Atomoxetine and citalopram alter brain network organization in Parkinson’s disease
Open accessAbstract
Parkinson’s disease has multiple detrimental effects on motor and cognitive systems in the brain. In contrast to motor deficits, cognitive impairments in Parkinson’s disease are usually not ameliorated, and can even be worsened, by dopaminergic treatments. Recent evidence has shown potential benefits from restoring other neurotransmitter deficits, including noradrenergic and serotonergic transmission. Here, we study global and regional brain network organization using task-free imaging (also known as resting-state), which minimizes performance confounds and the bias towards predetermined networks. Thirty-three patients with idiopathic Parkinson’s disease were studied three times in a double-blinded, placebo-controlled counter-balanced crossover design, following placebo, 40 mg oral atomoxetine (selective noradrenaline reuptake inhibitor) or 30 mg oral citalopram (selective serotonin reuptake inhibitor). Neuropsychological assessments were performed outside the scanner. Seventy-six controls were scanned without medication to provide normative data for comparison to the patient cohort. Graph theoretical analysis of task-free brain connectivity, with a random 500-node parcellation, was used to measure the effect of disease in placebo-treated state (versus unmedicated controls) and pharmacological intervention (drug versus placebo). Relative to controls, patients on placebo had executive impairments (reduced fluency and inhibitory control), which was reflected in dysfunctional network dynamics in terms of reduced clustering coefficient, hub degree and hub centrality. In patients, atomoxetine improved fluency in proportion to plasma concentration (P = 0.006, r2 = 0.24), and improved response inhibition in proportion to increased hub Eigen centrality (P = 0.044, r2 = 0.14). Citalopram did not improve fluency or inhibitory control, but its influence on network integration and efficiency depended on disease severity: clustering (P = 0.01, r2 = 0.22), modularity (P = 0.043, r2 = 0.14) and path length (P = 0.006, r2 = 0.25) increased in patients with milder forms of Parkinson’s disease, but decreased in patients with more advanced disease (Unified Parkinson’s Disease Rating Scale motor subscale part III > 30). This study supports the use of task-free imaging of brain networks in translational pharmacology of neurodegenerative disorders. We propose that hub connectivity contributes to cognitive performance in Parkinson’s disease, and that noradrenergic treatment strategies can partially restore the neural systems supporting executive function.
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Nonstimulants have downstream effects that modulate activation patterns of frontoparietal regions through extracellular catecholamine and indirect effects that regulate brain connectivity patterns of the central executive network and default mode network.
“Besides, they also have downstream effects that modulate the activation patterns of frontoparietal regions through extracellular catecholamine and indirect effects that regulate the brain connectivity patterns of the central executive network and default mode network (Borchert et al., 2019; Farr et al., 2014; Lin & Gau, 2015; Schulz et al., 2012; Shafritz et al., 2004).”
From Overlapping and differential neuropharmacological mechanisms of stimulants and nonstimulants for attention-deficit/hyperactivity disorder: A comparative neuroimaging analysis (2024) · cites this paper as Borchert et al., 2019
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Self-citationAssociation of dopamine agonist use with impulse control disorders in Parkinson disease
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Pan, N., Ma, T., Liu, Y., Zhang, S., Hu, S., Shekara, A., Cao, H., Gong, Q., & Chen, Y. (2024) · Psychological Medicine · doi:10.1017/s003329172400285x · Cited by 7 · see citing works
“…non-stimulants may improve the top-down guidance of attention, thought and working memory in those with ADHD via direct effects on NET in the prefrontal cortex (Borchert et al., 2019; Bymaster et al., 2002; Lin & Gau, 2015; Mechler et al., 2022; Morón, Brockington, Wise, Rocha, & Hope, 2002).”
- Authors
- Borchert, R. J., Rittman, T., Rae, C. L., Passamonti, L., Jones, S. P., Vatansever, D., Vázquez Rodríguez, P., Ye, Z., Nombela, C., Hughes, L. E., Robbins, T. W., & Rowe, J. B.
- Affiliations
- University of Cambridge (GB)
- University of Sussex (GB)
- Fudan University (CN)
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Chinese Academy of Sciences (CN)
- Hospital Clínico San Carlos (ES)
- MRC Cognition and Brain Sciences Unit (GB)
- Corresponding author
- Rowe, James B
- ORCID
- Venue
- Brain Communications
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-01-01
- Volume
- 1
- Issue
- 1
- Pages
- fcz013-fcz013
- ISSN
- 2632-1297 (ISSN-L)
- PMC
- PMC6924537
- OpenAlex
- W2971531144
- Cited by
- 14
- References
- 5
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 4 · 2021: 3 · 2020: 2 · 2019: 1
- FWCI
- 0.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Brain Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Apollo (cc-by)
- Funders
- Wellcome Trust (103838)
- Parkinson’s UK
- National Institute for Health Research’s Cambridge Biomedical Research Centre and the Medical Research Council (SUAG/004 R91365 RG62761)
- James F McDonnell Foundation
- Behavioural and Clinical Neuroscience Institute
- Wellcome Trust and Medical Research Council
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Keywords
- Parkinson's disease, atomoxetine, citalopram, resting-state brain connectivity, graph theory, network hubs, executive function, fluency, response inhibition, disease severity, cognitive impairment, pharmacological interventions, network modularity, network efficiency, translational pharmacology, neuropsychological assessment, plasma drug concentration
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