Instruct: Identify the main category of Biorxiv papers based on the titles and abstracts
Query: Individualized prediction of future cognition using baseline developmental changes in cortical anatomy Predictive modeling studies have started to reveal brain measures underlying cognition; however, most studies are based on cross-sectional data (static  final brain measures acquired at one time point). Since brain development comprises of continuously ongoing events leading to cognitive development, predictive modeling studies need to consider  dynamic as opposed to static  final brain measures. Using longitudinal neuroimaging and cognitive data (global executive composite score, an index of executive function) from 82 individuals (aged 5-14 years, scanned 3 times), we built highly accurate prediction models (r=0.61, p=1.6e-09) of future cognition (assessed at visit 3) based on baseline developmental changes in cortical anatomy (from visit 1 to 2). More importantly, dynamic brain measures (change in cortical anatomy from visit 1 to 2) and not static brain measures (cortical anatomy at visit 1 and 2) were critical for predicting future cognition, suggesting the need for considering dynamic brain measures in predicting cognitive outcomes.
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The categories of this paper are: plant
31
The categories of this paper are: paleontology
14
The categories of this paper are: biophysics
5
The categories of this paper are: cell
20
The categories of this paper are: pharmacology
29
The categories of this paper are: education
9
The categories of this paper are: synthetic
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The categories of this paper are: microbiology
27
The categories of this paper are: pathology
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The categories of this paper are: ecology
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The categories of this paper are: molecular
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The categories of this paper are: systems
1
The categories of this paper are: bioinformatics
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The categories of this paper are: toxicology
25
The categories of this paper are: bioengineering
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The categories of this paper are: genomics