Search results for 'Daniel H. Mathalon' (try it on Scholar)

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  1. Ralph E. Hoffman, Daniel H. Mathalon, Judith M. Ford & John H. Krystal (2004). Cortico – (Thalamo) – Cortical Interactions, Gamma Resonance, and Auditory Hallucinations in Schizophrenia. Behavioral and Brain Sciences 27 (6):797-798.score: 870.0
    Transcranial magnetic stimulation, EEG, and behavioral studies by our group implicate spurious activation of speech perception neurocircuitry in the genesis of auditory hallucinations in schizophrenia. The neurobiological basis of these abnormalities remains uncertain, however. We review our ongoing studies, which suggest that altered cortical coupling underlies speech processing in schizophrenia and is expressed via disrupted gamma resonances and impaired corollary discharge function of self-generated verbal thought.
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  2. [deleted]Daniel H. Mathalon, Ralph E. Hoffman, Todd D. Watson, Ryan M. Miller, Brian J. Roach & Judith M. Ford (2010). Neurophysiological Distinction Between Schizophrenia and Schizoaffective Disorder. Frontiers in Human Neuroscience 3:70.score: 870.0
    Schizoaffective disorder (SA) is distinguished from schizophrenia (SZ) based on the presence of prominent mood symptoms over the illness course. Despite this clinical distinction, SA and SZ patients are often combined in research studies, in part because data supporting a distinct pathophysiological boundary between the disorders are lacking. Indeed, few studies have addressed whether neurobiological abnormalities associated with SZ, such as the widely replicated reduction and delay of the P300 event-related potential (ERP), are also present in SA. Scalp EEG was (...)
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  3. [deleted]Daniel H. Mathalon & Judith M. Ford (2012). Neurobiology of Schizophrenia: Search for the Elusive Correlation with Symptoms. Frontiers in Human Neuroscience 6.score: 870.0
    In the last half-century, human neuroscience methods provided a way to study schizophrenia in vivo, and established that it is associated with subtle abnormalities in brain structure and function. However, efforts to understand the neurobiological bases of the clinical symptoms that the diagnosis is based on have been largely unsuccessful. In this paper, we provide an overview of the conceptual and methodological obstacles that undermine efforts to link the severity of specific symptoms to specific neurobiological measures. These obstacles include small (...)
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  4. [deleted]Jingyu Liu, Mohammad M. Ghassemi, Andrew M. Michael, David Boutte, William Wells, Nora Perrone-Bizzozero, Fabio Macciardi, Daniel H. Mathalon, Judith M. Ford, Steven G. Potkin, Jessica A. Turner & Vince D. Calhoun (2012). An ICA with Reference Approach in Identification of Genetic Variation and Associated Brain Networks. Frontiers in Human Neuroscience 6:21-21.score: 870.0
    To address the statistical challenges associated with genome-wide association studies, we present an independent component analysis (ICA) with reference approach to target a specific genetic variation and associated brain networks. First, a small set of single nucleotide polymorphisms (SNPs) are empirically chosen to reflect a feature of interest and these SNPs are used as a reference when applying ICA to a full genomic SNP array. After extracting the genetic component maximally representing the characteristics of the reference, we test its association (...)
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  5. [deleted]Mathalon Daniel (2011). Predictive Errors and Corollary Discharge in Schizophrenia. Frontiers in Human Neuroscience 5.score: 240.0