1
Frontiers | A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia | Human Neuroscience
We demonstrate a hybrid machine learning method to classify schizophrenia patients and healthy controls, using functional magnetic resonance imaging (fMRI) and single nucleotide polymorphism (SNP) dat... [Read More]
1
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedbacktraining based on activity, connectivity and multivariate pattern analysis [Read More]
1
Understanding the impact of preprocessing pipelines on neuroimaging cortical surface analyses | GigaScience | Oxford Academic
Background. The choice of preprocessing pipeline introduces variability in neuroimaging analyses that affects the reproducibility of scientific findings [Read More]
1
On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data
Signal-to-noise ratio, the ratio between signal and noise, is a quantity that has been well established for MRI data but is still subject of ongoing debate and confusion when it comes to fMRI data. fM... [Read More]
1
An fMRI Investigation of Emotional Engagement in Moral Judgment
The long-standing rationalist tradition in moral psychology emphasizes the role of reason in moral judgment. A more recent trend places increased emphasis on emotion. Although both reason and emotion ... [Read More]
1
Package ‘fmri’ R programming
Package ‘fmri’ Package ‘fmri’ R programming [Read More]
1
Our Faces in the Dog's Brain: Functional Imaging Reveals Temporal Cortex Activation during Perception of Human Faces
Dogs have a rich social relationship with humans. One fundamental aspect of it is how dogs pay close attention to human faces in order to guide their behavior, for example, by recognizing their owner ... [Read More]
1
Forrest Gump
Note: This dataset is the combination of four related datasets that were originally hosted on OpenfMRI.org: ds000113, ds000113b, ds000113c and ds000113d. The combined dataset is now in BIDS form... [Read More]
1
fmriprep: fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results. - ... [Read More]
1
PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data | SpringerLink
Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis metho [Read More]
1
Analyzing fMRI experiments with structural adaptive smoothing procedures
Data from functional magnetic resonance imaging (fMRI) consist of time series of brain images that are characterized by a low signal-to-noise ratio. In order to reduce noise and to impr... [Read More]
1
Frontiers | EEG-Informed fMRI: A Review of Data Analysis Methods | Human Neuroscience
The simultaneous acquisition of electroencephalography (EEG) with functional magnetic resonance imaging (fMRI) is a very promising non-invasive technique for the study of human brain function. Despite... [Read More]
1
1
1