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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 796183, 9 pages
Review Article

Examining Similarity Structure: Multidimensional Scaling and Related Approaches in Neuroimaging

Department of Psychology, University of South Carolina, Columbia, SC 29208, USA

Received 6 December 2012; Accepted 19 March 2013

Academic Editor: Yuanqing Li

Copyright © 2013 Svetlana V. Shinkareva et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Svetlana V. Shinkareva, Jing Wang, Jongwan Kim, Matthew J. Facciani, Laura B. Baucom, and Douglas H. Wedell, “Representations of modality-specific affective processing for visual and auditory stimuli derived from functional magnetic resonance imaging data,” Human Brain Mapping, 2013. View at Publisher · View at Google Scholar
  • Gopikrishna Deshpande, Lauren E. Libero, Karthik R. Sreenivasan, Hrishikesh D. Deshpande, and Rajesh K. Kana, “Identification of neural connectivity signatures of autism using machine learning,” Frontiers in Human Neuroscience, vol. 7, 2013. View at Publisher · View at Google Scholar
  • Gleb Bezgin, Konrad Rybacki, A. John van Opstal, Rembrandt Bakker, Kelly Shen, Vasily A. Vakorin, Anthony R. McIntosh, and Rolf Kötter, “Auditory–prefrontal axonal connectivity in the macaque cortex: Quantitative assessment of processing streams,” Brain and Language, vol. 135, pp. 73–84, 2014. View at Publisher · View at Google Scholar
  • Matthias Witte, Manuel Ninaus, Silvia Erika Kober, Christa Neuper, and Guilherme Wood, “Neuronal Correlates of Cognitive Control during Gaming Revealed by Near-Infrared Spectroscopy,” Plos One, vol. 10, no. 8, 2015. View at Publisher · View at Google Scholar
  • Douglas H. Wedell, Jongwan Kim, and Svetlana V. Shinkareva, “Representations of modality-general valence for videos and music derived from fMRI data,” NeuroImage, vol. 148, pp. 42–54, 2017. View at Publisher · View at Google Scholar
  • Reagan R. Wetherill, Hengyi Rao, Nathan Hager, Jieqiong Wang, Teresa R. Franklin, and Yong Fan, “Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting-state fMRI,” Addiction Biology, 2018. View at Publisher · View at Google Scholar