Abstract

The goal of the proposed research is to examine emotion processing in schizophrenia through convergence of neurobehavioral, structural and functional neuroimaging methods. Affective dysfunction has been recognized as a major deficit in schizophrenia. Advances in neuroscience provide unprecedented tools to probe the neurobiology of emotional processing in healthy people and determine with increased precision the mechanism responsible for dysfunction in people with schizophrenia. This has implications for understanding the presentation, course and treatment response of individuals with schizophrenia. The proposed line of investigation will assess emotion processing applying 3-D stimuli of facial expressions of emotions. This neurobehavioral domain will be related to neurocognitive processes and to clinical measures that assess symptoms and function, with special emphasis on affective state. Brain behavior relations will be established by concurrent neuroanatomic evaluations with magnetic resonance imaging (MRI) and with more specific neurobehavioral probes using functional MRI (fMRI). The anatomic studies permit volumetric measures of fronto-temporal structures implicated in the regulation of emotion. The neurobehavioral tasks developed to dissect emotion and cognitive processing will be applied as neurobehavioral probes during online measurements of brain activity with fMRI. This will afford an evaluation of brain systems that are recruited in healthy people during task performance, relative to people with schizophrenia who manifest deficit on such tasks. The application of a genetic strategy by studying family members of affected probands with the neurobehavioral paradigms will permit the integration of two powerful research strategies in schizophrenia, genetics and behavioral neuroscience, needed to assess genetic vulnerability. The longitudinal design will allow assessment of the stability of the neurobehavioral measures and their relation, at intake, to course of illness.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
1R01MH060722-01A1
Application #
6261396
Study Section
Special Emphasis Panel (ZRG1-BDCN-6 (01))
Project Start
2001-02-01
Project End
2006-01-31
Budget Start
2001-02-01
Budget End
2002-01-31
Support Year
1
Fiscal Year
2001
Total Cost
$440,244
Indirect Cost

  Institution

Name
University of Pennsylvania
Department
Psychiatry
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104

  Publications

Kuo, Susan S; Almasy, Laura; Gur, Ruben C et al. (2018) Cognition and community functioning in schizophrenia: The nature of the relationship. J Abnorm Psychol 127:216-227
van Erp, Theo G M; Walton, Esther; Hibar, Derrek P et al. (2018) Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biol Psychiatry 84:644-654
Radke, Sina; Seidel, Eva-Maria; Eickhoff, Simon B et al. (2016) When opportunity meets motivation: Neural engagement during social approach is linked to high approach motivation. Neuroimage 127:267-276
Keutmann, Michael K; Moore, Samantha L; Savitt, Adam et al. (2015) Generating an item pool for translational social cognition research: methodology and initial validation. Behav Res Methods 47:228-34
Roalf, David R; Gur, Raquel E; Verma, Ragini et al. (2015) White matter microstructure in schizophrenia: associations to neurocognition and clinical symptomatology. Schizophr Res 161:42-9
Kohler, Christian G; Richard, Jan A; Brensinger, Colleen M et al. (2014) Facial emotion perception differs in young persons at genetic and clinical high-risk for psychosis. Psychiatry Res 216:206-12
Dyck, Miriam; Loughead, James; Gur, Ruben C et al. (2014) Hyperactivation balances sensory processing deficits during mood induction in schizophrenia. Soc Cogn Affect Neurosci 9:167-75
Kohn, Nils; Falkenberg, Irina; Kellermann, Thilo et al. (2014) Neural correlates of effective and ineffective mood induction. Soc Cogn Affect Neurosci 9:864-72
Cao, Houwei; Cooper, David G; Keutmann, Michael K et al. (2014) CREMA-D: Crowd-sourced Emotional Multimodal Actors Dataset. IEEE Trans Affect Comput 5:377-390
Roalf, David R; Ruparel, Kosha; Verma, Ragini et al. (2013) White matter organization and neurocognitive performance variability in schizophrenia. Schizophr Res 143:172-8

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