Developmental Cognitive Neuroscience in the Era of Networks and Big Data: Strengths, Weaknesses, Opportunities, and Threats

Author:

Fair Damien A.123,Dosenbach Nico U.F.4,Moore Amy H.35,Satterthwaite Theodore D.6,Milham Michael P.78

Affiliation:

1. Institute of Child Development, College of Education and Human Development, University of Minnesota, Minneapolis, Minnesota 55455, USA;

2. Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota 55455, USA

3. Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, Minnesota 55414, USA

4. Department of Neurology, Washington University School of Medicine, St. Louis, Missouri 63110, USA;

5. Carlson School of Management Medical Industry Leadership Institute, University of Minnesota, Minneapolis, Minnesota 55414, USA;

6. Penn Lifespan Informatics and Neuroimaging Center and Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA;

7. Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York 10962, USA

8. Child Mind Institute, New York, NY 10022, USA;

Abstract

Developmental cognitive neuroscience is being pulled in new directions by network science and big data. Brain imaging [e.g., functional magnetic resonance imaging (fMRI), functional connectivity MRI], analytical advances (e.g., graph theory, machine learning), and access to large computing resources have empowered us to collect and process neurobehavioral datafaster and in larger populations than ever before. The translational potential from these advances is unparalleled, as a better understanding of complex human brain functions is best grounded in the onset of these functions during human development. However, the maturation of developmental cognitive neuroscience has seen the emergence of new challenges and pitfalls, which have significantly slowed progress and need to be overcome to maintain momentum. In this review, we examine the state of developmental cognitive neuroscience in the era of networks and big data. In addition, we provide a discussion of the strengths, weaknesses, opportunities, and threats (SWOT) of the field to advance developmental cognitive neuroscience's scientific and translational potential.

Publisher

Annual Reviews

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