Abstract
Objective
The cerebellum plays an important role in depression. Cerebro-cerebellar circuits have been found to show aberrance in bipolar disorder (BD) and major depressive disorder (MDD). However, whether the cerebro-cerebellar connectivity contributes equally to the pathologic mechanisms of BD and MDD remains unknown.
Methods
We recruited 33 patients with MDD, 32 patients with BD, and 43 healthy controls (HC). We selected six seed regions (three per hemisphere) in the cerebrum, corresponding to the affective, cognitive control, and default mode networks, to establish cerebro-cerebellar functional connectivity maps.
Results
Relative to the HC, both the BD and MDD patients exhibited weaker negative connectivity between the right subgenual anterior cingulate cortex and the cerebellar vermis IV_V (pBD = 0.03, pMDD = 0.001) and weaker positive connectivity between the left precuneus and the left cerebellar lobule IX (pBD = 0.043, pMDD = 0.000). Moreover, the MDD patients showed weaker positive connectivity in the left precuneus—left cerebellar lobule IX circuit than the BD patients (p = 0.049). In addition, the BD patients showed weaker positive connectivity in the right dorsolateral prefrontal cortex—left cerebellar lobule Crus Ι circuit compared to the HC (p = 0.002) or the MDD patients (p = 0.013). Receiver operating characteristic curves analyses showed that the altered cerebro-cerebellar connectivities could be used to distinguish the patients from the HC with relatively high accuracy.
Conclusions
Our findings suggested that differences in connectivity of cerebro-cerebellar circuits, which are involved in affective or cognitive functioning, significantly contributed to BD and MDD.
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Abbreviations
- BD:
-
Bipolar disorder
- MDD:
-
Major depressive disorder
- HC:
-
Healthy controls
- DLPFC:
-
Dorsolateral prefrontal cortex
- SCID-IV:
-
Structured Clinical Interview for DSM-IV
- HDRS:
-
Hamilton Depression Rating Scale
- YMRS:
-
Young Mania Rating Scale
- TR:
-
Repetition time
- TE:
-
Echo time
- FOV:
-
Field of view
- FD-J:
-
Frame-wise displacement Jenkinson
- ROI:
-
Region of interest
- sACC:
-
Subgenual anterior cingulate cortex
- PREC:
-
Precuneus
- M1:
-
Postcentral gyri
- FDR:
-
False discovery rate
- ANCOVA:
-
One-way analysis of covariance
- LSD:
-
Least significant difference test
- ROC:
-
Receiver operating characteristic
References
Alalade E, Denny K, Potter G, Steffens D, Wang L (2011) Altered cerebellar-cerebral functional connectivity in geriatric depression. PLoS One 6:e20035
Anand A, Li Y, Wang Y, Wu J, Gao S, Bukhari L, Mathews VP, Kalnin A, Lowe MJ (2005) Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study. Biol Psychiatry 57:1079–1088. https://doi.org/10.1016/j.biopsych.2005.02.021
Arnone D, Job D, Selvaraj S, Abe O, Amico F, Cheng Y, Colloby SJ, O'Brien JT, Frodl T, Gotlib IH, Ham BJ, Kim MJ, Koolschijn PCMP, Périco CAM, Salvadore G, Thomas AJ, van Tol MJ, van der Wee NJA, Veltman DJ, Wagner G, McIntosh AM (2016) Computational meta-analysis of statistical parametric maps in major depression. Hum Brain Mapp 37:1393–1404. https://doi.org/10.1002/hbm.23108
Aydemir O, Cubukcuoglu Z, Erdin S, Tas C, Onur E, Berk M (2014) Oxidative stress markers, cognitive functions, and psychosocial functioning in bipolar disorder: an empirical cross-sectional study. Rev Bras Psiquiatr 36:293–297. https://doi.org/10.1590/1516-4446-2013-1299
Bauer IE, Pascoe MC, Wollenhaupt-Aguiar B, Kapczinski F, Soares JC (2014) Inflammatory mediators of cognitive impairment in bipolar disorder. J Psychiatr Res 56:18–27. https://doi.org/10.1016/j.jpsychires.2014.04.017
Baumann O, Mattingley JB (2012) Functional topography of primary emotion processing in the human cerebellum. Neuroimage 61:805–811
