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Participation of the caudal cerebellar lobule IX to the dorsal attentional network

Cerebellum & Ataxias20185:9

https://doi.org/10.1186/s40673-018-0088-8

  • Received: 16 April 2018
  • Accepted: 6 June 2018
  • Published:

The Correction to this article has been published in Cerebellum & Ataxias 2018 5:10

Abstract

Background

We seeked for specific cerebellar contribution within the dorsal attentional network (DAN), using Independent Component Analysis (ICA).

Methods

ICA-based analysis was performed on brain resting-state functional images of 19 volunteers.

Results

We confirmed that DAN includes bilaterally: lobules VI-VII (crus I) and VIIB-VIIIA, as previously reported by Region-Of-Interest (ROI)-based functional connectivity studies. We also found that lobule IX (tonsillae), and as well as the superior and, likely, inferior colliculi. Also belong to DAN. The part of lobule IX in relation to DAN is located more caudally and laterally, and less extensive than the more rostral part of this lobule belonging to the default-mode network (DMN).

Conclusion

Rostral and caudal tonsillae partake in the DMN and DAN, respectively. The latter could subserve either eye movement control in relation to the oculomotor parieto-frontal network, partially congruent with the DAN, or more cognitive functions due to functional reallocation within the DAN.

Keywords

  • Cerebellum
  • Dendate nucleus
  • Tonsilla
  • Dorsal attentional network
  • Ocular saccade
  • Resting-state
  • fMRI

Background

The cerebellum belongs to several major resting-state, intrinsically connected networks (default-mode, executive, salience, dorsal attentional and sensorimotor networks) (Fox et al. [1]; Habas et al. [2]; Buckner et al. [3]; Seng et al. [4]). Recently, using ROI-based functional connectivity at rest, and an attentional task-based fMRI paradigm, Brissenden et al. [5] demonstrated that cerebellar lobules VIIb and VIIIa also take part in the DAN, in line with Buckner et al. [3]. DAN is involved in environmental salient signal filtering, cue detection in relation to performance feed-back, subsequent (top-down) central attentional reallocation to salient or task-relevant stimuli, and working memory. This network largely overlaps with the circuit controlling (saccadic) eye movements (Corbetta et al. [6]) at the cortical level. However, at the cerebellar level, shifting attention to a peripheral target recruited posterior hemispheres of the lobule VI, whereas the saccades engaged the medial lobule VI. Shifting attention and orienting eyes to a salient peripheral stimulus are tightly and functionally linked. It could be assumed that the DAN phylogenetically derived from the circuit in charge of ocular saccades/smooth pursuit of a moving visual target, and became preferentially involved in higher cognition-monitored attentional processes without overt eye movement. Therefore, during the brain resting state, DAN could reflect both intermingled attentional and oculomotor circuits. Unexpectedly, Independent Component Analysis (ICA)-based functional connectivity did not report cerebellar contribution to DAN, to our knowledge.

The goal of the present study was first to identify cerebellar nodes of DAN, using ICA at rest, and consequently to try to replicate previous data obtained with ROI-based functional connectivity studies. Second, we wondered whether such cerebellar components would belong to the oculomotor or to the cognitive cerebellum, or both.

Methods

Subjects

Nineteen right-handed subjects (10 females; 9 males; mean age: 26.6; SE: 4.3) were scanned, while they remained still, motionless and kept their eyes closed. All of them provided their written informed consent, and had no history of cardiovascular nor neurologic disease.

Acquisition sequences

Resting-state fMRI was performed on a whole-body 3 T scanner (Siemens, Skyra, Erlangen, Germany) with a sixty-four -channel head coil. Sixty contiguous axial multi-band SMS) T2*-weighted gradient echo-planar images (echo time 30 ms, repetition time 1000 ms, flip angle 90°, spatial resolution 2.5 × 2.5 × 2.5 mm, acceleration factor 2), were acquired to encompass the whole brain. Three hundred volumes were acquired with four “dummy” volumes recorded at the start of the one-run session to allow for steady-state magnetization.

