All research in this Center is directed at testing a general hypothesis concerning the origin of the information processing deficits of schizophrenia. The hypothesis states that molecular alterations among GABA neurons give rise to abnormalities of cerebral cortical oscillatory activity and that abnormal oscillatory activity gives rise to impaired information processing. Testing this hypothesis will lead to an improved understanding of the pathophysiological mechanisms that underlie impaired information processing in schizophrenia and will thereby pave the way to the development of novel, mechanistically-based treatments. Project 3 will contribute to the attainment of the goals of the Center by characterizing cognition-related oscillatory activity in the cerebral cortex of behaving monkeys. Experiments conducted under Aim 1 will focus on gamma-band (30-80 Hz) oscillations in frontal cortex that accompany the preparation to overcome a prepotent response. Experiments conducted under Aim 2 will focus on gamma-band oscillations in occipitotemporal cortex that accompany selective visual attention. Experiments conducted under Aim 3 will focus on theta-band (4-8 Hz) oscillations in occipitotemporal cortex evoked by displays consisting of a central and a peripheral visual stimulus. In each experiment, oscillatory activity will be examined at multiple levels of spatial resolution (dural surface potential, local field potential and action potential). In each experiment, the dependence of oscillatory activity on GABA neurotransmission will be assessed by measuring the impact of locally administered agents that exert a potentiating (benzodiazepine) or blocking (GABA antagonist) effect at GABA-A receptors. In each experiment, three fundamental hypotheses will be tested: (1) that the amplitude of oscillatory activity depends on the task conditions;(2) that oscillatory activity recorded at an intracranial site is correlated with oscillatory activity recorded at the overlying cortical surface;(3) that oscillatory activity depends on GABA neurotransmission. By improving our understanding (a) of how cortical oscillatory activity recorded at the brain surface is related to intracranial oscillatory activity and (b) of how intracranial oscillatory activity depends on GABA, the results will increase our understanding of the neural mechanisms that underlie scalprecorded oscillatory activity in healthy subjects. This will form a basis for drawing inferences about the pathophysiological mechanisms that underlie abnormal cognition-related oscillatory activity in schizophrenia. An understanding of the pathophysiology will form a foundation for the development of novel mechanistically based treatments aimed at ameliorating the cognitive impairments of schizophrenia.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH084053-04
Application #
8279479
Study Section
Special Emphasis Panel (ZMH1)
Project Start
Project End
Budget Start
2011-07-01
Budget End
2012-06-30
Support Year
4
Fiscal Year
2011
Total Cost
$243,436
Indirect Cost
Name
University of Pittsburgh
Department
Type
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Khan, Atlas; Liu, Qian; Wang, Kai (2018) iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes. BMC Bioinformatics 19:501
Giambartolomei, Claudia; Zhenli Liu, Jimmy; Zhang, Wen et al. (2018) A Bayesian framework for multiple trait colocalization from summary association statistics. Bioinformatics 34:2538-2545
Asafu-Adjei, Josephine K; Sampson, Allan R (2018) Covariate adjusted classification trees. Biostatistics 19:42-53
Toker, Lilah; Mancarci, Burak Ogan; Tripathy, Shreejoy et al. (2018) Transcriptomic Evidence for Alterations in Astrocytes and Parvalbumin Interneurons in Subjects With Bipolar Disorder and Schizophrenia. Biol Psychiatry 84:787-796
Polizzotto, Nicola Riccardo; Hill-Jarrett, Tanisha; Walker, Christopher et al. (2018) Normal development of context processing using the AXCPT paradigm. PLoS One 13:e0197812
Huckins, L M; Hatzikotoulas, K; Southam, L et al. (2018) Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol Psychiatry 23:1169-1180
Mitchell, A C; Javidfar, B; Pothula, V et al. (2018) MEF2C transcription factor is associated with the genetic and epigenetic risk architecture of schizophrenia and improves cognition in mice. Mol Psychiatry 23:123-132
Bryois, Julien; Garrett, Melanie E; Song, Lingyun et al. (2018) Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia. Nat Commun 9:3121
Fazio, Leonardo; Pergola, Giulio; Papalino, Marco et al. (2018) Transcriptomic context of DRD1 is associated with prefrontal activity and behavior during working memory. Proc Natl Acad Sci U S A 115:5582-5587
Gusev, Alexander; Mancuso, Nicholas; Won, Hyejung et al. (2018) Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet 50:538-548

Showing the most recent 10 out of 111 publications