDM lab has some exciting news to share! 1/

Thank you, Aidan. Looking forward to working with this amazing journal!

Check out our new work by @fehedley.bsky.social 👀 In this paper, we draw upon uncertainty decomposition in Bayesian Decision Theory to present a conceptual structure of uncertainty for cognitive and clinical sciences, in particular, anxiety research... doi.org/10.1111/bjop...

Inferring trajectories of psychotic disorders using dynamic causal modeling Introduction: Illness course plays a crucial role in delineating psychiatric disorders. However, existing nosologies consider only its most basic features (e.g., symptom sequence, duration). We develo...

Check out our latest work published in Computational Psychiatry, which uses Dynamic Causal Modeling to characterize course patterns for depression, mania, and psychosis! Empirical data showed that DCM accurately captured symptom trajectories. cpsyjournal.org/articles/10.... #ComputationalPskychiatry

Specifically, we investigate 1) how emotional information is encoded in the human brain, 2) how we make emotion-related perceptual decisions, and 3) finally, how alterations to computational and neural systems relevant to emotion processing contribute to the development of psychopathology. 3/

#PsychSciSky #neuroskyence #compneurosky #CogSci
In the next few posts, we’ll share more about our ongoing research projects and introduce you to our team!

Broadly, our research focuses on a fundamental aspect of affective science, namely the processing of emotional information. 2/

#HiSciSky We are the Psychopathology, Affective Neuroscience, and Decision Making Lab from the University of Hong Kong. The goal of our research is to understand the psychological and neural mechanisms of affective experiences and related mental health issues, focusing on depression & anxiety. 1/