ArticleHuman brain mapping2015
Reproducibility of brain-cognition relationships using three cortical surface-based protocols: An exhaustive analysis based on cortical thickness.
Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- The Dorsolateral Prefrontal Cortex Presents Structural Variations Associated with Empathy and Emotion Regulation in Psychotherapists.Brain topography · 2022Article
- Empirical facts from search for replicable associations between cortical thickness and psychometric variables in healthy adults.Scientific reports · 2022Article
- Linking interindividual variability in brain structure to behaviour.Nature reviews. Neuroscience · 2022Review
- Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study.Molecular psychiatry · 2021Article
- A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System.Scientific reports · 2021Article
- Brain resilience across the general cognitive ability distribution: Evidence from structural connectivity.Brain structure & function · 2021Article
- Influence of Processing Pipeline on Cortical Thickness Measurement.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Mapping Mind-Brain Development: Towards a Comprehensive Theory.Journal of Intelligence · 2020Review
- Brain structure links trait conscientiousness to academic performance.Scientific reports · 2019Article
- Atypical age-dependency of executive function and white matter microstructure in children and adolescents with autism spectrum disorders.European child & adolescent psychiatry · 2017Article
- Global associations between regional gray matter volume and diverse complex cognitive functions: evidence from a large sample study.Scientific reports · 2017Article
- Structural brain connectivity and cognitive ability differences: A multivariate distance matrix regression analysis.Human brain mapping · 2017Article
- Associations between Family Adversity and Brain Volume in Adolescence: Manual vs. Automated Brain Segmentation Yields Different Results.Frontiers in neuroscience · 2016Article
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Authors and funding
13 authors.
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Abstract
People differ in their cognitive functioning. This variability has been exhaustively examined at the behavioral, neural and genetic level to uncover the mechanisms by which some individuals are more cognitively efficient than others. Studies investigating the neural underpinnings of interindividual differences in cognition aim to establish a reliable nexus between functional/structural properties of a given brain network and higher order cognitive performance. However, these studies have produced inconsistent results, which might be partly attributed to methodological variations. In the current study, 82 healthy young participants underwent MRI scanning and completed a comprehensive cognitive battery including measurements of fluid, crystallized, and spatial intelligence, along with working memory capacity/executive updating, controlled attention, and processing speed. The cognitive scores were obtained by confirmatory factor analyses. T1 -weighted images were processed using three different surface-based morphometry (SBM) pipelines, varying in their degree of user intervention, for obtaining measures of cortical thickness (CT) across the brain surface. Distribution and variability of CT and CT-cognition relationships were systematically compared across pipelines and between two cognitively/demographically matched samples to overcome potential sources of variability affecting the reproducibility of findings. We demonstrated that estimation of CT was not consistent across methods. In addition, among SBM methods, there was considerable variation in the spatial pattern of CT-cognition relationships. Finally, within each SBM method, results did not replicate in matched subsamples.
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