Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Matthew F. Glasser"'
Autor:
Yuki Oi, Masakazu Hirose, Hiroki Togo, Kenji Yoshinaga, Thai Akasaka, Tomohisa Okada, Toshihiko Aso, Ryosuke Takahashi, Matthew F. Glasser, Takuya Hayashi, Takashi Hanakawa
Publikováno v:
NeuroImage, Vol 281, Iss , Pp 120377- (2023)
The Human Connectome Project (HCP)-style surface-based brain MRI analysis is a powerful technique that allows precise mapping of the cerebral cortex. However, the strength of its surface-based analysis has not yet been tested in the older population
Externí odkaz:
https://doaj.org/article/9180661532b34efba47e944d6b249308
Autor:
Barnaly Rashid, Matthew F. Glasser, Thomas Nichols, David Van Essen, Meher R. Juttukonda, Nadine A. Schwab, Douglas N Greve, Essa Yacoub, Allison Lovely, Melissa Terpstra, Michael P. Harms, Susan Y. Bookheimer, Beau M. Ances, David H. Salat, Steven E. Arnold
Publikováno v:
NeuroImage, Vol 276, Iss , Pp 120192- (2023)
Several cardiovascular and metabolic indicators, such as cholesterol and blood pressure have been associated with altered neural and cognitive health as well as increased risk of dementia and Alzheimer's disease in later life. In this cross-sectional
Externí odkaz:
https://doaj.org/article/fb9aaac7b02641d0b4aee85c24b52e5f
Autor:
Jie Lisa Ji, Jure Demšar, Clara Fonteneau, Zailyn Tamayo, Lining Pan, Aleksij Kraljič, Andraž Matkovič, Nina Purg, Markus Helmer, Shaun Warrington, Anderson Winkler, Valerio Zerbi, Timothy S. Coalson, Matthew F. Glasser, Michael P. Harms, Stamatios N. Sotiropoulos, John D. Murray, Alan Anticevic, Grega Repovš
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2023)
IntroductionNeuroimaging technology has experienced explosive growth and transformed the study of neural mechanisms across health and disease. However, given the diversity of sophisticated tools for handling neuroimaging data, the field faces challen
Externí odkaz:
https://doaj.org/article/aa1afebeb60a4adb8e08db30c030fadb
Autor:
Santosh Chandrasekaran, Stephan Bickel, Jose L. Herrero, Joo-won Kim, Noah Markowitz, Elizabeth Espinal, Nikunj A. Bhagat, Richard Ramdeo, Junqian Xu, Matthew F. Glasser, Chad E. Bouton, Ashesh D. Mehta
Publikováno v:
Brain Stimulation, Vol 14, Iss 5, Pp 1184-1196 (2021)
Background: Paralysis and neuropathy, affecting millions of people worldwide, can be accompanied by significant loss of somatosensation. With tactile sensation being central to achieving dexterous movement, brain-computer interface (BCI) researchers
Externí odkaz:
https://doaj.org/article/6695ebd220fc4099b9434ab6ed0370fd
Autor:
Santosh Chandrasekaran, Matthew Fifer, Stephan Bickel, Luke Osborn, Jose Herrero, Breanne Christie, Junqian Xu, Rory K. J. Murphy, Sandeep Singh, Matthew F. Glasser, Jennifer L. Collinger, Robert Gaunt, Ashesh D. Mehta, Andrew Schwartz, Chad E. Bouton
Publikováno v:
Bioelectronic Medicine, Vol 7, Iss 1, Pp 1-11 (2021)
Abstract Almost 100 years ago experiments involving electrically stimulating and recording from the brain and the body launched new discoveries and debates on how electricity, movement, and thoughts are related. Decades later the development of brain
Externí odkaz:
https://doaj.org/article/e0c90b1ec44249d2a884e5f225676356
Autor:
Matthew F. Glasser, Timothy S. Coalson, Michael P. Harms, Junqian Xu, Graham L. Baum, Joonas A. Autio, Edward J. Auerbach, Douglas N. Greve, Essa Yacoub, David C. Van Essen, Nicholas A. Bock, Takuya Hayashi
Publikováno v:
NeuroImage, Vol 258, Iss , Pp 119360- (2022)
T1-weighted divided by T2-weighted (T1w/T2w) myelin maps were initially developed for neuroanatomical analyses such as identifying cortical areas, but they are increasingly used in statistical comparisons across individuals and groups with other vari
Externí odkaz:
https://doaj.org/article/1881e790dd474fb8b7f72d77012d133f
Autor:
Takayuki Ose, Joonas A. Autio, Masahiro Ohno, Stephen Frey, Akiko Uematsu, Akihiro Kawasaki, Chiho Takeda, Yuki Hori, Kantaro Nishigori, Tomokazu Nakako, Chihiro Yokoyama, Hidetaka Nagata, Tetsuo Yamamori, David C. Van Essen, Matthew F. Glasser, Hiroshi Watabe, Takuya Hayashi
Publikováno v:
NeuroImage, Vol 250, Iss , Pp 118965- (2022)
Localising accurate brain regions needs careful evaluation in each experimental species due to their individual variability. However, the function and connectivity of brain areas is commonly studied using a single-subject cranial landmark-based stere
Externí odkaz:
https://doaj.org/article/c217f83763704e8ea0a71112cb51198d
Autor:
Jennifer Stine Elam, Matthew F. Glasser, Michael P. Harms, Stamatios N. Sotiropoulos, Jesper L.R. Andersson, Gregory C. Burgess, Sandra W. Curtiss, Robert Oostenveld, Linda J. Larson-Prior, Jan-Mathijs Schoffelen, Michael R. Hodge, Eileen A. Cler, Daniel M. Marcus, Deanna M. Barch, Essa Yacoub, Stephen M. Smith, Kamil Ugurbil, David C. Van Essen
Publikováno v:
NeuroImage, Vol 244, Iss , Pp 118543- (2021)
The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances in human neuroimaging, particularly for measures of brain connectivity; apply these advances to study a large number of healthy young adults; and fr
Externí odkaz:
https://doaj.org/article/fe93c1d02763446c88062ba1a386abf5
Autor:
Chihiro Yokoyama, Joonas A. Autio, Takuro Ikeda, Jérôme Sallet, Rogier B. Mars, David C. Van Essen, Matthew F. Glasser, Norihiro Sadato, Takuya Hayashi
Publikováno v:
NeuroImage, Vol 245, Iss , Pp 118693- (2021)
Social interaction is thought to provide a selection pressure for human intelligence, yet little is known about its neurobiological basis and evolution throughout the primate lineage. Recent advances in neuroimaging have enabled whole brain investiga
Externí odkaz:
https://doaj.org/article/5740c6cef8074caaa164c0f43695bb5d
Publikováno v:
NeuroImage, Vol 243, Iss , Pp 118533- (2021)
Research into the human connectome (i.e., all connections in the human brain) with the use of resting state functional MRI has rapidly increased in popularity in recent years, especially with the growing availability of large-scale neuroimaging datas
Externí odkaz:
https://doaj.org/article/fa76983161064785b20810d2d78eb7d4