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Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury
Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury
The black box nature of deep neural networks (DNNs) makes researchers and clinicians hesitant to rely on their findings. S...
Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme
Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme
Neuroscience education is challenged by rapidly evolving technology and the development of interdisciplinary approaches fo...
Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value
Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value
Attention Deficit Hyperactivity Disorder (ADHD) is a widespread neurobehavioral disorder affecting children and adolescent...
A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images
A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images
Characterizing the anatomical structure and connectivity between cortical regions is a critical step towards understanding...
Effect of Electrode Distance and Size on Electrocorticographic Recordings in Human Sensorimotor Cortex
Effect of Electrode Distance and Size on Electrocorticographic Recordings in Human Sensorimotor Cortex
Subdural electrocorticography (ECoG) is a valuable technique for neuroscientific research and for emerging neurotechnologi...
Stitcher: A Surface Reconstruction Tool for Highly Gyrified Brains
Stitcher: A Surface Reconstruction Tool for Highly Gyrified Brains
Brain reconstruction, specially of the cerebral cortex, is a challenging task and even more so when it comes to highly gyr...
Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging – A Symposium Review
Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging – A Symposium Review
Advances in the spatiotemporal resolution and field-of-view of neuroimaging tools are driving mesoscale studies for transl...
Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning
Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning
Schizophrenia is a mental disorder characterized by neurophysiological dysfunctions that result in disturbances in thinkin...
MBV-Pipe: A One-Stop Toolbox for Assessing Mouse Brain Morphological Changes for Cross-Scale Studies
MBV-Pipe: A One-Stop Toolbox for Assessing Mouse Brain Morphological Changes for Cross-Scale Studies
Mouse models are crucial for neuroscience research, yet discrepancies arise between macro- and meso-scales due to sample p...
Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA
Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA
This study concentrates on the segmentation of intracranial aneurysms, a pivotal aspect of diagnosis and treatment plannin...
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models
Theta oscillations, ranging from 4-8 Hz, play a significant role in spatial learning and memory functions during navigatio...
AnNoBrainer, An Automated Annotation of Mouse Brain Images using Deep Learning
AnNoBrainer, An Automated Annotation of Mouse Brain Images using Deep Learning
Annotation of multiple regions of interest across the whole mouse brain is an indispensable process for quantitative evalu...
Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review
Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review
Morphometry is fundamental for studying and correlating neuronal morphology with brain functions. With increasing computat...
CADENCE — Neuroinformatics Tool for Supervised Calcium Events Detection
CADENCE — Neuroinformatics Tool for Supervised Calcium Events Detection
CADENCE is an open Python 3-written neuroinformatics tool with Qt6 graphic user interface for supervised calcium events de...
Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice
Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice
The brain is an intricate system that controls a variety of functions. It consists of a vast number of cells that exhibit ...
Generative Modelling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain
Generative Modelling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain
Neurotransmitter receptor densities are relevant for understanding the molecular architecture of brain regions. Quantitati...
Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study
Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study
Diffusion properties from diffusion tensor imaging (DTI) are exquisitely sensitive to white matter abnormalities incurred ...
Predicting Cognitive Functioning for Patients with a High-Grade Glioma: Evaluating Different Representations of Tumor Location in a Common Space
Predicting Cognitive Functioning for Patients with a High-Grade Glioma: Evaluating Different Representations of Tumor Location in a Common Space
Cognitive functioning is increasingly considered when making treatment decisions for patients with a brain tumor in view o...
Photogrammetry scans for neuroanatomy education - a new multi-camera system: technical note
Photogrammetry scans for neuroanatomy education - a new multi-camera system: technical note
Photogrammetry scans has directed attention to the development of advanced camera systems to improve the creation of three...
Solving the Pervasive Problem of Protocol Non-Compliance in MRI using an Open-Source tool mrQA
Solving the Pervasive Problem of Protocol Non-Compliance in MRI using an Open-Source tool mrQA
Pooling data across diverse sources acquired by multisite consortia requires compliance with a predefined reference protoc...
A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Diverse Tasks of Cognitive Control
A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Diverse Tasks of Cognitive Control
This article seeks to investigate the impact of aging on functional connectivity across different cognitive control scenar...
Bayesian Tensor Modeling for Image-based Classification of Alzheimer’s Disease
Bayesian Tensor Modeling for Image-based Classification of Alzheimer’s Disease
Tensor-based representations are being increasingly used to represent complex data types such as imaging data, due to thei...
Utilizing fMRI to Guide TMS Targets: the Reliability and Sensitivity of fMRI Metrics at 3 T and 1.5 T
Utilizing fMRI to Guide TMS Targets: the Reliability and Sensitivity of fMRI Metrics at 3 T and 1.5 T
US Food and Drug Administration (FDA) cleared a Transcranial Magnetic Stimulation (TMS) system with functional Magnetic Re...
Identifying Diagnostic Biomarkers for Autism Spectrum Disorder From Higher-order Interactions Using the PED Algorithm
Identifying Diagnostic Biomarkers for Autism Spectrum Disorder From Higher-order Interactions Using the PED Algorithm
In the field of neuroimaging, more studies of abnormalities in brain regions of the autism spectrum disorder (ASD) usually...
Where Top-Down Meets Bottom-Up: Cell-Type Specific Connectivity Map of the Whisker System
Where Top-Down Meets Bottom-Up: Cell-Type Specific Connectivity Map of the Whisker System
Sensorimotor computation integrates bottom-up world state information with top-down knowledge and task goals to form actio...
MRIO: the Magnetic Resonance Imaging Acquisition and Analysis Ontology
MRIO: the Magnetic Resonance Imaging Acquisition and Analysis Ontology
Magnetic resonance imaging of the brain is a useful tool in both the clinic and research settings, aiding in the diagnosis...
Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort
Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort
Research data management has become an indispensable skill in modern neuroscience. Researchers can benefit from following ...
Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images
Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images
Magnetic Resonance Imaging (MRI) plays an important role in neurology, particularly in the precise segmentation of brain t...
Growth-Associated Protein 43 and Tensor-Based Morphometry Indices in Mild Cognitive Impairment
Growth-Associated Protein 43 and Tensor-Based Morphometry Indices in Mild Cognitive Impairment
Growth-associated protein 43 (GAP-43) is found in the axonal terminal of neurons in the limbic system, which is affected i...
Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community
Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community
Multimodal neuroimaging grants a powerful in vivo window into the structure and function of the human brain. Recent method...
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