Split-half permutation based cross-validation of the prediction model of predicting behavioral PC 1 from neural PCs.

Split-half permutation based cross-validation of the prediction model of predicting behavioral PC 1 from neural PCs.

<p>The multiple linear regression models were trained using split 1 data and tested on split 2 data in each permutation. Null data were generated by shuffling individual subjects in behavioral data. The data used to generate the results can be found in <b><a href="http://www.plos...

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Bibliographic Details
Main Author: Kangjoo Lee (11648345) (author)
Other Authors: Jie Lisa Ji (15185101) (author), Clara Fonteneau (15185104) (author), Lucie Berkovitch (12465474) (author), Masih Rahmati (11058274) (author), Lining Pan (15185110) (author), Grega Repovš (8731717) (author), John H. Krystal (9699559) (author), John D. Murray (10292226) (author), Alan Anticevic (3540146) (author)
Published: 2024
Subjects:
Medicine
Neuroscience
Biotechnology
Evolutionary Biology
Developmental Biology
Mental Health
Plant Biology
highlighting cognitive function
healthy young adults
trait neural variation
trait neural variations
general neural features
activation patterns derived
behavior vary within
activation patterns
principal variations
behavioral features
activation pattern
well understood
traits ).
substance use
subject level
quantify moment
moment changes
joint analysis
exhibit day
emotion regulation
day variability
combined analysis
behavioral phenotypes
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