Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Neda eJahanshad"'
Autor:
Liang eZhan, Yashu eLiu, Yalin eWang, Jiayu eZhou, Neda eJahanshad, Jieping eYe, Paul Matthew Thompson
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2015)
Alzheimer's disease (AD) is a progressive brain disease. Accurate detection of AD and its prodromal stage, mild cognitive impairment (MCI), are crucial. There is also a growing interest in identifying brain imaging biomarkers that help to automatical
Externí odkaz:
https://doaj.org/article/ca9a86fce2ee4fbea4d19149b9949696
Autor:
Liang eZhan, Jiayu eZhou, Yalin eWang, Yan eJin, Neda eJahanshad, Gautam ePrasad, Talia M. Nir, Cassandra D. Leonardo, Jieping eYe, Paul M. Thompson
Publikováno v:
Frontiers in Aging Neuroscience, Vol 7 (2015)
Alzheimer’s disease (AD) involves a gradual breakdown of brain connectivity, and network analyses offer a promising new approach to track and understand disease progression. Even so, our ability to detect degenerative changes in brain networks depe
Externí odkaz:
https://doaj.org/article/f5e5d40e60af404c968c48d9c8c894af
Autor:
Florence F Roussotte, Boris A Gutman, Derrek P Hibar, Neda eJahanshad, Sarah K Madsen, Clifford R Jack, Mike W Weiner, Paul M Thompson
Publikováno v:
Frontiers in Aging Neuroscience, Vol 5 (2013)
A recent genome-wide association meta-analysis showed a suggestive association between alcohol intake in humans and a common single nucleotide polymorphism (SNP) in the ras-specific guanine nucleotide releasing factor 2 (RASGFR2) gene. Here, we teste
Externí odkaz:
https://doaj.org/article/bccdd40368a9498c9bde7624a846f542
Autor:
Omid eKohannim, Derrek P Hibar, Jason L Stein, Neda eJahanshad, Xue eHua, Priya eRajagopalan, Art eToga, Clifford R Jack Jr, Michael W Weiner, Greig I de Zubicaray, Katie L McMahon, Narelle K Hansell, Nicholas G Martin, Margaret J Wright, Paul M Thompson
Publikováno v:
Frontiers in Neuroscience, Vol 6 (2012)
We implemented LASSO (least absolute shrinkage and selection operator) regression to evaluate gene effects in genome-wide association studies (GWAS) of brain images, using an MRI-derived temporal lobe volume measure from 729 subjects scanned as part
Externí odkaz:
https://doaj.org/article/b7e94a06728146e292b1fd816a4e80be