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<font color="#003366"><a href="http://bcs.useoul.edu/b/JC/sdarticle-8.pdf" alt="An Animal Model of a Behavioral Intervention for Depression"></a>An Animal Model of a Behavioral Intervention for Depression</a></font></a></h4> | <font color="#003366"><a href="http://bcs.useoul.edu/b/JC/sdarticle-8.pdf" alt="An Animal Model of a Behavioral Intervention for Depression"></a>An Animal Model of a Behavioral Intervention for Depression</a></font></a></h4> | ||
Although conditioned inhibition of fear (or learned safety) is a learning process critical for preventing chronic stress, a predisposing factor for depression and other psychopathologies, tittle is known about its functional purposes or molecular mechanisms. To obtain better insight into learned safety, we investigated its behavioral and molecular characteristics and found that it acts as a behavioral antidepressant in two animal models. Learned safety promotes the survival of newborn cells in the dentate gyrus of the hippocampus, while its antidepressant effect is abolished in mice with ablated hippocampal neurogenesis. Learned safety also increases the expression of BDNF in the hippocampus and leads to downregulation of genes involved in the dopaminergic and neuropeptidergic but not the serotonergic system in the basolateral amygdala. These data suggest that learned safety is an animal model of a behavioral antidepressant that shares some neuronal hallmarks of pharmacological antidepressants but is mediated by different molecular pathways. | Although conditioned inhibition of fear (or learned safety) is a learning process critical for preventing chronic stress, a predisposing factor for depression and other psychopathologies, tittle is known about its functional purposes or molecular mechanisms. To obtain better insight into learned safety, we investigated its behavioral and molecular characteristics and found that it acts as a behavioral antidepressant in two animal models. Learned safety promotes the survival of newborn cells in the dentate gyrus of the hippocampus, while its antidepressant effect is abolished in mice with ablated hippocampal neurogenesis. Learned safety also increases the expression of BDNF in the hippocampus and leads to downregulation of genes involved in the dopaminergic and neuropeptidergic but not the serotonergic system in the basolateral amygdala. These data suggest that learned safety is an animal model of a behavioral antidepressant that shares some neuronal hallmarks of pharmacological antidepressants but is mediated by different molecular pathways. | ||
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Finding one's way in a large-scale environment may engage different cognitive processes than following a familiar route. The neural bases of these processes were investigated using functional MRI (fMRI). Subjects found their way in one virtual-reality town and followed a well-learned route in another. In a control condition, subjects followed a visible trail.Within subjects, accurate wayfinding activated the right posterior hippocampus. Between-subjects correlations with performance showed that good navigators (i.e., accurate wayfinders) activated the anterior hippocampus during wayfinding and head of caudate during route following. These results coincidewith neurophysiological evidence for distinct response (caudate) and place (hippocampal) representations supporting navigation. We argue that the type of representation used influences both performance and concomitant fMRI activation patterns. | Finding one's way in a large-scale environment may engage different cognitive processes than following a familiar route. The neural bases of these processes were investigated using functional MRI (fMRI). Subjects found their way in one virtual-reality town and followed a well-learned route in another. In a control condition, subjects followed a visible trail.Within subjects, accurate wayfinding activated the right posterior hippocampus. Between-subjects correlations with performance showed that good navigators (i.e., accurate wayfinders) activated the anterior hippocampus during wayfinding and head of caudate during route following. These results coincidewith neurophysiological evidence for distinct response (caudate) and place (hippocampal) representations supporting navigation. We argue that the type of representation used influences both performance and concomitant fMRI activation patterns. | ||
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+ | <h4>Moo K. Chung, PhD, Dept. of Biostatistics & Medical Informatics, U of Wisconsin-Madison | ||
+ | <a href="http://www.stat.wisc.edu/~mchung/"><font color=gray>Homepage</font></a></h4> | ||
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+ | === Moo K. Chung === | ||
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Contents |
First, we have identified a set of comprehensive but focused set of cognitive functions and targeted brain mechanisms with an aim to achieve breadth while insuring that our studies fall squarely within the areas of expertise of our associated faculty (Fig 1A, 1B). Second, to address the 'linking' questions around those key cognitive and brain mechanisms, we intend to integrate cutting-edge ‘neurometric' techniques to probe neural activities/structures at multiple levels spanning the depth of genetic, molecular, synaptic, neuronal, local/global network-level measurements (Fig 1C). These brain measurements will be paralleled by state-of-the-art 'psychometric' tools to capture mind in action, with behavioral tasks spanning the breadth of behavioral genetics, rodent memory tasks, visual perception tasks, eye movements, reverse correlation and social perception tasks (Fig 1D). Third, based on the neurometric and psychometric data, we will build tight linkages between brain activity/structure and mind. In doing so, computational approaches will help us to build comprehensive neural models constrained by data from empirical studies (Fig 1E). Computational models of complex brain systems allow us to put to test, via simulation, predictions that cannot be tested in empirical situations and to guide empirical studies by generating testable predictions about behaviors in the domains of both brain and mind. In addition, we will study brains and minds in abnormal states by specifying the roles of neural circuits underlying cognitive deficits in patients with psychiatric disorders and in individuals with remarkable cognitive abilities that fall outside the range of normal (Fig 1F). Our multi-level approach, transpiring through 'gene', 'protein', 'neuron', 'system', 'behavior', 'abnormality' and 'computation', can lead to fundamental cure for mental diseases in the future.
Perirhinal cortex / Entorhinal cortex / Parietal cortex / Hippocampus / Amygdala / Visual cortex / Prefrontal cortex / Corpus callosum / Orbitofrontal cortex / Longrange cortical circuitry |
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I. Introduction and overview of research plans Our research aim is to use biological, behavioral and computational methods to understand how the mind, brain and behavior are interrelated. Studying humans and animals, our research will link key cognitive and emotional functions to neural activities at multiple levels of brain systems. To establish these linkages, we set forth a research strategy, named 'SLBM (Strategy of Linking Brain and Mind)', the major steps and components of which are summarized in the following three sections.
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