This is a resubmission of a competitive renewal application. A loss of coordination, or disconnection, among brain regions may contribute to the cognitive deficits observed in schizophrenia. This loss of integration has been attributed to a pervasive deficit in neural synchronization, which may be critical for temporal processing and perceptual integration within the nervous system. This project will use behavioral and electrophysiological (EEG) methods to evaluate neural synchronization, temporal processing, and cognitive integration in patients with schizophrenia and in participants with schizotypal personality disorder (SPD). Signal power, noise, and phase relationships will be analyzed in transient and steady state event-related potentials (ERPs). Psychophysical measures will be used to capture perceptual and cognitive parameters which may be associated with neural synchrony, including motion thresholds, calculation efficiency, internal noise, and working memory operations. We hypothesize that patients with schizophrenia will show reduced EEG power, poorer phase synchronization, and higher noise in EEG responses, while SPD subjects will show electrophysiological evidence of sensory hyperactivation and attention deficit. On behavioral tasks, both schizophrenic patients and SPD subjects will show more severe deficits with increased demands for temporal and feature integration, more precise temporal resolution, and greater memory load. Familial SPD subjects will show more severe intellectual impairment and social maladjustment compared to non-familial SPD subjects. These findings may identify neurobehavioral deficits common to SZ and SPD, as well as features which differentiate these disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
2R01MH062150-04A1
Application #
6920304
Study Section
Neural Basis of Psychopathology, Addictions and Sleep Disorders Study Section (NPAS)
Program Officer
Meinecke, Douglas L
Project Start
2000-07-01
Project End
2010-03-31
Budget Start
2005-04-01
Budget End
2006-03-31
Support Year
4
Fiscal Year
2005
Total Cost
$219,740
Indirect Cost
Name
Indiana University Bloomington
Department
Miscellaneous
Type
Schools of Arts and Sciences
DUNS #
006046700
City
Bloomington
State
IN
Country
United States
Zip Code
47401
Cheng, H; Skosnik, P D; Pruce, B J et al. (2014) Resting state functional magnetic resonance imaging reveals distinct brain activity in heavy cannabis users - a multi-voxel pattern analysis. J Psychopharmacol 28:1030-40
O'Bryan, Rebecca A; Brenner, Colleen A; Hetrick, William P et al. (2014) Disturbances of visual motion perception in bipolar disorder. Bipolar Disord 16:354-65
O'Donnell, Brian F; Vohs, Jenifer L; Krishnan, Giri P et al. (2013) The auditory steady-state response (ASSR): a translational biomarker for schizophrenia. Suppl Clin Neurophysiol 62:101-12
Kim, Dae-Jin; Bolbecker, Amanda R; Howell, Josselyn et al. (2013) Disturbed resting state EEG synchronization in bipolar disorder: A graph-theoretic analysis. Neuroimage Clin 2:414-23
Vohs, Jenifer L; Chambers, R Andrew; O'Donnell, Brian F et al. (2012) Auditory steady state responses in a schizophrenia rat model probed by excitatory/inhibitory receptor manipulation. Int J Psychophysiol 86:136-42
Rass, Olga; Forsyth, Jennifer K; Krishnan, Giri P et al. (2012) Auditory steady state response in the schizophrenia, first-degree relatives, and schizotypal personality disorder. Schizophr Res 136:143-9
Rass, Olga; Forsyth, Jennifer K; Bolbecker, Amanda R et al. (2012) Computer-assisted cognitive remediation for schizophrenia: a randomized single-blind pilot study. Schizophr Res 139:92-8
Luck, Steven J; Mathalon, Daniel H; O'Donnell, Brian F et al. (2011) A roadmap for the development and validation of event-related potential biomarkers in schizophrenia research. Biol Psychiatry 70:28-34
Ahn, Woo-Young; Rass, Olga; Fridberg, Daniel J et al. (2011) Temporal discounting of rewards in patients with bipolar disorder and schizophrenia. J Abnorm Psychol 120:911-21
Kim, Dae-Jin; Skosnik, Patrick D; Cheng, Hu et al. (2011) Structural network topology revealed by white matter tractography in cannabis users: a graph theoretical analysis. Brain Connect 1:473-83

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