scholarly journals Contrast surround suppression in people with psychosis: A behavioral and 7 tesla fMRI study

2021 ◽  
Vol 21 (9) ◽  
pp. 2047
Author(s):  
Hannah R. Moser ◽  
Li Shen Chong ◽  
Rohit S. Kamath ◽  
Scott R. Sponheim ◽  
Michael-Paul Schallmo
2016 ◽  
Vol 16 (10) ◽  
pp. 19 ◽  
Author(s):  
Michael-Paul Schallmo ◽  
Andrea N. Grant ◽  
Philip C. Burton ◽  
Cheryl A. Olman

2011 ◽  
Vol 11 (11) ◽  
pp. 778-778 ◽  
Author(s):  
M. Saenz ◽  
W. Van Der Zwaag ◽  
J. P. Marques ◽  
R. S. Frackowiak ◽  
S. Clarke ◽  
...  

2012 ◽  
Vol 34 (8) ◽  
pp. 1882-1895 ◽  
Author(s):  
Esther Kuehn ◽  
Robert Trampel ◽  
Karsten Mueller ◽  
Robert Turner ◽  
Simone Schütz-Bosbach

2012 ◽  
Vol 25 (2) ◽  
pp. 125-128 ◽  
Author(s):  
Wietske van der Zwaag ◽  
Sandra E. Da Costa ◽  
Nicole R. Zürcher ◽  
Reginald B. Adams ◽  
Nouchine Hadjikhani
Keyword(s):  
7 Tesla ◽  

2021 ◽  
Author(s):  
Steven Miletic ◽  
Max C Keuken ◽  
Martijn Mulder ◽  
Robert Trampel ◽  
Gilles de Hollander ◽  
...  

The subthalamic nucleus (STN) is a small, subcortical brain structure. It is a target for deep brain stimulation, an invasive treatment that reduces motor symptoms of Parkinson's disease. Side effects of DBS are commonly explained using the tripartite model of STN organization, which proposes three functionally distinct subregions in the STN specialized in cognitive, limbic, and motor processing. However, evidence for the tripartite model exclusively comes from anatomical studies and functional studies using clinical patients. Here, we provide the first experimental tests of the tripartite model in healthy volunteers using ultra-high field 7 Tesla (T) functional magnetic resonance imaging (fMRI). 34 participants performed a random-dot motion decision-making task with a difficulty manipulation and a choice payoff manipulation aimed to differentially affect cognitive and limbic networks. Moreover, participants responded with their left and right index finger, differentially affecting motor networks. We analysed BOLD signal in three subregions of equal volume of the STN along the dorsolateral-ventromedial axis, identified using manually delineated high resolution anatomical images. Our results indicate that all segments responded equally to the experimental manipulations, and did not support the tripartite model.


2004 ◽  
Vol 36 (05) ◽  
Author(s):  
MI Schubert ◽  
S Droste ◽  
R Kalisch ◽  
F Holsboer ◽  
JHMH Reul ◽  
...  
Keyword(s):  
7 Tesla ◽  

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S191
Author(s):  
C. Metzger ◽  
J. Stadler ◽  
J. Buchmann ◽  
J. Steiner ◽  
B. Bogerts ◽  
...  

2019 ◽  
Vol 18 (1) ◽  
pp. e9-e10
Author(s):  
I.M. Groenendijk ◽  
S. Luijten ◽  
W. Van Der Zwaag ◽  
J.C. Holstege ◽  
J. Scheepe ◽  
...  

2019 ◽  
Author(s):  
Laura Fontanesi ◽  
Sebastian Gluth ◽  
Jörg Rieskamp ◽  
Birte U. Forstmann

AbstractThe ability to predict the outcomes of actions based on experience is crucial for making successful decisions in new or dynamic environments. In animal studies using electrophysiology, it was found that dopamine neurons, located in the substantia nigra (SN) and the ventral tegmental area (VTA), have a crucial role in feedback-based learning. However, human neuroimaging studies have provided inconclusive results. The present work used ultrahigh field (7 Tesla) structural and functional MRI and optimized protocols to extract SN and VTA signals in human participants. In a number-guessing task, we found significant correlations with reward prediction error and risk in both the SN and the VTA and no correlation with expected value. We also found a surprise signal in the SN. These results are in line with a recent framework that proposed a differential role for the VTA and the SN in, respectively, learning of values and surprise.


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