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Original Article
Functional imaging analysis of the whole brain ALFF and DC in MDD after medication treatment
LI Yingna  LI Hui  ZHAO Liying  WANG Zhiren 

Cite this article as: Li YN, Li H, Zhao LY, et al. Functional imaging analysis of the whole brain ALFF and DC in MDD after medication treatment[J]. Chin J Magn Reson Imaging, 2022, 13(1): 64-69. DOI:10.12015/issn.1674-8034.2022.01.013.


[Abstract] Objective To evaluate the altered functional change in patients with major depressive disorder (MDD) before and after medication treatment using the whole brain amplitude of low-frequency fluctuation (ALFF) and degree centrality (DC) levels, and investigate the potential mechanism of brain functional change.Materials and Methods: Seventeen participants (male 8/female 9) diagnosed with MDD were included in the study and underwent one brain functional image scan. The same rs-fMRI scan was undergone again after 8-week medication treatment. The progression of disease of patients was measured by 17-item Hamilton Rating Scale for Depression (HAMD17) and Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) following each MRI scan. The significant difference of clinical scales and ALFF and DC levels before and after medication treatment were determined using paired t-test. The relationship between ALFF and DC levels in the whole brain regions and HAMD17 and RBANS scores were based on Pearson correlation coefficient. All data were corrected by Gaussian random field theory (GRF, voxel-wise P<0.01, cluster-wise P<0.05, and two-tailed test).Results The paired t-test found that the scores of HAMD17 after medication treatment were significantly lower than that before (P<0.001), while immediate memory and attention scores were significantly higher than before (P<0.001). Moreover, the ALFF values after medication treatment were higher than that before in the Putamen_L (AAL) and Frontal_Mid_R/Frontal_Sup_R (AAL) (GRF correction, voxel level P<0.01, cluster level P<0.05). The DC values after medication treatment were higher in the Calcarine_L/Cerebelum_6_R and lower in the Frontal_Sup_R/Frontal_Mid_R (AAL) (GRF correction, voxel level P<0.01, cluster level P<0.05). Pearson correlation showed that there was a positive correlation found between ALFF values and education (r2=0.27, P=0.03) in the Frontal_Mid_R (AAL) (GRF correction, voxel level P<0.01, cluster level P<0.05).The after treatment DC values were negatively corelated with RBANS-delayed memory score (r2=0.672, P<0.0001) in the Temporal_Sup_R (AAL), and RBANS-Immediate Memory score (r2=0.668, P<0.0001) in the SupraMarginal_R/Temporal_Sup_R (GRF correction, voxel level P<0.01, cluster level P<0.05), respectively.Conclusions The present study demonstrated that the resting-state functional brain activity (ALFF, DC) had strong relationship with cognitive ability (RBANS scores) in patients with MDD after medication treatment, which might provide new imaging markers as progression of MDD. Our results indicated that the ALFF and DC might help detect the underlying pathological mechanism in MDD continuum.
[Keywords] major depressive disorder;medication treatment;amplitude of low-frequency fluctuation;degree centrality;magnetic resonance imaging;resting-state functional magnetic resonance imaging

LI Yingna1   LI Hui2   ZHAO Liying1   WANG Zhiren2*  

1 Department of Medical Imaging Center, Beijing Huilongguan Hospital, Beijing 100096, China

2 Department of Psychiatry Research Center, Beijing Huilongguan Hospital, Beijing 100096, China

Wang ZR, E-mail: zhiren75@163.com

Conflicts of interest   None.

Received  2021-08-04
Accepted  2021-11-10
DOI: 10.12015/issn.1674-8034.2022.01.013
Cite this article as: Li YN, Li H, Zhao LY, et al. Functional imaging analysis of the whole brain ALFF and DC in MDD after medication treatment[J]. Chin J Magn Reson Imaging, 2022, 13(1): 64-69.DOI:10.12015/issn.1674-8034.2022.01.013

