Altered morphological characteristics and structural covariance connectivity associated with verbal working memory performance in ADHD children
OBJECTIVES: Deficits in verbal working memory (VWM) observed in attention deficit hyperactivity disorder (ADHD) children can persist into adulthood. Although previous studies have identified brain regions that are activated during VWM tasks, the neural mechanisms underlying the relationship between VWM deficits remain unclear. The objective of this study was to investigate the structural covariance network connectivity and brain morphology changes that are associated with VWM performance in ADHD children.
METHODS: For this study, we selected 26 ADHD children and 26 healthy control (HC) participants. Participants were instructed to perform an n-back VWM task and their accuracy and response times were subsequently recorded. This research utilised voxel-based morphometry to measure the grey matter (GM) volume and conducted structural covariance connectivity network analysis to explore the changes of brain in ADHD.
RESULTS: Voxel-based morphometry analysis showed that lower GM volume in the right cerebellum lobule VI and the left parahippocampal gryus in ADHD children. Moreover, a positive correlation was found between the GM volume in the right cerebellum lobule VI and the accuracy of 2-back VWM task with verbal, small reward, and delayed feedback (VSD). Structural covariance network analysis found decreased structural connectivity between right cerebellum lobule VI and right precentral gyrus, right postcentral gyrus, left paracentral lobule, right superior parietal gyrus, and left hippocampus in ADHD children.
CONCLUSIONS: The low GM volume and altered structural covariance connectivity in the right cerebellum lobule VI might potentially affect VWM performance in ADHD children.
ADVANCES IN KNOWLEDGE: The innovation of this study lies in its more focused discussion on the morphological characteristics and structural covariance connectivity of VWM deficits in ADHD children, and the innovative finding of a positive correlation between grey matter volume in the right cerebellum lobule VI and accuracy in completing the 2-back VWM task with verbal instructions, small reward, and delayed feedback (VSD). This expands upon previous research by elucidating the specific brain structures involved in VWM deficits in ADHD children and highlights the potential importance of the cerebellum in this cognitive process. Overall, these innovative findings advance our understanding of the neural basis of ADHD and may have important implications for the development of targeted interventions for VWM deficits.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:96 |
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| Enthalten in: |
The British journal of radiology - 96(2023), 1151 vom: 24. Nov., Seite 20230409 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Liang, Shengxiang [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 30.10.2023 Date Revised 30.10.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1259/bjr.20230409 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
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| 245 | 1 | 0 | |a Altered morphological characteristics and structural covariance connectivity associated with verbal working memory performance in ADHD children |
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a OBJECTIVES: Deficits in verbal working memory (VWM) observed in attention deficit hyperactivity disorder (ADHD) children can persist into adulthood. Although previous studies have identified brain regions that are activated during VWM tasks, the neural mechanisms underlying the relationship between VWM deficits remain unclear. The objective of this study was to investigate the structural covariance network connectivity and brain morphology changes that are associated with VWM performance in ADHD children | ||
| 520 | |a METHODS: For this study, we selected 26 ADHD children and 26 healthy control (HC) participants. Participants were instructed to perform an n-back VWM task and their accuracy and response times were subsequently recorded. This research utilised voxel-based morphometry to measure the grey matter (GM) volume and conducted structural covariance connectivity network analysis to explore the changes of brain in ADHD | ||
| 520 | |a RESULTS: Voxel-based morphometry analysis showed that lower GM volume in the right cerebellum lobule VI and the left parahippocampal gryus in ADHD children. Moreover, a positive correlation was found between the GM volume in the right cerebellum lobule VI and the accuracy of 2-back VWM task with verbal, small reward, and delayed feedback (VSD). Structural covariance network analysis found decreased structural connectivity between right cerebellum lobule VI and right precentral gyrus, right postcentral gyrus, left paracentral lobule, right superior parietal gyrus, and left hippocampus in ADHD children | ||
| 520 | |a CONCLUSIONS: The low GM volume and altered structural covariance connectivity in the right cerebellum lobule VI might potentially affect VWM performance in ADHD children | ||
| 520 | |a ADVANCES IN KNOWLEDGE: The innovation of this study lies in its more focused discussion on the morphological characteristics and structural covariance connectivity of VWM deficits in ADHD children, and the innovative finding of a positive correlation between grey matter volume in the right cerebellum lobule VI and accuracy in completing the 2-back VWM task with verbal instructions, small reward, and delayed feedback (VSD). This expands upon previous research by elucidating the specific brain structures involved in VWM deficits in ADHD children and highlights the potential importance of the cerebellum in this cognitive process. Overall, these innovative findings advance our understanding of the neural basis of ADHD and may have important implications for the development of targeted interventions for VWM deficits | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Huang, Li |e verfasserin |4 aut | |
| 700 | 1 | |a Zhan, Shiqi |e verfasserin |4 aut | |
| 700 | 1 | |a Zeng, Yi |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Qingqing |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yusi |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Xiuxiu |e verfasserin |4 aut | |
| 700 | 1 | |a Peng, Lixin |e verfasserin |4 aut | |
| 700 | 1 | |a Lin, Bohong |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Hui |e verfasserin |4 aut | |
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