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate - a practical and powerful approach to multiple testing. J R Stat Soc 57:289–300
Bernard JA, Seidler RD, Hassevoort KM, Benson BL, Welsh RC, Wiggins JL, Jaeggi SM, Buschkuehl M, Monk CS, Jonides J, Peltier SJ (2012) Resting state cortico-cerebellar functional connectivity networks: a comparison of anatomical and self-organizing map approaches. Front Neuroanat 6
Brady RO Jr, Tandon N, Masters GA, Margolis A, Cohen BM, Keshavan M, Ongur D (2017) Differential brain network activity across mood states in bipolar disorder. J Affect Disord 207:367–376. https://doi.org/10.1016/j.jad.2016.09.041
Breakspear M, Roberts G, Green MJ, Nguyen VT, Frankland A, Levy F, Lenroot R, Mitchell PB (2015) Network dysfunction of emotional and cognitive processes in those at genetic risk of bipolar disorder. Brain 138:3427–3439. https://doi.org/10.1093/brain/awv261
Buckner RL, Krienen FM, Castellanos A, Diaz JC, Yeo BT (2011) The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol 106:2322–2345. https://doi.org/10.1152/jn.00339.2011
Bush G, Luu P, Posner MI (2000) Cognitive and emotional influences in anterior cingulate cortex. Trends Cogn Sci 4:215–222
Castellazzi G, Palesi F, Casali S, Vitali P, Sinforiani E, Wheeler-Kingshott CA, D'Angelo E (2014) A comprehensive assessment of resting state networks: bidirectional modification of functional integrity in cerebro-cerebellar networks in dementia. Front Neurosci 8:223. https://doi.org/10.3389/fnins.2014.00223
Chai XJ, Whitfield-Gabrieli S, Shinn AK, Gabrieli JDE, Nieto Castañón A, McCarthy JM, Cohen BM, Öngür D (2011) Abnormal medial prefrontal cortex resting-state connectivity in bipolar disorder and schizophrenia. Neuropsychopharmacology 36:2009–2017. https://doi.org/10.1038/npp.2011.88
Clark L, Sahakian B, Frank E, Kupfer D (2008) State-of-Science Review: SR-B15 Neurocognition and Neuroimaging in Major Depressive Disorder and Bipolar Depression: Implications for Treatment and Functional Outcome
Cole MW, Schneider W (2007) The cognitive control network: integrated cortical regions with dissociable functions. Neuroimage 37:343–360
Cordova-Palomera A et al (2016) Environmental factors linked to depression vulnerability are associated with altered cerebellar resting-state synchronization. Sci Rep 6:37384. https://doi.org/10.1038/srep37384
DelBello MP, Strakowski SM, Zimmerman ME, Hawkins JM, Sax KW (1999) MRI analysis of the cerebellum in bipolar disorder: a pilot study. Neuropsychopharmacology 21:63–68. https://doi.org/10.1016/S0893-133X(99)00026-3
Depping MS, Nolte HM, Hirjak D, Palm E, Hofer S, Stieltjes B, Maier-Hein K, Sambataro F, Wolf RC, Thomann PA (2017) Cerebellar volume change in response to electroconvulsive therapy in patients with major depression. Prog Neuro-Psychopharmacol Biol Psychiatry 73:31–35. https://doi.org/10.1016/j.pnpbp.2016.09.007
Depping MS, Wolf ND, Vasic N, Sosic-Vasic Z, Schmitgen MM, Sambataro F, Wolf RC (2018) Aberrant resting-state cerebellar blood flow in major depression. J Affect Disord 226:227–231. https://doi.org/10.1016/j.jad.2017.09.028
Diedrichsen J, Balsters JH, Flavell J, Cussans E, Ramnani N (2009) A probabilistic MR atlas of the human cerebellum. Neuroimage 46:39–46
Disner SG, Beevers CG, Haigh EA, Beck AT (2011) Neural mechanisms of the cognitive model of depression. Nat Rev Neurosci 12:467–477. https://doi.org/10.1038/nrn3027
Fernández-Corcuera P, Salvador R, Monté GC, Salvador Sarró S, Goikolea JM, Amann B, Moro N, Sans-Sansa B, Ortiz-Gil J, Vieta E, Maristany T, McKenna PJ, Pomarol-Clotet E (2013) Bipolar depressed patients show both failure to activate and failure to de-activate during performance of a working memory task. J Affect Disord 148:170–178
