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Neuroinformatics
Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically…
Physiologically detailed models of neural networks are an important tool for studying how biophysical mechanisms impact neural information processing. An important, fundamental step in constructing such a model is determining where neurons…
A Machine Learning Approach for the Differential Diagnosis of Alzheimer and Vascular Dementia Fed by…
Among dementia-like diseases, Alzheimer disease (AD) and vascular dementia (VD) are two of the most frequent. AD and VD may share multiple neurological symptoms that may lead to controversial diagnoses when using conventional clinical and…
Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python
Small-mammal neuroimaging offers incredible opportunities to investigate structural and functional aspects of the brain. Many tools have been developed in the last decade to analyse small animal data, but current softwares are less mature…
Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to…
Knowing the difference between left and right is generally assumed throughout the brain MRI research community. However, we note widespread occurrences of left-right orientation errors in MRI open database repositories where volumes have…
NICA: A Novel Toolbox for Near-Infrared Spectroscopy Calculations and Analyses
Functional near-infrared spectroscopy (fNIRS) measures the functional activity of the cerebral cortex. The concentration changes of oxygenated (oxy-Hb) and deoxygenated hemoglobin (deoxy-Hb) can be detected and associated with activation of…
Primary Categorizing and Masking Cerebral Small Vessel Disease Based on “Deep Learning System”
ObjectiveTo supply the attending doctor’s diagnosis of the persisting of cerebral small vessel disease and speed up their work effectively, we developed a “deep learning system (DLS)” for cerebral small vessel disease predication. The…
OPETH: Open Source Solution for Real-Time Peri-Event Time Histogram Based on Open Ephys
Single cell electrophysiology remains one of the most widely used approaches of systems neuroscience. Decisions made by the experimenter during electrophysiology recording largely determine recording quality, duration of the project and…
A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps
Similarly to human population imaging, there are several well-founded motivations for animal population imaging, the most notable being the improvement of the validity of statistical results by pooling a sufficient number of animal data…
Small Animal Shanoir (SAS) A Cloud-Based Solution for Managing Preclinical MR Brain Imaging Studies
Clinical multicenter imaging studies are frequent and rely on a wide range of existing tools for sharing data and processing pipelines. This is not the case for preclinical (small animal) studies. Animal population imaging is still in…