Cognitive and connectome properties detectable through individual differences in graphomotor organization
We investigated whether graphomotor organization during a digitized Clock Drawing Test (dCDT) would be associated with cognitive and/or brain structural differences detected with a tractography-derived structural connectome of the brain. 72 non-demented/non-depressed adults were categorized based on...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/1721.1/112128 https://orcid.org/0000-0001-5232-7281 |
| _version_ | 1826214398736203776 |
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| author | Lamar, Melissa Ajilore, Olusola Leow, Alex Charlton, Rebecca Cohen, Jamie GadElkarim, Johnson Yang, Shaolin Zhang, Aifeng Davis, Randall Penney, Dana Libon, David J. Kumar, Anand |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Lamar, Melissa Ajilore, Olusola Leow, Alex Charlton, Rebecca Cohen, Jamie GadElkarim, Johnson Yang, Shaolin Zhang, Aifeng Davis, Randall Penney, Dana Libon, David J. Kumar, Anand |
| author_sort | Lamar, Melissa |
| collection | MIT |
| description | We investigated whether graphomotor organization during a digitized Clock Drawing Test (dCDT) would be associated with cognitive and/or brain structural differences detected with a tractography-derived structural connectome of the brain. 72 non-demented/non-depressed adults were categorized based on whether or not they used 'anchor' digits (i.e., 12, 3, 6, 9) before any other digits while completing dCDT instructions to "draw the face of a clock with all the numbers and set the hands to 10 after 11". 'Anchorers' were compared to 'non-anchorers' across dCDT, additional cognitive measures and connectome-based metrics. In the context of grossly intact clock drawings, anchorers required fewer strokes to complete the dCDT and outperformed non-anchorers on executive functioning and learning/memory/recognition tasks. Anchorers had higher local efficiency for the left medial orbitofrontal and transver se temporal cortices as well as the right rostral anterior cingulate and superior frontal gyrus versus non-anchorers suggesting better regional integration within local networks involving these regions; select aspects of which correlated with cognition. Results also revealed that anchorers' exhibited a higher degree of modular integration among heteromodal regions of the ventral visual processing stream versus non-anchorers. Thus, an easily observable graphomotor distinction was associated with 1) better performance in specific cognitive domains, 2) higher local efficiency suggesting better regional integration, and 3) more sophisticated modular integration involving the ventral ('what') visuospatial processing stream. Taken together, these results enhance our knowledge of the brain-behavior relationships underlying unprompted graphomotor organization during dCDT. |
| first_indexed | 2024-09-23T16:04:48Z |
| format | Article |
| id | mit-1721.1/112128 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:04:48Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1121282022-09-29T18:06:32Z Cognitive and connectome properties detectable through individual differences in graphomotor organization Lamar, Melissa Ajilore, Olusola Leow, Alex Charlton, Rebecca Cohen, Jamie GadElkarim, Johnson Yang, Shaolin Zhang, Aifeng Davis, Randall Penney, Dana Libon, David J. Kumar, Anand Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Davis, Randall We investigated whether graphomotor organization during a digitized Clock Drawing Test (dCDT) would be associated with cognitive and/or brain structural differences detected with a tractography-derived structural connectome of the brain. 72 non-demented/non-depressed adults were categorized based on whether or not they used 'anchor' digits (i.e., 12, 3, 6, 9) before any other digits while completing dCDT instructions to "draw the face of a clock with all the numbers and set the hands to 10 after 11". 'Anchorers' were compared to 'non-anchorers' across dCDT, additional cognitive measures and connectome-based metrics. In the context of grossly intact clock drawings, anchorers required fewer strokes to complete the dCDT and outperformed non-anchorers on executive functioning and learning/memory/recognition tasks. Anchorers had higher local efficiency for the left medial orbitofrontal and transver se temporal cortices as well as the right rostral anterior cingulate and superior frontal gyrus versus non-anchorers suggesting better regional integration within local networks involving these regions; select aspects of which correlated with cognition. Results also revealed that anchorers' exhibited a higher degree of modular integration among heteromodal regions of the ventral visual processing stream versus non-anchorers. Thus, an easily observable graphomotor distinction was associated with 1) better performance in specific cognitive domains, 2) higher local efficiency suggesting better regional integration, and 3) more sophisticated modular integration involving the ventral ('what') visuospatial processing stream. Taken together, these results enhance our knowledge of the brain-behavior relationships underlying unprompted graphomotor organization during dCDT. 2017-11-02T19:09:44Z 2017-11-02T19:09:44Z 2016-03 2016-03 2017-10-27T17:38:24Z Article http://purl.org/eprint/type/JournalArticle 0028-3932 http://hdl.handle.net/1721.1/112128 Lamar, Melissa et al. “Cognitive and Connectome Properties Detectable through Individual Differences in Graphomotor Organization.” Neuropsychologia 85 (May 2016): 301–309 © 2016 Elsevier https://orcid.org/0000-0001-5232-7281 http://dx.doi.org/10.1016/J.NEUROPSYCHOLOGIA.2016.03.034 Neuropsychologia Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier PMC |
| spellingShingle | Lamar, Melissa Ajilore, Olusola Leow, Alex Charlton, Rebecca Cohen, Jamie GadElkarim, Johnson Yang, Shaolin Zhang, Aifeng Davis, Randall Penney, Dana Libon, David J. Kumar, Anand Cognitive and connectome properties detectable through individual differences in graphomotor organization |
| title | Cognitive and connectome properties detectable through individual differences in graphomotor organization |
| title_full | Cognitive and connectome properties detectable through individual differences in graphomotor organization |
| title_fullStr | Cognitive and connectome properties detectable through individual differences in graphomotor organization |
| title_full_unstemmed | Cognitive and connectome properties detectable through individual differences in graphomotor organization |
| title_short | Cognitive and connectome properties detectable through individual differences in graphomotor organization |
| title_sort | cognitive and connectome properties detectable through individual differences in graphomotor organization |
| url | http://hdl.handle.net/1721.1/112128 https://orcid.org/0000-0001-5232-7281 |
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