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Weiying Dai on Muck Rack

Weiying Dai

As seen in: Wiley Online Library, MDPI, The Conversation, Medical Xpress, St. Louis Post-Dispatch, BioRxiv, ScienceAlert, Scroll.in, Nextgov/FCW, Omaha World-Herald and
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Articles

Mechanics of the Spatiotemporal Evolution of Sulcal Pits in the Folding Brain

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By Akbar Solhtalab, Yanchen Guo, Ali Gholipour, Weiying Dai
| BioRxiv
Abstract Understanding the development of complex brain surface morphologies during the fetal stage is essential for uncovering mechanisms behind brain disorders linked to abnormal cortical folding. However, knowledge of the spatiotemporal evolution of fetal brain landmarks is limited due to the lack of longitudinal data capturing multiple timepoints for individual brains.
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Reproducibility and Sensitivity of Resting‐State fMRI in Patients With Parkinson's Disease Using Cross Validation‐Based Data Censoring

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By Miao Cai, Dan Wu, Weiying Dai, Destaw Bayabil Mekbib
| Wiley Online Library Verified
Background Uncontrollable body movements are typical symptoms of Parkinson's disease (PD), which results in inconsistent findings regarding resting-state functional connectivity (rsFC) networks, especially for group difference clusters. Systematically identifying the motion-associated data was highly demanded. Purpose To determine data censoring criteria using a quantitative cross validation-based data censoring (CVDC) method and to improve the detection of rsFC deficits in PD.
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Illuminating the brain one neuron and synapse at a time - 5 essential reads about how researchers are using new tools to map its structure and function Original

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By Vivian Lam Verified, Anastasia Brodovskaya, Brian Smith, Don Arnold, Elizabeth J. Hong, Jaideep Kapur, John P. Crimaldi, Mir Jalil Razavi, Nathan Urban, Weiying Dai, Yongsoo Kim
| The Conversation Verified
Scientists know both a lot and very little about the brain. With billions of neurons and trillions of connections among them, and the experimental limitations of examining the seat of consciousness and bodily function, studying the human brain is a technical, theoretical and ethical challenge. And one of the biggest challenges is perhaps one of the most fundamental – seeing what it looks like in action.
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