A common emotion recovery network across four major psychiatric disorders

Poster No:

468 

Submission Type:

Abstract Submission 

Authors:

Yueling Liu1, Wenqiang Xu1, Gong-Jun Ji1, Chunyan Zhu1

Institutions:

1Anhui Medical University, Hefei, Anhui Province, China

First Author:

Yueling Liu  
Anhui Medical University
Hefei, Anhui Province, China

Co-Author(s):

Wenqiang Xu  
Anhui Medical University
Hefei, Anhui Province, China
Gong-Jun Ji  
Anhui Medical University
Hefei, Anhui Province, China
Chunyan Zhu  
Anhui Medical University
Hefei, Anhui Province, China

Introduction:

Comorbidity between psychiatric disorders is highly prevalent, which poses a serious challenge to clinical diagnosis and treatment. Abnormal emotion processing is a common characteristic across these disorders. Despite pharmacotherapy being a first-line treatment, there is a lack of consensus regarding its regulatory mechanisms in emotion processing. In this context, we aim to elucidate the mechanism of emotion recovery (ER) induced by pharmacotherapy across psychiatric disorders.

Methods:

We systematically reviewed the longitudinal studies of treatment for psychiatric disorders to identify the brain activation alterations following pharmacotherapy related to emotion processing and symptom improvement. Using novel activation network mapping approaches and a large normative connectome of 652 healthy human (validated in a data of 1000 patients with psychiatric disorder) to map the underlying brain circuits functionally associated with each experimental activation and converge them into a common network. Multiple databases are used for network validation and generalization.
On the one hand, we collected independent data of coordinates with functional or structure changes induced by pharmacotherapy to validate emotion recovery network (ERN) across imaging modalities, and extended this effect to electroconvulsive therapy (ECT). On the other hand, considering the role of ERN across various therapeutic, we also examined the relationship between brain activation associated with psychotherapy and placebo effects and the ERN network.
To further validate the ERN in the clinical application, we tested whether brain stimulation sites that were effective for improving mood disorder, such as transcranial magnetic stimulation (TMS) target atlas (Siddiqi et al., 2020), common deep brain stimulation (DBS) targets (Burke et al., 2022), and high-definition direct current stimulation (HD-tDCS) fell within the same circuit as ERN. Statistical significance was tested by permutation tests.

Results:

Twenty-three experiments from 20 studies were enrolled, involving 382 psychiatric patients and 241 health participants. Although the pharmacotherapy-induced activation changes during emotion processing were widely distributed in the brain, these regions were functionally connected. We found that 91% of heterogeneous brain activation were successfully mapped into a common network centered at the bilateral insular and putamen (Figure 1). This common network was validated by independent datasets across imaging modalities, and could be generalized to brain stimulation therapies (Figure 2). Cross-modality and cross-therapy validation indicated that the ERN showing stronger functional connectivity in brain regions with structural and functional changes after medication and ECT treatment, but this connection was not replicated in brain activation changes after psychotherapy and placebo therapy (Figure 2A). TMS, DBS and HD-tDCS targets that related to emotion-recovery have stronger functional connectivity with the ERN than random networks (r = 0.86, P < 0.0005; t= -3.51, P < 0.0001; t= -2.48, P < 0.0001; Figure 2B-D). More interestingly, we observed that HD-tDCS targets had different polarity responses to the ERN positive and negative correlation network (anodic targets had stronger positive connections with ERN, and cathodic targets had stronger negative connections with ERN).
Supporting Image: Figure1.png
   ·Figure 1. Activation network mapping (ANM) of emotion recovery in psychiatric disorders induced by pharmacotherapy.
Supporting Image: Figure2.png
   ·Figure 2. Validation and clinical implication of ERN. (A) Cross-modality and cross-therapy validation.
 

Conclusions:

The emotion-processing-related regions modulated by pharmacotherapy in psychiatric disorders converge on a common brain network. This research contributes to understanding the mechanism of normalizing emotion processing in psychiatric disorders and provides a potential basis for developing transdiagnostic treatment strategies.

Disorders of the Nervous System:

Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1

Emotion, Motivation and Social Neuroscience:

Emotional Perception 2

Modeling and Analysis Methods:

Activation (eg. BOLD task-fMRI)
Connectivity (eg. functional, effective, structural)

Novel Imaging Acquisition Methods:

Multi-Modal Imaging

Keywords:

Affective Disorders
Emotions
Psychiatric Disorders
Other - Emotion-processing recovery/activation network mapping/Pharmacotherapy

1|2Indicates the priority used for review

Abstract Information

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Please indicate below if your study was a "resting state" or "task-activation” study.

Task-activation

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Patients

Was this research conducted in the United States?

No

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Not applicable

Please indicate which methods were used in your research:

Functional MRI
Structural MRI
TMS
Other, Please specify  -   activation network mapping

For human MRI, what field strength scanner do you use?

3.0T

Which processing packages did you use for your study?

SPM
Other, Please list  -   NIModulation/REST

Provide references using APA citation style.

A., & Santarnecchi, E. (2022). Placebo effects and neuromodulation for depression: a meta-analysis and evaluation of shared mechanisms. Mol Psychiatry, 27(3), 1658-1666.
Siddiqi, S. H., Taylor, S. F., Cooke, D., Pascual-Leone, A., George, M. S., & Fox, M. D. (2020). Distinct Symptom-Specific Treatment Targets for Circuit-Based Neuromodulation. Am J Psychiatry, 177(5), 435-446.

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