Steve Roberds, chief scientific officer of the Tuberous Sclerosis Alliance, talks about how his PhD training shaped his work as a scientific adviser to a nonprofit organization.

Join more than 300 of your colleagues to network and discuss the most pressing issues women in the field are facing at the Celebrating Women in Neuroscience (CWiN) Luncheon during Neuroscience 2015. Maria Neimark Geffen, assistant professor of otorhinolaryngology at the University of Pennsylvania Perelman School of Medicine, will deliver the keynote speech.

In humans, several mutations in a particular calcium channel, the P/Q type, lead to neurological diseases, one of which manifests to ataxia. Ataxia is a disorder where an individual loses coordination or control of muscle movement. SCA6, or spinocerebellar ataxia type 6, is a movement disorder, which results in the loss of a special type of neuron in the cerebellum called Purkinje cells. These neurons process sensory information to coordinate movements. The disease has a late onset and develops in the second period of life. Patients are often wheelchair-bound, and no therapies are available.

Illusionism is a general philosophical framework in which specific theories of consciousness can be constructed without having to invoke a magical mind essence. The advantages of illusionism are not widely recognized, perhaps because scholars tend to think only of the most extreme forms and miss the range of possibilities. The brain's internal models are never fully accurate, nothing is exactly as the brain represents it, and therefore some element of illusionism is almost certainly necessary for any working theory of consciousness or of any other property that is accessed through introspection. Here I describe the illusionist framework and propose six specific theories. One purpose of this article is to demonstrate the range of possibilities in a domain that is not yet sufficiently explored. The second purpose is to argue that even existing, popular theories, such as the integrated information theory or the global workspace theory, can be transformed and greatly strengthened by adding an illusionist layer...

Alcohol use disorder (AUD) is a significant global health issue. Despite historically higher rates among men, AUD prevalence and negative alcohol-related outcomes in women are rising. Loneliness in humans has been associated with increased alcohol use, and traditional rodent drinking models involve single housing, presenting challenges for studying social enrichment. We developed LIQ PARTI (Lick Instance Quantifier with Poly-Animal RFID Tracking Integration), an open-source tool to examine home cage continuous access two-bottle choice drinking behavior in a group-housed setting, investigating the influence of sex and social isolation on ethanol consumption and bout microstructure in C57Bl/6J mice. LIQ PARTI, based on our previously developed single-housed LIQ HD system, accurately tracks drinking behavior using capacitive-based sensors and RFID technology. Group-housed female mice exhibited higher ethanol preference than males, while males displayed a unique undulating pattern of ethanol preference linked ...

Human and mouse dorsal root ganglia (hDRG and mDRG) neurons are important tools in understanding the molecular and electrophysiological mechanisms that underlie nociception and drive pain behaviors. One of the simplest differences in firing phenotypes is that neurons are single-firing (exhibit only one action potential) or multi-firing (exhibit 2 or more action potentials). To determine if single- and multi-firing hDRG neurons exhibit differences in intrinsic properties, firing phenotypes, and AP waveform properties, and if these properties could be used to predict multi-firing, we measured 22 electrophysiological properties by whole-cell patch-clamp electrophysiology of 94 hDRG neurons from six male and four female donors. We then analyzed the data using several machine learning models to determine if these properties could be used to predict multi-firing. We used 1,000 iterations of Monte Carlo cross-validation to split the data into different train and test sets and tested the logistic regression, k -ne...

Ischemic stroke (IS) poses a serious threat to patient survival. The inhibition of ferroptosis can effectively alleviate ischemia-reperfusion (I/R) injury, suggesting potential targets in the ferroptosis pathway for the treatment of IS. In this study, MCAO/R mice and OGD/R-induced HT22 cell were constructed. It was found that baicalein decreased ROS, MDA, and Fe2+ levels, upregulated GSH levels, and enhanced the expression of ferroptosis-related proteins (GPX4 and SLC7A11), downregulated the expression of proapoptotic proteins (Bax, cytochrome c , and cleaved caspase-3), and upregulated the expression of an antiapoptotic protein (Bcl-2), ameliorating cerebral I/R injury. In animal and cell models, Sirtuin6 (SIRT6) is downregulated, and Forkhead boxA2 (FOXA2) expression and acetylation levels are abnormally upregulated. SIRT6 inhibited FOXA2 expression and acetylation. Baicalein promoted FOXA2 deacetylation by upregulating SIRT6 expression. FOXA2 transcriptionally inhibits SLC7A11 expression. In conclusion,...

Experimental evidence showed that an increase in intracellular chloride concentration <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mo stretchy="false">[</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">l</mml:mi></mml:mrow><mml:mo>−</mml:mo></mml:msup></mml:mrow><mml:mo stretchy="false">]</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">i</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math> caused by gamma-aminobutyric acid (GABA) input can promote epileptic firing activity, but the actual mechanisms remain elusive. Here in this theoretical work, we show that influx of chloride and concomitant bicarbonate ion <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msubsup><mml:mrow><mml:mi mathvariant="normal">HCO</mml:mi...

Decision bias influences estimates of the absolute visual threshold. However, most psychophysical estimates of the murine absolute visual threshold have not taken bias into account. Here we developed a one-alternative forced choice (1AFC) assay to assess the decision bias of mice at the absolute visual threshold via the theory of signal detection and compared our approach with the more conventional high-threshold theoretic approach. In the 1AFC assay, mice of both sexes were trained to signal whether they detected a flash stimulus. We directly measured both hit and false alarm rates, which were used to estimate d′ . Using the theory of signal detection, we obtained absolute thresholds by interpolating the intensity where d′  = 1 from d′ -psychometric functions. This gave bias-independent estimates of the absolute visual threshold which ranged over sixfold, averaging ∼1 R* in 1,000 rods ( n  = 7 mice). To obtain high-threshold theoretic estimates of the absolute visual threshold from the same mice, we estim...

The rat dorsomedial (DMS) and dorsolateral striatum (DLS), equivalent to caudate nucleus and putamen in primates, are required for goal-directed and habit behaviour, respectively. However, it is still unclear whether and how this functional dichotomy emerges in the course of learning. In this study, we investigated this issue by recording DMS and DLS single neuron activity in rats performing a continuous spatial alternation task, from the acquisition to optimized performance. We first applied a classical analytical approach to identify task-related activity based on the modifications of single neuron firing rate in relation to specific task events or maze trajectories. We then used an innovative approach based on Hawkes process to reconstruct a directed connectivity graph of simultaneously recorded neurons, that was used to decode animal behavior. This approach enabled us to better unravel the role of DMS and DLS neural networks across learning stages. We showed that DMS and DLS display different task-rela...