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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...
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images
T1-weighted (T1w) MRI has low frequency intensity artifacts due to magnetic field inhomogeneities. Removal of these biases...
An Automated Tool to Classify and Transform Unstructured MRI Data into BIDS Datasets
An Automated Tool to Classify and Transform Unstructured MRI Data into BIDS Datasets
The increasing use of neuroimaging in clinical research has driven the creation of many large imaging datasets. However, t...
Updates to the Melbourne Children’s Regional Infant Brain Software Package (M-CRIB-S)
Updates to the Melbourne Children’s Regional Infant Brain Software Package (M-CRIB-S)
The delineation of cortical areas on magnetic resonance images (MRI) is important for understanding the complexities of th...
MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline
MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline
Large-scale diffusion MRI tractography remains a significant challenge. Users must orchestrate a complex sequence of instr...
Decentralized Mixed Effects Modeling in COINSTAC
Decentralized Mixed Effects Modeling in COINSTAC
Performing group analysis on magnetic resonance imaging (MRI) data with linear mixed-effects (LME) models is challenging d...
Visual Prompting Based Incremental Learning for Semantic Segmentation of Multiplex Immuno-Flourescence Microscopy Imagery
Visual Prompting Based Incremental Learning for Semantic Segmentation of Multiplex Immuno-Flourescence Microscopy Imagery
Deep learning approaches are state-of-the-art for semantic segmentation of medical images, but unlike many deep learning a...
InSpectro-Gadget: A Tool for Estimating Neurotransmitter and Neuromodulator Receptor Distributions for MRS Voxels
InSpectro-Gadget: A Tool for Estimating Neurotransmitter and Neuromodulator Receptor Distributions for MRS Voxels
Magnetic resonance spectroscopy (MRS) is widely used to estimate concentrations of glutamate and $$\gamma$$ -aminobutyric ...
Network Representation of fMRI Data Using Visibility Graphs: The Impact of Motion and Test-Retest Reliability
Network Representation of fMRI Data Using Visibility Graphs: The Impact of Motion and Test-Retest Reliability
Visibility graphs provide a novel approach for analysing time-series data. Graph theoretical analysis of visibility graphs...
A Deep Learning-Based Ensemble Method for Early Diagnosis of Alzheimer’s Disease using MRI Images
A Deep Learning-Based Ensemble Method for Early Diagnosis of Alzheimer’s Disease using MRI Images
Recently, the early diagnosis of Alzheimer’s disease has gained major attention due to the growing prevalence of the...
Preserving Derivative Information while Transforming Neuronal Curves
Preserving Derivative Information while Transforming Neuronal Curves
The international neuroscience community is building the first comprehensive atlases of brain cell types to understand how...
High-Density Exploration of Activity States in a Multi-Area Brain Model
High-Density Exploration of Activity States in a Multi-Area Brain Model
To simulate whole brain dynamics with only a few equations, biophysical, mesoscopic models of local neuron populations can...
Editorial: On the Economics of Neuroscientific Data Sharing
Editorial: On the Economics of Neuroscientific Data Sharing
Abe, T., Kinsella, I., Saxena, S., Buchanan, E. K., Couto, J., Briggs, J., Kitt, S. L., Glassman, R., Zhou, J., Paninski, ...
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