AIMC Topic: Brain Mapping
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DF-QSM: Data Fidelity based Hybrid Approach for Improved Quantitative Susceptibility Mapping of the Brain.
NMR in biomedicine
Apr 22, 2024
Quantitative Susceptibility Mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique to quantify the magnetic susceptibility of the tissue under investigation. Deep learning methods have shown promising results in deconvolving the susc...
Migraine aura discrimination using machine learning: an fMRI study during ictal and interictal periods.
Medical & biological engineering & computing
Apr 19, 2024
Functional magnetic resonance imaging (fMRI) studies on migraine with aura are challenging due to the rarity of patients with triggered cases. This study optimized methodologies to explore differences in ictal and interictal spatiotemporal activation...
A GRU-CNN model for auditory attention detection using microstate and recurrence quantification analysis.
Scientific reports
Apr 17, 2024
Attention as a cognition ability plays a crucial role in perception which helps humans to concentrate on specific objects of the environment while discarding others. In this paper, auditory attention detection (AAD) is investigated using different dy...
Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping.
Magma (New York, N.Y.)
Apr 10, 2024
OBJECTIVE: Quantitative susceptibility mapping (QSM) provides an estimate of the magnetic susceptibility of tissue using magnetic resonance (MR) phase measurements. The tissue magnetic susceptibility (source) from the measured magnetic field distribu...
A Stepwise Multivariate Granger Causality Method for Constructing Hierarchical Directed Brain Functional Network.
IEEE transactions on neural networks and learning systems
Apr 4, 2024
The directed brain functional network construction gives us the new insights into the relationships between brain regions from the causality point of view. The Granger causality analysis is one of the powerful methods to model the directed network. T...
Identification of autism spectrum disorder using multiple functional connectivity-based graph convolutional network.
Medical & biological engineering & computing
Mar 8, 2024
Presently, the combination of graph convolutional networks (GCN) with resting-state functional magnetic resonance imaging (rs-fMRI) data is a promising approach for early diagnosis of autism spectrum disorder (ASD). However, the prevalent approach in...
Affine medical image registration with fusion feature mapping in local and global.
Physics in medicine and biology
Feb 28, 2024
. Medical image affine registration is a crucial basis before using deformable registration. On the one hand, the traditional affine registration methods based on step-by-step optimization are very time-consuming, so these methods are not compatible ...
Intra and inter-regional functional connectivity of the human brain due to Task-Evoked fMRI Data classification through CNN & LSTM.
Journal of neuroradiology = Journal de neuroradiologie
Feb 25, 2024
BACKGROUND AND PURPOSE: Olfaction is an early marker of neurodegenerative disease. Standard olfactory function is essential due to the importance of olfaction in human life. The psychophysical evaluation assesses the olfactory function commonly. It i...
A deep learning approach for mental health quality prediction using functional network connectivity and assessment data.
Brain imaging and behavior
Feb 10, 2024
While one can characterize mental health using questionnaires, such tools do not provide direct insight into the underlying biology. By linking approaches that visualize brain activity to questionnaires in the context of individualized prediction, we...
Decoding Single and Paired Phonemes Using 7T Functional MRI.
Brain topography
Jan 23, 2024
Several studies have shown that mouth movements related to the pronunciation of individual phonemes are represented in the sensorimotor cortex. This would theoretically allow for brain computer interfaces that are capable of decoding continuous speec...
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