Post-processing

Group-level analysis (N = 19) was performed, using probabilistic, temporal concatenation-based Independent Component Analysis (ICA) implemented in the MELODIC software version 5.0.10, part of FSL (http://www.fmrib.ox.ac.uk/fsl).

Spatial ICA is a model-free, data-driven method which decomposes fMRI data into a set of component representing specific neural networks and noise-related patterns. During the brain resting-state, each component, or spatial map, includes brain areas whose spontaneous low-frequency BOLD fluctuations (0.01–0.1 Hz) are temporally correlated, and all the components are statistically independent (Beckmann et al. [7]).

Images were first preprocessed (head motion corrected applying rigid-body transformation (MCFLIRT), spatially smoothed with a 5-mm Full Width at Half Maximun (FWHM) kernel, default high pass temporal filtered, coregistered using a template brain of Montreal Neurological institute (MNI)). Head motion did not exceed 0.5 mm in x, y and z directions for all subjects. Second, these preprocessed data were « withened and projected into a 30-dimensional subspace using Principal Component Analysis (PCA)». Third, ICA analysis with a usual posterior probability threshold equal to 0.05, was carried out. Cluster localization was determined using probabilistic, cerebellum atlas for affine alignment after skull stripping (FLIRT) (http://www.diedrichsenlab.org/imaging/propatlas.html) and brain atlas provided by FSLview interface. We double-checked cluster location within the cerebellum resorting to Schmahmann et al.’ atlas [8]. Components were visually inspected and DAN was identified based on its well-known fronto-parieto-temporal anatomy clearly distinct from the other intrinsically connected networks.

Results

Functional data

The seventh ICA component corresponds to the dorsal attentional network including (Figs. 1a-d and 2): cerebellum (lobules VI/crus I with a right predominance, lobules VIIb with a right predominance, VIIIA/b, extending to the adjoining lateral and caudal IX, the so-called tonsillae, with a left predominance) (Table 1), superior colliculi, anterior insula with an extension to the frontal opercule, temporo-occipital cortex (likely MT+), the intraparietal sulcus with extensions to the adjoining superior and inferior parietal lobules, mid-cingulate cortex, and frontal eye field with a more rostral dorsolateral prefrontal cortex. We also considered the DMN (Component 1; Fig. 1e) which encompassses the rostral lobule IX bilaterally, without overlapping with the tonsillar part of the DAN.
Fig. 1
Fig. 1

Multisubject spatial map (N = 19) of two components computed by ICA analysis and showing the dorsal attentional (a1-a3, b1-b4, c) and the default-mode networks (d-e). a axial slices passing through the encephalon. b and e. Axial and contiguous slices passing through the cerebellum. c and d. coronal slice passing through the cerebellum. CC, (para-) cingulate cortex; DLPFC, dorsolateral prefrontal cortex including caudally the frontal eye field; DMPFC, dorsomedian prefrontal cortex; INS, insula; IPS/PC, intraparietal sulcus/parietal cortex; MT+, medial temporo-occipital cortex; RSC/PC, retrosplenial cortex /precuneus; SC, superior colliculi. R, right. c, caudal; r, rostral. Latine numbers designate the cerebellar lobule. The bar from blue (negative) to yellow (positive) represents the z-value (percentage change of BOLD signal)

Fig. 2
Fig. 2

Axial slice passing through the cerebellum showing bilateral clusters located in lobules VI/VII (crus I)

Table 1

Cluster localization

 

right side

left side

(x, y, z)a

(x, y , z)a

Cerebellum

Lobules VI/VII (crus I)

37.81;-40.48;-30.03

− 35.79;-45.59;-30.03

Lobule VIIb

32.70;-43.54;-49.53

− 30.68;-52.74;-49.53

Lobule VIIIa/b

17.36; − 46.61;-57.64

− 18.41;-50.70;-57 .64

Lobule IX

10.20;-52.74;-52.53

− 10.23;-51.72;-52.53

aMNI coordinates

The other well-delineated, intrinsically connected circuits comprised: visual (component 2), auditory (component 4), right executive (component 5), prefrontal (component 8), left executive (component 9), cerebellar (component 16), and sensorimotor (component 18) networks.

