The Section on Integrative Neuroimaging continues to make advances toward its goals of understanding the nature, molecular underpinnings, underlying neurochemistry, and clinical correlates of neural systems-level dysfunction in schizophrenia. This year, we have made substantial progress in furthering our multimodal neuroimaging studies of a unique and growing cohort of medication-free patients with schizophrenia. In particular, new efforts to characterize not only presynaptic dopamine synthetic capacity, but also D1 and D2/3 receptor availability in this population have been successful in this years participants, and with further accrual, will allow evaluation of key hypotheses about integrated pre- and post-synaptic dopamine functioning in this disorder. In conjunction with cortical cognitive activation data collected in the same patients, these data will also provide a platform to expand work from this lab yolking characteristic schizophrenia-associated impairments in prefrontal activation during executive task performance and exaggerated striatal dopamine synthesis. Specifically, this ongoing project will allow us to directly evaluate theories that schizophrenic neuropathophysiological changes are reflected in failures of maintaining task appropriate network activity via disturbed cortical dopaminergic tone and impaired signal-to-noise ratios due to suboptimal D1 to D2/3 receptor relationships. As described in extensive detail in Eisenberg and Berman (Neuropsychopharmacology, 2010), critical disturbances in cognitive control neural circuitry in schizophrenia not only serve as sources of marked disability in affected individuals, but also provide a valuable phenotype for testing hypotheses regarding how genes implicated in schizophrenia might contribute risk. For example, by measuring regional cerebral blood flow during the N-back continuous working memory task, we have re-confirmed an aberrant prefrontal activation pattern even in patients who perform relatively well on the task and further demonstrated profoundly aberrant connectivity in prefrontal and medial temporal lobe regions, which showed strong ability to discriminate between healthy and ill participants. This latter finding was prospectively validated in two additional data sets, suggesting that disturbances in the prefrontal-limbic functional axis may be an illness trait marker. We have more recently extended this work even further, reporting on a unique gene-diagnosis interaction operating on regional cerebral blood flow involving the gene coding for catechol-O-methyltransferase, COMT, which harbors common variation that is weakly but consistently associated with schizophrenia risk and strongly implicated in both prefrontal and limbic functioning during executive and affective challenge, respectively, in healthy individuals. In particular, we have identified that even at rest there exists in patients with schizophrenia an inverse relationship between dorsolateral prefrontal cortical and medial temporal lobe blood flow, which is mediated by COMT genotype. This is an effect not seen in healthy study participants and suggests an important intersection between genetically determined cortical dopaminergic tone and fundamental biases in baseline prefrontal-limbic neural network activity in patients suffering with schizophrenia. This study therefore elucidates a mechanistic explanation for variation in characteristic resting-state neural abnormalities previously identified in schizophrenia. Adopting a similar strategy, we are currently broadening our neuroimaging genetic work in this cohort to identify gene-diagnosis interactions with other risk genes that impact neural functioning during both working-memory performance and basal resting conditions. Ultimately, these efforts will help clarify molecular contributions to pathophysiological findings in schizophrenia and gain ground toward defining new therapeutic targets.

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Project End
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Budget End
Support Year
19
Fiscal Year
2011
Total Cost
$593,625
Indirect Cost
Name
U.S. National Institute of Mental Health
Department
Type
DUNS #
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Dickinson, Dwight; Pratt, Danielle N; Giangrande, Evan J et al. (2017) Attacking Heterogeneity in Schizophrenia by Deriving Clinical Subgroups From Widely Available Symptom Data. Schizophr Bull :
Eisenberg, Daniel Paul; Yankowitz, Lisa; Ianni, Angela M et al. (2017) Presynaptic Dopamine Synthesis Capacity in Schizophrenia and Striatal Blood Flow Change During Antipsychotic Treatment and Medication-Free Conditions. Neuropsychopharmacology 42:2232-2241
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Wei, Shau-Ming; Eisenberg, Daniel P; Nabel, Katherine G et al. (2016) Brain-Derived Neurotrophic Factor Val66Met Polymorphism Affects the Relationship Between an Anxiety-Related Personality Trait and Resting Regional Cerebral Blood Flow. Cereb Cortex :
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Eisenberg, Daniel P; Kohn, Philip D; Hegarty, Catherine E et al. (2016) Common Variation in the DOPA Decarboxylase (DDC) Gene and Human Striatal DDC Activity In Vivo. Neuropsychopharmacology 41:2303-8
Rasetti, Roberta; Mattay, Venkata S; White, Michael G et al. (2014) Altered hippocampal-parahippocampal function during stimulus encoding: a potential indicator of genetic liability for schizophrenia. JAMA Psychiatry 71:236-47
Dickinson, Dwight; Straub, Richard E; Trampush, Joey W et al. (2014) Differential effects of common variants in SCN2A on general cognitive ability, brain physiology, and messenger RNA expression in schizophrenia cases and control individuals. JAMA Psychiatry 71:647-56
Eisenberg, Daniel Paul; Berman, Karen F (2014) Catechol-O-methyltransferase and genetic variation under hemizygosity. Biol Psychiatry 75:346-7

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