Fischer AS, Keller CJ, Etkin A (2016) The clinical applicability of functional connectivity in depression: pathways toward more targeted intervention. Biol Psychiatry Cogn Neurosci Neuroimaging 1:262–270. https://doi.org/10.1016/j.bpsc.2016.02.004
Fox MD, Raichle ME (2007) Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8:700–711
Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME (2005) The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci U S A 102:9673–9678
Friston KJ, Williams S, Howard R, Frackowiak RS, Turner R (1996) Movement-related effects in fMRI time-series. Magn Reson Med 35:346–355
Gildengers AG, Butters MA, Chisholm D, Anderson SJ, Begley A, Holm M, Rogers JC, Reynolds CF III, Mulsant BH (2012) Cognition in older adults with bipolar disorder versus major depressive disorder. Bipolar Disord 14:198–205. https://doi.org/10.1111/j.1399-5618.2012.00995.x
Goya-Maldonado R, Brodmann K, Keil M, Trost S, Dechent P, Gruber O (2016) Differentiating unipolar and bipolar depression by alterations in large-scale brain networks. Hum Brain Mapp 37:808–818
Greicius MD, Krasnow B, Reiss AL, Menon V (2003) Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci U S A 100:253–258. https://doi.org/10.1073/pnas.0135058100
Guo W, Liu F, Liu J, Yu L, Zhang Z, Zhang J, Chen H, Xiao C (2013a) Is there a cerebellar compensatory effort in first-episode, treatment-naive major depressive disorder at rest? Prog Neuro-Psychopharmacol Biol Psychiatry 46:13–18
Guo W, Liu F, Xue Z, Gao K, Liu Z, Xiao C, Chen H, Zhao J (2013b) Abnormal resting-state cerebellar-cerebral functional connectivity in treatment-resistant depression and treatment sensitive depression. Prog Neuro-Psychopharmacol Biol Psychiatry 44:51–57
Gusnard DA, Akbudak E, Shulman GL, Raichle ME (2001) Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proc Natl Acad Sci U S A 98:4259–4264. https://doi.org/10.1073/pnas.071043098
Habas C, Kamdar N, Nguyen D, Prater K, Beckmann CF, Menon V, Greicius MD (2009) Distinct cerebellar contributions to intrinsic connectivity networks. J Neurosci 29:8586–8594
Hamilton M (1960) A rating scale for depression. J Neurol Neurosurg Psychiatry 23:56–62
He H et al (2017) Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders. Brain Struct Funct 222:1–14
Hirschfeld RM, Lewis L, Vornik LA (2003) Perceptions and impact of bipolar disorder: how far have we really come? Results of the national depressive and manic-depressive association 2000 survey of individuals with bipolar disorder. J Clin Psychiatry 64:161–174
Houenou J, Frommberger J, Carde S, Glasbrenner M, Diener C, Leboyer M, Wessa M (2011) Neuroimaging-based markers of bipolar disorder: evidence from two meta-analyses. J Affect Disord 132:344–355. https://doi.org/10.1016/j.jad.2011.03.016
Judd LL et al (2012) Prevalence and clinical significance of subsyndromal manic symptoms, including irritability and psychomotor agitation, during bipolar major depressive episodes. J Affect Disord 138:440–448
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 Psychiatry 72:603–611
Krienen FM, Buckner RL (2009) Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity. Cereb Cortex 19:2485–2497
Li M, Das T, Deng W, Wang Q, Li Y, Zhao L, Ma X, Wang Y, Yu H, Li X, Meng Y, Palaniyappan L, Li T (2017) Clinical utility of a short resting-state MRI scan in differentiating bipolar from unipolar depression. Acta Psychiatr Scand 136:288–299. https://doi.org/10.1111/acps.12752
Liu L, Zeng LL, Li Y, Ma Q, Li B, Shen H, Hu D (2012) Altered cerebellar functional connectivity with intrinsic connectivity networks in adults with major depressive disorder. PLoS One 7:e39516
Liu Y, Wu X, Zhang J, Guo X, Long Z, Yao L (2015) Altered effective connectivity model in the default mode network between bipolar and unipolar depression based on resting-state fMRI. J Affect Disord 182:8–17. https://doi.org/10.1016/j.jad.2015.04.009
