EEG microstates reveal brain network dynamics changes with circuit-targeted TMS on anhedonia.

Poster No:

598 

Submission Type:

Abstract Submission 

Authors:

QiangYan Che1, Xinyu Huang1, Xingyu Zhao1, Ya Fang1, Rong Ye1, Fengqiong Yu1

Institutions:

1Anhui Medical University, Hefei, Anhui

First Author:

QiangYan Che  
Anhui Medical University
Hefei, Anhui

Co-Author(s):

Xinyu Huang  
Anhui Medical University
Hefei, Anhui
Xingyu Zhao  
Anhui Medical University
Hefei, Anhui
Ya Fang  
Anhui Medical University
Hefei, Anhui
Rong Ye  
Anhui Medical University
Hefei, Anhui
Fengqiong Yu  
Anhui Medical University
Hefei, Anhui

Introduction:

A growing body of neuroimaging studies have implicated anhedonia as a core symptom of major depressive disorder that results from dysfunction in the brain's reward circuitry. These studies have inspired the use of transcranial magnetic stimulation (TMS) targeted to sites connected to the reward circuit as a treatment for anhedonia. Yet its mechanism of action is still not known. High temporal resolution of Electroencephalography (EEG) "microstates" as a tool for studying the temporal dynamics of whole-brain neuronal networks. Therefore, the aim of this study is to investigate the therapeutic impact of circuit-targeted TMS on network dynamics in depressive patients along with anhedonia as well as to explore relationship between microstates and therapeutic efficacy.

Methods:

49 patients of major depressive disorder (MDD) along with anhedonia symptoms age =22.5±7.7), were enrolled for this randomized, sham-controlled, double-blind trial. We also recruited 15 age - and sex-matched healthy controls. patients were randomly assigned to either Active TMS group(26 subjects) or Sham group (23 subjects). Each participant received once-daily session of TMS treatment for 15 days with10 Hz frequency and 100% motor threshold, using either active or sham coil. Stimulation was localized to the site of strongest left dorsolateral prefrontal cortex (DLPFC)–nucleus accumbens (NAcc) network by functional magnetic resonance imaging. The Hamilton depression rating scale (HAMD) was used to measure depression severity, the temporal experience pleasure scale (TEPS) to measure anhedonia symptoms. Polarity-insensitive modified k-means clustering was used to segment EEG microstates into four canonical microstates (A-D). Independent samples t-tests were used to compare the microstate characteristics between patients and healthy controls. Linear mixed effects models tested for within-subject differences over time and microstate features between Active group and Sham group. To understand the relationship between TMS clinic efficacy and microstate characteristics. Linear mixed effects models were used to test for differences in microstate metrics over time between responder and non-responder groups.

Results:

Compared with healthy controls, patients show a decreased metrics of microstate C(Occurrence P=0.0002,PFDR=0.002,Cohen's d=1.12;Contribution P=0.004, PFDR =0.025, Cohen's d=0.84)and increased metrics of microstate D(Duration P= 0.006,PFDR=0.025,Cohen's d=0.81;Contribution P=0.015, PFDR =0.046, Cohen's d=0.71) . Linear mixed effects models reveal significant interaction effect of group × time on the microstate C (Occurrence F= 5.053,p =0.029; Contribution F =5.006, p =0.030) reflecting increases over time in microstate C on Active group. Clinical response to TMS was associated with increases in features of microstate C(Occurrence F=6.075,p= 0.012; Duration F=4.875,p= 0.037)and decreases in features of microstate D(Occurrence F=5.158,p= 0.032; Contribution F=7.418,p= 0.012; Duration F=4.4079,p= 0.046) . Non-responders showed no significant changes in any microstate. Linear mixed effects models also show significant interaction effect of group × time on the TEPS total score(F =6.724, p =0.013) reflecting increases over time in TEPS total score on Active TMS group, as well as the main effect of time(F =11.692, p =0.001).

Conclusions:

Reduction of metrics microstate C in depressive patients with anhedonia symptoms can be selective modulated through intervention with TMS targeting the left DLPFC–NAcc network. Our finding suggests that microstate C may be closely related to the reward network and anhedonia severity. Furthermore, we identify the changes of microstate C and D are associated with effectiveness of outcome for circuit-based TMS with anhedonia symptoms. Overall, resting-state EEG microstates seems a promising tool for monitoring illness severity and evaluating treatment efficacy through objective neurophysiological biomarkers in psychiatric disorders.

Brain Stimulation:

TMS

Disorders of the Nervous System:

Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1

Emotion, Motivation and Social Neuroscience:

Emotion and Motivation Other

Modeling and Analysis Methods:

EEG/MEG Modeling and Analysis 2

Keywords:

Electroencephaolography (EEG)
Transcranial Magnetic Stimulation (TMS)
Other - Microstates , Major Depressive Disorder, Anhedonia, Neuromodulation

1|2Indicates the priority used for review
Supporting Image: OHBMfig1.jpg
   ·Study Workflow ,Microstate Topographies , Representation and Microstate Changes in Patients of Major Depressive Disorder(MDD) along with Anhedonia and Healthy Controls
Supporting Image: OHBMfig2.jpg
   ·Categorical Microstate Changes After TMS Course and Clinical Symptoms Improvement
 

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