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7 results for “piriform cortex”
Recurrent circuitry is required to stabilize piriform cortex odor representations across brain states
<p>Pattern completion, or the ability to retrieve stable neural activity patterns from noisy or partial cues, is a fundamental feature of memory. Theoretical studies indicate that recurrently connected auto-associative or discrete attractor networks can perform this process. Although pattern completion and attractor dynamics have been observed in various recurrent neural circuits, the role recurrent circuitry plays in implementing these processes remains unclear. In recordings from head-fixed mice, we found that odor responses in olfactory bulb degrade under ketamine/ xylazine anesthesia, while responses immediately downstream, in piriform cortex, remain robust. Recurrent connections are required to stabilize cortical odor representations across states. Moreover, piriform odor representations exhibit attractor dynamics, both within and across trials, and these are also abolished when recurrent circuitry is eliminated. Here, we present converging evidence that recurrently-connected piriform populations stabilize sensory representations in response to degraded inputs, consistent with an auto-associative function for piriform cortex supported by recurrent circuitry.</p>
Intermediate Data Files for Amygdala and Posterior Piriform Cortex RNA-ATAC Analysis
<p>### Description of Data Files</p> <p>This dataset contains intermediate data files generated for the analysis of RNA and ATAC sequencing data from the amygdala and posterior piriform cortex. The files include ATAC-seq peak data, LOESS regression results, differential expression analysis, Gene Ontology (GO) analysis results, marker gene lists, and Seurat objects for further integrative analysis. Scripts and computational workflow can be found at https://github.com/karmaout/SOC_Multiomic_sequencing.</p> <table> <tbody> <tr> <th><strong>Filename</strong></th> <th><strong>Description</strong></th> </tr> <tr> <td>PC_PR_Pyramidal_cfos_positive_atac.bed</td> <td>BED file containing ATAC-seq peaks for cfos-positive VGLUT1a neurons in the PC under PR conditions.</td> </tr> <tr> <td>BLA_PR_VGLUT1_cfos_positive_atac.bed</td> <td>BED file with ATAC-seq peaks for cfos-positive VGLUT1 neurons in the BLA under PR conditions.</td> </tr> <tr> <td>PC_PE_Pyramidal_cfos_negative_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-negative VGLUT1a neurons in the PC under PE conditions.</td> </tr> <tr> <td>PC_PR_loess_regression_data.csv</td> <td>CSV file containing data for LOESS regression analysis in the PC under PR conditions.</td> </tr> <tr> <td>BLA_cfos_percentages_raw_data.csv</td> <td>Raw data of cfos expression percentages in different neuron populations in the BLA.</td> </tr> <tr> <td>PC_PE_loess_regression_data.csv</td> <td>LOESS regression data for the PC under PE conditions.</td> </tr> <tr> <td>PC_neuron_cluster_markers.csv</td> <td>CSV file listing marker genes for PC neuron clusters.</td> </tr> <tr> <td>BLA_PE_VGLUT1_cfos_positive_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-positive VGLUT1 neurons in the BLA under PE conditions.</td> </tr> <tr> <td>BLA_PR_VGLUT1_cfos_negative_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-negative VGLUT1 neurons in the BLA under PR conditions.</td> </tr> <tr> <td>BLA_Subcluster_Differential_Expression_Results(with Fos).xlsx</td> <td>Differential expression results for BLA subclusters with Fos gene.</td> </tr> <tr> <td>PC_Aggregation.csv</td> <td>Aggregated data for PC neurons, summarizing key statistics or metrics.</td> </tr> <tr> <td>PC_Subcluster_Differential_Expression_Results_PC(with Fos).xlsx</td> <td>Differential expression results for PC subclusters with Fos gene.</td> </tr> <tr> <td>PC_cfos_percentages_raw_data.csv</td> <td>Raw percentages of cfos expression in different PC neuron subclusters.</td> </tr> <tr> <td>PC_PE_Pyramidal_cfos_positive_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-positive Pyramidal neurons in the PC under PE conditions.</td> </tr> <tr> <td>PC_PR_Pyramidal_cfos_negative_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-negative Pyramidal neurons in the PC under PR conditions.</td> </tr> <tr> <td>BLA_PR_loess_regression_data.csv</td> <td>LOESS regression analysis data for the BLA under PR conditions.</td> </tr> <tr> <td>BLA_GO_analysis_results_all_combined.xlsx</td> <td>Combined Gene Ontology (GO) analysis results for BLA neuron populations.</td> </tr> <tr> <td>PC_GO_analysis_results_all_combined.xlsx</td> <td>Combined GO analysis results for PC neuron populations.</td> </tr> <tr> <td>BLA_PR_anno_sorted_foldchange.txt</td> <td>Annotated fold change data for BLA under PR conditions.</td> </tr> <tr> <td>BLA_PE_anno_sorted_foldchange.txt</td> <td>Annotated fold change data for BLA under PE conditions.</td> </tr> <tr> <td>PC_PR_anno_sorted_foldchange.txt</td> <td>Annotated fold change data for PC under PR conditions.</td> </tr> <tr> <td>PC_PE_anno_sorted_foldchange.txt</td> <td>Annotated fold change data for PC under PE conditions.</td> </tr> <tr> <td>BLA_PE_loess_regression_data.csv</td> <td>Data from LOESS regression analysis in the BLA under PE conditions.</td> </tr> <tr> <td>BLA_PE_VGLUT1_cfos_negative_atac.bed</td> <td>BED file for ATAC-seq peaks of cfos-negative VGLUT1 neurons in the BLA under PE conditions.</td> </tr> <tr> <td>BLA_neuron_cluster_markers.csv</td> <td>Marker genes for various neuron clusters in the BLA.</td> </tr> <tr> <td>BLA_Aggregation.csv</td> <td>Aggregated data for BLA neurons, summarizing key metrics or statistics.</td> </tr> <tr> <td>BLA_neurons.rds</td> <td>RDS file of the Seurat object for BLA neurons containing RNA and ATAC analysis.</td> </tr> <tr> <td>PC_neurons.rds</td> <td>RDS file of the Seurat object for PC neurons with integrated RNA and ATAC data.</td> </tr> <tr> <td>BLA_matrix-scan.ft.txt</td> <td>Matrix scan results for motif analysis in the BLA.</td> </tr> <tr> <td>PC_coord_anno.txt</td> <td>Annotated genomic coordinates for PC, used for integrative analysis.</td> </tr> <tr> <td>BLA_coord_anno.txt</td> <td>Annotated genomic coordinates for BLA.</td> </tr> <tr> <td>PC_matrix-scan.ft.txt</td> <td>Matrix scan results for motif analysis in the PC.</td> </tr> </tbody> </table>
Recurrent circuitry is required to stabilize piriform cortex odor representations across brain states
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Characterising the Network-Specific Effects of Piriform Cortex Stimulation Via SEEG
ClinicalTrials.gov study NCT07305311. IPD Sharing: NO. Countries: 1. Publications: 0.
Transcriptional profiling of piriform cortex from a mouse model of Huntington's disease (Q140)
GEO Series GSE271025. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Higher-Order Olfactory Threat Associations in the Amygdala-Posterior Piriform Cortex Network
GEO Series GSE280826. Rattus norvegicus. 48 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Piriform Cortex Electrical Stimulation for Temporal Lobe Epilepsy With Biliteral Hippocampus Sclerosis
ClinicalTrials.gov study NCT07128563. IPD Sharing: NO. Countries: 0. Publications: 0.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.