Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jennifer M Walz"'
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e91321 (2014)
Pupillary measures have been linked to arousal and attention as well as activity in the brainstem's locus coeruleus norepinephrine (LC-NE) system. Similarly, there is evidence that evoked EEG responses, such as the P3, might have LC-NE activity as th
Externí odkaz:
https://doaj.org/article/6003776b7747414eaaf898a3fe5285f2
Publikováno v:
PLoS ONE, Vol 8, Iss 11, p e79271 (2013)
Multivariate decoding models are increasingly being applied to functional magnetic imaging (fMRI) data to interpret the distributed neural activity in the human brain. These models are typically formulated to optimize an objective function that maxim
Externí odkaz:
https://doaj.org/article/6647ae6ec80e4d0d944725f3c26e5936
Autor:
Tao Tu, Truman R. Brown, Jennifer M. Walz, Paul Sajda, Robin I. Goldman, Jordan Muraskin, Bryan Conroy
Publikováno v:
NeuroImage. 180:211-222
Perception and cognition in the brain are naturally characterized as spatiotemporal processes. Decision-making, for example, depends on coordinated patterns of neural activity cascading across the brain, running in time from stimulus to response and
Autor:
Jennifer M. Walz, David F. Abbott, Andrew Zalesky, Graeme D. Jackson, David N. Vaughan, Amir Omidvarnia, M. Pedersen
Publikováno v:
Human Brain Mapping. 38:5356-5374
Simultaneous scalp EEG-fMRI recording is a noninvasive neuroimaging technique for combining electrophysiological and hemodynamic aspects of brain function. Despite the time-varying nature of both measurements, their relationship is usually considered
Autor:
Amir Omidvarnia, Jennifer M. Walz, M. Pedersen, Evan K. Curwood, Graeme D. Jackson, Genevieve Rayner
Publikováno v:
NeuroImage: Clinical, Vol 15, Iss, Pp 209-214 (2017)
NeuroImage : Clinical
NeuroImage : Clinical
Focal epilepsy is characterised by paroxysmal events, reflecting changes in underlying local brain networks. To capture brain network activity at the maximal temporal resolution of the acquired functional magnetic resonance imaging (fMRI) data, we ha
Autor:
Amir Omidvarnia, Jennifer M. Walz, David N. Vaughan, David F. Abbott, M. Pedersen, Graeme D. Jackson
Publikováno v:
Hum Brain Mapp
Dynamic functional brain connectivity analysis is a fast expanding field in computational neuroscience research with the promise of elucidating brain network interactions. Sliding temporal window based approaches are commonly used in order to explore
Autor:
Truman R. Brown, Michael Carapezza, Jordan Muraskin, Paul Sajda, Robin I. Goldman, Jennifer M. Walz
Publikováno v:
NeuroImage. 102:229-239
Focused attention continuously and inevitably fluctuates, and to completely understand the mechanisms responsible for these modulations it is necessary to localize the brain regions involved. During a simple visual oddball task, neural responses meas
Publikováno v:
Network Neuroscience, Vol 1, Iss 2, Pp 100-115 (2017)
The brain operates in a complex way. The temporal complexity underlying macroscopic and spontaneous brain network activity is still to be understood. In this study, we explored the brain’s complexity by combining functional connectivity, graph theo
Autor:
Amir, Omidvarnia, Mangor, Pedersen, David N, Vaughan, Jennifer M, Walz, David F, Abbott, Andrew, Zalesky, Graeme D, Jackson
Publikováno v:
Hum Brain Mapp
Simultaneous scalp EEG‐fMRI recording is a noninvasive neuroimaging technique for combining electrophysiological and hemodynamic aspects of brain function. Despite the time‐varying nature of both measurements, their relationship is usually consid
Autor:
Bryan Conroy, Truman R. Brown, Jennifer M. Walz, Jordan Muraskin, Paul Sajda, Robin I. Goldman
Perceptual decisions depend on coordinated patterns of neural activity cascading across the brain, running in time from stimulus to response and in space from primary sensory regions to the frontal lobe. Measuring this cascade and how it flows throug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d742f0ac0e621037d1c816de0b77d39
https://doi.org/10.1101/050856
https://doi.org/10.1101/050856