Abstract
Depression is characterized by poor emotion regulation that makes it difficult to escape the effects of emotional pain, but the neuromodulation behind these symptoms is still unclear. This study investigated the neural mechanism of emotional state-related responses during music stimuli in participants with major depressive disorder (MDD) compared to never-depressed (ND) controls. A novel two-level feature selection method, integrating recursive feature elimination based on support vector machine (SVM-RFE) and random forest algorithm (RF), was proposed to screen emotional recognition brain regions (ERBRs). On this basis, the differences of functional connectivity (FC) were systematically analyzed by two-sample t-test. The results demonstrate that ND participants show eight pairs of FCs with a significant difference between positive emotional music stimuli (pEMS) versus negative emotional music stimuli (nEMS) in 15 ERBRs of MDD, but the participants with MDD show one pair of significant difference in FC. The decreased number reflects the fuzzy response to positive and negative emotions in MDD, which appears to arise from obstacle to emotional cognition and regulation. Furthermore, there was no significant difference in FC between MDDs and NDs under pEMS, but a significant difference was detected between the two groups under nEMS (p < 0.01), revealing a ‘bias’ against the negative state in MDD. The current study may help to better comprehend the abnormal evolution from normal to depression and inform the utilization of pEMS in formal treatment for depression.
Similar content being viewed by others
Availability of Data and Materials
The data included fMRI images and descriptions from 19 MDD and 20 ND participants downloaded from Open Neuro database (http://openneuro.org/).
References
Frodl T et al (2010) Functional connectivity bias of the orbitofrontal cortex in drug-free patients with major depression. Biol Psychiat 67(2):161–167. https://doi.org/10.1016/j.biopsych.2009.08.022
Greening SG, Osuch EA, Williamson PC, Mitchell DGV (2014) The neural correlates of regulating positive and negative emotions in medication-free major depression. Social Cognitive and Affective Neuroscience 9(5):628–637. https://doi.org/10.1093/scan/nst027
Guo WB et al (2011) Abnormal neural activities in first-episode, treatment-naive, short-illness-duration, and treatment-response patients with major depressive disorder: a resting-state fMRI study. J Affect Disord 135:326–331. https://doi.org/10.1016/j.jad.2011.06.048
Hamilton JP et al (2012) Functional neuroimaging of major depressive disorder: a meta-analysis and new integration of baseline activation and neural response data. Am J Psychiatry 169(7):693–703. https://doi.org/10.1176/appi.ajp.2012.11071105
Hoban AE et al (2018) The microbiome regulates amygdala-dependent fear recall. Mol Psychiatry 23(5):1134–1144. https://doi.org/10.1038/mp.2017.100
Holzinger A, Matschinger H, Angermeyer M (2012) What to do about depression? Self-help recommendations of the public. Int J Soc Psychiatry 58(4):343–349. https://doi.org/10.1177/0020764010397262
Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA (2015) Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity. JAMA Psychiat 72(6):603–611. https://doi.org/10.1001/jamapsychiatry.2015.0071
Knyazev GG et al (2018) Task-positive and task-negative networks in major depressive disorder: a combined fMRI and EEG study. J Affect Disord 235:211–219. https://doi.org/10.1016/j.jad.2018.04.003
Koelsch S (2014) Brain correlates of music-evoked emotions. Nat Rev Neurosci 15(3):170–180. https://doi.org/10.1038/nrn3666
Lepping RJ et al (2016a) Neural processing of emotional musical and nonmusical stimuli in depression. PLoS ONE 11(9):e0156859. https://doi.org/10.1371/journal.pone.0156859
Lepping RJ, Atchley RA, Savage CR (2016b) Development of a validated emotionally provocative musical stimulus set for research. Psychol Music 44(5):1012–1028. https://doi.org/10.1177/0305735615604509
Louise B et al (2015) The role of the amygdala in the perception of positive emotions: an “intensity detector.” Front Behav Neurosci 9:178–189. https://doi.org/10.3389/fnbeh.2015.00178
Mak AKY et al (2009) Neural correlates of regulation of positive and negative emotions: an fMRI study. Neurosci Lett 457(2):101–106. https://doi.org/10.1016/j.neulet.2009.03.094
Menon V, Levitin DJ (2005) The rewards of music listening: response and physiological connectivity of the mesolimbic system. Neuroimage 28(1):175–184. https://doi.org/10.1016/j.neuroimage.2005.05.053
Murphy ER, Barch DM, Pagliaccio D, Belden AC (2016) Functional connectivity of the amygdala and subgenual cingulate during cognitive reappraisal of emotions in children with MDD history is associated with rumination. Dev Cogn Neurosci 18:89–100. https://doi.org/10.1016/j.dcn.2015.11.003
Ormston K, Howard R, Gallagher K, Mitra S, Jaschke A (2022) The role of music therapy with infants with perinatal brain injury. Brain Sci 12(5):578. https://doi.org/10.3390/brainsci12050578