Discussion

We first confirmed, using ICA, that lobules VIIb-VIIIA and ventral VI-crus I are parts of the DAN, in agreement with Buckner et al. [3] and Brissenden et al. [5]. We found additionnally that the lateral and caudal lobule IX, adjacent to lobule VIII, (also called tonsillae or ventral paraflocculus), and the superior colliculi, also belong to DAN, and that, consequently, caudal part of tonsilla must be differentiated from the rostral and medial lobule IX specifically in relation with the DMN.

First, lobule IX receives few afferents from the medial extrastriate occipital cortex via lateral pontine and reticular nuclei, in monkey (Glickstein et al. [9]) and gives off efferents to interposed, dentate and vestibular nuclei (Nagao et al. [10]). Moreover, this lobule is interconnected with the superior colliculi in the rat (Gayer and Faull [11]). Ablation of the ventral paraflocculus, in monkey, is accompanied by alteration of the vestibuloocular reflex and, mainly, of smooth pursuit eye movements (Rambold et al. [12]). Second, fMRI has detected, in human, tonsillar activation during horizontal optokinetic reflexive movement (Dietesrich et al. [13]), visually guided horizontal saccades (Stephan et al. [14]), error processing needed to maintain saccadic accuracy (Ettinger et al. [15]; Schraa-Tam et al. [16]) and spatial navigation task ascribed to the optic flow processing (Igloi K et al. [17]). This last hypothesis is in line with previous studies showing that the ventral paraflocculus received informations about displacement of the visual scene via pontine and pretectal nuclei (Kawano et al. [18]). Third, from a human clinical standpoint, lesions of tonsillae yield to head-shaking nystagmus (Huh and Kim [19]), nystagmus, and smooth pursuit and gaze-holding impairments (Lee et al. [20]). Hypometabolism was observed in tonsillae (and in flocculus) during downbeat nystagmus (Schlindwein et al. [21]) and likely in relation to desinhibition of the vestibular system. Tonsillae are thus implicated in monitoring and in feed-back-based adaptation of several types of eye movements. Fourth, Seng et al. [4] found out functional coherence between the vermal lobule IX (uvula) and the vision network. Consequently, the human lobule IX, or, at least, one subregion of it, conserves an important role in eye movements, so that it would be amazing that no functional coherence between tonsillae and oculomotor brain areas may exist. In this vein, the caudal dentate nucleus projects to the frontal eye field and to the posterior parietal cortex involved, for instance, in visual recalibration (area 7b in monkeys; Clower et al. [22]). Fifth, in our study, tonsillar clusters were located more caudally and laterally than the more rostral and medial tonsillar clusters associated with the DMN. Consequently, lobule IX must be specifically in functional coherence with the precuneus, part of the DAN and the network controlling saccade and smooth pursuit and likely with superior colliculi. In rat, interconnections between superior colliculi and ventral paraflocculus, through reticular/pontine nuclei have been traced (Gayer and Fauli [23]).

