Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Claudinei E. Biazoli"'
Autor:
Lucas R. Trambaiolli, Raymundo Cassani, Claudinei E. Biazoli, André M. Cravo, João R. Sato, Tiago H. Falk
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
Neurofeedback has been suggested as a potential complementary therapy to different psychiatric disorders. Of interest for this approach is the prediction of individual performance and outcomes. In this study, we applied functional connectivity-based
Externí odkaz:
https://doaj.org/article/99e1e6918ff445f582bb008cee8cbc1d
Autor:
Fernanda L. Ribeiro, Felipe R. C. dos Santos, João R. Sato, Walter H. L. Pinaya, Claudinei E. Biazoli
Publikováno v:
Network Neuroscience, Vol 5, Iss 2, Pp 527-548 (2021)
AbstractRecent evidence suggests that the human functional connectome is stable at different timescales and is unique. These characteristics posit the functional connectome not only as an individual marker but also as a powerful discriminatory measur
Externí odkaz:
https://doaj.org/article/7ec304005baf4af0939e77aacc90b537
Autor:
Fiona S. McEwen, Claudinei E. Biazoli, Cassandra M. Popham, Patricia Moghames, Dahlia Saab, John Fayyad, Elie Karam, Tania Bosqui, Michael Pluess
Publikováno v:
Nature Mental Health. 1:135-144
Millions of people are currently displaced. About half of them are children who are at increased risk of mental health problems. While some risk factors such as war exposure are well established, less is known regarding the effects of the local refug
Autor:
Cândida S. F. Barreto, Rickson C. Mesquita, Abrahão Fontes Baptista, João Ricardo Sato, Claudinei E. Biazoli, Mateus Silvestrin, Mateus G. Nogueira
Publikováno v:
Brain Imaging and Behavior. 16:1563-1574
Attention is a basic human function underlying every other cognitive process. It is demonstrated in the functional Magnetic Resonance Imaging literature that frontoparietal networks are involved with attentive performance while default mode networks
Publikováno v:
Social and Affective Neuroscience of Everyday Human Interaction ISBN: 9783031086502
Machine learning (ML) is a subarea of artificial intelligence which uses the induction approach to learn based on previous experiences and make conclusions about new inputs (Mitchell, Machine learning. McGraw Hill, 1997). In the last decades, the use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::820c873148b5e1b2597990f46c22f3b2
https://doi.org/10.1007/978-3-031-08651-9_13
https://doi.org/10.1007/978-3-031-08651-9_13
Publikováno v:
Experimental Brain Research. 239:161-173
Visual motion stimuli can sometimes distort our perception of time. This effect is dependent on the apparent speed of the moving stimulus, where faster stimuli are usually perceived lasting longer than slower stimuli. Although it has been shown that
Publikováno v:
NER
Neurofeedback has received growing attention due to its potential to relieve symptoms of psychiatric disorders. However, the neurocognitive mechanisms involved in self-regulating neurofeedback learning remain unclear. Herein, we investigate how the c
Autor:
André Zugman, Nicolas Crossley, João Ricardo Sato, Andrea Parolin Jackowski, Luis Augusto Rohde, Luciana Monteiro Moura, Rodrigo A. Bressan, Felipe Almeida Picon, Claudinei E. Biazoli, Euripedes Constantino Miguel, Marcelo Q. Hoexter, Edson Amaro
Publikováno v:
Brain Connectivity. 9:379-387
The fractional amplitude of low-frequency fluctuations (fALFFs) of the BOLD signal have been successfully applied as exploratory tools in neuroimaging. This metric has been useful in mapping brain functional changes in many clinical populations. Howe
Publikováno v:
EMBC
There is a recent interest in finding neurophysiological biomarkers which will facilitate the diagnosis and understanding of the neural basis of different psychiatric disorders. In this paper, we evaluated the resting-state global EEG connectivity as
Autor:
Kátia Monte-Silva, André Fonseca, Rodrigo Pegado, Claudinei E. Biazoli, Katia Nunes Sá, Faranak Farzan, Zeinab Esmaeilpour, Luciane Aparecida Moscaleski, Edgard Morya, João Ricardo Sato, Jeffrey M. Hausdorff, Tommaso Bocci, Eva Mezger, Raaj Chatterjee, Alexandre Hideki Okano, Marom Bikson, Clarice Tanaka, Abrahão Fontes Baptista, Marcelo S. Caetano, Daniel Gomes da Silva Machado, Andre R. Brunoni, Li Min Li
Publikováno v:
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation, Vol 16, Iss 1, Pp 1-29 (2019)
Journal of NeuroEngineering and Rehabilitation, Vol 16, Iss 1, Pp 1-29 (2019)
Transcranial Direct Current Stimulation (tDCS) is a non-invasive technique used to modulate neural tissue. Neuromodulation apparently improves cognitive functions in several neurologic diseases treatment and sports performance. In this study, we pres