This project based at UCSD will develop and refine new experimental paradigms for assessing the neural basis of sensory processing and attentional mechanisms in the human brain. The primary approach will involve non-invasive electrophysiological recordings of EEG and event-related brain activity from the intact scalp, with converging data from fMRI to be obtained in some experiments. This paradigm development and testing will be carried out at first in normal subjects with the aim of subsequently applying them to the study of sensory and attentional deficits in schizophrenia patients. These experiments will be closely coordinated with parallel studies in monkeys and in schizophrenia patients carried out by other projects in the proposed Conte Center. More specifically, this project will investigate: (1) the role of EEG oscillations of oscillatory hierarchies in selective attention, (2) the neural mechanisms of attention to stimuli that are processed by the magnocellular and parvocellular visual pathways and (3) the neural mechanisms of attention to multifeature objects composed of high and low spatial frequencies. These critical processes of selective attention are likely to be disrupted in schizophrenia patients in association with their early sensory deficits and diminished functional brain connectivity. This approach is innovative in that the results of experiments in norrnal humans will be continually compared with the results of parallel studies in monkeys and in psychiatric patients, which will allow for broader and more incisive interpretations of the emerging data and will permit ongoing design modifications for follow-up studies.

Public Health Relevance

Schizophrenia is a devastating disease that significantly impacts the public health system. Understanding the basic brain mechanisms that underlie this disorder is an important and necessary step towards gaining a more complete understanding of the disease and may lead to improved treatment strategies

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
1P50MH086385-01
Application #
7752213
Study Section
Special Emphasis Panel (ZMH1-ERB-F (01))
Project Start
Project End
Budget Start
2009-07-23
Budget End
2010-06-30
Support Year
1
Fiscal Year
2009
Total Cost
$217,271
Indirect Cost
Name
New York University
Department
Type
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Corcoran, Cheryl M; Stoops, Anastasia; Lee, Migyung et al. (2018) Developmental trajectory of mismatch negativity and visual event-related potentials in healthy controls: Implications for neurodevelopmental vs. neurodegenerative models of schizophrenia. Schizophr Res 191:101-108
Lee, Migyung; Balla, Andrea; Sershen, Henry et al. (2018) Rodent Mismatch Negativity/theta Neuro-Oscillatory Response as a Translational Neurophysiological Biomarker for N-Methyl-D-Aspartate Receptor-Based New Treatment Development in Schizophrenia. Neuropsychopharmacology 43:571-582
Brucato, Gary; Appelbaum, Paul S; Masucci, Michael D et al. (2018) Prevalence and phenomenology of violent ideation and behavior among 200 young people at clinical high-risk for psychosis: an emerging model of violence and psychotic illness. Neuropsychopharmacology :
Kantrowitz, Joshua T; Epstein, Michael L; Lee, Migyung et al. (2018) Improvement in mismatch negativity generation during d-serine treatment in schizophrenia: Correlation with symptoms. Schizophr Res 191:70-79
Kantrowitz, Joshua T; Nolan, Karen A; Epstein, Michael L et al. (2017) Neurophysiological Effects of Bitopertin in Schizophrenia. J Clin Psychopharmacol 37:447-451
Lee, M; Sehatpour, P; Hoptman, M J et al. (2017) Neural mechanisms of mismatch negativity dysfunction in schizophrenia. Mol Psychiatry 22:1585-1593
Potvin, Olivier; Dieumegarde, Louis; Duchesne, Simon et al. (2017) Freesurfer cortical normative data for adults using Desikan-Killiany-Tourville and ex vivo protocols. Neuroimage 156:43-64
Brucato, G; Masucci, M D; Arndt, L Y et al. (2017) Baseline demographics, clinical features and predictors of conversion among 200 individuals in a longitudinal prospective psychosis-risk cohort. Psychol Med 47:1923-1935
Potvin, Olivier; Dieumegarde, Louis; Duchesne, Simon et al. (2017) Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain. Neuroimage 156:315-339
Poe, Sarah-Lucy; Brucato, Gary; Bruno, Nicolina et al. (2017) Sleep disturbances in individuals at clinical high risk for psychosis. Psychiatry Res 249:240-243

Showing the most recent 10 out of 96 publications