NYCU
Laboratory of
Precision Psychiatry

Precision. Data. Psychiatry.

Our Mission

The Laboratory of Precision Psychiatry is dedicated to the research focusing on improving the precision of the diagnosis and treatment of mental illness. We aim to develop novel techniques for identifying objective biomarkers of psychiatric disorders and for understanding the pathophysiology of the mental illness.

Members

300+

Research

300+

Publications

300+

Director of Lab

Albert Chih-Chieh Yang

Research

View All Research

A transparent wireframe illustration of a human brain with a complex neural network, symbolizing digital medicine and precision psychiatry research.

Machine Learning in Psychiatry

Using multiscale entropy (MSE) analysis, which enables capturing complex dynamics of time series, we characterized MSE patterns of blood-oxygen-level-dependent (BOLD) signal across different time scales and determined whether BOLD activity in patients with schizophrenia exhibits increased complexity (increased entropy in all time scales), decreased complexity toward regularity (decreased entropy in all time scales), or decreased complexity toward uncorrelated randomness (high entropy in short time scales followed by decayed entropy as the time scale increases). Results suggested…

Complexity Analysis of Brain Signal

Sleep

Sleep disturbances are common in both clinical inpatient and outpatient populations. The Margret & H. A. Rey Institute for Nonlinear Dynamics in Medicine (ReyLab) and Dr. Robert Thomas at Harvard University have devised a new analysis utilizing surface ECG signals for detecting alternating sleep-wake patterns in sleep disorders. The method is termed cardiopulmonary coupling analysis (CPC). We have applied this …

Epidemiology Time Series Analysis

Fluctuation in epidemiological time series data usually consists of multiple periodic components which their cycles and trends need to be delineated and adjusted. However, conventional methods of time series decomposition require either predefined frequency of oscillations or the assumption of stationarity, which the later is often invalid in epidemiological time series. We therefore present…

Heart Rate Variability

Instantaneous heart rate in response to physiological perturbations often exhibits remarkable oscillations at multiple time scales. These oscillations, known as heart rate variability (HRV), are mainly mediated by the autonomic nervous system via parasympathetic and sympathetic innervations. Analysis of HRV has been suggested to…

Information Categorization Method

Everyday life is full of information, ranging from items in newspapers or televised reports, to highway signs, to works of music and literature. A common underlying feature of the many different types of information-carrying entities is that they can be coded and broadcast by a sequence of symbols. Some of these sequences are…