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  • Tonic Activation of Bax Primes Neural Progenitors for Rapid Apoptosis through a Mechanism Preserved in Medulloblastoma | Journal of Neuroscience
    Commitment to survival or apoptosis within expanding progenitor populations poses distinct risks and benefits to the organism. We investigated whether specialized mechanisms regulate apoptosis in mouse neural progenitors and in the progenitor-derived brain tumor medulloblastoma. Here, we identified constitutive activation of proapoptotic Bax, maintained in check by Bcl-xL, as a mechanism for rapid cell death, common to postnatal neural progenitors and medulloblastoma. We found that tonic activation of Bax in cerebellar progenitors, along with sensitivity to DNA damage, was linked to differentiation state. In cerebellar progenitors, active Bax localized to mitochondria, where it was bound to Bcl-xL. Disruption of Bax:Bcl-xL binding by BH3-mimetic ABT 737 caused rapid apoptosis of cerebellar progenitors and primary murine medulloblastoma cells. Conditional deletion of Mcl-1, in contrast, did not cause death of cerebellar progenitors. Our findings identify a mechanism for the sensitivity of brain progenitors ...
    Nov 13, 2013 Andrew J. Crowther
  • Individual Differences in Cognition and Perception Predict Neural Processing of Speech in Noise for Audiometrically Normal Listeners | eNeuro
    Individuals with normal hearing exhibit considerable variability in their capacity to understand speech in noisy environments. Previous research suggests the cause of this variance may be due to individual differences in cognition and auditory perception. To investigate the impact of cognitive and perceptual differences on speech comprehension, 25 adult human participants with normal hearing completed numerous cognitive and psychoacoustic tasks including the Flanker, Stroop, Trail Making, reading span, and temporal fine structure tests. They also completed a continuous multitalker spatial attention task while neural activity was recorded using electroencephalography. The auditory cortical N1 response was extracted as a measure of neural speech encoding during continuous speech listening using an engineered “chirped-speech” (Cheech) stimulus. We compared N1 component morphologies of target and masker speech stimuli to assess neural correlates of attentional gains while listening to concurrently played short...
    Apr 1, 2025 Sana Shehabi
  • Postnatal Development of Dendritic Morphology and Action Potential Shape in Rat Substantia Nigra Dopaminergic Neurons | eNeuro
    Substantia nigra pars compacta (SNc) dopaminergic (DA) neurons are characterized by specific morphological and electrophysiological properties. First, in ∼90% of the cases, their axon arises from an axon-bearing dendrite (ABD) at highly variable distances from the soma. Second, they display a highly regular pattern of spontaneous activity (aka pacemaking) and a broad action potential (AP) that faithfully back-propagates through the entire dendritic arbor. In previous studies ( [Moubarak et al., 2019][1]; [Moubarak et al., 2022][2]), we demonstrated that the presence of a high density of sodium current in the ABD and the complexity of this dendrite played a critical role in the robustness of pacemaking and setting the half-width of the AP. In the current study, we investigated the postnatal development of both morphology and AP shape in SNc DA neurons in order to determine when and how the mature electrophysiological phenotype of these neurons was achieved. To do so, we performed electrophysiological record...
    Apr 1, 2025 Estelle Moubarak
  • Abstract
    Cloud processing and web visualization of petabyte images
    When image datasets fit on one machine, it’s easy to see your data, compute metrics, and share entire copies. However, once datasets grow to hundreds of gigabytes, it becomes difficult to view them, and it takes powerful hardware to compute on them. Tod...
    Nov 6, 2018
  • Abstract
    Cluster failure or power failure? Balancing the scale with sensitivity
    Summary: Pioneering work in human neuroscience has relied on the ability to map activations using task-based fMRI, but recent work posed a major challenge to the field. Conventional methods for performing multiple comparisons corrections (MCC) were show...
    Nov 5, 2018
  • Abstract
    Working memory contributions to probabilistic reinforcement learning
    Two major brain networks contribute to learning: a cortico-striatal network thought to implement instrumental, value-based reinforcement learning (RL), and a prefrontal cortex centered executive function network thought to be crucial for flexible, goal-...
    Nov 5, 2018
  • Facial Paralysis Algorithm: A Tool to Infer Facial Paralysis in Awake Mice | eNeuro
    Facial paralysis is characterized by an injury to the facial nerve, causing the loss of the functions of the structures that it innervates, as well as changes in the motor cortex. Current models have some limitations for the study of facial paralysis, such as movement restriction, the absence of studying awake animals in behavioral contexts, and the lack of a model that fully evaluates facial movements. The development of an algorithm capable of automatically inferring facial paralysis and overcoming the existing limitations is proposed in this work. In C57/BL6J mice, we produced both irreversible and reversible facial paralysis. Video recordings were made of the faces of paralyzed mice to develop an algorithm for detecting facial paralysis applied to mice, which allows us to predict the presence of reversible and irreversible facial paralysis automatically. At the same time, the algorithm was used to track facial movement during gustatory stimulation and extracellular electrophysiological recordings in th...
    Mar 1, 2025 Elías Perrusquia Hernández
  • Continuous Auditory Feedback Promotes Fine Motor Skill Learning in Mice | eNeuro
    Motor skill learning enables organisms to interact effectively with their environment, relying on neural mechanisms that integrate sensory feedback with motor output. While sensory feedback, such as auditory cues linked to motor actions, enhances motor performance in humans, its mechanism of action is poorly understood. Developing a reliable animal model of augmented motor skill learning is crucial to begin dissecting the biological systems that underpin this enhancement. We hypothesized that continuous auditory feedback during a motor task would promote complex motor skill acquisition in mice. We developed a closed-loop system using DeepLabCut for real-time markerless tracking of mouse forepaw movements with high processing speed and low latency. By encoding forepaw movements into auditory tones of different frequencies, mice received continuous auditory feedback during a reaching task requiring vertical displacement of the left forepaw to a target. Adult mice were trained over 4 d with either auditory fe...
    Mar 1, 2025 Dongsheng Xiao
  • Prenatal Ethanol Exposure Results in Cell Type, Age, and Sex-Dependent Differences in the Neonatal Striatum That Coincide with Early Motor Deficits | eNeuro
    Delayed motor development is an early clinical sign of fetal alcohol spectrum disorders. However, changes at the neural circuit level that underlie early motor differences are underexplored. The striatum, the principal input nucleus of the basal ganglia, plays an important role in motor learning in adult animals, and the maturation of the striatal circuit has been associated with the development of early motor behaviors. Here, we briefly exposed pregnant C57BL/6 dams to ethanol (5% w/w) in a liquid diet on embryonic days 13.5–16.5 and assessed the mouse progeny using a series of nine brief motor behavior tasks on postnatal days 2–14. Live brain slices were then obtained from behaviorally tested mice for whole-cell voltage- and current-clamp electrophysiology to assess GABAergic/glutamatergic synaptic activity and passive/active properties in two populations of striatal neurons: GABAergic interneurons and spiny striatal projection neurons. Electrophysiologically recorded spiny striatal projection neurons we...
    Mar 1, 2025 Adelaide R. Tousley
  • Abstract
    Toward a common, extensible cloud architecture for images to graphs
    Electron microscopy (EM) datasets used for building and analyzing connectomes will soon approach petabyte-scale. It is well understood that trained human annotation of EM datasets is accurate, yet time-consuming, costly, and not scalable. While automate...
    Nov 13, 2017
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