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...
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OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedbacktraining based on activity, connectivity and multivariate pattern analysis
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Background. The choice of preprocessing pipeline introduces variability in neuroimaging analyses that affects the reproducibility of scientific findings
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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...
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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 ...
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Package ‘fmri’ Package ‘fmri’ R programming
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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 ...
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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...
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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. - ...
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Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis metho
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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...
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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...
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Functional magnetic resonance imaging (fMRI) is a fairly new technique that has the potential to characterize and classify brain disorders such as schizoph
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MR Artifacts - Questions and Answers in MRI
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MR signal - Questions and Answers in MRI
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