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3611 - 3620 of 52764 results
  • Journal Article
    Alpha oscillations track content-specific working memory capacity | Journal of Neuroscience
    Though the neural basis of working memory (WM) capacity is often studied by exploiting inter-individual differences, capacity may also differ across memory materials within a given individual. Here, we exploit the content-dependence of WM capacity as a novel approach to investigate the oscillatory correlates of WM capacity, focusing on posterior 9-12 Hz alpha activity during retention. We recorded scalp electroencephalography (EEG) while male and female human participants performed WM tasks with varying memory loads (2 vs. 4 items) and materials (English letters vs. regular shapes vs. abstract shapes). First, behavioural data confirmed that memory capacity was fundamentally content-dependent: capacity for abstract shapes plateaued at around two, while the participants could remember more letters and regular shapes. Critically, content-specific capacity was paralleled in the degree of attenuation of EEG-alpha activity that plateaued in a similar, content-specific, manner. While we observed greater alpha att...
    Aug 22, 2022 Ya-Ting Chen
  • Journal Article
    Phase advancing is a common property of multiple neuron classes in the mouse retina | eNeuro
    Behavioral interactions with moving objects are challenged by response latencies within the sensory and motor nervous systems. In vision, the combined latency from phototransduction and synaptic transmission from the retina to central visual areas amounts to 50-100 ms, depending on stimulus conditions. Time required for generating appropriate motor output adds to this latency and further compounds the behavioral delay. Neuronal adaptations that help counter sensory latency within the retina have been demonstrated in some species, but how general these specializations are, and where in the circuitry they originate, remains unclear. To address this, we studied the timing of object motion-evoked responses at multiple signaling stages within the mouse retina using two-photon fluorescence calcium and glutamate imaging, targeted whole-cell electrophysiology, and computational modeling. We found that both ON and OFF-type ganglion cells, as well as the bipolar cells that innervate them, temporally advance the posi...
    Aug 22, 2022 Victor J. DePiero
  • Journal Article
    Abstinence-dependent effects of long-access cocaine self-administration on nucleus accumbens astrocytes are observed in male, but not female rats | eNeuro
    Accumulating evidence indicates significant consequences for astrocytes associated with drug abuse. For example, reductions in structural features and synaptic colocalization of male rat nucleus accumbens (NAc) astrocytes are observed following short-access (ShA, 2 hours/day) self-administration and extinction from cocaine, methamphetamine, and heroin. However, it is unknown whether these observations extend to other rodent models of drug abuse, how enduring these effects may be, and whether similar effects are observed in female rats. Here we assess the effects of long-access (LgA, 6 hours/day) cocaine self-administration and abstinence on NAc astrocytes separately in male and female rats, employing a commonly used behavioral approach to investigate the incubation of cocaine craving. NAc astrocytes from male rats exhibit extensive (∼40%) reductions in surface area, volume, and postsynaptic colocalization 45 days, but not 24 hours after the last self-administration session. In contrast, no effect of self-a...
    Aug 19, 2022 Ronald Kim
  • Journal Article
    Dynamics of Hierarchical Task Representations | Journal of Neuroscience
    Task representations are critical for cognitive control and adaptive behavior. The hierarchical organization of task representations allows humans to maintain goals, integrate information across varying contexts, and select potential responses. In this study we characterized the structure and interactive dynamics of task representations that facilitate cognitive control. Human participants (both males and females) performed a hierarchical task that required them to select a response rule while considering the contingencies from different contextual inputs. By applying time- and frequency-resolved representational similarity analysis to human electroencephalography data, we characterized properties of task representations that are otherwise difficult to observe. We found that participants formed multiple representations of task-relevant contexts and features from the presented stimuli, beyond simple stimulus-response mappings. These disparate representations were hierarchically structured, with higher-order...
    Aug 19, 2022 Dillan Cellier
  • Journal Article
    STAT1 contributes to microglial/macrophage inflammation and neurological dysfunction in a mouse model of traumatic brain injury | Journal of Neuroscience
    Traumatic brain injury (TBI) triggers a plethora of inflammatory events in the brain that aggravate secondary injury and impede tissue repair. Resident microglia (Mi) and blood-borne infiltrating macrophages (MΦ) are major players of inflammatory responses in the post-TBI brain and possess high functional heterogeneity. However, the plasticity of these cells has yet to be exploited to develop therapies that can mitigate brain inflammation and improve the outcome after TBI. This study investigated the transcription factor STAT1 as a key determinant of proinflammatory Mi/MΦ responses and aimed to develop STAT1 as a novel therapeutic target for TBI using a controlled cortical impact model of TBI on adult male mice. TBI induced robust upregulation of STAT1 in the brain at the subacute injury stage, which occurred primarily in Mi/MΦ. Intraperitoneal administration of fludarabine, a selective STAT1 inhibitor, markedly alleviated proinflammatory Mi/MΦ responses and brain inflammation burden after TBI. Such phenot...
