Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Michael N. Dretsch"'
Publikováno v:
IEEE Access, Vol 12, Pp 55474-55490 (2024)
Deep neural networks (DNN) are increasingly being used in neuroimaging research for the diagnosis of brain disorders and understanding of human brain. Despite their impressive performance, their usage in medical applications will be limited unless th
Externí odkaz:
https://doaj.org/article/ba057c27d5754a32983cdbdb168542f3
Autor:
Steven D. Hicks, Cayce Onks, Raymond Y. Kim, Kevin J. Zhen, Jayson Loeffert, Andrea C. Loeffert, Robert P. Olympia, Gregory Fedorchak, Samantha DeVita, Zofia Gagnon, Callan McLoughlin, Miguel M. Madeira, Scott L. Zuckerman, Timothy Lee, Matthew Heller, Chuck Monteith, Thomas R. Campbell, Christopher Neville, Elise Fengler, Michael N. Dretsch
Publikováno v:
Journal of Sport and Health Science, Vol 12, Iss 3, Pp 369-378 (2023)
Background: Recognizing sport-related concussion (SRC) is challenging and relies heavily on subjective symptom reports. An objective, biological marker could improve recognition and understanding of SRC. There is emerging evidence that salivary micro
Externí odkaz:
https://doaj.org/article/e5897ff78daa4c4c9408e4f5964db9f1
Autor:
Nguyen Huynh, Da Yan, Yueen Ma, Shengbin Wu, Cheng Long, Mirza Tanzim Sami, Abdullateef Almudaifer, Zhe Jiang, Haiquan Chen, Michael N. Dretsch, Thomas S. Denney, Rangaprakash Deshpande, Gopikrishna Deshpande
Publikováno v:
Brain Sciences, Vol 14, Iss 5, p 456 (2024)
Functional connectivity (FC) obtained from resting-state functional magnetic resonance imaging has been integrated with machine learning algorithms to deliver consistent and reliable brain disease classification outcomes. However, in classical learni
Externí odkaz:
https://doaj.org/article/022d7d5bec324249b038ec2fd9417ddb
Autor:
Xinyu Zhao, D. Rangaprakash, Thomas S. Denney, Jr., Jeffrey S. Katz, Michael N. Dretsch, Gopikrishna Deshpande
Publikováno v:
Data in Brief, Vol 22, Iss , Pp 570-573 (2019)
This article provides data for five different neuropsychiatric disorders—Attention Deficit Hyperactivity Disorder, Alzheimer's Disease, Autism Spectrum Disorder, Post-Traumatic Stress Disorder, and Post-Concussion Syndrome–along with healthy cont
Externí odkaz:
https://doaj.org/article/e88caaad2e03485a910f3684e6b20fc3
Autor:
Steven D. Hicks, Cayce Onks, Raymond Y. Kim, Kevin J. Zhen, Jayson Loeffert, Andrea C. Loeffert, Robert P. Olympia, Gregory Fedorchak, Samantha DeVita, Aakanksha Rangnekar, John Leddy, Mohammad N. Haider, Zofia Gagnon, Callan D. McLoughlin, Matthew Badia, Jason Randall, Miguel Madeira, Aaron M. Yengo‐Kahn, Justin Wenzel, Matthew Heller, Hallie Zwibel, Aaron Roberts, Samantha Johnson, Chuck Monteith, Michael N. Dretsch, Thomas R. Campbell, Rebekah Mannix, Christopher Neville, Frank Middleton
Publikováno v:
Clinical and Translational Medicine, Vol 10, Iss 6, Pp n/a-n/a (2020)
Abstract Background Early, accurate diagnosis of mild traumatic brain injury (mTBI) can improve clinical outcomes for patients, but mTBI remains difficult to diagnose because of reliance on subjective symptom reports. An objective biomarker could inc
Externí odkaz:
https://doaj.org/article/ab3029987428481783e3cf2a9c859900
Autor:
Pradyumna Lanka, D. Rangaprakash, Sai Sheshan Roy Gotoor, Michael N. Dretsch, Jeffrey S. Katz, Thomas S. Denney, Jr., Gopikrishna Deshpande
Publikováno v:
Data in Brief, Vol 29, Iss , Pp - (2020)
Resting-state functional Magnetic Resonance Imaging (rs-fMRI) has been extensively used for diagnostic classification because it does not require task compliance and is easier to pool data from multiple imaging sites, thereby increasing the sample si
Externí odkaz:
https://doaj.org/article/1ac933edd2e0461da07f78c54a11f3d9
Autor:
D. Rangaprakash, Michael N. Dretsch, Jeffrey S. Katz, Thomas S. Denney Jr., Gopikrishna Deshpande
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Brain functioning relies on various segregated/specialized neural regions functioning as an integrated-interconnected network (i.e., metastability). Various psychiatric and neurologic disorders are associated with aberrant functioning of these brain
Externí odkaz:
https://doaj.org/article/bc76594a892b4f629b261ad79f9fe04c
Autor:
D. Rangaprakash, Michael N. Dretsch, Wenjing Yan, Jeffrey S. Katz, Thomas S. Denney, Jr., Gopikrishna Deshpande
Publikováno v:
Data in Brief, Vol 14, Iss C, Pp 558-562 (2017)
Functional magnetic resonance imaging (fMRI) is an indirect measure of brain activity, i.e. it is a convolution of the latent (unmeasured) neural signal and the hemodynamic response function (HRF). As such, the HRF has been shown to vary across brain
Externí odkaz:
https://doaj.org/article/83d93a7b2cfb4fb287191eacddf380ee
Autor:
D. Rangaprakash, Michael N. Dretsch, Wenjing Yan, Jeffrey S. Katz, Thomas S. Denney, Jr., Gopikrishna Deshpande
Publikováno v:
NeuroImage: Clinical, Vol 16, Iss , Pp 409-417 (2017)
Functional MRI (fMRI) is an indirect measure of neural activity as a result of the convolution of the hemodynamic response function (HRF) and latent (unmeasured) neural activity. Recent studies have shown variability of HRF across brain regions (intr
Externí odkaz:
https://doaj.org/article/d4cf719226284d118b158e271aabf8a4
Autor:
Xinyu Zhao, D. Rangaprakash, Bowen Yuan, Thomas S. Denney Jr, Jeffrey S. Katz, Michael N. Dretsch, Gopikrishna Deshpande
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 4 (2018)
Many brain-based disorders are traditionally diagnosed based on clinical interviews and behavioral assessments, which are recognized to be largely imperfect. Therefore, it is necessary to establish neuroimaging-based biomarkers to improve diagnostic
Externí odkaz:
https://doaj.org/article/20fed241b3b7484eaca5817c0ad5ff1a