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Enum: ResultKind

The kind of analysis a result came from, coarse enough to read from a table or a sentence. An analysis the record models in full states its method in details and its test in Effect.kind; this is the label for a coordinate set either way. Open vocabulary.

URI: parse:ResultKind

Permissible Values

Value Meaning Description
contrast None Conditions, groups or tasks compared (A > B, patients > controls)
association None Signal varying with a continuous variable: a correlation, a parametric modula...
multivariate None Decoding, searchlight, classifier weights, representational similarity
morphometric None A structural effect -- volume, thickness, density, shape
lesion None Lesion locations, or lesion-symptom and lesion-network mapping
connectivity None Regions whose connectivity with a seed is the finding

In Subsets

Identifier and Mapping Information

Schema Source

  • from schema: https://neurostuff.org/schemas/neuroimaging-paper-parse

LinkML Source

name: ResultKind
description: The kind of analysis a `result` came from, coarse enough to read from
  a table or a sentence. An analysis the record models in full states its method in
  `details` and its test in `Effect.kind`; this is the label for a coordinate set
  either way. Open vocabulary.
in_subset:
- mvp
- model_extracted
from_schema: https://neurostuff.org/schemas/neuroimaging-paper-parse
rank: 1000
permissible_values:
  contrast:
    text: contrast
    description: Conditions, groups or tasks compared (A > B, patients > controls).
    in_subset:
    - mvp
    - model_extracted
  association:
    text: association
    description: 'Signal varying with a continuous variable: a correlation, a parametric
      modulation, a regression on symptoms, age or performance.'
    in_subset:
    - mvp
    - model_extracted
  multivariate:
    text: multivariate
    description: Decoding, searchlight, classifier weights, representational similarity.
    in_subset:
    - mvp
    - model_extracted
  morphometric:
    text: morphometric
    description: A structural effect -- volume, thickness, density, shape.
    in_subset:
    - mvp
    - model_extracted
  lesion:
    text: lesion
    description: Lesion locations, or lesion-symptom and lesion-network mapping.
    in_subset:
    - mvp
    - model_extracted
  connectivity:
    text: connectivity
    description: Regions whose connectivity with a seed is the finding. The seed itself
      is an `anchor`.
    in_subset:
    - mvp
    - model_extracted