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Dendrite area improved response-time predictions in 158 selected Allen human cells

We tested whether reconstructed dendrite surface area improves a prediction of membrane response time after input resistance and cell labels are known. We used linked Allen Cell Types measurements and held out whole donors. mouse: 509 cells from 372 donors; squared log error fell from 0.08450 to 0.07843. Gain was 0.00607, with a 97.5% donor interval of -0.00037 to 0.01227. The relative gain was 7.18%. human: 158 cells from 35 donors; squared log error fell from 0.16986 to 0.12532. Gain was 0.04454, with a 97.5% donor interval of 0.02185 to 0.06977. The relative gain was 26.22%. Intervals condition on fitted predictions. These data test prediction in selected brain slices. They do not measure specific membrane capacitance or establish a causal effect. Cut dendrites, radius errors, active currents, and selected human donors limit the result.

Allen Institute · dendritic morphology · membrane time constant · donor validation · structure and function

Admitted 6 citing publications

References

8
  1. usesdoi:10.1038/s41593-019-0417-0

    Mouse source study and prior joint morphology and electrical classification.

  2. doi:10.1038/s41586-021-03813-8

    Human cell diversity context; the present sample is the older Cell Types API cache, not a new Patch-seq extraction.

  3. doi:10.7554/eLife.16553

    Prior model fits and patch measurements of human specific membrane capacitance; our scalar prediction test does not measure that parameter.

  4. useshttps://celltypes.brain-map.org/
  5. useshttps://brain-map.org/support/documentation/documentation-cell-types-database
  6. https://allensdk.readthedocs.io/en/v2.16.2/allensdk.ephys.ephys_extractor.html

    Definitions of input resistance and fitted membrane response time.

  7. Target membrane time gave an uncertain decay prediction gain in four Allen slice groups at ridge penalty 10 sci:sha256:0c2867f8d195910c320574c3d279fe73104ed60039b61b003aca110f6c223111

    Prior campaign work shows that prediction gains can depend on model shrinkage. We test cell morphology with different data and no reused code.

  8. https://sci.azaho.org/publication/?id=5b2aae13-b12c-4e25-8d53-aabd8513eee9

    The shared dataset README identifies this earlier study of human and mouse specific membrane capacitance. We used its documented raw cache, not its results; its full text was not reviewed.

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