scholarly journals The Role of Electroencephalography Electrical Reference in the Assessment of Functional Brain–Heart Interplay: From Methodology to User Guidelines

Author(s):  
Diego Candia-Rivera ◽  
Vincenzo Catrambone ◽  
Gaetano Valenza
Keyword(s):  
2018 ◽  
Vol 15 (146) ◽  
pp. 20180514 ◽  
Author(s):  
Federico Battiston ◽  
Jeremy Guillon ◽  
Mario Chavez ◽  
Vito Latora ◽  
Fabrizio De Vico Fallani

What is the core of the human brain is a fundamental question that has been mainly addressed by studying the anatomical connections between differently specialized areas, thus neglecting the possible contributions from their functional interactions. While many methods are available to identify the core of a network when connections between nodes are all of the same type, a principled approach to define the core when multiple types of connectivity are allowed is still lacking. Here, we introduce a general framework to define and extract the core–periphery structure of multi-layer networks by explicitly taking into account the connectivity patterns at each layer. We first validate our algorithm on synthetic networks of different size and density, and with tunable overlap between the cores at different layers. We then use our method to merge information from structural and functional brain networks, obtaining in this way an integrated description of the core of the human connectome. Results confirm the role of the main known cortical and subcortical hubs, but also suggest the presence of new areas in the sensori-motor cortex that are crucial for intrinsic brain functioning. Taken together these findings provide fresh evidence on a fundamental question in modern neuroscience and offer new opportunities to explore the mesoscale properties of multimodal brain networks.


2007 ◽  
Vol 7 ◽  
pp. 1708-1714 ◽  
Author(s):  
Nicholas Hon

A consistently observed pattern in the functional brain imaging literature is that of joint frontal and parietal activation.  Because this pattern of activation has been observed under many different experimental conditions and when different cognitive domains have been tested, it is likely that frontoparietal activity plays a very general role in cognition.  This article considers one such possible role – the representation of behaviourally relevant information.


2020 ◽  
Vol 19 ◽  
pp. e495-e496
Author(s):  
P. Abreu-Mendes ◽  
P. Pereira ◽  
L. Vale ◽  
D. Da Costa ◽  
G.B. Silva ◽  
...  

2014 ◽  
Vol 10 ◽  
pp. P712-P712
Author(s):  
Piero Antuono ◽  
Zhan Xu ◽  
Deborah Gustafson ◽  
Gang Chen ◽  
Jennifer Jones ◽  
...  

1999 ◽  
Vol 13 (Supplement) ◽  
pp. S91-101
Author(s):  
Etsuro Mori ◽  
Kazunari Ishii ◽  
Mamoru Hashimoto ◽  
Toru Imamura ◽  
Nobutsugu Hirono ◽  
...  

1997 ◽  
Vol 22 (5) ◽  
pp. 348
Author(s):  
Simin Dadparvar ◽  
Jingbo Wang ◽  
Muhammad M. Gillan ◽  
Edward Bartolic ◽  
Sandra P. Koffler ◽  
...  

2018 ◽  
Author(s):  
Loreen Tisdall ◽  
Renato Frey ◽  
Andreas Horn ◽  
Dirk Ostwald ◽  
Lilla Horvath ◽  
...  

Maladaptive risk taking can have severe individual and societal consequences, thus individual differences are prominent targets for intervention and prevention. How to capture individual differences in risk taking, however, presents a major challenge because convergence between measures is mostly low. Considering that functional brain markers are being examined for their potential to account for various risk-taking related outcomes, we urgently need to establish the role of risk-taking measures for establishing reliable brain-outcome associations. To address this issue, we analyzed within-participant neuroimaging data for two widely used risk-taking measures collected from the imaging subsample of the Basel–Berlin Risk Study (N = 116 young human adults), and computed brain-outcome associations within/out-of-measure as well as within/out-of-session. Although we observed a regionally-specific convergence of group-level activation differences for the two imaging measures in the nucleus accumbens, one of the core brain regions associated with risk taking, results from our individual differences analyses suggest that (1) individual differences in brain activation are not preserved between measures, and (2) the success of brain-outcome associations for risk taking is highly dependent on the measures used to capture neural and behavioral individual differences. Our results help to better filter risk- taking measures for their potential to establish brain markers for intervention or prevention purposes.


2017 ◽  
Vol 18 (7) ◽  
pp. 757-777 ◽  
Author(s):  
Shannon M. Smith ◽  
Robert H. Dworkin ◽  
Dennis C. Turk ◽  
Ralf Baron ◽  
Michael Polydefkis ◽  
...  

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