|Academic Profile |
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Prof Chen Shen-Hsing Annabel
Acting Director, Cradle@NTU
Professor, School of Social Sciences
Acting Head, Psychology
Office: HSS 04 19/ N1.2-B1-02A
|Prof S.H. Annabel Chen is a faculty member in School of Humanities and Social Sciences and has a joint appointment at LKCMedicine. She is a clinical neuropsychologist (licensed in Clinical Psychology, USA; Singapore Registry of Psychologists) by training and has worked with both adult and child populations. She received her Doctorate in Clinical Rehabilitation Psychology from Purdue University at Indianapolis. After completing her clinical psychology internship in Behavioral Medicine and Psychiatry at West Virginia University School of Medicine, she went on to pursue a post-doctoral clinical residency in Clinical Neuropsychology, Neurology at the Medical College of Wisconsin. She subsequently worked as a post-doctoral research affiliate at the Lucas MRS/I Center in Radiology at Stanford University School of Medicine, and was an assistant professor at the National Taiwan University in the Graduate Clinical Psychology programme. She joined NTU as an associate professor in 2008 and served as the Associate Chair for Research for the School of Humanities and Social Sciences from 2014-2015. She is currently the Acting Director at the Centre of Research and Development in Learning (CRADLE).|
|Prof Chen has a diverse research background, including animal drug studies, human neuropsychological research and cognitive rehabilitation. She has applied Positron Emission Tomography (PET) to study individuals with post-concussion sequelae from mild traumatic brain injury and olfaction in Alzheimer’s Disease, and has been involved in functional Magnetic Resonance Imaging (fMRI) research examining language processing, executive functions, and affective memory in healthy and clinical populations (e.g. stroke, anxiety, schizophrenia, dementia), as well as, assessing neural systems used in motor timing/timing perception in patients with Parkinson's Disease. Her main research interests are to investigate underlying neural substrates involved in higher cognition in the cerebellum, as well as changes in cognitive processes in healthy aging and dementia through the application of neuroimaging techniques, such as fMRI, diffusion MRI,Transcranial Magnetic Stimulation (TMS), and most recently electroencephalography (EEG). The goal of her research is to apply these paradigms to study and to develop neuroimaging markers in the cerebro-cerebellar circuitry for clinical groups, and to further understand the processes of neurodevelopmental (e.g. schizophrenia, dyslexia, autism) and neurodegenerative (e.g. dementia, healthy aging) conditions that would be informative to evidence-based interventions.|
A recent research development in her lab, the Clinical Brain lab, is focusing on the Neuroscience of Learning and Education. In particular, their lab is investigating the neurophysiological changes in aging neuroscience for learning in language, memory and executive control networks. This allows development of neuromodulation techniques to optimize and/or enhance brain functions for learning. They are also developing research in understanding the effects of emotion on cognition and self-regulation with the use of neuroimaging
- A study on the effects of coherence training on complex information processing in individuals with autism
- Active aging lifestyle with healthy cognition: A Pilot Study for an ExCITE Solution
- An Electrophysiological Investigation of the Effect of Aging on the Encoding of Recognition Memory
- An Investigation of Pedagogical Approaches in the Acquisition of Language for Low-Waged, Low-Skilled Adult Learners of English
- Cerebellar Contributions to Visual Working Memory
- Detecting Functional Changes of Clinical Significance in Aging: A Transmodality Neuroimaging Study
- Effective Biliteracy: The impact of script sets on bilingual reading networks for typical and atypical readers
- Functional Changes along the Hippocampus in Aging
- Helping Children With Dyslexia Through Neuroimaging
- How language mixes contribute to effective bilingualism and biliteracy in Singapore
- Investigating the Neural Substrates of Verbal Working Memory in Children with Dyslexia: A Multi-modal Neuroimaging Study
- Learning With Emotion
- Metabolomics platform development for biomarker detection in mindset learning
- Neuromodulation Of Repetition Priming In Learning AndMemory
- Neuromodulation of repetition priming in learning and memory
- New Sounds to Better Brain Health: The Effects of Language Learning on Aging
- Pedagogy and Learning
- Psychosocial Stress and Cognition in Healthy Aging
- Teaching Brain Literacy in Teachers
- Teasing apart spatial and verbal strategies in visual working memory
- Towards a New Generation of Wearable Medical Devices: Cognition, Ergonomics and Design
- Training Brain literary in Teachers
- Translating Educational Neuroscience To Meet Diverse Needs Of Children In Schools : Feasibility And Infrastructure
- Translating Educational Neuroscience to Meet Diverse Needs of Children in Schools: Feasibility and Infrastructure
- Understanding age-related changes in neuro-network connectivity using functional neuroimaging
- Archer, J. A., Lee, A., Qiu, A., #Chen, S-H. A. (2018). Working memory, age and education: A lifespan fMRI study. PLoS ONE, 13(3), e0194878.
- D. K. Prasad, L. Shijie, S.-H. A. Chen, C. Quek. (2018). Sentiments Analysis Using EEG Activities for Suicidology. Expert System With Applications, 103, 206-217.
- Monika Sobczak-Edmans, Yu-Chun Lo, Yung-Chin Hsu, Yu-Jen Chen, Fu Yu Kwok, Kai-Hsiang Chuang, Wen-Yih Isaac Tseng, SH Annabel Chen. (2018). Cerebro-Cerebellar Pathways for Verbal Working Memory. Frontiers in human neuroscience, 12.
- *Heng, G.J., Wu, C.Y., Archer, J.A., Miyakoshi,M., Nakai, T., #Chen, S.H.A. (2017). The role of regional heterogeneity in age-related differences in functional hemispheric asymmetry: an fMRI study. Aging Neuropsychology and Cognition, 9, 1-24.
- Z. H. Derric Eng, Y. Y. Yick, Yu Guo, Hong Xu, Miriam Reiner, T. J. Cham, SH Annabel Chen. (2017). 3D faces are recognized more accurately and faster than 2D faces, but with similar inversion effects. Vision Research, 138, 78-85.