semiauto_ma_features

semiauto_ma_features#

You can see the full contents of this project on GitHub.

`Semi-automated fMRI Meta-Analysis features`#

Annotation of the tasks, conditions and contrasts used in an fMRI study, that would be useful to extract to help users perform a semi-automated meta-analysis in Neurosynth Compose

Papers#

How the papers were obtained#

Papers annotated were the same as used in the participant_demographics project, in order to maximize re-usability of that dataset.

Annotations#

The goal is to annotate features useful for a semi-automated MA. The schema of the features is inspied by NeuroVault upload schema for simplicity;

Modality: imaging modality. For simplicity, this categorical variable is split onto into several labels for each level
TaskName: explicit mention of a task name (e.g. Stroop). For resting-state fMRI, if no task given, highlight first char of doc and specify “rest” as task label name
TaskDescription: a description of the task. Especially useful when no explicit name given
Condition: a condition name (e.g. “Congruent”)
ContrastDefinition: a specific contrast specificaiton (e.g. “Congruent>Incongruent”)

Instructions for annotators#

At least highlight all first occurances of each Condition and ContrastDefinition. If these exact phrases are repeated, you can search and highlight, or leave blank and will autofill later. For now, skipping Discussion section, but pay attention to Table captions

To identify problem areas, all annotators will focus on the first batch at first, but then we will split across remaining batches to expediency.