Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Alina Tetereva"'
Autor:
Alina Tetereva, Narun Pat
Publikováno v:
eLife, Vol 12 (2024)
One well-known biomarker candidate that supposedly helps capture fluid cognition is Brain Age, or a predicted value based on machine-learning models built to predict chronological age from brain MRI. To formally evaluate the utility of Brain Age for
Externí odkaz:
https://doaj.org/article/adcb1d54f98e41ad90b4ff686853bb16
Publikováno v:
NeuroImage, Vol 263, Iss , Pp 119588- (2022)
Capturing individual differences in cognition is central to human neuroscience. Yet our ability to estimate cognitive abilities via brain MRI is still poor in both prediction and reliability. Our study tested if this inability can be improved by inte
Externí odkaz:
https://doaj.org/article/b035ea3e3c6b496d98eadf46cdc80247
Publikováno v:
Neuroimage: Reports, Vol 1, Iss 3, Pp 100035- (2021)
The brain at wakefulness is active even in the absence of goal-directed behavior or salient stimuli. However, patterns of this resting-state (RS) activity can undergo long-term alterations following exposure to preceding meaningful stimuli. This stud
Externí odkaz:
https://doaj.org/article/686759c0dc384caf94ce936c8a39480b
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Recently, the dynamic properties of brain activity rather than its stationary values have attracted more interest in clinical applications. It has been shown that brain signals exhibit scale-free dynamics or long-range temporal correlations (LRTC) th
Externí odkaz:
https://doaj.org/article/94f3599ec1c942b8820e4ce3ce97a8bf
Autor:
Galina Portnova, Irina Girzhova, Daria Filatova, Vitaliy Podlepich, Alina Tetereva, Olga Martynova
Publikováno v:
Brain Sciences, Vol 10, Iss 10, p 720 (2020)
In this study, we have reported a correlation between structural brain changes and electroencephalography (EEG) in response to tactile stimulation in ten comatose patients after severe traumatic brain injury (TBI). Structural morphometry showed a dec
Externí odkaz:
https://doaj.org/article/8929ebf8ce3d4bd4b820e55584cad7a0
Autor:
Galina V. Portnova, Alina Tetereva, Vladislav Balaev, Mikhail Atanov, Lyudmila Skiteva, Vadim Ushakov, Alexey Ivanitsky, Olga Martynova
Publikováno v:
Frontiers in Human Neuroscience, Vol 11 (2018)
Concurrent EEG and fMRI acquisitions in resting state showed a correlation between EEG power in various bands and spontaneous BOLD fluctuations. However, there is a lack of data on how changes in the complexity of brain dynamics derived from EEG refl
Externí odkaz:
https://doaj.org/article/25cfa1412edc4d56a2434b9212257b99
Autor:
Alina Tetereva, Narun Pat
For decades, neuroscientists have been on a quest to search for a biomarker that can help capture age-related cognitive decline. One well-known candidate is Brain Age, or a predicted value based on machine-learning models built to predict chronologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42808b1197ac880fe6e318b08e6fa3bd
https://doi.org/10.7554/elife.87297
https://doi.org/10.7554/elife.87297
Publikováno v:
Психология. Журнал Высшей школы экономики. 17:592-607
Our research aims to study the difference in resting-state during EEG and fMRI experimental conditions, each of which has its own peculiarities. Therefore, we conducted EEG and fMRI experiments very close in terms of conditions, during which 108 and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b057f39bcf18b05a7cf0cc207e2372c
https://doi.org/10.17323/1813-8918-2020-3-592-607
https://doi.org/10.17323/1813-8918-2020-3-592-607
Autor:
Galina V. Portnova, Alina Tetereva, A. M. Ivanitsky, Vadim L. Ushakov, Olga Martynova, V.V. Balaev
Publikováno v:
International Journal of Psychophysiology. 149:15-24
Altered functional connectivity of the amygdala has been observed in a resting state immediately after fear learning, even one day after aversive exposure. The persistence of increased resting-state functional connectivity (rsFC) of the amygdala has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ff99445a1a1f168653bf1791302adda
https://doi.org/10.1016/j.ijpsycho.2020.01.002
https://doi.org/10.1016/j.ijpsycho.2020.01.002
Capturing individual differences in cognition is central to human neuroscience. Yet our ability to estimate cognitive abilities via brain MRI is still poor in both prediction and reliability. Our study tested if this inability can be improved by inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::628736f94fe0cc1d782f6aaa7e724a47
https://doi.org/10.1101/2021.10.31.466638
https://doi.org/10.1101/2021.10.31.466638