Lobule IX was shown to be a node of the DMN, as well as of the right executive network (Habas et al. [2]), and to be in functional coherence with caudate nuclei, hippocampus, amygdala (Seng et al. 2012 [4]), anterior cingulate cortex and the precuneus (Buckner et al. [3]), as well as with medial prefrontal cortex (Krienen and Buckner [24]; Bernard et al. [25]). It is noteworthy that lobule IX is predominantly functionally interconnected with the main brain areas belonging to the DMN. However, electrostimulation of the caudal precuneus can induce saccades in monkey (Thier and Andersen [26]). In cat, lobule IX was shown to receive afferents from mamillary nuclei and cingulate cortex and to give off Purkinje axons to the parvicellular dentate nucleus (Aas and Brodal [27]). This mamillary inputs could modulate tonsillar computation with motivational or spatial memory-based informations. In monkey, the same lobule is connected with middle prefrontal cortex (BA 46) (Kelly and Strick [28]) subserving, for instance, working memory. In our article [2], we also reviewed several sudies pointed out tonsillar activation during non ocular sensory, motor, emotional and higher cognitive tasks (thirst satiation, time perception, working memory, past and future event elaboration). Lobule IX is activated when participants observed negative emotion such as anger or disgust (Baumann and Mattingley [29]; Schraa-Tam et al. [30]) Importantly, Imamizu et al. [31] observed persistent tonsillar recruitment after tool manipulation learning, likely reflecting acquired internal model although the sensorimotor cerebellum corresponds to lobules V-VI and VIII. Therefore, lobule IX could participate in processing internal models for vision requiring compensations of eye dynamics during smooth pursuit, for example (Krauzlis, [32]), for non-visual predictive control (Kettner et al. [33]), and for more general (cognitive) purposes. Zwicker et al. [34] found an underactivation of the left lobule IX while children suffering from developmental coordination disorder, performed a trail-tracing task. In this case, lobule IX could be implicated in attention and/or in on-line eye-hand coordination. Furthermore, cortical atrophy of this lobule has been noted in autism spectrum disorder and in attention deficit hyperactivity disorder (Stoodley [35]). More recently, Guell et al. [36] found also tonsillar implication in langage and social processing. In summary, lobule IX appears to be; 1. preferentially interconnected with associative cognitive and limbic areas, 2. activated during executive and emotional processing, and 3. to be partly a site of internal model retention. Therefore, lobule IX could be regarded as a multimodal hub which interconnects three, sometimes anticorrelated (Fox et al. [1]), networks: DAN, executive network and DMN.

However, we emphasize that if we agree that tonsillae should « fall within tertiary nonmotor representation map» as suggested by Buckner et al. [3] and Guell et al. [36], it must also implement an oculomotor representation according to clinical data and to some aforementioned fMRI studies (Voogd et al. [37]). We postulated that clusters within lobule IX, we detected, could either reflect an oculomotor network embedded in DAN, or functional reallocation of tonsillae to attentional processing, or also tonsillar contribution to both circuits. Putatively and from a phylogenetical standpoint, the lobule IX may have been involved first in the control and the adaptation of eye movement such as saccades and smooth pursuit. In a second time with the telencephalization process, the DAN might have partially differenciated from the cerebello-fronto-(temporo)-parietal monitoring eye movements, so that lobule IX, in conjunction with the adjoining lobules VII-VIII, might have also been implicated in top-down attentional processes. This anatomical and functional process should have also concerned the superior colliculi and the precuneus connected with tonsillae. Left lobule IX might have partly been ascribed to visuo-spatial processing in the right executive control network. Lastly, the major part of the lobule IX has been incorporated into the DMN.

Further studies are thus required to test these hypotheses, especially to test anatamo-functional parcellation of lobule IX, using ROIs-based functional connectivity and tractography seeding different sub-regions of the lobule IX. Moreover, we used FLIRT (FMRIB’s Linear Image Registration Tool) option to coregister the functional mean image with the brain MNI template. However, non-linear methods of coregistration, such as FSL’s FNIRT and especially SUIT (Spatially Unbiased Infratentorial Template), for the cerebellum, give better and more accurate alignement, and should be preferred to linear methods. The main problem is the spatial spead of cerebellar fissures exposing to an important risk of lobular mislocation. However, the large cerebellar amygdalae (lobule IX), and especially their medial part, can be well-delineated, and the risk of mislocation may predominantly concern their lateral part close to the secundary fissure, i.e. the junction between lobules VIIIB and IX. In the current study, most of the voxels within caudal tonsillae were situated far from the secundary fissures, and might not have mislocated.

Finally, if the lobules VII, VIII and IX are the main cerebellar zones included in DAN, as noted earlier, lobules VI/crus I also but to a lesser extent contribute to DAN. These latter lobules are in functional coherence with the prefrontal cortex, and partake in executive networks. However, if these lobules can reflect functional association between DAN and prefronto-cortical nodes of executive control network, they can also belong to oculomotor control networks (Voogd et al. [37]).

Conclusion

Caudal and rostral regions of the lobule IX (tonsillae) contribute to the anticorrelated DAN and DMN, respectively, whereas the left tonsilla takes part in the right executive control network. However, caudal lobule IX could also reflect an oculomotor circuit embedded in the DAN and specifically devoted to oculomotor error tracking and correction.

