ArticleHuman brain mapping2013
Connectomics signatures of prenatal cocaine exposure affected adolescent brains.
Article in Human brain mapping, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Meta-analysis of functional roles of DICCCOLs.Neuroinformatics · 2013Pooled it
- Diagnostic classification of children and adolescents with high-functioning autism spectrum disorder based on brain functional network characteristics of the dense individualized and common connectivity-based cortical landmark model.Frontiers in psychiatry · 2026Article
- Neuroimaging in infants with prenatal opioid exposure: Current evidence, recent developments and targets for future research.Journal of neuroradiology = Journal de neuroradiologie · 2021Review
- Assessing Fine-Granularity Structural and Functional Connectivity in Children With Attention Deficit Hyperactivity Disorder.Frontiers in human neuroscience · 2020Article
- Joint representation of connectome-scale structural and functional profiles for identification of consistent cortical landmarks in macaque brain.Brain imaging and behavior · 2019Article
- Longitudinal changes of amygdala functional connectivity in adolescents prenatally exposed to cocaine.Drug and alcohol dependence · 2019Article
- Exploring early human brain development with structural and physiological neuroimaging.NeuroImage · 2019Review
- Bayesian Inference for Functional Dynamics Exploring in fMRI Data.Computational and mathematical methods in medicine · 2016Review
- Characterizing and Differentiating Brain State Dynamics via Hidden Markov Models.Brain topography · 2015Article
- Anatomy-guided Dense Individualized and Common Connectivity-based Cortical Landmarks (A-DICCCOL).IEEE transactions on bio-medical engineering · 2015Article
- GENETIC ANALYSIS OF STRUCTURAL BRAIN CONNECTIVITY USING DICCCOL MODELS OF DIFFUSION MRI IN 522 TWINS.Proceedings. IEEE International Symposium on Biomedical Imaging · 2015Article
- Predictive models of resting state networks for assessment of altered functional connectivity in mild cognitive impairment.Brain imaging and behavior · 2014Article
- Fusing DTI and fMRI data: a survey of methods and applications.NeuroImage · 2014Review
- Group-wise FMRI activation detection on DICCCOL landmarks.Neuroinformatics · 2014Article
- Connectome-scale assessments of structural and functional connectivity in MCI.Human brain mapping · 2014Article
- Inferring functional interaction and transition patterns via dynamic Bayesian variable partition models.Human brain mapping · 2014Article
- Imaging brain plasticity after trauma.Neural regeneration research · 2014Article
- Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients.Human brain mapping · 2014Article
- Survey of encoding and decoding of visual stimulus via FMRI: an image analysis perspective.Brain imaging and behavior · 2014Review
- A linear model for characterization of synchronization frequencies of neural networks.Cognitive neurodynamics · 2014Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Recent in vivo neuroimaging studies revealed that several brain networks are altered in prenatal cocaine exposure (PCE) affected adolescent brains. However, due to a lack of dense and corresponding cortical landmarks across individuals, the systematical alterations of functional connectivities in large-scale brain networks and the alteration of structural brain architecture in PCE affected brain are largely unknown. In this article, we adopted a newly developed data-driven strategy to build a large set of cortical landmarks that are consistent and corresponding across PCE adolescents and their matched controls. Based on these landmarks, we constructed large-scale functional connectomes and applied the well-established approaches of deriving genomics signatures in genome-wide gene expression studies to discover functional connectomics signatures for the characterization of PCE adolescent brains. Results derived from experimental data demonstrated that 10 structurally disrupted landmarks were identified in PCE, and more importantly, the discovered informative functional connectomics signatures among consistent landmarks distinctively differentiate PCE brains from their matched controls.
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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.