AIMC Topic: Brain Mapping

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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...
Humans Male Middle Aged Deep Learning Magnetic Resonance Imaging Brain Mapping Olfaction Disorders Neural Networks, Computer Brain Algorithms Female Adult
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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...
Female Aged Mental Health Humans Brain Magnetic Resonance Imaging Brain Mapping Neural Pathways Male Middle Aged Deep Learning
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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...
Male Speech Support Vector Machine Young Adult Adult Phonetics Sensorimotor Cortex Magnetic Resonance Imaging Brain Mapping Brain-Computer Interfaces Humans Brain Female
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Electrophysiological brain imaging based on simulation-driven deep learning in the context of epilepsy.

NeuroImage Dec 15, 2023
Identifying the location, the spatial extent and the electrical activity of distributed brain sources in the context of epilepsy through ElectroEncephaloGraphy (EEG) recordings is a challenging task because of the highly ill-posed nature of the under...
Electroencephalography Epilepsy Drug Resistant Epilepsy Brain Deep Learning Brain Mapping Humans
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verified anatomically aware deep learning for real-time electric field simulation.

Journal of neural engineering Nov 28, 2023
Transcranial magnetic stimulation (TMS) has emerged as a prominent non-invasive technique for modulating brain function and treating mental disorders. By generating a high-precision magnetically evoked electric field (E-field) using a TMS coil, it en...
Transcranial Magnetic Stimulation Humans Deep Learning Brain Brain Mapping Gray Matter
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D-LMBmap: a fully automated deep-learning pipeline for whole-brain profiling of neural circuitry.

Nature methods Sep 28, 2023
Recent proliferation and integration of tissue-clearing methods and light-sheet fluorescence microscopy has created new opportunities to achieve mesoscale three-dimensional whole-brain connectivity mapping with exceptionally high throughput. With the...
Brain Mapping Brain Deep Learning Image Processing, Computer-Assisted Algorithms
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Group-level brain decoding with deep learning.

Human brain mapping Sep 27, 2023
Decoding brain imaging data are gaining popularity, with applications in brain-computer interfaces and the study of neural representations. Decoding is typically subject-specific and does not generalise well over subjects, due to high amounts of betw...
Brain-Computer Interfaces Magnetoencephalography Brain Deep Learning Brain Mapping Humans
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Deep learning based source imaging provides strong sublobar localization of epileptogenic zone from MEG interictal spikes.

NeuroImage Sep 15, 2023
Electromagnetic source imaging (ESI) offers unique capability of imaging brain dynamics for studying brain functions and aiding the clinical management of brain disorders. Challenges exist in ESI due to the ill-posedness of the inverse problem and th...
Humans Brain Deep Learning Magnetic Resonance Imaging Epilepsy Magnetoencephalography Drug Resistant Epilepsy Brain Mapping Electrocorticography Electroencephalography
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Comparison of visual quantities in untrained neural networks.

Cell reports Jul 29, 2023
The ability to compare quantities of visual objects with two distinct measures, proportion and difference, is observed even in newborn animals. However, how this function originates in the brain, even before visual experience, remains unknown. Here, ...
Brain Learning Animals Brain Mapping Neural Networks, Computer Neurons
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Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.

Neural networks : the official journal of the International Neural Network Society Jul 23, 2023
Cognitive flexibility encompasses the ability to efficiently shift focus and forms a critical component of goal-directed attention. The neural substrates of this process are incompletely understood in part due to difficulties in sampling the involved...
Neural Pathways Magnetic Resonance Imaging Deep Learning Humans Brain Mapping Electroencephalography Child Brain Attention Cognition Connectome
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