ArticlePsychiatry research2015
Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data.
Article in Psychiatry research, 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.
- Group-wise sparse coding for the discovery of functional connectivity-based biomarkers in children and adolescents with autism spectrum disorder.Frontiers in psychiatry · 2026Article
- Modeling task-based fMRI data via deep belief network with neural architecture search.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2020Article
- Joint representation of connectome-scale structural and functional profiles for identification of consistent cortical landmarks in macaque brain.Brain imaging and behavior · 2019Article
- Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.IEEE transactions on bio-medical engineering · 2018Article
- Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.Medical image analysis · 2018Article
- Joint representation of consistent structural and functional profiles for identification of common cortical landmarks.Brain imaging and behavior · 2018Article
- Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex.IEEE transactions on bio-medical engineering · 2018Article
- A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data.Frontiers in neuroinformatics · 2018Article
- Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder.Medical image analysis · 2017Article
- Assessing the effects of cocaine dependence and pathological gambling using group-wise sparse representation of natural stimulus FMRI data.Brain imaging and behavior · 2017Article
- Task fMRI data analysis based on supervised stochastic coordinate coding.Medical image analysis · 2017Article
- Sparse coding reveals greater functional connectivity in female brains during naturalistic emotional experience.PloS one · 2017Article
- Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder.NeuroImage. ClinicalArticle
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Authors and funding
13 authors.
Funding
Abstract
Task-based fMRI activation mapping has been widely used in clinical neuroscience in order to assess different functional activity patterns in conditions such as prenatal alcohol exposure (PAE) affected brains and healthy controls. In this paper, we propose a novel, alternative approach of group-wise sparse representation of the fMRI data of multiple groups of subjects (healthy control, exposed non-dysmorphic PAE and exposed dysmorphic PAE) and assess the systematic functional activity differences among these three populations. Specifically, a common time series signal dictionary is learned from the aggregated fMRI signals of all three groups of subjects, and then the weight coefficient matrices (named statistical coefficient map (SCM)) associated with each common dictionary were statistically assessed for each group separately. Through inter-group comparisons based on the correspondence established by the common dictionary, our experimental results have demonstrated that the group-wise sparse coding strategy and the SCM can effectively reveal a collection of brain networks/regions that were affected by different levels of severity of PAE.
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