Network Neuroscience, a scientific discipline positioned on the border between brain sciences and physical network theory, has recently been introduced as promising approach into psychological research. This symposium presents four studies that apply network neuroscience methods to different brain imaging modalities to gain insights into various aspects of the human mind. After a brief introduction into basics of network theory, Sebastian Markett reports results from a combined task- and resting-state fMRI study (N = 78) that challenges key assumptions of attention network theory. The second talk transitions from specific cognitive processes to individual differences in cognitive ability. Kirsten Hilger presents results from two fMRI studies (N = 281) suggesting brain network dynamics, especially in the dorsal attention network, to be associated with individual variations in general intelligence. Moreover, specific features of network dynamics are derived that allow to predict individual intelligence scores in independent subjects (N = 831) from only 5% of fMRI resting-state data. Erhan Genc demonstrates the predictive power of structural network architecture derived from DTI (N = 324) for individual variations in knowledge. Finally, Urs Braun introduces network approaches to the investigation of clinical populations. Different concepts of network dysfunction are presented with an exemplary focus on schizophrenia and dopamine function. Finally, opportunities and limits of network neuroscience approaches are discussed within an open panel.

Zeitfenster der Veranstaltung (1)

Perspectives in neuroscience
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Symposium

Chair(s): Kirsten Hilger (Würzburg), Sebastian Markett (Berlin)

Presenter(s): Sebastian Markett (Berlin), Kirsten Hilger (Würzburg), Erhan Genç (Bochum), Urs Braun (Mannheim; Heidelberg)

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