Network-level dynamics underlying a combined rTMS and psychotherapy treatment for major depressive disorder: An exploratory network analysis.

Abstract

Background

Despite the growing use of repetitive transcranial magnetic stimulation (rTMS) as a treatment for depression, there is a limited understanding of the mechanisms of action and how potential treatment-related brain changes help to characterize treatment response. To address this gap in understanding we investigated the effects of an approach combining rTMS with simultaneous psychotherapy on global functional connectivity.

Method

We compared task-related functional connectomes based on an idiographic goal priming task tied to emotional regulation acquired before and after simultaneous rTMS/psychotherapy treatment for patients with major depressive disorders and compared these changes to normative connectivity patterns from a set of healthy volunteers (HV) performing the same task.

Results

At baseline, compared to HVs, patients demonstrated hyperconnectivity of the DMN, cerebellum and limbic system, and hypoconnectivity of the fronto-parietal dorsal-attention network and visual cortex. Simultaneous rTMS/psychotherapy helped to normalize these differences, which were reduced after treatment. This finding suggests that the rTMS/therapy treatment regularizes connectivity patterns in both hyperactive and hypoactive brain networks.

Conclusions

These results help to link treatment to a comprehensive model of the neurocircuitry underlying depression and pave the way for future studies using network-guided principles to significantly improve rTMS efficacy for depression.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1016/j.ijchp.2023.100382

Publication Info

Davis, Simon W, Lysianne Beynel, Andrada D Neacsiu, Bruce M Luber, Elisabeth Bernhardt, Sarah H Lisanby and Timothy J Strauman (2023). Network-level dynamics underlying a combined rTMS and psychotherapy treatment for major depressive disorder: An exploratory network analysis. International journal of clinical and health psychology : IJCHP, 23(4). p. 100382. 10.1016/j.ijchp.2023.100382 Retrieved from https://hdl.handle.net/10161/29084.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Davis

Simon Wilton Davis

Associate Professor in Neurology

My research centers around the use of structural and functional imaging measures to study the shifts in network architecture in the aging brain. I am specifically interested in changes in how changes in structural and functional connectivity associated with aging impact the semantic retrieval of word or fact knowledge. Currently this involves asking why older adults have particular difficulty in certain kinds of semantic retrieval, despite the fact that vocabularies and knowledge stores typically improve with age.

A second line of research involves asking questions about how this semantic system is organized in young adults, understanding which helps form a basis for asking questions about older adults. To what degree are these semantic retrieval processes lateralized? What cognitive factors affect this laterality? How are brain structures like the corpus callosum involved in mediating distributed activation patterns associated with semantic retrieval? 

Neacsiu

Andrada Delia Neacsiu

Associate Professor in Psychiatry and Behavioral Sciences

I am a clinical psychologist with a primary interest in outpatient interventions for difficulties managing emotional experiences that interfere with well-being. As a clinician, I specialize in Dialectical Behavior Therapy (DBT) and Cognitive Behavioral Therapy (CBT) for adults who report a variety of mental health problems, including personality, mood, anxiety, eating, trauma, stress-related, adjustment, and impulse control disorders. My approach to psychotherapy includes working collaboratively with my patients to identify their unique life and therapy goals and implementing evidence-based interventions to achieve the identified goals. As an educator, I train clinicians nationally and teach graduate students, psychology and psychiatry residents in in how to effectively apply CBT and DBT in their clinical work. As a researcher, I focus on psychotherapy optimization and neuroscience-informed treatment development for emotion dysregulation. My research keeps me up to date with the latest evidence-based approaches to use in my clinical work, and my work with patients strongly influences the research that I do.  Outside of work, I enjoy traveling, gourmet food, nature adventures, and time with friends with family.

Strauman

Timothy J. Strauman

Professor of Psychology and Neuroscience

Professor Strauman's research focuses on the psychological and neurobiological processes that enable self-regulation, conceptualized in terms of a cognitive/motivational perspective, as well as the relation between self-regulation and affect. Particular areas of emphasis include: (1) conceptualizing self-regulation in terms of brain/behavior motivational systems; (2) the role of self-regulatory cognitive processes in vulnerability to depression and other disorders; (3) the impact of treatments for depression, such as psychotherapy and medication, on self-regulatory function and dysfunction in depression; (4) how normative and non-normative socialization patterns influence the development of self-regulatory systems; (5) the contributory roles of self-regulation, affect, and psychopathology in determining immunologically-mediated susceptibility to illness; (6) development of novel multi-component treatments for depression targeting self-regulatory dysfunction; (7) utilization of brain imaging techniques to test hypotheses concerning self-regulation, including the nature and function of hypothetical regulatory systems and characterizing the breakdowns in self-regulation that lead to and accompany depression.


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.