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Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder
Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder
BackgroundArtificial intelligence (AI) has been the subject of studies in autism spectrum disorder (ASD) and may affect it...
Few-shot EEG sleep staging based on transductive prototype optimization network
Few-shot EEG sleep staging based on transductive prototype optimization network
Electroencephalography (EEG) is a commonly used technology for monitoring brain activities and diagnosing sleep disorders....
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus
Characterizing the connectomic and morphological diversity of thalamic neurons is key for better understanding how the tha...
Corrigendum: Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
Corrigendum: Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
\sectionThree-dimensional segmentation of neural structures in serial scanning electron microscope (SEM) images is a funda...
Tissue Oxygen Depth Explorer: an interactive database for microscopic oxygen imaging data
Tissue Oxygen Depth Explorer: an interactive database for microscopic oxygen imaging data
Over the last decade, increased efforts have been made to standardize the curation, storage, and retrieval of scholarly da...
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub
To build biophysically detailed models of brain cells, circuits, and regions, a data-driven approach is increasingly being...
Prognostic estimation for acute ischemic stroke patients undergoing mechanical thrombectomy within an extended therapeutic window using an interpretable machine learning model
Prognostic estimation for acute ischemic stroke patients undergoing mechanical thrombectomy within an extended therapeutic window using an interpretable machine learning model
BackgroundMechanical thrombectomy (MT) is effective for acute ischemic stroke with large vessel occlusion (AIS-LVO) within...
Editorial: Physical neuromorphic computing and its industrial applications
Editorial: Physical neuromorphic computing and its industrial applications
The importance of handling cognitive data such as images, voices and natural languages is wide spreading not only at datac...
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders
In their paper entitled 'Interpretable evaluation for the Brunnstrom recovery stage of the lower limb based on wearabl...
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks
IntroductionAcquisition and pre-processing pipelines for diffusion-weighted imaging (DWI) volumes are resource- and time-c...
Decision trees to evaluate the risk of developing multiple sclerosis
Decision trees to evaluate the risk of developing multiple sclerosis
IntroductionMultiple sclerosis (MS) is a persistent neurological condition impacting the central nervous system (CNS). The...
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN
Neuroimaging research requires sophisticated tools for analyzing complex data, but efficiently leveraging these tools can ...
oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data
oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data
The complexity and high dimensionality of neuroimaging data pose problems for decoding information with machine learning (...
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS
In the field of neuroscience, a considerable number of commercial data acquisition and processing solutions rely on propri...
NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data
NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data
IntroductionOpen science initiatives have enabled sharing of large amounts of already collected data. However, significant...
Time to consider animal data governance: perspectives from neuroscience
Time to consider animal data governance: perspectives from neuroscience
IntroductionScientific research relies mainly on multimodal, multidimensional big data generated from both animal and huma...
Deep extreme learning machine with knowledge augmentation for EEG seizure signal recognition
Deep extreme learning machine with knowledge augmentation for EEG seizure signal recognition
IntroductionIntelligent recognition of electroencephalogram (EEG) signals can remarkably improve the accuracy of epileptic...
Effect of subthalamic coordinated reset deep brain stimulation on Parkinsonian gait
Effect of subthalamic coordinated reset deep brain stimulation on Parkinsonian gait
IntroductionCoordinated Reset Deep Brain Stimulation (CR DBS) is a novel DBS approach for treating Parkinson's disease...
Synaptic network structure shapes cortically evoked spatio-temporal responses of STN and GPe neurons in a computational model
Synaptic network structure shapes cortically evoked spatio-temporal responses of STN and GPe neurons in a computational model
IntroductionThe basal ganglia (BG) are involved in motor control and play an essential role in movement disorders such as ...
Microglial morphometric analysis: so many options, so little consistency
Microglial morphometric analysis: so many options, so little consistency
Quantification of microglial activation through morphometric analysis has long been a staple of the neuroimmunologist’s to...
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database
The lack of “gold standards” in Diffusion Weighted Imaging (DWI) makes validation cumbersome. To tackle this task, studies...
CACTUS: a computational framework for generating realistic white matter microstructure substrates
CACTUS: a computational framework for generating realistic white matter microstructure substrates
Monte-Carlo diffusion simulations are a powerful tool for validating tissue microstructure models by generating synthetic ...
Perfusion-weighted software written in Python for DSC-MRI analysis
Perfusion-weighted software written in Python for DSC-MRI analysis
IntroductionDynamic susceptibility-weighted contrast-enhanced (DSC) perfusion studies in magnetic resonance imaging (MRI) ...
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use
BackgroundDespite the efforts of the neuroscience community, there are many published neuroimaging studies with data that ...
Efficient simulation of neural development using shared memory parallelization
Efficient simulation of neural development using shared memory parallelization
The Neural Development Simulator, NeuroDevSim, is a Python module that simulates the most important aspects of brain devel...
Editorial: Multi-modality imaging and multi-omics approach to pediatric neurogenetic disorders
Editorial: Multi-modality imaging and multi-omics approach to pediatric neurogenetic disorders
The pediatric neurogenetic disorders are a broad spectrum of disorders caused by changes in genes or chromosomes, affectin...
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research
The effective sharing of health research data within the healthcare ecosystem can have tremendous impact on the advancemen...
EEG phase synchronization during absence seizures
EEG phase synchronization during absence seizures
Absence seizures—generalized rhythmic spike-and-wave discharges (SWDs) are the defining property of childhood (CAE) and ju...
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query
The biomedical research community is motivated to share and reuse data from studies and projects by funding agencies and p...
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks
Training spiking recurrent neural networks on neuronal recordings or behavioral tasks has become a popular way to study co...
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