[1]
Luo ZY, Chen GM, Jia YB, et al. Shared and specific dynamics of brain segregation and integration in bipolar disorder and major depressive disorder: A resting-state functional magnetic resonance imaging study[J]. Journal of Affective Disorders, 2021, 280: 279-286. DOI: 10.1016/j.jad.2020.11.012.
[2]
Zuo ZW. Alterations in cerebral structure, function and iron deposition in patients with major depressive disorder: a multiparameter MRI study[D]. Army Medical University, 2019.
[3]
Li YN, Fan FM, Feng ZY, et al. Resting state functional magnetic resonance imaging study of amplitude of low-frequency fluctuation and fractional amplitude of low-frequency fluctuation in schizophrenia with violent behaviors[J]. Chin J Psychiatry, 2020, 53(1): 16-22. DOI: 10.3760/cma.j.issn.1006-7884.2020.01.004.
[4]
Buckner RL, Sepulcre J, Talukdar T, et al. Cortical hubs revealed by intrinsic functional connectivity: Mapping, assessment of stability, and relation to Alzheimer's disease[J]. J Neurosci, 2009, 29(6): 1860-1873. DOI: 10.1523/JNEUROSCI.5062-08.2009.
[5]
Jiang GH, Qiu YW, Zhang XL, et al. Amplitude low-frequency oscillation abnormalities in the heroin users: a resting state fMRI study[J]. Neuroimage, 2011, 57(1): 149-154. DOI: 10.1016/j.neuroimage.2011.04.004.
[6]
Wang J, Zhang JR, Zang YF, et al. Consistent decreased activity in the putamen in Parkinson's disease: a meta-analysis and an independent validation of resting-state fMRI[J].Gigascience, 2018, 7(6): giy071. DOI: 10.1093/gigascience/giy071.
[7]
Disner SG, Marquardt CA, Mueller BA, et al. Spontaneous neural activity differences in posttraumatic stress disorder: a quantitative resting-state meta-analysis and fMRI validation[J]. Hum Brain Mapp, 2018, 39(2): 837-850. DOI: 10.1002/hbm.23886.
[8]
Zhou M, Hu XY, Lu L, et al. Intrinsic cerebral activity at resting state in adults with major depressive disorder: A meta-analysis[J]. Prog Neuropsychopharmacol Biol Psychiatry, 2017, 75: 157-164. DOI: 10.1016/j.pnpbp.2017.02.001.
[9]
Zhong SM, Chen GM, Zhao LP, et al. Correlation between intrinsic brain activity and thyroid-stimulating hormone level in unmedicated bipolar Ⅱ depression[J]. Neuroendocrinology, 2019, 108(3): 232-243. DOI: 10.1159/000497182.
[10]
Peters SK, Katharine DK, Downar J, et al. Cortico-striatal-thalamic loop circuits of the salience network: a central pathway in psychiatric disease and treatment[J]. Front Syst Neurosci, 2016, 10: 104. DOI: 10.3389/fnsys.2016.00104.
[11]
Helm K, Viol K, Weiger TM, et al. Neuronal connectivity in major depressive disorder: a systematic review[J]. Neuropsychiatr Dis Treat, 2018, 14: 2715-2737. DOI: 10.2147/NDT.S170989.
[12]
Kolomeets NS, and Uranova NA. Numerical density of oligodendrocytes and oligodendrocyte clusters in the anterior putamen in major psychiatric disorders[J]. European Archives of Psychiatry and Clinical Neuroscience, 2020, 270(7): 841-850. DOI: 10.1007/s00406-020-01108-z.
[13]
Yan LN, Li CN, Su BL, et al. Relationship between Resting-state Functional Magnetic Resonance Imaging and the Disease Severity in Patients with Depressive Disorder[J]. Chin Gen Prac, 2014, 17(7): 800-802. DOI: 10.3969/j.issn.1007-9572.2014.07.018.
[14]
Erdeniz B, Serin E, İbadi Y, et al. Decreased functional connectivity in schizophrenia: the relationship between social functioning, social cognition and graph theoretical network measures[J]. Psychiatry Res Neuroimaging, 2017, 270: 22-31. DOI: 10.1016/j.pscychresns.2017.09.011
[15]
Kim JH, Son YD, Kim JH, et al. Neural signature for auditory hallucinations in schizophrenia: a high-resolution positron emission tomography study with fudeoxyglucose (18F)[J]. Clin Psychopharmacol Neurosci, 2018, 16(3): 324-332. DOI: 10.9758/cpn.2018.16.3.324.
[16]
Huang XJ, Pu WD, Li XM, et al. Decreased left putamen and thalamus volume correlates with delusions in frst-episode schizophrenia patients[J]. Front Psychiatry, 2017, 8: 245. DOI: 10.3389/fpsyt.2017.00245.
[17]
Stern Y. What is cognitive reserve? Theory and research application of the reserve concept[J]. J Int Neuropsychol Soc, 2002, 8(3): 448-460.
[18]
Phillips ML, Ladouceur CD, Drevets WC. A neural model of voluntary and automatic emotion regulation: Implications for understanding the pathophysiology and neurodevelopment of bipolar disorder[J]. Mol Psychiatry, 2008, 13(9): 829,833-857. DOI: 10.1038/mp.2008.65.