    Aug 19, 2022 Yongfang Zhao
  • Journal Article
    Hierarchical Individual Naturalistic Functional Brain Networks with Group Consistency uncovered by a Two-Stage NAS-Volumetric Sparse DBN Framework | eNeuro
    The functional magnetic resonance imaging under naturalistic paradigm (NfMRI) showed great advantages in identifying complex and interactive functional brain networks due to its dynamics and multimodal information. In recent years, various deep learning models, such as deep convolutional autoencoder (DCAE), deep belief network (DBN) and volumetric sparse deep belief network (vsDBN), can obtain hierarchical functional brain networks (FBN) and temporal features from fMRI data. Among them, the vsDBN model revealed a good capability in identifying hierarchical FBNs by modelling fMRI volume images. However, due to the high dimensionality of fMRI volumes and the diverse training parameters of deep learning methods, especially the network architecture that is the most critical parameter for uncovering the hierarchical organization of human brain function, researchers still face challenges in designing an appropriate deep learning framework with automatic network architecture optimization to model volumetric NfMRI...
    Aug 19, 2022 Shuhan Xu
  • Journal Article
    Uncovering the locus of object-context-based modulations in depth processing using repetitive transcranial magnetic stimulation | eNeuro
    Neural responses of V7 and LOC have been shown to correlate with changes in behavioural metrics of depth-sensitivity observed as a function of object-context, although it is unclear as to whether the behavioural manifestation results from an alteration of early depth-specific responses in V7 or arise a result of alterations of object-level representations at LOC that subsequently feedback to affecting disparity readouts in dorsal cortex. Here, we used online transcranial magnetic stimulation to examine the roles of these two areas in giving rise to context-disparity interactions. Stimuli were disparity-defined geometric objects rendered as random-dot stereograms, presented in geometrically plausible and implausible variations. Observers’ sensitivity to depth (depth discrimination) or object identity (plausibility discrimination) was indexed whilst receiving rTMS at one of the two sites of interest (V7, LOC) along with a control site (Cz). TMS over LOC produced results no different from TMS over baseline Cz...
    Aug 18, 2022 Nicole H.L. Wong
  • Journal Article
    341 Repeats is Not Enough for Methylation in a New Fragile X Mouse Model | eNeuro
    Fragile X Syndrome (FXS) is a leading monogenic cause of intellectual disability and autism spectrum disorders, spurring decades of intense research and a multitude of mouse models. So far, these models do not recapitulate the genetic underpinning of classical FXS - CGG repeat-induced methylation of the Fmr1 locus - and their findings have failed to translate into the clinic. We sought to answer whether this disparity was due to low repeat length and generated a novel mouse line with 341 repeats, Fmr1hs341 , which is the largest allele in mice reported to date. This repeat length is significantly longer than the 200 repeats generally required for methylation of the repeat tract and promoter region in FXS patients, which leads to silencing of the FMR1 gene. Bisulfite sequencing fails to detect the robust methylation expected of FXS in Fmr1hs341 mice. qRT-PCR and Western blotting results also do not resemble FXS, and instead produce a biochemical profile consistent with the Fragile X-associated premutation d...
    Aug 17, 2022 Steven Colvin
  • Journal Article
    Dscam1 has diverse neuron type specific functions in the developing Drosophila CNS | eNeuro
    Two key features endow Drosophila Dscam1 with the potential to provide a ubiquitous code for neuronal arbor self-avoidance. First, Dscam1 contains three large cassettes of alternative exons, so that stochastic alternative splicing yields 19,008 Dscam1 isoforms with different Ig ectodomains. Second, each neuron expresses a different subset of Dscam1 isoforms, and isoform-specific homophilic binding causes repulsion. This results in even spacing of self-arbors, while processes of other neurons can intermingle and share the same synaptic partners. In principle, this Dscam1 code could ensure arbor spacing of all neurons in Drosophila. This model is strongly supported by studies on dendrite spacing in the peripheral nervous system and studies on axonal branch segregation during brain development. However, the situation is less clear for central neuron dendrites, the major substrate for synaptic input in the CNS. We systematically tested the role of Dscam1 for dendrite growth and spacing in 8 different types of ...
    Aug 17, 2022 Nicole Wilhelm
  • Journal Article
    T-Type Ca2+ Channels Boost Neurotransmission in Mammalian Cone Photoreceptors | Journal of Neuroscience
    It is a commonly accepted view that light stimulation of mammalian photoreceptors causes a graded change in membrane potential instead of developing a spike. The presynaptic Ca2+ channels serve as a crucial link for the coding of membrane potential variations into neurotransmitter release. Cav1.4 L-type Ca2+ channels are expressed in photoreceptor terminals, but the complete pool of Ca2+ channels in cone photoreceptors appears to be more diverse. Here, we discovered, employing whole-cell patch-clamp recording from cone photoreceptor terminals in both sexes of mice, that their Ca2+ currents are composed of low- (T-type Ca2+ channels) and high- (L-type Ca2+ channels) voltage-activated components. Furthermore, Ca2+ channels exerted self-generated spike behavior in dark membrane potentials, and spikes were generated in response to light/dark transition. The application of fast and slow Ca2+ chelators revealed that T-type Ca2+ channels are located close to the release machinery. Furthermore, capacitance measure...
    Aug 17, 2022 Adam Davison
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