ArticleNeuroImage2017
Searching for behavior relating to grey matter volume in a-priori defined right dorsal premotor regions: Lessons learned.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed.
- Brain structure correlates of social information use: an exploratory machine learning approach.Frontiers in human neuroscience · 2024Article
- 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
- "Nothing to see here": No structural brain differences as a function of thePersonality neuroscience · 2022Review
- Sex Chromosome Dosage Effects on White Matter Structure in the Human Brain.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Neuroanatomical correlates of self-awareness of highly practiced visuomotor skills.Brain structure & function · 2021Article
- A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System.Scientific reports · 2021Article
- Understanding Vulnerability and Adaptation in Early Brain Development using Network Neuroscience.Trends in neurosciences · 2021Review
- Revisiting potential associations between brain morphology, fear acquisition and extinction through new data and a literature review.Scientific reports · 2020Review
- Article
- How to Characterize the Function of a Brain Region.Trends in cognitive sciences · 2018Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Recently, we showed that the functional heterogeneity of the right dorsal premotor (PMd) cortex could be better understood by dividing it into five subregions that showed different behavioral associations according to task-based activations studies. The present study investigated whether the revealed behavioral profile could be corroborated and complemented by a structural brain behavior correlation approach in two healthy adults cohorts. Grey matter volume within the five volumes of interest (VOI-GM) was computed using voxel-based morphometry. Associations between the inter-individual differences in VOI-GM and performance across a range of neuropsychological tests were assessed in the two cohorts with and without correction for demographical variables. Additional analyses were performed in random smaller subsamples drawn from each of the two cohorts. In both cohorts, correlation coefficients were low; only few were significant and a considerable number of correlations were counterintuitive in their directions (i.e., higher performance related to lower grey matter volume). Furthermore, correlation patterns were inconsistent between the two cohorts. Subsampling revealed that correlation patterns could vary widely across small samples and that negative correlations were as likely as positive correlations. Thus, the structural brain-behavior approach did not corroborate the functional profiles of the PMd subregions inferred from activation studies, suggesting that local recruitment by fMRI studies does not necessarily imply covariance of local structure with behavioral performance in healthy adults. We discuss the limitations of such studies and related recommendations for future studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.