Revealing Changes in Linear and Nonlinear Functional Connectivity After Psilocybin and Escitalopram Treatment in Patients with Depression
Shaun K.l. Quah, Cameron Glick, Leor Roseman, Lorenzo Pasquini, Robin Carhart‐Harris, Manish Saggar
bioRxiv (Cold Spring Harbor Laboratory) March 10, 2025 preprint DOI: 10.1101/2025.03.05.641592 via OpenAlex
Summary
AI-generated from the abstractPeople with major depression who responded to either psilocybin or escitalopram showed distinct changes in brain network connectivity compared to non-responders. Responders had increased linear connectivity within the ventral attention network and greater nonlinear connectivity within the default mode and ventral attention networks. Psilocybin responders showed enhanced coordination between higher-order networks, while escitalopram responders showed reduced connectivity within networks linked to self-referential thought and salience processing. These patterns suggest the two antidepressants work through different mechanisms, with nonlinear connectivity analyses revealing effects not captured by traditional linear measures.
Study at a glance
| Characteristics | Observational cohort |
|---|---|
| Population | Individuals with Major Depressive Disorder |
| Interventions | Psilocybin Escitalopram |
| Topics | Psilocybin |
| Keywords | Escitalopram Functional connectivity Depression economics Psychology |
| Key finding | Antidepressant responders showed increased linear and nonlinear functional connectivity in specific brain networks compared to non-responders, with distinct connectivity patterns between psilocybin and escitalopram treatment groups. |
Abstract
Abstract Major Depressive Disorder (MDD) is typically characterized by altered linear functional connectivity (FC) across large-scale brain networks. Yet, it is unclear whether similar alterations are observed when nonlinear FC is examined. This study investigated how antidepressant treatment (i.e., psilocybin and escitalopram) modulates both linear FC and nonlinear FC in individuals with MDD. Here, we focused specifically on five key canonical brain networks: the Default Mode Network (DMN), Frontoparietal Network (FPN), Salience Network (SAL), Dorsal Attention Network (DAN), and Ventral Attention Network (VAN). Across both treatments, using resting-state fMRI data, we first compared changes in linear and nonlinear FC between responders and non-responders. Responders exhibited increased linear FC within the VAN and greater nonlinear FC within the DMN and VAN than non-responders. We also observed more between-network linear FC for DMN-DAN and nonlinear FC for DMN-VAN in responders than non-responders. Next, we compared treatments and observed that Psilocybin responders showed greater connectivity between FPN-VAN (linear FC), DMN-VAN (nonlinear FC), and SAL-VAN (nonlinear FC) integration than Escitalopram responders, reflecting enhanced coordination and integration between higher-order networks. Conversely, Escitalopram responders exhibited reduced within-network linear FC within the DMN and SAL and between the DMN and VAN, consistent with a dampening of self-referential and salience processing and altered attentional control. These findings highlight potentially distinct mechanisms of action for psilocybin and escitalopram. Incorporating both linear and nonlinear FC analyses provided a novel characterization of these effects, emphasizing the role of these different interactions in antidepressant response. Future studies should investigate the long-term stability of these network changes and their relationship to clinical outcomes.