Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder

Depression is a multifactorial clinical syndrome with a low pharmacological treatment response rate. Therefore, identifying predictors of treatment response capable of providing the basis for future developments of individualized therapies is crucial. Here, we applied model-free and model-based measures of whole-brain turbulent dynamics in resting-state functional magnetic resonance imaging (fMRI) in healthy controls and unmedicated depressed patients. After eight weeks of treatment with selective serotonin reuptake inhibitors (SSRIs), patients were classified as responders and non-responders according to the Hamilton Depression Rating Scale 6 (HAMD6). Using the model-free approach, we found that compared to healthy controls and responder patients, non-responder patients presented disruption of the information transmission across spacetime scales. Furthermore, our results revealed that baseline turbulence level is positively correlated with beneficial pharmacological treatment outcomes. Importantly, our model-free approach enabled prediction of which patients would turn out to be non-responders. Finally, our model-based approach provides mechanistic evidence that non-responder patients are less sensitive to stimulation and, consequently, less prone to respond to treatment. Overall, we demonstrated that different levels of turbulent dynamics are suitable for predicting response to SSRIs treatment in depression.

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Publication Details

Journal
Molecular Psychiatry
Published
2024-09-10
DOI
https://doi.org/10.1038/s41380-024-02690-7
Citations
15
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
5.14

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article

Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder

Noelia Martínez‐Molina, Gitte M. Knudsen, Patrick M. Fisher, Anira Escrichs et al.
15 citations
Molecular Psychiatry
Functional Brain Connectivity Studies
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article

Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder

Noelia Martínez‐Molina, Gitte M. Knudsen, Patrick M. Fisher, Anira Escrichs, Elvira G-Guzmán, Vibe G. Frøkjær, Morten L. Kringelbach, Gustavo Deco, Yonatan Sanz Perl
article en
15 citations

Abstract

Depression is a multifactorial clinical syndrome with a low pharmacological treatment response rate. Therefore, identifying predictors of treatment response capable of providing the basis for future developments of individualized therapies is crucial. Here, we applied model-free and model-based measures of whole-brain turbulent dynamics in resting-state functional magnetic resonance imaging (fMRI) in healthy controls and unmedicated depressed patients. After eight weeks of treatment with selective serotonin reuptake inhibitors (SSRIs), patients were classified as responders and non-responders according to the Hamilton Depression Rating Scale 6 (HAMD6). Using the model-free approach, we found that compared to healthy controls and responder patients, non-responder patients presented disruption of the information transmission across spacetime scales. Furthermore, our results revealed that baseline turbulence level is positively correlated with beneficial pharmacological treatment outcomes. Importantly, our model-free approach enabled prediction of which patients would turn out to be non-responders. Finally, our model-based approach provides mechanistic evidence that non-responder patients are less sensitive to stimulation and, consequently, less prone to respond to treatment. Overall, we demonstrated that different levels of turbulent dynamics are suitable for predicting response to SSRIs treatment in depression.

Molecular PsychiatryVol. 30(3)
Institució Catalana de Recerca i Estudis Avançats (ES), University of Copenhagen (DK), Oxfam (GB), Universitat Pompeu Fabra (ES), Aarhus University (DK), Mental Health Services (DK), Copenhagen University Hospital (DK), Rigshospitalet (DK), University of Oxford (GB), Capital Region of Denmark (DK), Institut du Cerveau (FR)
Savvaerksejer Jeppe Juhl og Hustru Ovita Juhls Mindelegat, Innovationsfonden, National Research Foundation, Danmarks Grundforskningsfond, Lundbeckfonden, Rigshospitalet, Region Hovedstaden, H. Lundbeck A/S, HORIZON EUROPE Framework Programme, European Regional Development Fund, Agencia Estatal de Investigación
Good health and well-being
Openalex Percentile: Top 4%
Functional Brain Connectivity Studies
5.14
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