Ma Q, Zeng LL, Shen H, Liu L, Hu D (2013) Altered cerebellar-cerebral resting-state functional connectivity reliably identifies major depressive disorder. Brain Res 1495:86–94
MacQueen GM, Memedovich KA (2017) Cognitive dysfunction in major depression and bipolar disorder: assessment and treatment options. Psychiatry Clin Neurosci 71:18–27. https://doi.org/10.1111/pcn.12463
Mamah D, Barch DM, Repovs G (2013) Resting state functional connectivity of five neural networks in bipolar disorder and schizophrenia. J Affect Disord 150:601–609
Manelis A, Almeida JR, Stiffler R, Lockovich JC, Aslam HA, Phillips ML (2016) Anticipation-related brain connectivity in bipolar and unipolar depression: a graph theory approach. Brain 139:2554–2566
McCarthy H, Skokauskas N, Mulligan A, Donohoe G, Mullins D, Kelly J, Johnson K, Fagan A, Gill M, Meaney J, Frodl T (2013) Attention network hypoconnectivity with default and affective network hyperconnectivity in adults diagnosed with attention-deficit/hyperactivity disorder in childhood. JAMA Psychiatry 70:1329–1337
Menon V (2011) Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn Sci 15:483–506. https://doi.org/10.1016/j.tics.2011.08.003
Merikangas KR, Jin R, He JP, Kessler RC, Lee S, Sampson NA, Viana MC, Andrade LH, Hu C, Karam EG, Ladea M, Medina-Mora ME, Ono Y, Posada-Villa J, Sagar R, Wells JE, Zarkov Z (2011) Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. Arch Gen Psychiatry 68:241–251
Mills NP, Delbello MP, Adler CM, Strakowski SM (2005) MRI analysis of cerebellar vermal abnormalities in bipolar disorder. Am J Psychiatry 162:1530–1533. https://doi.org/10.1176/appi.ajp.162.8.1530
Minichino A, Bersani FS, Trabucchi G, Albano G, Primavera M, Delle CR, Biondi M (2014) The role of cerebellum in unipolar and bipolar depression: a review of the main neurobiological findings. Riv Psichiatr 49:124–131
Moulton EA, Elman I, Pendse G, Schmahmann J, Becerra L, Borsook D (2011) Aversion-related circuitry in the cerebellum: responses to noxious heat and unpleasant images. J Neurosci 31:3795–3804. https://doi.org/10.1523/JNEUROSCI.6709-10.2011
Oertel-Knöchel V, Reuter J, Reinke B, Marbach K, Feddern R, Alves G, Prvulovic D, Linden DEJ, Knöchel C (2015) Association between age of disease-onset, cognitive performance and cortical thickness in bipolar disorders. J Affect Disord 174:627–635
Ongur D, Ferry AT, Price JL (2003) Architectonic subdivision of the human orbital and medial prefrontal cortex. J Comp Neurol 460:425–449. https://doi.org/10.1002/cne.10609
Ongur D, Lundy M, Greenhouse I, Shinn AK, Menon V, Cohen BM, Renshaw PF (2010) Default mode network abnormalities in bipolar disorder and schizophrenia. Psychiatry Res 183:59–68
O'Reilly JX, Beckmann CF, Tomassini V, Ramnani N, Johansen-Berg H (2010) Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity. Cereb Cortex 20:953–965. https://doi.org/10.1093/cercor/bhp157
Pavuluri MN, O’Connor MM, Harral E, Sweeney JA (2007) Affective neural circuitry during facial emotion processing in pediatric bipolar disorder. Biol Psychiatry 62:158–167
Phillips JR, Hewedi DH, Eissa AM, Moustafa AA (2015) The cerebellum and psychiatric disorders. Front Public Health 3(66)
Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE (2012) Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59:2142–2154
Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL (2001) A default mode of brain function. Proc Natl Acad Sci U S A 98:676–682
Reinke B, Ven V, Matura S, Linden DE, Oertel-Knochel V (2013) Altered intrinsic functional connectivity in language-related brain regions in association with verbal memory performance in euthymic bipolar patients. Brain Sci 3:1357–1373. https://doi.org/10.3390/brainsci3031357
