ArticleBrain imaging and behavior2020
Predicting human inhibitory control from brain structural MRI.
Article in Brain imaging and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 31 citations in OpenAlex.
- Precise individual measures of inhibitory control.Nature human behaviour · 2025Article
- Using precision approaches to improve brain-behavior prediction.Trends in cognitive sciences · 2025Review
- Altered morphometric similarity networks in insomnia disorder.Brain structure & function · 2024Article
- Network and state specificity in connectivity-based predictions of individual behavior.Human brain mapping · 2024Article
- Utilizing maternal prenatal cognition as a predictor of newborn brain measures of intellectual development.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2024Article
- Disinhibition in dementia related to reduced morphometric similarity of cognitive control network.Brain communications · 2024Article
- Network and State Specificity in Connectivity-Based Predictions of Individual Behavior.bioRxiv : the preprint server for biology · 2023Article
- Predicting 'Brainage' in late childhood to adolescence (6-17yrs) using structural MRI, morphometric similarity, and machine learning.Scientific reports · 2023Article
- Predicting 'Brainage' in the Developmental Period using Structural MRI, Morphometric Similarity, and Machine Learning.Research square · 2023Article
- Performance scaling for structural MRI surface parcellations: a machine learning analysis in the ABCD Study.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Individualized prediction of future cognition based on developmental changes in cortical anatomy.Neuroimage. Reports · 2022Article
- Generalizable predictive modeling of semantic processing ability from functional brain connectivity.Human brain mapping · 2022Article
- Mathematical Abilities in School-Aged Children: A Structural Magnetic Resonance Imaging Analysis With Radiomics.Frontiers in neuroscience · 2022Article
- Longitudinal white matter changes associated with cognitive training.Human brain mapping · 2021Article
- Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises.Biological psychiatry · 2020Review
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Authors and funding
4 authors at 2 institutions in 2 countries.
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Abstract
The anatomical structure of the human brain varies widely, as does individual cognitive behavior. It is important and interesting to study the relationship between brain structure and cognitive behavior. There has however been little previous work on the relationship between inhibitory control and brain structure. The goal of this study was to elucidate possible cortical markers related to inhibitory control using structural magnetic resonance imaging (sMRI) data. In this study, we analyzed sMRI data and inhibitory control behavior measurement values from 361 healthy adults from the Human Connectome Project (HCP). The data of all participants were divided into two datasets. In the first dataset, we first constructed individual brain morphometric similarity networks by calculating the inter-regional statistical similarity relationship of nine cortical characteristic measures (such as volume) for each brain area obtained from sMRI data. Areas that covary in their morphology are termed 'connected'. After that, we used a brain connectome-based predictive model (CPM) to search for 'connected' brain areas that were significantly related to inhibitory control. This is a purely data-driven method with built-in cross-validation. Two different 'connected' patterns were observed for high and low inhibitory control networks. The high inhibitory control network comprised 25 'connections' (edges between nodes), mostly involving nodes in the prefrontal and especially orbitofrontal cortex and inferior frontal gyrus. In the low inhibitory control network, nodes were scattered between parietal, occipital and limbic areas. Furthermore, these 'connections' were verified as reliable and generalizable in a cross-validation dataset. Two regions of interest, the right ventromedial prefrontal cortex including a part of medial area 10 (R.OFCmed) and left middle temporal gyrus (L.MTG) were crucial nodes in the two networks, respectively, which suggests that these two regions may be fundamentally involved in inhibitory control. Our findings potentially help to understand the relationship between areas with a correlated cortical structure and inhibitory control, and further help to reveal the brain systems related to inhibition and its disorders.
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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.