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<!-- === BEGIN HEADER === -->
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<div class="headline"><h2 class="text-center"><b>Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory</b></h2></div>
<!-- <p class="text-center" style="font-size: medium;color: blue;font-weight: bold;"><i>We are excited to host the EPVS Segmentation Challenge at MICCAI 2024 in Morocco! Learn more <a href="https://www.synapse.org/#!Synapse:syn54100278/wiki/626542" style="color:rgb(255,102,0)!important" target="_blank">here</a></i></p> -->
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<h2>About us <a href="https://twitter.com/mnndl_lab?ref_src=twsrc%5Etfw" class="twitter-follow-button" data-size="large" data-show-count="false">Follow @mnndl_lab</a><script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> <a href="https://github.com/hzlab" class="fa-brands fa-github fa-lg" ></a></h2>
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<p>The Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL) is a multidisciplinary research laboratory at the <a style="color:#002b80" href="https://medicine.nus.edu.sg/csc/" target="_blank"><u>Center for Sleep and Cognition</u></a>, Department of Medicine, <a style="color:#002b80" href="https://nusmedicine.nus.edu.sg/" target="_blank"><u>Yong Loo Lin School of Medicine, National University of Singapore</u></a>, Singapore. Lab members have access to research-dedicated Siemens 3T MAGNETOM Prisma fit and Prisma MRI scanners, high density electroencephalography (EEG), EEG-fMRI equipment, eye-tracking devices, and high-performance computing cluster and storage. </p>
<!-- <p>The Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory is a multidisciplinary research laboratory at the <a style="color:#002b80" href="http://www.centre4cogneurosci.org/Home" target="_blank"><u> Centre for Cognitive Neuroscience</u></a>, Neuroscience and Behavioral Disorders Program at <a style="color:#002b80" href="https://www.duke-nus.edu.sg/" target="_blank"><u>Duke-National University of Singapore Medical School</u></a>, Singapore. Lab members have access to a research-dedicated Siemens 3T MAGNETOM Prisma fit, high density electroencephalography (EEG), EEG-fMRI equipment, eye-tracking devices, and high performance computing cluster and storage.</p> -->
<!-- <p>Our lab studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical and computational methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.</p> -->
<!-- <p>Our lab studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.</p> -->
<p>Our lab studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.</p>
<p>We are currently looking for research fellows, research associates/assistants, graduate students and research interns. Please see <a style="color:#002b80" href="career.html" target="_blank"><u>job openings</u></a>.</p>
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