Individualized prediction of future cognition based on developmental changes in cortical anatomy
Predictive modeling studies have started to reveal brain measures underlying cognition; however, most studies are based on cross-sectional data (brain measures acquired at one time point). Since brain development comprises of continuously ongoing events leading to cognitive development, predictive m...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | NeuroImage: Reports |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666956022000514 |
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| author | Budhachandra Khundrakpam Linda Booij Seun Jeon Sherif Karama Jussi Tohka Alan C. Evans |
| author_facet | Budhachandra Khundrakpam Linda Booij Seun Jeon Sherif Karama Jussi Tohka Alan C. Evans |
| author_sort | Budhachandra Khundrakpam |
| collection | DOAJ |
| description | Predictive modeling studies have started to reveal brain measures underlying cognition; however, most studies are based on cross-sectional data (brain measures acquired at one time point). Since brain development comprises of continuously ongoing events leading to cognitive development, predictive modeling studies need to consider ‘longitudinal brain change’ as opposed to ‘cross-sectional brain measures’. Using longitudinal neuroimaging and cognitive data (global executive composite score, an index of executive function) from 82 individuals (aged 5–14 years, scanned 3 times), we built highly accurate prediction models (r = 0.61, p = 1.6e-09) of future cognition (assessed at visit 3) based on developmental changes in cortical anatomy (from visit 1 to 2). More importantly, longitudinal brain change (i.e. change in cortical anatomy from visit 1 to 2) and cross-sectional brain measures (cortical anatomy at visit 1 and 2) were critical for predicting future cognition, suggesting the need for considering longitudinal brain change in predicting cognitive outcomes. |
| format | Article |
| id | doaj-art-4eb1f6cb503f45f1878e52013692b2a4 |
| institution | DOAJ |
| issn | 2666-9560 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Reports |
| spelling | doaj-art-4eb1f6cb503f45f1878e52013692b2a42025-08-20T02:54:37ZengElsevierNeuroImage: Reports2666-95602022-12-012410012710.1016/j.ynirp.2022.100127Individualized prediction of future cognition based on developmental changes in cortical anatomyBudhachandra Khundrakpam0Linda Booij1Seun Jeon2Sherif Karama3Jussi Tohka4Alan C. Evans5McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC, H3A 2B4, Canada; Corresponding author. Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B42, Canada.Department of Psychology, Concordia University, Montreal, QC, H4B 1R6, Canada; CHU Sainte-Justine Hospital Research Centre, Montreal, QC, H3T 1C5, CanadaMcGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC, H3A 2B4, CanadaDouglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC, H4H 1R3, CanadaUniversity of Eastern Finland, CanadaMcGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC, H3A 2B4, CanadaPredictive modeling studies have started to reveal brain measures underlying cognition; however, most studies are based on cross-sectional data (brain measures acquired at one time point). Since brain development comprises of continuously ongoing events leading to cognitive development, predictive modeling studies need to consider ‘longitudinal brain change’ as opposed to ‘cross-sectional brain measures’. Using longitudinal neuroimaging and cognitive data (global executive composite score, an index of executive function) from 82 individuals (aged 5–14 years, scanned 3 times), we built highly accurate prediction models (r = 0.61, p = 1.6e-09) of future cognition (assessed at visit 3) based on developmental changes in cortical anatomy (from visit 1 to 2). More importantly, longitudinal brain change (i.e. change in cortical anatomy from visit 1 to 2) and cross-sectional brain measures (cortical anatomy at visit 1 and 2) were critical for predicting future cognition, suggesting the need for considering longitudinal brain change in predicting cognitive outcomes.http://www.sciencedirect.com/science/article/pii/S2666956022000514 |
| spellingShingle | Budhachandra Khundrakpam Linda Booij Seun Jeon Sherif Karama Jussi Tohka Alan C. Evans Individualized prediction of future cognition based on developmental changes in cortical anatomy NeuroImage: Reports |
| title | Individualized prediction of future cognition based on developmental changes in cortical anatomy |
| title_full | Individualized prediction of future cognition based on developmental changes in cortical anatomy |
| title_fullStr | Individualized prediction of future cognition based on developmental changes in cortical anatomy |
| title_full_unstemmed | Individualized prediction of future cognition based on developmental changes in cortical anatomy |
| title_short | Individualized prediction of future cognition based on developmental changes in cortical anatomy |
| title_sort | individualized prediction of future cognition based on developmental changes in cortical anatomy |
| url | http://www.sciencedirect.com/science/article/pii/S2666956022000514 |
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