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An MEG Study on Major Depressive Disorder

Poster No:

561 

Submission Type:

Abstract Submission 

Authors:

Junling Sheng1, Lingling Hua2, Jiabo Shi1, YISHAN DU3, Zhijian Yao2

Institutions:

1the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 2Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 3 Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu

First Author:

Junling Sheng  
the Affiliated Brain Hospital of Nanjing Medical University
Nanjing, Jiangsu

Co-Author(s):

Lingling Hua  
Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University
Nanjing, Jiangsu
Jiabo Shi  
the Affiliated Brain Hospital of Nanjing Medical University
Nanjing, Jiangsu
YISHAN DU  
 Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University
Nanjing, Jiangsu
Zhijian Yao  
Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University
Nanjing, Jiangsu

Introduction:

Abnormalities in beta frequency band energy and functional connectivity are common in patients with Major Depressive Disorder (MDD) and may be related to the processing of negative emotions and impaired cognitive function(Du et al., 2023; Wu et al., 2022). Autonomic nervous system imbalance is also commonly observed in individuals with MDD(Koch et al., 2019), but the relationship between abnormal beta frequency band connectivity and autonomic dysfunction remains unclear. This study aims to explore the relationship between autonomic nervous system imbalance and beta frequency band functional connectivity in patients with MDD.

Methods:

The study included 132 patients with MDD and 103 age- and sex-matched healthy controls (HC). A 275-channel whole-head CTF Magnetoencephalography (MEG) system with a sampling rate of 1200 Hz was used for MEG recording in a specially shielded room. All participants completed a 5-minute resting-state MEG scan along with synchronized electrocardiogram (ECG) data collection. MEG data were used to calculate beta frequency band functional connectivity across the whole brain, and heart rate variability(HRV) data were derived from the ECG. Independent samples t-tests and Pearson correlation analysis were used for statistical analysis.

Results:

Compared to HC, patients with MDD exhibited significantly lower HRV metrics, including pNNI50, RMSSD, SDNN, LF, HF, and total power (p < 0.05), with the exception of average heart rate. Furthermore, the MDD group showed diminished beta frequency band connectivity in several brain regions, including from CAL.L (Calcarine fissure and surrounding cortex) to PoCG.L (Postcentral gyrus), OLF.L (Olfactory cortex) to ANG.R (Angular gyrus), SFGmed.L (Superior frontal gyrus, medial) to ANG.R (Angular gyrus), OLF.L to PCL.L (Paracentral lobule), CAL.L to PCL.L, and SFGmed.L to ITG.R (Inferior temporal gyrus) (all p < 0.05, FDR corrected). Additionally, functional connectivity between OLF.L and ANG.R was positively correlated with several HRV indices, including pNNI50, RMSSD, and HF.

Conclusions:

In line with previous studies, patients with MDD exhibit more pronounced autonomic nervous system dysfunction. This dysfunction may be associated with reduced connectivity between the default network and subcortical beta frequency bands in patients with MDD.

Disorders of the Nervous System:

Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1

Modeling and Analysis Methods:

Connectivity (eg. functional, effective, structural)

Novel Imaging Acquisition Methods:

MEG 2

Physiology, Metabolism and Neurotransmission:

Neurophysiology of Imaging Signals

Keywords:

Affective Disorders
ELECTROPHYSIOLOGY
Emotions
MEG
Psychiatric Disorders

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.

Resting state

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

Patients

Was this research conducted in the United States?

Yes

Are you Internal Review Board (IRB) certified? Please note: Failure to have IRB, if applicable will lead to automatic rejection of abstract.

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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.

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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.

Yes

Please indicate which methods were used in your research:

MEG

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

3.0T

Which processing packages did you use for your study?

Other, Please list  -   fieldtrip

Provide references using APA citation style.

References：
Du, Y., Hua, L., Tian, S., Dai, Z., Xia, Y., Zhao, S., Zou, H., Wang, X., Sun, H., Zhou, H., Huang, Y., Yao, Z., & Lu, Q. (2023). Altered beta band spatial-temporal interactions during negative emotional processing in major depressive disorder: An MEG study. Journal of Affective Disorders, 338, 254–261. https://doi.org/10.1016/j.jad.2023.06.001
Koch, C., Wilhelm, M., Salzmann, S., Rief, W., & Euteneuer, F. (2019). A meta-analysis of heart rate variability in major depression. Psychological Medicine, 49(12), 1948–1957. https://doi.org/10.1017/S0033291719001351
Wu, Z., Zhong, X., Lin, G., Peng, Q., Zhang, M., Zhou, H., Wang, Q., Chen, B., & Ning, Y. (2022). Resting-state electroencephalography of neural oscillation and functional connectivity patterns in late-life depression. Journal of Affective Disorders, 316, 169–176. https://doi.org/10.1016/j.jad.2022.07.055

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