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Browsing by Author "Fernandes, Henrique M."
Now showing items 1-9 of 9
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Padilla, Nelly; Saenger Amoore, Victor Manuel; Van Hartevelt, Tim J.; Fernandes, Henrique M.; Lennartsson, Finn; Andersson, Jesper L. R.; Kringelbach, Morten L.; Deco, Gustavo; Åden, Ulrika (Oxford University Press, 2019)The brain operates at a critical point that is balanced between order and disorder. Even during rest, unstable periods of random behavior are interspersed with stable periods of balanced activity patterns that support ...
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Fernandes, Henrique M.; Cabral, Joana; Van Hartevelt, Tim J.; Lord, Louis-David; Gleesborg, Carsten; Møller, Arne; Deco, Gustavo; Whybrow, Peter C.; Petrovic, Predrag; James, Anthony C.; Kringelbach, Morten L. (Nature Research, 2019)Bipolar disorder (BD) has been linked to disrupted structural and functional connectivity between prefrontal networks and limbic brain regions. Studies of patients with pediatric bipolar disorder (PBD) can help elucidate ...
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Vohryzek, Jakub; Cabral, Joana; Castaldo, Francesca; Sanz-Perl, Yonatan; Lord, Louis-David; Fernandes, Henrique M.; Litvak, Vladimir; Kringelbach, Morten L.; Deco, Gustavo (Elsevier, 2023)Traditionally, in neuroimaging, model-free analyses are used to find significant differences between brain states via signal detection theory. Depending on the a priori assumptions about the underlying data, different ...
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Bettinardi, Ruggero G.; Deco, Gustavo; Karlaftis, Vasileios M.; Van Hartevelt, Tim J.; Fernandes, Henrique M.; Kourtzi, Zoe; Kringelbach, Morten L.; Zamora-López, Gorka (American Institute of Physics (AIP), 2017)Intrinsic brain activity is characterized by highly organized co-activations between different regions, forming clustered spatial patterns referred to as resting-state networks. The observed co-activation patterns are ...
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Insights into brain architectures from the homological scaffolds of functional connectivity networksLord, Louis-David; Expert, Paul; Fernandes, Henrique M.; Giovanni, Petri; Van Hartevelt, Tim J.; Vaccarino, Francesco; Deco, Gustavo; Turkheimer, Federico; Kringelbach, Morten L. (Frontiers, 2016)In recent years, the application of network analysis to neuroimaging data has provided useful insights about the brain's functional and structural organization in both health and disease. This has proven a significant ...
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Fernandes, Henrique M.; Van Hartevelt, Tim J.; Boccard, Sandra G J; Owen, Sarah L. F.; Cabral, Joana; Deco, Gustavo; Green, Alex L.; FitzGerald, James J.; Aziz, Tipu Z.; Kringelbach, Morten L. (Institute of Physics (IOP), 2015)Deep brain stimulation (DBS) is a remarkably effective clinical tool, used primarily for movement/ndisorders. DBS relies on precise targeting of specific brain regions to rebalance the oscillatory behaviour/nof whole-brain ...
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Cabral, Joana; Fernandes, Henrique M.; Van Hartevelt, Tim J.; James, Anthony C.; Kringelbach, Morten L.; Deco, Gustavo (American Institute of Physics (AIP), 2013)The neuropathology of schizophrenia remains unclear. Some insight has come from modern/nneuroimaging techniques, which offer an unparalleled opportunity to explore/nin vivo/nthe structure/nand function of the brain. Using ...
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Deco, Gustavo; Van Hartevelt, Tim J.; Fernandes, Henrique M.; Stevner, Angus B. A.; Kringelbach, Morten L. (Elsevier, 2017)In order to promote survival through flexible cognition and goal-directed behaviour, the brain has to optimize segregation and integration of information into coherent, distributed dynamical states. Certain organizational ...
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Saenger Amoore, Victor Manuel; Kahan, Joshua; Foltynie, Tom; Friston, Karl; Aziz, Tipu Z.; Green, Alex L.; Van Hartevelt, Tim J.; Cabral, Joana; Stevner, Angus B. A.; Fernandes, Henrique M.; Mancini, Laura; Thornton, John; Yousry, Tarek; Limousin, Patricia; Zrinzo, Ludvic; Hariz, Marwan; Marques, Paulo; Sousa, Nuno; Kringelbach, Morten L.; Deco, Gustavo (Nature Research, 2017)Deep brain stimulation (DBS) for Parkinson’s disease is a highly effective treatment in controlling otherwise debilitating symptoms. Yet the underlying brain mechanisms are currently not well understood. Whole-brain ...
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