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Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data
View ORCID ProfileArun S. Mahadevan, Ursula A. Tooley, Maxwell A. Bertolero, Allyson P. Mackey, Danielle S. Bassett
doi: https://doi.org/10.1101/2020.05.04.072868
Arun S. Mahadevan
1Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA
Ursula A. Tooley
6Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA
Maxwell A. Bertolero
1Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA
Allyson P. Mackey
7Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
Danielle S. Bassett
1Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA
2Department of Electrical & Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104 USA
3Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA 19104 USA
4Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
5Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
8Santa Fe Institute, 1399 Hyde Park Rd, Santa Fe, NM 87501 USA
Posted May 05, 2020.
Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data
Arun S. Mahadevan, Ursula A. Tooley, Maxwell A. Bertolero, Allyson P. Mackey, Danielle S. Bassett
bioRxiv 2020.05.04.072868; doi: https://doi.org/10.1101/2020.05.04.072868
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