Schwiedrzik, Caspar

[["dc.bibliographiccitation.firstpage","e1002245"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","PLoS Biology"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Zarco, Wilbert"],["dc.contributor.author","Everling, Stefan"],["dc.contributor.author","Freiwald, Winrich A"],["dc.date.accessioned","2020-09-14T07:25:12Z"],["dc.date.available","2020-09-14T07:25:12Z"],["dc.date.issued","2015"],["dc.description.abstract","Faces transmit a wealth of social information. How this information is exchanged between face-processing centers and brain areas supporting social cognition remains largely unclear. Here we identify these routes using resting state functional magnetic resonance imaging in macaque monkeys. We find that face areas functionally connect to specific regions within frontal, temporal, and parietal cortices, as well as subcortical structures supporting emotive, mnemonic, and cognitive functions. This establishes the existence of an extended face-recognition system in the macaque. Furthermore, the face patch resting state networks and the default mode network in monkeys show a pattern of overlap akin to that between the social brain and the default mode network in humans: this overlap specifically includes the posterior superior temporal sulcus, medial parietal, and dorsomedial prefrontal cortex, areas supporting high-level social cognition in humans. Together, these results reveal the embedding of face areas into larger brain networks and suggest that the resting state networks of the face patch system offer a new, easily accessible venue into the functional organization of the social brain and into the evolution of possibly uniquely human social skills."],["dc.identifier.doi","10.1371/journal.pbio.1002245"],["dc.identifier.pmid","26348613"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67678"],["dc.language.iso","en"],["dc.relation.eissn","1545-7885"],["dc.relation.issn","1545-7885"],["dc.title","Face Patch Resting State Networks Link Face Processing to Social Cognition"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","89-97.e4"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Neuron"],["dc.bibliographiccitation.lastpage","97.e4"],["dc.bibliographiccitation.volume","96"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Freiwald, Winrich A"],["dc.date.accessioned","2020-09-14T07:25:23Z"],["dc.date.available","2020-09-14T07:25:23Z"],["dc.date.issued","2017-09-27"],["dc.description.abstract","Theories like predictive coding propose that lower-order brain areas compare their inputs to predictions derived from higher-order representations and signal their deviation as a prediction error. Here, we investigate whether the macaque face-processing system, a three-level hierarchy in the ventral stream, employs such a coding strategy. We show that after statistical learning of specific face sequences, the lower-level face area ML computes the deviation of actual from predicted stimuli. But these signals do not reflect the tuning characteristic of ML. Rather, they exhibit identity specificity and view invariance, the tuning properties of higher-level face areas AL and AM. Thus, learning appears to endow lower-level areas with the capability to test predictions at a higher level of abstraction than what is afforded by the feedforward sweep. These results provide evidence for computational architectures like predictive coding and suggest a new quality of functional organization of information-processing hierarchies beyond pure feedforward schemes."],["dc.identifier.doi","10.1016/j.neuron.2017.09.007"],["dc.identifier.pmid","28957679"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67680"],["dc.language.iso","en"],["dc.relation.eissn","1097-4199"],["dc.relation.issn","0896-6273"],["dc.title","High-Level Prediction Signals in a Low-Level Area of the Macaque Face-Processing Hierarchy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","139-147"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Comparative Medicine"],["dc.bibliographiccitation.volume","68"],["dc.contributor.author","Gorman, Andrew W"],["dc.contributor.author","Deh, Kofi M"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","White, Julie R"],["dc.contributor.author","Groman, Ernest Victor"],["dc.contributor.author","Fisher, Clark A"],["dc.contributor.author","Gillen, Kelly M"],["dc.contributor.author","Spincemaille, Pascal"],["dc.contributor.author","Rasmussen, Skye"],["dc.contributor.author","Prince, Martin R"],["dc.contributor.author","Voss, Henning U"],["dc.contributor.author","Freiwald, Winrich A"],["dc.contributor.author","Wang, Yi"],["dc.date.accessioned","2020-09-14T07:26:08Z"],["dc.date.available","2020-09-14T07:26:08Z"],["dc.date.issued","2018-04"],["dc.description.abstract","The purpose of this study is to determine the effects of high cumulative doses of ultra-small paramagnetic iron oxide (USPIO) used in neuroimaging studies. We intravenously administered 8 mg/kg of 2 USPIO compounds daily for 4 wk to male Sprague-Dawley rats (Crl:SD). Multiecho gradient-echo MRI, serum iron levels, and histology were performed at the end of dosing and after a 7-d washout period. R2 maps and quantitative susceptibility maps (QSM) were generated from multiecho gradient-echo data. R2 maps and QSM showed iron accumulation in brain ventricles on MR images acquired at the 4- and 5-wk time points. Estimates from QSM data showed ventricular iron concentration was equal to or higher than serum iron concentration. Histologic analysis revealed choroid plexus hemosiderosis and midbrain vacuolation, without iron deposition in brain parenchyma. Serum iron levels increased with administration of both compounds, and a 7-d washout period effectively reduced serum iron levels of one but not both of the compounds. High cumulative doses from multiple, frequent administrations of USPIO can lead to iron deposition in brain ventricles, resulting in persistent signal loss on T2 -weighted images. Techniques such as QSM are helpful in quantifying iron biodistribution in this situation."],["dc.identifier.pmid","29663939"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67686"],["dc.language.iso","en"],["dc.relation.issn","1532-0820"],["dc.title","Brain Iron Distribution after Multiple Doses of Ultra-small Superparamagnetic Iron Oxide Particles in Rats"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]