The Cognitive Neuroscience Laboratory (CNL) is a multidisciplinary research laboratory that studies the neural underpinnings of human behavior primarily using magnetic resonance imaging (MRI). Our two focus areas are cognition in the setting of sleep deprivation, and the cognitive neuroscience of aging. In addition to our own research, we support a number of other investigators.

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Upcoming study

 

Professor Chee gave a talk at Nanyang Girls’ High School on sleep management and learning

Slides can be found here.

 

   

Duke-NUS Student Spotlight

Our alumni, Natalie Wee shares her journey as a Year 3 medical student. Click here to read more.

 

Sleep Research Society Trainee Day: June 7th 2015
Functional Imaging of Sleep Loss

 

Talking About The Walk With Singaporean Clinician Scientists

In this series, we follow the career journeys of Dr Michael Chee, Dr Ong Sin Tiong, Dr Tai E-Shyong, and Dr Ooi Eng Eong.




Click here to read more and for links to the videos.

 

Perils of sleep deprivation

Professor Chee is featured in the recent issue of International Innovation, The Enigma. Download full article here.

 

CNL at the 6th World Congress on Sleep Medicine (WASM 2015)




Professor Chee presented
Functional Imaging of Sleep Loss
at the symposium

 

Dr Lo gave an oral presentation on
Associations between Self-Resported
Sleep Duration and Cognitive Performance in Older Adults: A Systematic Review
and Meta-Analysis
Ms Leong presented a poster titled
Self-Reported Sleep Duration and Levels of Inflammatory Markers: Similarities and Differences across Genders

 

 

24 May 2015



 

Spontaneous eye-closures that herald sleep onset become more frequent when we are sleep deprived. Although these are typically associated with decreased responsiveness to external stimuli, it is less clear what occurs in the brain at these transitions to drowsiness and light sleep. We posit that that hallucinatory or dream-like mentation occurring at sleep onset could be what underlies the multiple sensory cortex activation previously attributed to the act of eye closure alone. To investigate this, task-free fMRI of sleep-deprived participants was acquired and BOLD activity associated with periods of spontaneously occurring eye closures were marked and analyzed. [Download Article]


1 May 2015



 

Recent studies demonstrate that baseline PVT performance carries information about vulnerability to subsequent sleep deprivation. But it remains unclear whether features of rested PVT performance can be used to classify a person’s relative performance in the sleep deprived state. In this study, we identified measures derived from baseline psychomotor vigilance task performance that can reliably predict vulnerability to sleep deprivation. [Download Article]


17 February 2015



 

Significant inter-individual differences in vigilance decline following sleep deprivation exist. We characterized functional connectivity in 68 healthy young adult participants in rested wakefulness and following a night of total sleep deprivation. [Download Article]


1 January 2015



 

Pathogenic effects of stress show interindividual variation and may be influenced by situational variables such as sleep loss. Here, we probed how the sympathetic nervous system might contribute to altered reactivity in sleep deprived persons. [Download Article]


25 October 2014



 

Voluntary sleep loss arising from lifestyle choices is prevalent despite it producing an unpleasant mental fog, fatigue and sleepiness that elevate the likelihood of accidents, cognitive errors and emotional dysregulation. Here, Professor Chee discusses the neural mechanisms underlying behavioral changes in the sleep-deprived state, more specifically on aspects of attention and visual processing. [Download Article]


23 September 2014



 

The association cortex supports cognitive functions enabling flexible behavior. Here, we explored the organization of human association cortex by mathematically formalizing the notion that a behavioral task engages multiple cognitive components, which are in turn supported by multiple overlapping brain regions. [Download Article]


 

Click here for more publications

 

 

 

 

 

 


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