[19]
Kupfer DJ, Frank E, Phillips ML. Major depressive disorder: new clinical, neurobiological, and treatment perspectives[J]. The Lancet, 2012, 379(9820): 1045-1055. DOI: 10.1016/S0140-6736(11)60602-8.
[20]
Anticevic A, Brumbaugh MS, Winkler AM, et al. Global prefrontal and fronto-amygdala dysconnectivity in bipolar I disorder with psychosis history[J]. Biol Psychiatry, 2013, 73(6): 565-573. DOI: 10.1016/j.biopsych.2012.07.031.
[21]
Peng YL. The Studies on Brain Functional Features of Mild Cognitive Impairment Based on RS-fMRI[D]. XIDIAN UNIVERSITY, 2017.
[22]
Bora E, Harrison BJ, Davey CG, et al. Meta-analysis of volumetric abnormalities in cortico-striatal-pallidal-thalamic circuits in major depressive disorder[J]. Psychol Med, 2012, 42(4): 671-681. DOI: 10.1017/S0033291711001668.
[23]
Lupo M, Siciliano L, Leggio M. From cerebellar alterations to mood disorders: a systematic review[J]. Neurosci. Biobehav. Rev, 2019, 103: 21-28. DOI: 10.1016/j.neubiorev.2019.06.008.
[24]
Phillips JR, Hewedi DH, Eissa AM, et al. The cerebellum and psychiatric disorders[J]. Front Public Health, 2015, 3: 66. DOI: 10.3389/fpubh.2015.00066.
[25]
Gong JY, Wang JN, Qiu SJ, et al. Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysis[J]. Translational Psychiatry, 2020, 10(1): 353. DOI: 10.1038/s41398-020-01036-5.
[26]
Lupo M, Olivito G, Siciliano L, et al. Development of a psychiatric disorder linked to cerebellar lesions[J]. Cerebellum, 2018, 17(4): 438-446. DOI: 10.1007/s12311-018-0926-5.
[27]
Redlich R, Almeida JR, Grotegerd D, et al. Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach[J]. JAMA Psychiat, 2014, 71(11): 1222-1230. DOI: 10.1001/jamapsychiatry.2014.1100.
[28]
Wang Y, Wang J, Jia Y, et al. Topologically convergent and divergent functional connectivity patterns in unmedicated unipolar depression and bipolar disorder[J]. Transl Psychiatry, 2017, 7(7): e1165. DOI: 10.1038/tp.2017.117.
[29]
Cheng C, Dong D, Jiang Y, et al. State-related alterations of spontaneous neural activity in current and remitted depression revealed by resting-state fMRI[J]. Front Psychol, 2019, 10: 245. DOI: 10.3389/fpsyg.2019.00245.
[30]
Chen G, Zhao L, Jia Y, et al. Abnormal cerebellum-DMN regions connectivity in unmedicated bipolarⅡdisorder[J]. J. Affect. Disord, 2019, 243: 441-447. DOI: 10.1016/j.jad.2018.09.076.
[31]
Emam H, Steffens DC, Pearlson GD, et al. Increased ventromedial prefrontal cortex activity and connectivity predict poor sertraline treatment outcome in late-life depression[J].Int J Geriatr Psychiatry, 2019, 34(5): 730-737. DOI: 10.1002/gps.5079.
[32]
Clausi S, Lupo M, Olivito G, et al. Depression disorder in patients with cerebellar damage: awareness of the mood state[J]. J Affect Disord, 2019, 245: 386-393. DOI: 10.1016/j.jad.2018.11.029.
[33]
Keren H, O'Callaghan G, Vidal RP, et al. Reward processing in depression: a conceptual and meta-analytic review across fMRI and EEG studies[J]. Am J Psychiatry, 2018, 175(11): 1111-1120. DOI: 10.1176/appi.ajp.2018.17101124.
[34]
Philip NS, Barredo J, Aiken E, et al. Neuroimaging mechanisms of therapeutic transcranial magnetic stimulation for major depressive disorder[J]. Biol Psychiatry Cogn Neurosci Neuroimaging, 2018, 3: 211-222. DOI: 10.1016/j.bpsc.2017.10.007.
[35]
Golby AJ, Poldrack RA, Brewer JB, et al. Material specific lateralization in the Medial Temporal lobe and preFrontal cortex during memory encoding[J]. Brain, 2001, 124: 1841-1854. DOI: 10.1093/brain/124.9.1841.
[36]
Bohbot VD, Kalina M, Stepankova K, et al. Spatial memory deficits in patients with lesions to the right hippocampus and to the right Parahippocampal cortex[J]. Neuropsychologia, 1998, 36(11): 1217-1238. DOI: 10.1016/s0028-3932(97)00161-9.
[37]
Spiers HJ, Burgess N, Maguire E, et al. Unilateral Temporal lobectomy patients show lateralized topographical and episodic memory deficits in a virtual town[J]. Brain, 2001, 124: 2476-2489. DOI: 10.1093/brain/124.12.2476.
[38]
Silani G, Lamm C, Ruff CC, et al. Right supramarginal gyrus is crucial to overcome emotional egocentricity bias in social judgments[J]. J Neurosci, 2013, 33(39): 15466-15476. DOI: 10.1523/JNEUROSCI.1488-13.2013.

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