Biology subjects

Goard, M. J.

Publications and source records attributed to Goard, M. J..

10 recordsLinked to original sources

bioRxiv2026

Disrupted Brain Organoid Circuitry, Structural Organization, and Spine Morphology in 7q11.23 Copy Number Variant Syndromes

The 7q11.23 chromosomal region represents a model of gene dosage-dependence, where a hemizygous deletion causes Williams Syndrome (WS) and a duplication leads to 7q11.23 Duplication Syndrome (Dup7). It is not understood how these copy number variations (CNVs) disrupt development and functional cortical circuit assembly. Utilizing iPSC-derived cerebral organoids and longitudinal imaging from post-differentiation day 30 to 150, we characterized the aberrant neural rosette morphogenesis in WS and Dup7 during early stages, establishing an early structural divergence from control lines. We observed accelerated early cortical rosette morphogenesis in WS, characterized by a premature increase in both rosette number and layer thickness compared to controls. In contrast, Dup7 organoids consistently exhibit a significantly lower number and reduced thickness of rosettes from early stages onward. This early structural disruption progressively impacted synaptic-level architecture as the organoids matured. Dendritic spine characterization at later stages revealed Dup7 organoids exhibited a significantly higher dendritic spine density compared to WS. Pharmacological antagonism of CCR5 (C-C chemokine receptor type 5) with Maraviroc significantly enhanced dendritic spine density in control and WS organoids; however, this effect was absent in Dup7. To determine how these structural anomalies translate into circuit-level behavior, we performed longitudinal calcium imaging using GCaMP. Control organoids sustained synchronized activity and high spike correlations at all time points. This synchronization was delayed and highly transient in WS organoids, and completely abolished in Dup7 organoids, which exhibit significantly low spike correlations at all stages. Developmentally, GABA changes from acting as an excitatory signal in the immature brain to an inhibitory signal as the brain matures. As control lines matured gabazine-induced desynchronization progressively diminished, but persisted in WS organoids. Dup7 organoids failed to establish synchronization at any developmental time point, but displayed a negligible increased synchrony following gabazine treatment. These functional aberrations were paralleled by genotype-specific defects in structural organization, specifically in rosette morphogenesis and dendritic spine density. Collectively, our findings demonstrate that 7q11.23 CNVs trigger pathogenic neurodevelopmental defects by derailing the trajectories of structural organization, circuit assembly, and functional synchronization during cortical maturation.

neuroscience↗

bioRxiv2024

The estrous cycle modulates hippocampal spine dynamics, dendritic processing, and spatial coding

AbstractHistological evidence suggests that the estrous cycle exerts a powerful effect on CA1 neurons in mammalian hippocampus. Decades have passed since this landmark observation, yet how the estrous cycle shapes dendritic spine dynamics and hippocampal spatial coding in vivo remains a mystery. Here, we used a custom hippocampal microperiscope and two-photon calcium imaging to track CA1 pyramidal neurons in female mice over multiple cycles. Estrous cycle stage had a potent effect on spine dynamics, with heightened density during periods of greater estradiol (proestrus). These morphological changes were accompanied by greater somatodendritic coupling and increased infiltration of back-propagating action potentials into the apical dendrite. Finally, tracking CA1 response properties during navigation revealed enhanced place field stability during proestrus, evident at the single-cell and population level. These results establish the estrous cycle as a driver of large-scale structural and functional plasticity in hippocampal circuits essential for learning and memory.

neuroscience↗

bioRxiv2024

Robust variability of grid cell properties within individual grid modules enhances encoding of local space

Although grid cells are one of the most well studied functional classes of neurons in the mammalian brain, whether there is a single orientation and spacing value per grid module has not been carefully tested. We analyze a recent large-scale recording of medial entorhinal cortex to characterize the presence and degree of heterogeneity of grid properties within individual modules. We find evidence for small, but robust, variability and hypothesize that this property of the grid code could enhance the encoding of local spatial information. Performing analysis on synthetic populations of grid cells, where we have complete control over the amount heterogeneity in grid properties, we demonstrate that grid property variability of a similar magnitude to the analyzed data leads to significantly decreased decoding error. This holds even when restricted to activity from a single module. Our results highlight how the heterogeneity of the neural response properties may benefit coding and opens new directions for theoretical and experimental analysis of grid cells.

neuroscience↗

bioRxiv2022

Differential Stability of Task Variable Representations in Retrosplenial Cortex

Cortical neurons store information across different timescales, from seconds to years. Although information stability is variable across regions, it can vary within a region as well. Association areas are known to multiplex behaviorally relevant variables, but the stability of their representations is not well understood. Here, we longitudinally recorded the activity of neuronal populations in the retrosplenial cortex (RSC) during the performance of a context-choice association task. We found that the activity of neurons exhibits different levels of stability across days. Using linear classifiers, we quantified the stability of three task-relevant variables. We find that RSC representations of context and trial outcome display higher stability than motor choice, both at the single cell and population levels. Together, our findings show an important characteristic of association areas, where diverse streams of information are stored with varying levels of stability, which may balance representational reliability and flexibility according to behavioral demands.

neuroscience↗

bioRxiv2022

Coregistration of heading to visual cues in retrosplenial cortex

Spatial cognition depends on an accurate representation of orientation within an environment. Head direction cells in distributed brain regions receive a range of sensory inputs, but visual input is particularly important for aligning their responses to environmental landmarks. To investigate how population-level heading responses are aligned to visual input, we recorded from retrosplenial cortex (RSC) of head-fixed mice in a moving environment using two-photon calcium imaging. We show that RSC neurons are tuned to the animals relative orientation in the environment, even in the absence of head movement. Next, we found that RSC receives functionally distinct projections from visual and thalamic areas, and contains several functional classes of neurons. While some functional classes mirror RSC inputs, a newly discovered class coregisters visual and thalamic signals. Finally, decoding analyses reveal unique contributions to heading from each class. Our results suggest an RSC circuit for anchoring heading representations to environmental visual landmarks.

