Functional connectivity of resting-state networks in ADHD and salience reward processing: a secondary data analysis study
This secondary data analysis study is interested in examining: (1) the differences in reward sensitivity between ADHD subjects and controls, (2) ADHD-related alterations in the functional connectivity of resting state neural networks - salience network (SN), default mode network (DMN) and executive...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/168525 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-168525 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1685252023-06-18T15:32:21Z Functional connectivity of resting-state networks in ADHD and salience reward processing: a secondary data analysis study Bai, Shifan Annabel Chen Shen-Hsing School of Social Sciences AnnabelChen@ntu.edu.sg Social sciences::Psychology This secondary data analysis study is interested in examining: (1) the differences in reward sensitivity between ADHD subjects and controls, (2) ADHD-related alterations in the functional connectivity of resting state neural networks - salience network (SN), default mode network (DMN) and executive control network (ECN), and (3) the relationship of the salience network with regards to reward signalling and sensitivity. Methods: Specifically, this study will conduct a group ICA analysis on resting state fMRI data, followed by univariate analyses using the MANCOVAN toolbox in GIFTICA to study the effect of group on functional connectivity of the resting state networks. Whole brain analysis was then conducted using SPM12 to further locate significant effect of group on activations within resting state networks. Finally, correlational analyses between salience network functional connectivity and the Sensitivity to Reward (SR) indices from the Sensitivity to Punishment and Sensitivity to Reward Questionnaire were applied. Results: No significant difference in reward sensitivity was found between groups. There was partial support for significant effect of group on aberrant functional connectivity within resting-state networks, and no significant correlation was found between salience network connectivity and reward sensitivity. Bachelor of Social Sciences in Psychology 2023-06-14T01:54:25Z 2023-06-14T01:54:25Z 2023 Final Year Project (FYP) Bai, S. (2023). Functional connectivity of resting-state networks in ADHD and salience reward processing: a secondary data analysis study. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/168525 https://hdl.handle.net/10356/168525 en application/pdf Nanyang Technological University |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Social sciences::Psychology |
spellingShingle |
Social sciences::Psychology Bai, Shifan Functional connectivity of resting-state networks in ADHD and salience reward processing: a secondary data analysis study |
description |
This secondary data analysis study is interested in examining: (1) the differences in reward sensitivity between ADHD subjects and controls, (2) ADHD-related alterations in the functional connectivity of resting state neural networks - salience network (SN), default mode network (DMN) and executive control network (ECN), and (3) the relationship of the salience network with regards to reward signalling and sensitivity.
Methods: Specifically, this study will conduct a group ICA analysis on resting state fMRI data, followed by univariate analyses using the MANCOVAN toolbox in GIFTICA to study the effect of group on functional connectivity of the resting state networks. Whole brain analysis was then conducted using SPM12 to further locate significant effect of group on activations within resting state networks. Finally, correlational analyses between salience network functional connectivity and the Sensitivity to Reward (SR) indices from the Sensitivity to Punishment and Sensitivity to Reward Questionnaire were applied.
Results: No significant difference in reward sensitivity was found between groups. There was partial support for significant effect of group on aberrant functional connectivity within resting-state networks, and no significant correlation was found between salience network connectivity and reward sensitivity. |
author2 |
Annabel Chen Shen-Hsing |
author_facet |
Annabel Chen Shen-Hsing Bai, Shifan |
format |
Final Year Project |
author |
Bai, Shifan |
author_sort |
Bai, Shifan |
title |
Functional connectivity of resting-state networks in ADHD and salience reward processing: a secondary data analysis study |
title_short |
Functional connectivity of resting-state networks in ADHD and salience reward processing: a secondary data analysis study |
title_full |
Functional connectivity of resting-state networks in ADHD and salience reward processing: a secondary data analysis study |
title_fullStr |
Functional connectivity of resting-state networks in ADHD and salience reward processing: a secondary data analysis study |
title_full_unstemmed |
Functional connectivity of resting-state networks in ADHD and salience reward processing: a secondary data analysis study |
title_sort |
functional connectivity of resting-state networks in adhd and salience reward processing: a secondary data analysis study |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/168525 |
_version_ |
1772828668109783040 |