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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30 October 2008
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Using 24 h of total sleep deprivation to perturb normal cognitive function, we conducted a double-blind, placebo-controlled crossover study to evaluate the effect of the acetylcholinesterase inhibitor, donepezil, on behavioral performance and task-related brain activation in 28 healthy, young adult volunteers.
[Pdf article] | [Supplementary materials] | [Supplementary tables] | [Supplementary figures]
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22 July 2008
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fMR-Adaptation and the bilingual brain: fMR-Adaptation, where a pair of identical stimuli elicits a smaller neural response than a pair of dissimilar stimuli has been extensively used to study object identification and classification as well as memory. Thus far this technique has found limited application in evaluating brain areas sensitive to meaning, language and control of language production. These studies are reviewed together with suggestions as to how varying inter-stimulus repetition lag, dimension of interest and evaluating inter-individual differences may shed new light on how different languages are acquired and represented in the brain.
Investigation and validation of intersite fMRI studies using the same imaging hardware: To provide a between-site comparison of functional MRI (fMRI) signal reproducibility in two laboratories equipped with identical imaging hardware and software. Many studies have looked at within-subject reliability and more recent efforts have begun to calibrate responses across sites, magnetic field strengths, and software. By comparing identical imaging hardware and software, we provide a benchmark for future multisite comparisons.
Download the pdf articles here.
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11 July 2008
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This review summarizes current knowledge about what fMRI has revealed regarding the neurobehavioral correlates of sleep deprivation and sleep-dependent memory consolidation.
Read the rest of the abstract here.
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28 May 2008
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Prof Michael Chee receives the Singapore Translational Research Investigator Award (STaR)
The newly introduced Singapore Translational Research Investigator Award is a prestigious award that aims to recruit and nurture world-class clinician scientists to undertake cutting edge translational and clinical research (TCR) in Singapore.
Four renowned translational and clinical researchers formed the inaugural batch of STaR awardees, including two international cancer researchers, a Singapore neuroscientist specialising in sleep deprivation and a Singapore eye researcher, previously based overseas and who will now spend more time in Singapore on his translational work in retina vascular imaging. [read more: CNA] [read more: MOH]
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CNL Featured in NUS Research Gallery: Lack of sleep affects visual processing
Neuroscience researchers at the Duke-NUS Medical School have provided first-time evidence that sleep-deprived individuals indeed experience periods of slow response and severe drops in visual processing and attention. More significantly, they found that these periods of slow response are mixed with periods of near-normal brain function after sleep deprivation... [read more]
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Volunteers Needed!
We are seeking volunteer participation for two on-going research studies:
1. Singapore Longitudinal Aging Brain Study (S-LABS)
We are seeking healthy Chinese elderly above the age of 55 to participate in the Singapore Longitudinal Aging Brain Study (S-LABS). If you or your family members are interested, kindly contact us at 6326 6178 for more details.
2. Attention and Visual Processing in Sleep Deprivation
This study will take place over approximately 2 weeks, and volunteers will undergo 2 magnetic resonance imaging (MRI) scanning sessions, with one session being an overnight sleep deprivation session.
If you are aged between 21 to 35, with no chronic illnesses and have regular sleeping patterns (at least 6.5 hours of sleep every night), please fill up the sleep questionnaire here to take part in our study.