neuroscience↗

bioRxiv2021

Long-term Transverse Imaging of the Hippocampus with Glass Microperiscopes

The hippocampus consists of a stereotyped neuronal circuit repeated along the septal-temporal axis. This transverse circuit contains distinct subfields with stereotyped connectivity that support crucial cognitive processes, including episodic and spatial memory. However, comprehensive measurements across the transverse hippocampal circuit in vivo are intractable with existing techniques. Here, we developed an approach for two-photon imaging of the transverse hippocampal plane in awake mice via implanted glass microperiscopes, allowing optical access to the major hippocampal subfields and to the dendritic arbor of pyramidal neurons. Using this approach, we tracked dendritic morphological dynamics on CA1 apical dendrites and characterized spine turnover. We then used calcium imaging to quantify the prevalence of place and speed cells across subfields. Finally, we measured the anatomical distribution of spatial information, finding a non-uniform distribution of spatial selectivity along the DG-to-CA1 axis. This approach extends the existing toolbox for structural and functional measurements of hippocampal circuitry.

neuroscience↗

bioRxiv2021

Inhibiting retinoic acid mitigates vision loss in a mouse model of retinal degeneration

In degenerative retinal disorders, rod and cone photoreceptors die, causing vision impairment and blindness. Downstream neurons survive but undergo morphological and physiological remodeling, with some retinal ganglion cells (RGC) exhibiting heightened spontaneous firing. Retinoic acid (RA) has been implicated as the key signaling molecule that induces RGC hyperactivity, obscuring RGC light responses and reducing light avoidance behaviors triggered by residual rods and cones. However, evidence that RA-dependent remodeling corrupts image-forming vision has been lacking. Here we show that disulfiram, an FDA-approved drug that inhibits RA synthesis, and BMS 493, an RA receptor (RAR) inhibitor, reduce RGC hyperactivity and augment image detection in visually impaired mice. Functional imaging of visual cortical neurons shows that disulfiram and BMS 493 sharpen orientation-tuning and strengthen response fidelity to naturalistic scenes. These findings establish a causal link between RA-induced retinal hyperactivity and vision impairment and define molecular targets and candidate drugs for boosting image-forming vision in retinal degeneration.

neuroscience↗

bioRxiv2020

A distributed circuit for associating environmental context to motor choice in retrosplenial cortex

During navigation, animals often use recognition of familiar environmental contexts to guide motor action selection. The retrosplenial cortex (RSC) receives inputs from both visual cortex and subcortical regions required for spatial memory, and projects to motor planning regions. However, it is not known whether RSC is important for associating familiar environmental contexts with specific motor actions. Here, we test this possibility by developing a task in which trajectories are chosen based on the context. We find that mice exhibit differential pre-decision activity in RSC, and that optogenetic suppression of RSC activity impairs task performance. Individual RSC neurons encode a range of task variables, often multiplexed with distinct temporal profiles. However, the responses are spatiotemporally organized, with task variables represented along a posterior-to-anterior gradient along RSC during the behavioral performance, consistent with histological characterization. These results reveal an anatomically-organized retrosplenial cortical circuit for associating environmental contexts to appropriate motor outputs.

neuroscience↗

bioRxiv2020

Stimulus-dependent representational drift in primary visual cortex

To produce consistent sensory perception, neurons must maintain stable representations of sensory input. However, neurons in many regions exhibit progressive drift across days. Longitudinal studies have found stable responses to artificial stimuli across sessions in primary sensory areas, but it is unclear whether this stability extends to naturalistic stimuli. We performed chronic 2-photon imaging of mouse V1 populations to directly compare the representational stability of artificial versus naturalistic visual stimuli over weeks. Responses to gratings were highly stable across sessions. However, neural responses to naturalistic movies exhibited progressive representational drift across sessions. Differential drift was present across cortical layers, in inhibitory interneurons, and could not be explained by differential response strength or higher order stimulus statistics. However, representational drift was accompanied by similar differential changes in local population correlation structure. These results suggest representational stability in V1 is stimulus-dependent and related to differences in preexisting circuit architecture of co-tuned neurons.

neuroscience↗

bioRxiv2019

Distributed and Retinotopically Asymmetric Processingn of Coherent Motion in Mouse Visual Cortex

Perception of visual motion is important for a range of ethological behaviors in mammals. In primates, specific higher visual cortical regions are specialized for processing of coherent visual motion. However, the distribution of motion processing among visual cortical areas in mice is unclear, despite the powerful genetic tools available for measuring population neural activity. Here, we used widefield and 2-photon calcium imaging of transgenic mice expressing a calcium indicator in excitatory neurons to measure mesoscale and cellular responses to coherent motion across the visual cortex. Imaging of primary visual cortex (V1) and several higher visual areas (HVAs) during presentation of natural movies and random dot kinematograms (RDKs) revealed heterogeneous responses to coherent motion. Although coherent motion responses were observed throughout visual cortex, particular HVAs in the putative dorsal stream (PM, AL, AM) exhibited stronger responses than ventral stream areas (LM and LI). Moreover, beyond the differences between visual areas, there was considerable heterogeneity within each visual area. Individual visual areas exhibited an asymmetry across the vertical retinotopic axis (visual elevation), such that neurons representing the inferior visual field exhibited greater responses to coherent motion. These results indicate that processing of visual motion in mouse cortex is distributed unevenly across visual areas and exhibits a spatial bias within areas, potentially to support processing of optic flow during spatial navigation.

neuroscience↗