Matthew J. Sutterer
Affiliations: | University of Iowa, Iowa City, IA |
Area:
emotion, social behavior, plasticiyGoogle:
"Matthew Sutterer"Mean distance: 16.35 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentorRichard J. Davidson | research assistant | 2006-2010 | UW Madison |
Matthew A. Howard | grad student | 2010- | University of Iowa |
Daniel Tranel | grad student | 2010- | University of Iowa |
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Publications
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Calamia M, Markon KE, Sutterer MJ, et al. (2018) Examining Neural Correlates of Psychopathology Using a Lesion-Based Approach. Neuropsychologia |
Sutterer MJ, Tranel D. (2017) Neuropsychology and Cognitive Neuroscience in the fMRI Era: A Recapitulation of Localizationist and Connectionist Views. Neuropsychology |
Oya H, Howard MA, Magnotta VA, et al. (2016) Mapping effective connectivity in the human brain with concurrent intracranial electrical stimulation and BOLD-fMRI. Journal of Neuroscience Methods |
Sutterer MJ, Bruss J, Boes AD, et al. (2016) Canceled connections: Lesion-derived network mapping helps explain differences in performance on a complex decision-making task. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 78: 31-43 |
Sutterer MJ, Koscik TR, Tranel D. (2015) Sex-related functional asymmetry of the ventromedial prefrontal cortex in regard to decision-making under risk and ambiguity. Neuropsychologia. 75: 265-73 |
Pasha Hosseinbor A, Chung MK, Koay CG, et al. (2015) 4D hyperspherical harmonic (HyperSPHARM) representation of surface anatomy: a holistic treatment of multiple disconnected anatomical structures. Medical Image Analysis. 22: 89-101 |
Caldwell JZ, Armstrong JM, Hanson JL, et al. (2015) Preschool externalizing behavior predicts gender-specific variation in adolescent neural structure. Plos One. 10: e0117453 |
Hanson JL, Nacewicz BM, Sutterer MJ, et al. (2015) Behavioral problems after early life stress: contributions of the hippocampus and amygdala. Biological Psychiatry. 77: 314-23 |
Chung MK, Schaefer SM, Van Reekum CM, et al. (2014) A unified kernel regression for diffusion wavelets on manifolds detects aging-related changes in the amygdala and hippocampus. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 789-96 |
Chung MK, Kim SG, Schaefer SM, et al. (2014) Improved Statistical Power with a Sparse Shape Model in Detecting an Aging Effect in the Hippocampus and Amygdala. Proceedings of Spie--the International Society For Optical Engineering. 9034: 90340Y |