AIMC Topic: Brain Mapping
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Modularity maximization as a flexible and generic framework for brain network exploratory analysis.
NeuroImage
Oct 2, 2021
The modular structure of brain networks supports specialized information processing, complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in modular structure has been linked to differences in performance, disease, and d...
The Effect of Deep Learning-Based QSM Magnetic Resonance Imaging on the Subthalamic Nucleus.
Journal of healthcare engineering
Sep 15, 2021
In order to study the influence of quantitative magnetic susceptibility mapping (QSM) on them. A 2.5D Attention U-Net Network based on multiple input and multiple output, a method for segmenting RN, SN, and STN regions in high-resolution QSM images i...
Dual coding of knowledge in the human brain.
Trends in cognitive sciences
Sep 8, 2021
How does the human brain code knowledge about the world? While disciplines such as artificial intelligence represent world knowledge based on human language, neurocognitive models of knowledge have been dominated by sensory embodiment, in which knowl...
A strategy for mapping biophysical to abstract neuronal network models applied to primary visual cortex.
PLoS computational biology
Aug 16, 2021
A fundamental challenge for the theoretical study of neuronal networks is to make the link between complex biophysical models based directly on experimental data, to progressively simpler mathematical models that allow the derivation of general opera...
Unveiling functions of the visual cortex using task-specific deep neural networks.
PLoS computational biology
Aug 13, 2021
The human visual cortex enables visual perception through a cascade of hierarchical computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven approach to discover the functional mapping of the visual cortex. We r...
Rapid whole-brain electric field mapping in transcranial magnetic stimulation using deep learning.
PloS one
Jul 30, 2021
Transcranial magnetic stimulation (TMS) is a non-invasive neurostimulation technique that is increasingly used in the treatment of neuropsychiatric disorders and neuroscience research. Due to the complex structure of the brain and the electrical cond...
A dual-channel language decoding from brain activity with progressive transfer training.
Human brain mapping
Jul 27, 2021
When we view a scene, the visual cortex extracts and processes visual information in the scene through various kinds of neural activities. Previous studies have decoded the neural activity into single/multiple semantic category tags which can caption...
Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jul 26, 2021
BACKGROUND AND PURPOSE: The purpose of the current study is to detect changes of graph-theory-based degree centrality (DC) and their relationship with the clinical treatment effects of anti-epileptic drugs (AEDs) for patients with childhood absence e...
Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning.
Zeitschrift fur medizinische Physik
Jul 24, 2021
INTRODUCTION: Quantitative Susceptibility Mapping (QSM) is generally acquired with full brain coverage, even though many QSM brain-iron studies focus on the deep grey matter (DGM) region only. Reducing the spatial coverage to the DGM vicinity can sub...
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction.
NeuroImage
Jul 16, 2021
Quantitative susceptibility mapping (QSM) and R2* mapping are MRI post-processing methods that quantify tissue magnetic susceptibility and transverse relaxation rate distributions. However, QSM and R2* acquisitions are relatively slow, even with para...
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