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| Hauptseite > Publikationsdatenbank > Comparison of different group-level templates in gradient-based multimodal connectivity analysis > print |
| Hauptseite > Publikationsdatenbank > Comparison of different group-level templates in gradient-based multimodal connectivity analysis > print |
| 001 | 1031465 | ||
| 005 | 20250203133209.0 | ||
| 024 | 7 | _ | |a 10.1162/netn_a_00382 |2 doi |
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| 037 | _ | _ | |a FZJ-2024-05684 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Kim, Sunghun |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Comparison of different group-level templates in gradient-based multimodal connectivity analysis |
| 260 | _ | _ | |a Cambridge, MA |c 2024 |b The MIT Press |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1735810587_31056 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a The study of large-scale brain connectivity is increasingly adopting unsupervised approaches that derive low-dimensional spatial representations from high-dimensional connectomes, referred to as gradient analysis. When translating this approach to study interindividual variations in connectivity, one technical issue pertains to the selection of an appropriate group-level template to which individual gradients are aligned. Here, we compared different group-level template construction strategies using functional and structural connectome data from neurotypical controls and individuals with autism spectrum disorder (ASD) to identify between-group differences. We studied multimodal magnetic resonance imaging data obtained from the Autism Brain Imaging Data Exchange (ABIDE) Initiative II and the Human Connectome Project (HCP). We designed six template construction strategies that varied in whether (1) they included typical controls in addition to ASD; or (2) they mapped from one dataset onto another. We found that aligning a combined subject template of the ASD and control subjects from the ABIDE Initiative onto the HCP template exhibited the most pronounced effect size. This strategy showed robust identification of ASD-related brain regions for both functional and structural gradients across different study settings. Replicating the findings on focal epilepsy demonstrated the generalizability of our approach. Our findings will contribute to improving gradient-based connectivity research. |
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| 700 | 1 | _ | |a Yoo, Seulki |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Xie, Ke |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Royer, Jessica |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Larivière, Sara |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Byeon, Kyoungseob |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Lee, Jong Eun |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Park, Yeongjun |0 P:(DE-HGF)0 |b 7 |
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| 700 | 1 | _ | |a Bernhardt, Boris C. |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Hong, Seok-Jun |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Park, Hyunjin |0 P:(DE-HGF)0 |b 11 |e Corresponding author |
| 700 | 1 | _ | |a Park, Bo-yong |0 P:(DE-HGF)0 |b 12 |e Corresponding author |
| 773 | _ | _ | |a 10.1162/netn_a_00382 |g p. 1 - 23 |0 PERI:(DE-600)2900481-0 |n 4 |p 1009–1031 |t Network neuroscience |v 8 |y 2024 |x 2472-1751 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1031465/files/netn_a_00382.pdf |y OpenAccess |
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| 910 | 1 | _ | |a Max Planck Institute for Cognitive and Brain Sciences, Leipzig |0 I:(DE-HGF)0 |b 8 |6 P:(DE-Juel1)173843 |
| 910 | 1 | _ | |a Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Republic of Korea * Corresponding Authors: hyunjinp@skku.edu; boyongpark@korea.ac.kr |0 I:(DE-HGF)0 |b 11 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea * Corresponding Authors: hyunjinp@skku.edu; boyongpark@korea.ac.kr |0 I:(DE-HGF)0 |b 12 |6 P:(DE-HGF)0 |
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