Cognitive and anatomical data in a healthy cohort of adults
We present data from a sample of 190 healthy adults including assessments of 4 cognitive factor scores, 12 cognitive tests, and 115 MRI-assessed neuroanatomical variables (cortical thicknesses, cortical and sub-cortical volumes, fractional anisotropy, and radial diffusivity). These data were used in...
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Format: | Article |
Language: | English |
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Elsevier
2016-06-01
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Series: | Data in Brief |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340916302086 |
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author | P.D. Watson E.J. Paul G.E. Cooke N. Ward J.M. Monti K.M. Horecka C.M. Allen C.H. Hillman N.J. Cohen A.F. Kramer A.K. Barbey |
author_facet | P.D. Watson E.J. Paul G.E. Cooke N. Ward J.M. Monti K.M. Horecka C.M. Allen C.H. Hillman N.J. Cohen A.F. Kramer A.K. Barbey |
author_sort | P.D. Watson |
collection | DOAJ |
description | We present data from a sample of 190 healthy adults including assessments of 4 cognitive factor scores, 12 cognitive tests, and 115 MRI-assessed neuroanatomical variables (cortical thicknesses, cortical and sub-cortical volumes, fractional anisotropy, and radial diffusivity). These data were used in estimating underlying sources of individual variation via independent component analysis (Watson et al., In press) [25]. Keywords: Independent component analysis, Fluid intelligence, Neuroanatomy, Tractography, Individual differences |
first_indexed | 2024-12-13T07:32:15Z |
format | Article |
id | doaj.art-fb52fe4f5833438fbe2a48b92e8777d5 |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-12-13T07:32:15Z |
publishDate | 2016-06-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-fb52fe4f5833438fbe2a48b92e8777d52022-12-21T23:55:10ZengElsevierData in Brief2352-34092016-06-01712211227Cognitive and anatomical data in a healthy cohort of adultsP.D. Watson0E.J. Paul1G.E. Cooke2N. Ward3J.M. Monti4K.M. Horecka5C.M. Allen6C.H. Hillman7N.J. Cohen8A.F. Kramer9A.K. Barbey10Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA; Corresponding authors at: Decision Neuroscience Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL 61801, USA.Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USABeckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USABeckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USABeckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USABeckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL, USABeckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USABeckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA; Department of Kinesiology and Community Health, University of Illinois at Urbana–Champaign, Urbana, IL, USABeckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL, USABeckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL, USABeckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL, USA; Decision Neuroscience Laboratory, University of Illinois at Urbana–Champaign, Champaign, IL, USA; Department of Bioengineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA; Department of Internal Medicine, University of Illinois at Urbana–Champaign, Champaign, IL, USA; Department of Speech and Hearing Science, University of Illinois at Urbana–Champaign, Champaign, IL, USA; Neuroscience Program, University of Illinois at Urbana–Champaign, Champaign, IL, USA; Corresponding authors at: Decision Neuroscience Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL 61801, USA.We present data from a sample of 190 healthy adults including assessments of 4 cognitive factor scores, 12 cognitive tests, and 115 MRI-assessed neuroanatomical variables (cortical thicknesses, cortical and sub-cortical volumes, fractional anisotropy, and radial diffusivity). These data were used in estimating underlying sources of individual variation via independent component analysis (Watson et al., In press) [25]. Keywords: Independent component analysis, Fluid intelligence, Neuroanatomy, Tractography, Individual differenceshttp://www.sciencedirect.com/science/article/pii/S2352340916302086 |
spellingShingle | P.D. Watson E.J. Paul G.E. Cooke N. Ward J.M. Monti K.M. Horecka C.M. Allen C.H. Hillman N.J. Cohen A.F. Kramer A.K. Barbey Cognitive and anatomical data in a healthy cohort of adults Data in Brief |
title | Cognitive and anatomical data in a healthy cohort of adults |
title_full | Cognitive and anatomical data in a healthy cohort of adults |
title_fullStr | Cognitive and anatomical data in a healthy cohort of adults |
title_full_unstemmed | Cognitive and anatomical data in a healthy cohort of adults |
title_short | Cognitive and anatomical data in a healthy cohort of adults |
title_sort | cognitive and anatomical data in a healthy cohort of adults |
url | http://www.sciencedirect.com/science/article/pii/S2352340916302086 |
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