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Abnormal intrinsic cerebro-cerebellar functional connectivity in un-medicated patients with bipolar disorder and major depressive disorder

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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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • Baumann O, Mattingley JB (2012) Functional topography of primary emotion processing in the human cerebellum. Neuroimage 61:805–811

    Article  PubMed  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • Bush G, Luu P, Posner MI (2000) Cognitive and emotional influences in anterior cingulate cortex. Trends Cogn Sci 4:215–222

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • Diedrichsen J, Balsters JH, Flavell J, Cussans E, Ramnani N (2009) A probabilistic MR atlas of the human cerebellum. Neuroimage 46:39–46

    Article  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • Fox MD, Raichle ME (2007) Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8:700–711

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Friston KJ, Williams S, Howard R, Frackowiak RS, Turner R (1996) Movement-related effects in fMRI time-series. Magn Reson Med 35:346–355

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hamilton M (1960) A rating scale for depression. J Neurol Neurosurg Psychiatry 23:56–62

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • Krienen FM, Buckner RL (2009) Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity. Cereb Cortex 19:2485–2497

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • Schmahmann JD, Sherman JC (1998) The cerebellar cognitive affective syndrome. Brain 121:561–579

    Article  PubMed  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sokolov AA, Miall RC, Ivry RB (2017) The cerebellum: adaptive prediction for movement and cognition. Trends Cogn Sci 21:313–332

    Article  PubMed  PubMed Central  Google Scholar 

  • Stoodley CJ, Schmahmann JD (2009) Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies. Neuroimage 44:489–501

    Article  PubMed  Google Scholar 

  • Stoodley CJ, Schmahmann JD (2010) Evidence for topographic organization in the cerebellum of motor control versus cognitive and affective processing. Cortex 46:831–844

    Article  PubMed  PubMed Central  Google Scholar 

  • Stoodley CJ, Valera EM, Schmahmann JD (2012) Functional topography of the cerebellum for motor and cognitive tasks: an fMRI study. Neuroimage 59:1560–1570

    Article  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • Tavano A, Borgatti R (2010) Evidence for a link among cognition, language and emotion in cerebellar malformations. Cortex 46:907–918

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • Young RC, Biggs JT, Ziegler VE, Meyer DA (1978) A rating scale for mania: reliability, validity and sensitivity. Br J Psychiatry 133:429–435

    Article  CAS  PubMed  Google Scholar 

  • Young KD, Bodurka J, Drevets WC (2016) Differential neural correlates of autobiographical memory recall in bipolar and unipolar depression. Bipolar Disord 18:571–582

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

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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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Corresponding authors

Correspondence to Ying Wang, Guolin Ma or Ruiwang Huang.

Ethics declarations

This study was approved by the Ethics Committee of First Affiliated Hospital of Jinan University, Guangzhou, China.

Conflict of interest

The authors declare that they have no conflicts of interest.

Additional information

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

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