Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity
In the human brain, the cerebellum (CB) and basal ganglia (BG) are implicated in cognition-, emotion-, and motor-related cortical processes and are highly interconnected, both to cortical regions via separate, trans-thalamic pathways and to each other via subcortical disynaptic pathways. We previous...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Behavioral Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnbeh.2022.953303/full |
| _version_ | 1818049438792286208 |
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| author | T. Bryan Jackson Jessica A. Bernard Jessica A. Bernard |
| author_facet | T. Bryan Jackson Jessica A. Bernard Jessica A. Bernard |
| author_sort | T. Bryan Jackson |
| collection | DOAJ |
| description | In the human brain, the cerebellum (CB) and basal ganglia (BG) are implicated in cognition-, emotion-, and motor-related cortical processes and are highly interconnected, both to cortical regions via separate, trans-thalamic pathways and to each other via subcortical disynaptic pathways. We previously demonstrated a distinction between cognitive and motor CB-BG networks (CCBN, MCBN, respectively) as it relates to cortical network integration in healthy young adults, suggesting the subcortical networks separately support cortical networks. The CB and BG are also implicated in the pathophysiology of schizophrenia, Parkinson's, and compulsive behavior; thus, integration within subcortical CB-BG networks may be related to transdiagnostic symptomology. Here, we asked whether CCBN or MCBN integration predicted Achenbach Self-Report scores for anxiety, depression, intrusive thoughts, hyperactivity and inactivity, and cognitive performance in a community sample of young adults. We computed global efficiency for each CB-BG network and 7 canonical resting-state networks for all right-handed participants in the Human Connectome Project 1200 release with a complete set of preprocessed resting-state functional MRI data (N = 783). We used multivariate regression to control for substance abuse and age, and permutation testing with exchangeability blocks to control for family relationships. MCBN integration negatively predicted depression and hyperactivity, and positively predicted cortical network integration. CCBN integration predicted cortical network integration (except for the emotional network) and marginally predicted a positive relationship with hyperactivity, indicating a potential dichotomy between cognitive and motor CB-BG networks and hyperactivity. These results highlight the importance of CB-BG interactions as they relate to motivation and symptoms of depression. |
| first_indexed | 2024-12-10T10:37:35Z |
| format | Article |
| id | doaj.art-c8996060d1ab48bda5afa8be60a0722f |
| institution | Directory Open Access Journal |
| issn | 1662-5153 |
| language | English |
| last_indexed | 2024-12-10T10:37:35Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Behavioral Neuroscience |
| spelling | doaj.art-c8996060d1ab48bda5afa8be60a0722f2022-12-22T01:52:24ZengFrontiers Media S.A.Frontiers in Behavioral Neuroscience1662-51532022-09-011610.3389/fnbeh.2022.953303953303Cerebellar and basal ganglia motor network predicts trait depression and hyperactivityT. Bryan Jackson0Jessica A. Bernard1Jessica A. Bernard2Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, United StatesDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, United StatesTexas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, United StatesIn the human brain, the cerebellum (CB) and basal ganglia (BG) are implicated in cognition-, emotion-, and motor-related cortical processes and are highly interconnected, both to cortical regions via separate, trans-thalamic pathways and to each other via subcortical disynaptic pathways. We previously demonstrated a distinction between cognitive and motor CB-BG networks (CCBN, MCBN, respectively) as it relates to cortical network integration in healthy young adults, suggesting the subcortical networks separately support cortical networks. The CB and BG are also implicated in the pathophysiology of schizophrenia, Parkinson's, and compulsive behavior; thus, integration within subcortical CB-BG networks may be related to transdiagnostic symptomology. Here, we asked whether CCBN or MCBN integration predicted Achenbach Self-Report scores for anxiety, depression, intrusive thoughts, hyperactivity and inactivity, and cognitive performance in a community sample of young adults. We computed global efficiency for each CB-BG network and 7 canonical resting-state networks for all right-handed participants in the Human Connectome Project 1200 release with a complete set of preprocessed resting-state functional MRI data (N = 783). We used multivariate regression to control for substance abuse and age, and permutation testing with exchangeability blocks to control for family relationships. MCBN integration negatively predicted depression and hyperactivity, and positively predicted cortical network integration. CCBN integration predicted cortical network integration (except for the emotional network) and marginally predicted a positive relationship with hyperactivity, indicating a potential dichotomy between cognitive and motor CB-BG networks and hyperactivity. These results highlight the importance of CB-BG interactions as they relate to motivation and symptoms of depression.https://www.frontiersin.org/articles/10.3389/fnbeh.2022.953303/fullHuman Connectome Projectcerebellumbasal gangliadepressionhyperactivity |
| spellingShingle | T. Bryan Jackson Jessica A. Bernard Jessica A. Bernard Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity Frontiers in Behavioral Neuroscience Human Connectome Project cerebellum basal ganglia depression hyperactivity |
| title | Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity |
| title_full | Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity |
| title_fullStr | Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity |
| title_full_unstemmed | Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity |
| title_short | Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity |
| title_sort | cerebellar and basal ganglia motor network predicts trait depression and hyperactivity |
| topic | Human Connectome Project cerebellum basal ganglia depression hyperactivity |
| url | https://www.frontiersin.org/articles/10.3389/fnbeh.2022.953303/full |
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