597 research outputs found

    Functional neuroscience of psychopathic personality in adults

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    Psychopathy is a personality disorder that involves a constellation of traits including callous-unemotionality, manipulativeness, and impulsiveness. Here we review recent advances in the research of functional neural correlates of psychopathic personality traits in adults. We first provide a concise overview of functional neuroimaging findings in clinical samples diagnosed with the PCL-R. We then review studies with community samples that have focused on how individual differences in psychopathic traits (variously measured) relate to individual differences in brain function. Where appropriate, we draw parallels between the findings from these studies and those with clinical samples. Extant data suggest that individuals with high levels of psychopathic traits show lower activity in affect-processing brain areas to emotional/salient stimuli, and that attenuated activity may be dependent on the precise content of the task. They also seem to show higher activity in regions typically associated with reward processing and cognitive control in tasks involving moral processing, decision making, and reward. Furthermore, affective-interpersonal and lifestyle-antisocial facets of psychopathy appear to be associated with different patterns of atypical neural activity. Neuroimaging findings from community samples typically mirror those observed in clinical samples, and largely support the notion that psychopathy is a dimensional construct

    Optical imaging and spectroscopy for the study of the human brain: status report

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    This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit of novel methods to explore brain health and function. While the first report focused on neurophotonic tools mostly applicable to animal studies, here, we highlight optical spectroscopy and imaging methods relevant to noninvasive human brain studies. We outline current state-of-the-art technologies and software advances, explore the most recent impact of these technologies on neuroscience and clinical applications, identify the areas where innovation is needed, and provide an outlook for the future directions. Keywords: DCS; NIRS; diffuse optics; functional neuroscience; optical imaging; optical spectroscop

    Deborah Cabin and Her Role in the Research of Parkinson’s Disease

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    Deborah Cabin received her PhD in physiology from Johns Hopkins University in 1996. She has worked in research labs across America investigating genetic diseases and now is a professor in structural and functional neuroscience at the University of Montana. Her interest in Parkinson’s disease is a result of the complexity and mystery presents to researchers. Since 2006 Deborah has made truly remarkable discoveries regarding the causes of the disease, focusing in particular on a protein which is suspected to contribute significantly to the development of Parkinson’s disease (PD). Her research aims to identify the normal role of this protein, the mechanisms by which it leads to diseases, and to provide a progressive mouse model to widen the scope of PD research

    Seeing Voices: Potential Neuroscience Contributions to a Reconstruction of Legal Insanity

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    Part I of this Article explains the insanity defense in the United States. Next, Part II discusses some of the brain-based research about mental illness, focusing on schizophrenia research. Then, Part III looks at traumatic brain injury and the relationship among injury, cognition, and behavior. Finally, Part IV explains how a new neuroscience-informed standard might better inform our moral decision making about legal insanity

    MEDUSA: A Low-Cost, 16-Channel Neuromodulation Platform with Arbitrary Waveform Generation

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    Neural stimulation systems are used to modulate electrically excitable tissue to interrogate neural circuit function or provide therapeutic benefit. Conventional stimulation systems are expensive and limited in functionality to standard stimulation waveforms, and they are bad for high frequency stimulation. We present MEDUSA, a system that enables new research applications that can leverage multi-channel, arbitrary stimulation waveforms. MEDUSA is low cost and uses commercially available components for widespread adoption. MEDUSA is comprised of a PC interface, an FPGA for precise timing control, and eight bipolar current sources that can each address up to 16 electrodes. The current sources have a resolution of 15.3 nA and can provide ±5 mA with ±5 V compliance. We demonstrate charge-balancing techniques in vitro using a custom microelectrode. An in vivo strength-duration curve for earthworm nerve activation is also constructed using MEDUSA. MEDUSA is a multi-functional neuroscience research tool for electroplating microelectrodes, performing electrical impedance spectroscopy, and examining novel neural stimulation protocols

    The Oaβ1R receptor mediates octopamine signaling at the periphery to promote male aggression

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    In order to survive, an organism needs to be able to interpret their surroundings and rapidly make decisions that lead to an appropriate behavioral response. Identifying and examining the roles of specific groups of neurons that receive environmental information, will enable us to better understand how these decisions are made and what behaviors can occur. Previous results from our lab and others indicate that the neuromodulator octopamine (OA) is required in Drosophila central brain neurons to promote male aggression. After OA is released into the extracellular space, it binds to its postsynaptic receptors to elicit a physiological response. In this study, we are examining the role of a subset of neurons that express the OAβ1R receptor on male behavior. Our initial results demonstrate that removing OAβ1R-expressing neurons decreases male aggression as measured by quantifying how long it takes to start fighting and the number of lunges, a key aggressive behavioral pattern. Wing threats, another form of aggressive behavior, also decreased in both ablated neurons and neurons lacking the OAβ1R receptor. To determine if the OAβ1R receptor mediates changes in male courtship behavior toward a female, I have been performing courtship assays between one wildtype or normal female and two males lacking the OAβ1R receptor. Our preliminary results indicate males lacking the OAβ1R receptor show a significant delay in comparison to controls before they begin courtship behavior, but no defect in their ability to copulate. This delay in initiating courtship could result from a lack of regulation of OAβ1R-expressing neurons by the OAβ1R receptor. Taken together, our results suggest OA signaling through the OAβ1R receptor is required to interpret environmental information to promote or inhibit the aggression and courtship response

    Brain awareness week March 14-20

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    Seven properties of self-organization in the human brain

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    The principle of self-organization has acquired a fundamental significance in the newly emerging field of computational philosophy. Self-organizing systems have been described in various domains in science and philosophy including physics, neuroscience, biology and medicine, ecology, and sociology. While system architecture and their general purpose may depend on domain-specific concepts and definitions, there are (at least) seven key properties of self-organization clearly identified in brain systems: 1) modular connectivity, 2) unsupervised learning, 3) adaptive ability, 4) functional resiliency, 5) functional plasticity, 6) from-local-to-global functional organization, and 7) dynamic system growth. These are defined here in the light of insight from neurobiology, cognitive neuroscience and Adaptive Resonance Theory (ART), and physics to show that self-organization achieves stability and functional plasticity while minimizing structural system complexity. A specific example informed by empirical research is discussed to illustrate how modularity, adaptive learning, and dynamic network growth enable stable yet plastic somatosensory representation for human grip force control. Implications for the design of “strong” artificial intelligence in robotics are brought forward
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