Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Taylor Bolt"'
Autor:
Jingwei Li, Taylor Bolt, Danilo Bzdok, Jason S. Nomi, B. T. Thomas Yeo, R. Nathan Spreng, Lucina Q. Uddin
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Abstract The global signal in resting-state functional MRI data is considered to be dominated by physiological noise and artifacts, yet a growing literature suggests that it also carries information about widespread neural activity. The biological re
Externí odkaz:
https://doaj.org/article/e6523054ec9a439088a8c60031827fe1
Publikováno v:
PLoS Biology, Vol 19, Iss 7, p e3001313 (2021)
Methods for data analysis in the biomedical, life, and social (BLS) sciences are developing at a rapid pace. At the same time, there is increasing concern that education in quantitative methods is failing to adequately prepare students for contempora
Externí odkaz:
https://doaj.org/article/4fbee725c66e454fb82077cb2ff81a8e
Publikováno v:
Network Neuroscience, Vol 2, Iss 1, Pp 1-22 (2018)
Contemporary functional neuroimaging research has increasingly focused on characterization of intrinsic or “spontaneous” brain activity. Analysis of intrinsic activity is often contrasted with analysis of task-evoked activity that has traditional
Externí odkaz:
https://doaj.org/article/8f179d222b92459cba3b5fa9f431cf25
Autor:
Taylor Bolt, Jason S. Nomi, Danilo Bzdok, Jorge A. Salas, Catie Chang, B. T. Thomas Yeo, Lucina Q. Uddin, Shella D. Keilholz
Publikováno v:
Nature Neuroscience. 25:1093-1103
SummaryResting-state functional MRI has yielded seemingly disparate insights into large-scale organization of the human brain. The brain’s large-scale organization can be divided into two broad categories - zero-lag representations of functional co
Autor:
Taylor Bolt, Shiyu Wang, Jason S. Nomi, Roni Setton, Benjamin P. Gold, Blaise deB.Frederick, R Nathan Spreng, Shella D. Keilholz, Lucina Q. Uddin, Catie Chang
Global signal fluctuations are a dominant source of variance in spontaneous BOLD activity. These brain-wide signals co-occur with respiratory and other physiological changes. An often-overlooked possibility is that these physiological associations wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5360bffc09b596fbaa14be25092b02c
https://doi.org/10.1101/2023.01.19.524818
https://doi.org/10.1101/2023.01.19.524818
Autor:
Jason S. Nomi, Danilo Bzdok, Jingwei Li, Taylor Bolt, Salome Kornfeld, Zachary T. Goodman, B.T. Thomas Yeo, R. Nathan Spreng, Lucina Q. Uddin
Global signal regression effectively mitigates noise in fMRI data but also inadvertently removes neural signals of interest. We show distinct linear and quadratic lifespan global signal topography associations with age. We also show that global signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e6af67db652c4ede64553122bbe07d7
https://doi.org/10.1101/2022.07.27.501804
https://doi.org/10.1101/2022.07.27.501804
Publikováno v:
PLoS Biology, Vol 19, Iss 7, p e3001313 (2021)
PLoS Biology
PLoS Biology
Methods for data analysis in the biomedical, life, and social (BLS) sciences are developing at a rapid pace. At the same time, there is increasing concern that education in quantitative methods is failing to adequately prepare students for contempora
Autor:
Taylor, Bolt, Jason S, Nomi, Danilo, Bzdok, Jorge A, Salas, Catie, Chang, B T, Thomas Yeo, Lucina Q, Uddin, Shella D, Keilholz
Publikováno v:
Nature neuroscience. 25(8)
Resting-state functional magnetic resonance imaging (MRI) has yielded seemingly disparate insights into large-scale organization of the human brain. The brain's large-scale organization can be divided into two broad categories: zero-lag representatio
Methods for data analysis in the biomedical, life and social sciences are developing at a rapid pace. At the same time, there is increasing concern that education in quantitative methods is failing to adequately prepare students for contemporary rese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f638f617f286babffac0be34c9538be3
https://doi.org/10.1101/2020.12.02.408989
https://doi.org/10.1101/2020.12.02.408989
Autor:
Steven R. Anderson, Claire E. Ashton-James, Taylor Bolt, Maria M. Llabre, Elizabeth A. Reynolds Losin, Joanna E. Witkin
Publikováno v:
Neuropsychologia
The relationship between pain and cognition has primarily been investigated in patients with chronic pain and healthy participants undergoing experimental pain. Recently, there has been interest in understanding the disruptive effects of non-experime