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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Activity flow underlying abnormalities in brain activations and cognition in schizophrenia</dc:title><dc:creator>Hearne,	Luke J.	(Avtor)
	</dc:creator><dc:creator>Mill,	Ravi D.	(Avtor)
	</dc:creator><dc:creator>Keane,	Brian P.	(Avtor)
	</dc:creator><dc:creator>Repovš,	Grega	(Avtor)
	</dc:creator><dc:creator>Anticevic,	Alan	(Avtor)
	</dc:creator><dc:creator>Cole,	Michael W.	(Avtor)
	</dc:creator><dc:subject>activity flow</dc:subject><dc:subject>schizophrenia</dc:subject><dc:subject>brain</dc:subject><dc:subject>neurosciences</dc:subject><dc:subject>cognitive impairment</dc:subject><dc:subject>cognitive dysfunction</dc:subject><dc:subject>functional connectivity</dc:subject><dc:subject>neural networks</dc:subject><dc:subject>brain networks</dc:subject><dc:subject>functional magnetic resonance imaging fMRI</dc:subject><dc:subject>working memory</dc:subject><dc:description>Cognitive dysfunction is a core feature of many brain disorders such as schizophrenia (SZ), and has been linked to both aberrant brain functional connectivity (FC) and aberrant cognitive brain activations. We propose that aberrant network activity flow over FC pathways leads to altered cognitive activations that produce cognitive dysfunction in SZ. We tested this hypothesis using activity flow mapping - an approach that models the movement of task-related activity between brain regions as a function of FC. Using fMRI data from SZ individuals and healthy controls during a working memory task, we found that activity flow models accurately predict aberrant cognitive activations across multiple brain networks. Within the same framework, we simulated a connectivity-based clinical intervention, predicting specific treatments that normalized brain activations and behavior in independent patients. Our results suggest that dysfunctional task-evoked activity flow is a large-scale network mechanism contributing to the emergence of cognitive dysfunction in SZ.</dc:description><dc:date>2021</dc:date><dc:date>2022-02-16 09:51:18</dc:date><dc:type>Neznano</dc:type><dc:identifier>134985</dc:identifier><dc:identifier>UDK: 159.91:616.895.8</dc:identifier><dc:identifier>ISSN pri članku: 2375-2548</dc:identifier><dc:identifier>DOI: 10.1126/sciadv.abf2513</dc:identifier><dc:identifier>COBISS_ID: 48459779</dc:identifier><dc:language>sl</dc:language></metadata>
