fMRI Data on Semantic Predictive Processing and Adaptation

Comprising functional Magnetic Resonance Imaging (fMRI) data from a study examining the neuroanatomical networks involved in semantic predictive processing. The research used a relatedness proportion semantic priming paradigm to manipulate prediction probabilities while holding local semantic context constant. The data was collected by author Kirsten Weber and was last updated in June 2020.

Use Cases

• Analyze fMRI activation patterns in the left anterior superior/middle temporal cortex under conditions of high versus low predictive validity.
• Investigate functional connectivity between the left inferior frontal gyrus and left posterior superior/middle temporal gyrus related to semantic prediction suppression.
• Examine the role of the left anterior cingulate cortex in network connectivity with superior lateral frontal cortices and subcortical regions during predictive processing adaptation.

Strengths

• Data originates from a peer-reviewed fMRI study on semantic predictive processing.
• The dataset is published under a CC0 1.0 public domain license, allowing for broad reuse.
• Study design includes a manipulated relatedness proportion semantic priming paradigm.

Limitations

• Specific data structure details such as column names, row count, and file formats are unknown.
• The sample size (number of participants or scans) is not provided in the input.
• The temporal and geographic coverage of the data collection is unspecified.

Provenance

Source

dryad

Collection Method

Data collected via functional Magnetic Resonance Imaging (fMRI) during a semantic priming experiment.

Freshness

Last updated on 2020-06-24.