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A Resource for Assessing Information Processing in the Developing Brain Using EEG and Eye Tracking

Nicolas Langer, Erica J. Ho, Lindsay M. Alexander, Helen Y. Xu, Renee K. Jozanovic, Simon Henin, Samantha Cohen, Enitan T. Marcelle, Lucas C. Parra, Michael P. Milham, Simon P. Kelly
doi: https://doi.org/10.1101/092213
Nicolas Langer
1Center for the Developing Brain, Child Mind Institute, New York, NY, USA
3Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
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Erica J. Ho
1Center for the Developing Brain, Child Mind Institute, New York, NY, USA
2Department of Psychology, Yale University, New Haven, CT, USA
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Lindsay M. Alexander
1Center for the Developing Brain, Child Mind Institute, New York, NY, USA
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Helen Y. Xu
1Center for the Developing Brain, Child Mind Institute, New York, NY, USA
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Renee K. Jozanovic
1Center for the Developing Brain, Child Mind Institute, New York, NY, USA
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Simon Henin
5Department of Biomedical Engineering, City College of New York, New York, USA
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Samantha Cohen
5Department of Biomedical Engineering, City College of New York, New York, USA
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Enitan T. Marcelle
4Department of Psychology, University of California, Berkeley, USA
1Center for the Developing Brain, Child Mind Institute, New York, NY, USA
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Lucas C. Parra
5Department of Biomedical Engineering, City College of New York, New York, USA
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Michael P. Milham
1Center for the Developing Brain, Child Mind Institute, New York, NY, USA
6Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, USA
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Simon P. Kelly
5Department of Biomedical Engineering, City College of New York, New York, USA
7School of Electrical and Electronic Engineering, University College Dublin, Ireland
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Abstract

We present a dataset combining electrophysiology and eye tracking intended as a resource for the investigation of information processing in the developing brain. The dataset includes high-density task-based and task-free EEG, eye tracking, and cognitive and behavioral data collected from 126 individuals (ages: 6–44). The task battery spans both the simple/complex and passive/active dimensions to cover a range of approaches prevalent in modern cognitive neuroscience. The active task paradigms facilitate principled deconstruction of core components of task performance in the developing brain, whereas the passive paradigms permit the examination of intrinsic functional network activity during varying amounts of external stimulation. Alongside these neurophysiological data, we include an abbreviated cognitive test battery and questionnaire-based measures of psychiatric functioning. We hope that this dataset will lead to the development of novel assays of neural processes fundamental to information processing, which can be used to index healthy brain development as well as detect pathologic processes.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted December 07, 2016.
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A Resource for Assessing Information Processing in the Developing Brain Using EEG and Eye Tracking
Nicolas Langer, Erica J. Ho, Lindsay M. Alexander, Helen Y. Xu, Renee K. Jozanovic, Simon Henin, Samantha Cohen, Enitan T. Marcelle, Lucas C. Parra, Michael P. Milham, Simon P. Kelly
bioRxiv 092213; doi: https://doi.org/10.1101/092213
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A Resource for Assessing Information Processing in the Developing Brain Using EEG and Eye Tracking
Nicolas Langer, Erica J. Ho, Lindsay M. Alexander, Helen Y. Xu, Renee K. Jozanovic, Simon Henin, Samantha Cohen, Enitan T. Marcelle, Lucas C. Parra, Michael P. Milham, Simon P. Kelly
bioRxiv 092213; doi: https://doi.org/10.1101/092213

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