Rive MM, Redlich R, Schmaal L, Marquand AF, Dannlowski U, Grotegerd D, Veltman DJ, Schene AH, Ruhé HG (2016) Distinguishing medication-free subjects with unipolar disorder from subjects with bipolar disorder: state matters. Bipolar Disord 18:612–623
Rogers MA, Kasai K, Koji M, Fukuda R, Iwanami A, Nakagome K, Fukuda M, Kato N (2004) Executive and prefrontal dysfunction in unipolar depression: a review of neuropsychological and imaging evidence. Neurosci Res 50:1–11. https://doi.org/10.1016/j.neures.2004.05.003
Samudra N, Ivleva EI, Hubbard NA, Rypma B, Sweeney JA, Clementz BA, Keshavan MS, Pearlson GD, Tamminga CA (2015) Alterations in hippocampal connectivity across the psychosis dimension. Psychiatry Res 233:148–157
Sang L, Qin W, Liu Y, Han W, Zhang Y, Jiang T, Yu C (2012) Resting-state functional connectivity of the vermal and hemispheric subregions of the cerebellum with both the cerebral cortical networks and subcortical structures. Neuroimage 61:1213–1225
Schmahmann JD, Sherman JC (1998) The cerebellar cognitive affective syndrome. Brain 121:561–579
Schmahmann JD, Loeber RT, Marjani J, Hurwitz AS (1998) Topographic organization of cognitive functions in the human cerebellum: a meta-analysis of functional imaging studies. Neuroimage 7:S721
Schmahmann JD, Doyon J, McDonald D, Holmes C, Lavoie K, Hurwitz AS, Kabani N, Toga A, Evans A, Petrides M (1999) Three-dimensional MRI atlas of the human cerebellum in proportional stereotaxic space. Neuroimage 10:233–260
Sheline YI, Price JL, Yan Z, Mintun MA (2010) Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. Proc Natl Acad Sci U S A 107:11020–11025
Shen Z, Cheng Y, Yang S, Dai N, Ye J, Liu X, Lu J, Li N, Liu F, Lu Y, Sun X, Xu X (2016) Changes of grey matter volume in first-episode drug-naive adult major depressive disorder patients with different age-onset. Neuroimage Clin 12:492–498. https://doi.org/10.1016/j.nicl.2016.08.016
Shinn AK, Roh YS, Ravichandran CT, Baker JT, D Ö, Cohen BM (2017) Aberrant cerebellar connectivity in bipolar disorder with psychosis. Biol Psychiatry Cogn Neurosci Neuroimaging 2:438–448
Sierakowiak A, Monnot C, Aski SN, Uppman M, Li TQ, Damberg P, Brene S (2015) Default mode network, motor network, dorsal and ventral basal ganglia networks in the rat brain: comparison to human networks using resting state-fMRI. PLoS One 10:e0120345
Sokolov AA, Miall RC, Ivry RB (2017) The cerebellum: adaptive prediction for movement and cognition. Trends Cogn Sci 21:313–332
Stoodley CJ, Schmahmann JD (2009) Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies. Neuroimage 44:489–501
Stoodley CJ, Schmahmann JD (2010) Evidence for topographic organization in the cerebellum of motor control versus cognitive and affective processing. Cortex 46:831–844
Stoodley CJ, Valera EM, Schmahmann JD (2012) Functional topography of the cerebellum for motor and cognitive tasks: an fMRI study. Neuroimage 59:1560–1570
Strick PL, Dum RP, Fiez JA (2009) Cerebellum and nonmotor function. Annu Rev Neurosci 32:413–434. https://doi.org/10.1146/annurev.neuro.31.060407.125606
Tavano A, Borgatti R (2010) Evidence for a link among cognition, language and emotion in cerebellar malformations. Cortex 46:907–918
Urosevic S, Luciana M, Jensen JB, Youngstrom EA, Thomas KM (2016) Age associations with neural processing of reward anticipation in adolescents with bipolar disorders. Neuroimage Clin 11:476–485
Wang Y, Zhong S, Jia Y, Zhou Z, Wang B, Pan J, Huang L (2015) Interhemispheric resting state functional connectivity abnormalities in unipolar depression and bipolar depression. Bipolar Disord 17:486–495
Wang Y, et al (2017) Altered cerebellar functional connectivity in remitted bipolar disorder: a resting-state functional magnetic resonance imaging study. Aust N Z J Psychiatry :4867417745996
