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Einhorn, M.

Publications and source records attributed to Einhorn, M..

2 recordsLinked to original sources

Dynamics of spike time encoding in the olfactory bulb

In the mammalian olfactory bulb (OB), gamma oscillations in the local field potential are generated endogenously during odor sampling. Such oscillations arise from dynamical systems that generate organized periodic behavior in neural circuits, and correspond to spike timing constraints at fine timescales. While the cellular and network mechanisms of gamma oscillogenesis in the OB are reasonably well established, it remains unclear how these fine-timescale dynamics serve to represent odors. Are patterns of spike synchrony on the gamma timescale replicable and odor-specific? Does the transformation to a spike-timing metric embed additional computations? To address these questions, we used OB slices to examine the spike timing dynamics evoked by "fictive odorants" generated via spatiotemporally patterned optogenetic stimulation of olfactory sensory neuron axonal arbors. We found that a small proportion of mitral/tufted cells phase-lock strongly to the fast oscillations evoked by fictive odorants, and exhibit tightly coupled spike-spike synchrony on the gamma timescale during this stimulation. Moreover, the specific population of synchronized neurons differed based on the "quality", but not the "concentration", of the fictive odorant presented, and was conserved across multiple presentations of the same fictive odorant. Given the established selectivity of piriform cortical pyramidal neurons for inputs synchronized on this timescale, we conclude that spike synchronization on a milliseconds timescale is a metric by which the OB encodes and exports afferent odor information in a concentration-invariant manner. As a corollary, mitral/tufted cell spikes that are not organized in time may not contribute effectively to the ensemble odor representation.

neuroscience↗

Performance comparison: exome-sequencing as a single test replacing Sanger-sequencing

Systematic performance comparing the results of exome-sequencing as a single test replacing Sanger-sequencing of targeted gene(s) is still lacking. In this study we compared Sanger-sequencing results of 258 genes to those obtained from next generation sequencing (NGS) using two exome-sequencing enrichment kits: Agilent-SureSelectQXT and Illumina-Nextera. Sequencing was performed on leukocytes and buccal-derived DNA from a single individual, and all 258 genes were sequenced a total of 11 times (using different sequencing methods and DNA sources). Sanger-sequencing was completed for all exons, including flanking {+/-}8bp regions. For the 258 genes, NGS mean coverage was >20x for >98% and >91% of the regions targeted by SureSelect and Nextera, respectively. Overall, 449 variants were identified in at least one experiment, and 407/449 (90.6%) were detected by all. Of the 42 discordant variants, 23 were determined as true calls, summing-up to a truth set of 430 variants. Sensitivity of true-variant detection was 99% for Sanger-sequencing and 97%-100% for the NGS experiments. Mean false-positive rates were 3.7E-6 for Sanger-sequencing, 2.5E-6 for SureSelect-NGS and 5.2E-6 for Nextera-NGS. Our findings suggest a high overall concordance between Sanger-sequencing and NGS. Both methods demonstrated false positive and false negative calls and similar performances. Consequently, high clinical suspicion for a specific diagnosis should override negative results of either Sanger-sequencing or NGS.

genetics↗