DPG Phi
Verhandlungen
Verhandlungen
DPG

Dresden 2020 – wissenschaftliches Programm

Die DPG-Frühjahrstagung in Dresden musste abgesagt werden! Lesen Sie mehr ...

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 9: Partial Synchronization Patterns in Neuronal Networks I (Focus Session joint with DY / SOE / BP) (joint session SOE/DY)

SOE 9.2: Topical Talk

Mittwoch, 18. März 2020, 15:30–16:00, GÖR 226

Brain functional connectivity asymmetry — •Jaroslav Hlinka — Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic

The brain is one of the iconic complex systems with a very intricate structure of interconnections and interactions among its many parts. It is also commonly studied via application of graph-theoretical approaches [1], while the representative graph can be defined using the functional connectivity approach: two brain regions are considered connected to an extent given by the strength of their activity synchronization, assessed by the statistical dependence between their activity as sampled over time, typicaly by linear correlation [2]. The human brain is organized into two almost symmetrical hemispheres, with the hemispheres containing further subdivision into key subnetworks/modules. However, there is some level of asymmetry that is known to be functionally relevant; in the current contribution we provide evidence that the left hemisphere functional connectivity, experimentally observed in resting state by functional magnetic resonance imaging, has more modular structure. We further discuss the origin of this asymmetry in structure or dynamics [3], its functional relevance and robustness with respect to methodological choices.

[1] Bullmore, E. et al. Nature Reviews Neuroscience, 2009, 10, 186-198

[2] Hlinka, J. et al. NeuroImage, 2011, 54, 2218-2225

[3] Hlinka, J. & Coombes, S., European Journal of Neuroscience, 2012, 36, 2137-2145

100% | Mobil-Ansicht | English Version | Kontakt/Impressum/Datenschutz
DPG-Physik > DPG-Verhandlungen > 2020 > Dresden