Wise T, Radua J, Via E, Cardoner N, Abe O, Adams TM, Amico F, Cheng Y, Cole JH, de Azevedo Marques Périco C, Dickstein DP, Farrow TFD, Frodl T, Wagner G, Gotlib IH, Gruber O, Ham BJ, Job DE, Kempton MJ, Kim MJ, Koolschijn PCMP, Malhi GS, Mataix-Cols D, McIntosh AM, Nugent AC, O'Brien JT, Pezzoli S, Phillips ML, Sachdev PS, Salvadore G, Selvaraj S, Stanfield AC, Thomas AJ, van Tol MJ, van der Wee NJA, Veltman DJ, Young AH, Fu CH, Cleare AJ, Arnone D (2017) Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis. Mol Psychiatry 22:1455–1463. https://doi.org/10.1038/mp.2016.72
Wolkenstein L, Kanske P, Bailer J, Wessa M, Hautzinger M, Joormann J (2017) Impaired cognitive control over emotional material in euthymic bipolar disorder. J Affect Disord 214:108–114. https://doi.org/10.1016/j.jad.2017.03.007
Young RC, Biggs JT, Ziegler VE, Meyer DA (1978) A rating scale for mania: reliability, validity and sensitivity. Br J Psychiatry 133:429–435
Young KD, Bodurka J, Drevets WC (2016) Differential neural correlates of autobiographical memory recall in bipolar and unipolar depression. Bipolar Disord 18:571–582
Yucel K, Nazarov A, Taylor VH, Macdonald K, Hall GB, Macqueen GM (2013) Cerebellar vermis volume in major depressive disorder. Brain Struct Funct 218:851–858. https://doi.org/10.1007/s00429-012-0433-2
Zeng LL, Shen H, Liu L, Wang L, Li B, Fang P, Zhou Z, Li Y, Hu D (2012) Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. Brain 135:1498–1507
Zhao L, Wang Y, Jia Y, Zhong S, Sun Y, Zhou Z, Zhang Z, Huang L (2016) Cerebellar microstructural abnormalities in bipolar depression and unipolar depression: a diffusion kurtosis and perfusion imaging study. J Affect Disord 195:21–31
Zhu X, Wang X, Xiao J, Liao J, Zhong M, Wang W, Yao S (2012) Evidence of a dissociation pattern in resting-state default mode network connectivity in first-episode, treatment-naive major depression patients. Biol Psychiatry 71:611–617. https://doi.org/10.1016/j.biopsych.2011.10.035
Acknowledgments
We appreciate the content and English editing assistance of Drs. Rhoda E. and Edmund F. Perozzi.
Funding
This study was supported by the National Natural Science Foundation of China (81671670, 81501456, 81471650, 81371535, 81428013, 81571641, 81628008, and 81471654); Planned Science and Technology Project of Guangdong Province, China (2014B020212022); and Planned Science and Technology Project of Guangzhou, China (1563000653, 155700029, 20160402007, 201604020184). This study was also supported by the National Key Research and Development Program of China (2016YFC0100105). The funding organizations played no further role in the study design, data collection, analysis and interpretation, or the paper writing.
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Highlights
• The BD patients showed weaker cerebro-cerebellar positive connectivity between the right dorsolateral prefrontal cortex (DLPFC) and the left cerebellar lobule Crus Ι compared to the HC and MDD groups;
• Cerebro-cerebellar negative connectivity between the right subgenual anterior cingulate cortex (sACC) and the cerebellar vermis IV_V was weaker in both the BD and MDD patients;
• Both the MDD and BD patients showed a weaker positive connectivity between the left precuneus and the left cerebellar lobule IX; in addition, the MDD patients showed a weaker RSFC in that coupling than the BD patients.
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He, Y., Wang, Y., Chang, TT. et al. Abnormal intrinsic cerebro-cerebellar functional connectivity in un-medicated patients with bipolar disorder and major depressive disorder. Psychopharmacology 235, 3187–3200 (2018). https://doi.org/10.1007/s00213-018-5021-6
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DOI: https://doi.org/10.1007/s00213-018-5021-6