Patin A, Hurlemann R (2011) Modulating amygdala responses to emotion: evidence from pharmacological fMRI. Neuropsychologia 49(4):706–717. https://doi.org/10.1016/j.neuropsychologia.2010.10.004
Rauscher FH, Shaw GL, Ky CN (1993) Music and spatial task performance. Nature 365(6447):611–611. https://doi.org/10.1038/365611a0
Salimpoor VN, Benovoy M, Larcher A, Dagher A, Zatorre RJ (2011) Anatomically distinct dopamine release during anticipation and experience of peak emotion to music. Nature Neurosci 14,2:257–262. https://doi.org/10.1038/nn.2726
Shi Y, Zeng W, Wang N, Chen D (2015) A novel fMRI group data analysis method based on data-driven reference extracting from group subjects.” Comput Methods Programs Biomed 122,3:362–371. https://doi.org/10.1016/j.cmpb.2015.09.002
Serrano D et al (2022) Gender analysis of the frequency and course of depressive disorders and relationship with personality traits in general population: a prospective cohort study. J Affect Disord 302:241–248. https://doi.org/10.1016/j.jad.2022.01.088
Sheline YI et al (2010) Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. Proc Natl Acad Sci 107(24):11020–11025. https://doi.org/10.1073/pnas.1000446107
Shi YH, Zeng WM, Wang NZ, Zhao L (2018) A new constrained spatiotemporal ICA method based on multi-objective optimization for fMRI data analysis. IEEE Trans Neural Syst Rehabil Eng 26(9):1690–1699. https://doi.org/10.1109/TNSRE.2018.2857501
Smoski MJ et al (2009) fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder. J Affect Disord 118:69–78. https://doi.org/10.1016/j.jad.2009.01.034
Tang S et al (2019) Anomalous functional connectivity of amygdala subregional networks in major depressive disorder. Depress Anxiety 36(8):712–722. https://doi.org/10.1002/da.22901
Tang NL et al (2021) Clinical response of major depressive disorder patients with suicidal ideation to individual target-transcranial magnetic stimulation. Front Psych 12:768819. https://doi.org/10.3389/fpsyt.2021.768819
Tozzi L et al (2017) Functional magnetic resonance imaging correlates of emotion recognition and voluntary attentional regulation in depression: a generalized psycho-physiological interaction study. J Affect Disord 208:535–544. https://doi.org/10.1016/j.jad.2016.10.029
Tozzi L et al (2021) Reduced functional connectivity of default mode network subsystems in depression: meta-analytic evidence and relationship with trait rumination. Neuroimage-Clinical 30:102570. https://doi.org/10.1016/j.nicl.2021.102570
Van Wingen GA et al (2011) Neural basis of emotion recognition deficits in first-episode major depression. Psychol Med 41(7):1397–1405. https://doi.org/10.1017/S0033291710002084
Whalen PJ, Shin LM, Somerville LH, McLean AA, Kim H (2002) Functional neuroimaging studies of the amygdala in depression. Seminars in Clinical Neuropsychiatry 7(4):234–242. https://doi.org/10.1053/scnp.2002.35219
Yan CG et al (2019) Reduced default mode network functional connectivity in patients with recurrent major depressive disorder. Proc Natl Acad Sci 116(18):9078–9083. https://doi.org/10.1073/pnas.1900390116
Yang CX et al (2022) Altered cingulum functioning in major depressive disorder patient with suicide attempts: a resting-state functional magnetic resonance imaging study. Frontiers Neurosci 16(849158): 849158. https://doi.org/10.3389/fnins.2022.849158
Zeng LL et al (2012) Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. Brain 135(5):1498–1507. https://doi.org/10.1093/brain/aws059
Zheng HN et al (2018) The dynamic characteristics of the anterior cingulate cortex in resting-state fMRI of patients with depression. J Affect Disord 227:391–397. https://doi.org/10.1016/j.jad.2017.11.026
Funding
This work was supported by the National Natural Science Foundation of China (Nos. 61803257, 31870979) and the Natural Science Foundation of Shanghai (No. 18ZR1417200).
Author information
Authors and Affiliations
Contributions
Jin Deng and Ying Li conceived and designed the study. Jin Deng and Yuewei Chen performed the experiments. Jin Deng, Ying Li, and Yuewei Chen collected the samples and analyzed the data. Jin Deng and Yuewei Chen wrote the manuscript. Weiming Zeng and Xiaoqi Luo reviewed and edited the manuscript. All authors read and approved the final version of the manuscript.
Corresponding authors
Ethics declarations
Competing Interests
The authors declare no competing interests.
Ethics Approval and Consent to Participate
The paper does not contain any studies with human participants or animals performed by any of the authors; therefore, the ethical approval and consent to participate are not applicable. The authors have consented to publication of this article.
Conflict of Interest
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Deng, J., Chen, Y., Zeng, W. et al. Brain Response of Major Depressive Disorder Patients to Emotionally Positive and Negative Music. J Mol Neurosci 72, 2094–2105 (2022). https://doi.org/10.1007/s12031-022-02061-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12031-022-02061-3