Update References.md

Author: utoprey

References.md

@@ -32,4 +32,4 @@ For software support contact us at <[email protected]>.
 1.  [Koush Y., Ashburner J., Prilepin E., Sladky R., Zeidman P., Bibikov S., Frank Scharnowski F., Nikonorov A., Van De Ville D. (2017). OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. Neuroimage 157:489-503)](http://www.sciencedirect.com/science/article/pii/S1053811917305050)
 2.  [Koush Y., Ashburner J., Prilepin E., Sladky R., Zeidman P., Bibikov S., Frank Scharnowski F., Nikonorov A., Van De Ville D. (2017). Real-time fMRI data for testing OpenNFT functionality. Data in Brief 14:344-347](http://www.sciencedirect.com/science/article/pii/S2352340917303517)
 3.  [Davydov N., Peek L., Auer T. et al. Real-time and Recursive Estimators for Functional MRI Quality Assessment. Neuroinform 20, 897–917 (2022).](https://link.springer.com/article/10.1007/s12021-022-09582-7#citeas)
-4.  [Antipushina E., Davydov N., Riccardo De F., Prilepin E., Nikonorov A., Koush Y. pyOpenNFT: An open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback, MICCAI (2025)]
+4.  [Antipushina E., Davydov N., Riccardo De F., Prilepin E., Nikonorov A., Koush Y. pyOpenNFT: An open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback, MICCAI (2025)](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=JvRrj4oAAAAJ&sortby=pubdate&citation_for_view=JvRrj4oAAAAJ:uLbwQdceFCQC)