Schizophrenia and bipolar disorder are major mental illnesses that cause their victims and their families much anguish and are a major source of lost productivity and medical care expenses to our nation. Yet too little is known about them, especially about the most effective time of treatment intervention during the course of illness. The main goal of this competing R01 renewal application, which uses a prospective longitudinal study design, is to advance our knowledge of the neurophysiology of schizophrenia (SZ) (and affective psychosis) by: 1) evaluating functional abnormalities in EEG event-related potentials (ERPs) that span both early and late stages of processing, with a special focus on early auditory processing;2) integrating this information with structural MRI anatomy;and 3) integrating both ERP and MRI measures with clinical features. Findings from our work, as well as others, suggest the importance of understanding the course of the disorder. Initial data from our prospective longitudinal study of first psychotic episode subjects (FE, operationally defined as first hospitalization)have shown which demonstrate post onset progression of MRI/ERP features deficits, including brain gray matter loss and concomitant reduction of ERP functional measures. Progression is very rapid in the first 1.5 years after initial hospitalization, but much slower or even absent in chronic patients. The present application adds a second longitudinally studied population, subjects who are clinically prodromal for psychosis (PRO) in whom we propose to track progression and biopredictors of conversion to psychosis, especially SZ psychosis. Unifying our approach is our neurobiological model of a fundamental cellular defect in recurrent inhibition, based on an NMDA neurotransmission abnormality. Specifically, we hypothesize that such an abnormality may be responsible for both the developmental abnormalities observed in this disorder as well as the prodromal and post-onset progression. This cellular- based model and our preliminary data have led to an increasing focus on early-stage brain processing, especially auditory processing, as results from early processing paradigms appear to be especially amenable to correlation with brain anatomical deficits and with documentation of progression of the disorder. Finally, we will use these measures to evaluate specificity to FE schizophrenic psychosis versus FE Affective Psychosis (90% biopolar). In terms of significance, it hardly needs emphasis that, should our prediction of progression of ERP/MRI abnormalities in prodromes be confirmed and constitute predictor(s) of conversion, such findings would likely form a rational basis for psychosocial and medication therapeutic interventions. Moreover, should our preliminary findings be confirmed -rapid post-onset progression in the early course of schizophrenia with lesser changes occurring later-this would immediately form a scientific foundation for emphasis on early treatment, and perhaps prevention of progression of illness over time.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH040799-25
Application #
8102705
Study Section
Neural Basis of Psychopathology, Addictions and Sleep Disorders Study Section (NPAS)
Program Officer
Meinecke, Douglas L
Project Start
1986-04-01
Project End
2013-06-30
Budget Start
2011-07-01
Budget End
2013-06-30
Support Year
25
Fiscal Year
2011
Total Cost
$577,271
Indirect Cost
Name
Harvard University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
047006379
City
Boston
State
MA
Country
United States
Zip Code
02115
Ohtani, Toshiyuki; Del Re, Elisabetta; Levitt, James J et al. (2018) Progressive symptom-associated prefrontal volume loss occurs in first-episode schizophrenia but not in affective psychosis. Brain Struct Funct 223:2879-2892
Konishi, Jun; Del Re, Elisabetta C; Bouix, Sylvain et al. (2018) Abnormal relationships between local and global brain measures in subjects at clinical high risk for psychosis: a pilot study. Brain Imaging Behav 12:974-988
Levitt, James J; Nestor, Paul G; Levin, Laura et al. (2017) Reduced Structural Connectivity in Frontostriatal White Matter Tracts in the Associative Loop in Schizophrenia. Am J Psychiatry 174:1102-1111
Salisbury, Dean F; Polizzotto, Nicola R; Nestor, Paul G et al. (2017) Pitch and Duration Mismatch Negativity and Premorbid Intellect in the First Hospitalized Schizophrenia Spectrum. Schizophr Bull 43:407-416
Del Re, Elisabetta C; Gao, Yi; Eckbo, Ryan et al. (2016) A New MRI Masking Technique Based on Multi-Atlas Brain Segmentation in Controls and Schizophrenia: A Rapid and Viable Alternative to Manual Masking. J Neuroimaging 26:28-36
Del Re, Elisabetta C; Konishi, Jun; Bouix, Sylvain et al. (2016) Enlarged lateral ventricles inversely correlate with reduced corpus callosum central volume in first episode schizophrenia: association with functional measures. Brain Imaging Behav 10:1264-1273
Lee, Sang-Hyuk; Niznikiewicz, Margaret; Asami, Takeshi et al. (2016) Initial and Progressive Gray Matter Abnormalities in Insular Gyrus and Temporal Pole in First-Episode Schizophrenia Contrasted With First-Episode Affective Psychosis. Schizophr Bull 42:790-801
Oribe, Naoya; Hirano, Yoji; Kanba, Shigenobu et al. (2015) Progressive reduction of visual P300 amplitude in patients with first-episode schizophrenia: an ERP study. Schizophr Bull 41:460-70
Pinheiro, Ana P; Del Re, Elisabetta; Nestor, Paul G et al. (2015) Abnormal interactions between context, memory structure, and mood in schizophrenia: an ERP investigation. Psychophysiology 52:20-31
Ohtani, Toshiyuki; Bouix, Sylvain; Lyall, Amanda E et al. (2015) Abnormal white matter connections between medial frontal regions predict symptoms in patients with first episode schizophrenia. Cortex 71:264-76

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