Notes

Abbreviations

DAN: 

Dorsal attentional network

DMN: 

Default-mode network

Declarations

Acknowledgements

Dr. Angelo Arleo, directeur de recherche CNRS, Institut de la Vision, Paris, France.

Availability of data and materials

Yes.

Authors’ contributions

CH performed data post-processing, and the manuscript writing. SR and EY recruited volunteers and performed MRI scans. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Ethical approval was obtained by the Ethical Committee of Saint Antoine Hospital (Paris, France).

Consent for publication

All the volunteers gave their informed consent for the protocol and for publication. The manuscript contains no individual person’s data.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

, corrected publication August 2018. Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Institut de la Vision (CHNO des 15-20), CNRS, INSERM, Université Pierre et Marie Curie, 28, rue de Charenton, 75012 Paris, France
(2)
Service de NeuroImagerie, CHNO des 15-20, Paris, France

References

  1. Fox MD, Snyder AZ, Vincent JL, Corbetta M, Essen V. Raichle M. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. PNAS. 2005;102(27):9673–8.View ArticlePubMedGoogle Scholar
  2. Habas C, Kamdar N, Nguyen D, Prater K, Beckmann CF, Menon V, Greicius MD. Distinct cerebellar contributions to intrinsic connectivity networks. J Neurosci. 2009;29(26):8586–94.View ArticlePubMedPubMed CentralGoogle Scholar
  3. Buckner RL, Krienen FM, Castellanos A, Diaz JC, Yeao TT. The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106(5):2322–45.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Seng L, Qin W, Liu Y, Han W, Zhang Y, Jiang T. Yu C. Resting-state functional of the vermal and hemispheric subregions of the cerebellum with both cerebral cortical networks and subcortical structures. NeuroImage. 2012;61(4):1213–25.View ArticleGoogle Scholar
  5. Brissenden JA, Levin EJ, Osher DE, Halko MA, Somers DC. Functional evidence for a cerebellar node of the dorsal attention network. J Neurosci. 2016;36(22):6083–93.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Corbetta M, Akbudak E, Conturo TE, Snyder AZ, Ollinger JM, Drury HA, Linenweber MR, Petersen SE, Raichle ME, Van Essen DC, Shulman GL. A common network of functional areas for attentional and eye movements. Neuron. 1998;21(4):761–73.View ArticlePubMedGoogle Scholar
  7. Beckmann CF, DeLuca M, Devlin JT, Smith SM. Investigations into resting-state connectivity using independent component analysis. Philo Trans R Soc Lond B Biol Sci. 2005;360(1457):1001–13.View ArticleGoogle Scholar
  8. Schmahmann JD, Doyon J, Toga AW, Petrides M, Evans AC. MRI atlas of the human Cerebellum. San Diego, London, Boston, New York: Academic Press; 2000.Google Scholar
  9. Glickstein M, Gerrits N, kralj-Hans I, Stein J, Vooggd J. Visual pontocerebellar projections in the macaque. J Comp Neurol. 1994;349(1):51–72.View ArticlePubMedGoogle Scholar
  10. Nagao S, Kitamura T, Nakamura N, Hiramatsu T, Yamada J. Location of efferent terminals of the primate flocculus and ventral paraflocculus revealed by anterograde axonal transport methods. Neurosci Res. 1997;27(3):257–69.View ArticlePubMedGoogle Scholar
  11. Gayer NS, Faull RL. Connections of the paraflocculus of the cerebellum with the superior colliculus in the rat brain. Brain Res. 1998;449(1–2):253–70.Google Scholar
  12. Rambold H, Churchland A, Selig Y, Jasmin L, Lisberger SG. Partial ablations of the flocculus and ventral paraflocculus in monkeys cause linked deficits in smooth pursuit eye movements and adaptative modification of the VOR. Neurophysiol. 2002;87(2):912–24.View ArticleGoogle Scholar
  13. Dieterich M, Bucher SF, Seelos KC, Brandt T. Cerebellar activation during optokinetic stimulation and saccades. Neurology. 2000;54(1):148–55.View ArticlePubMedGoogle Scholar
  14. Stephan T, Mascolo A, Yousry TA, Bense S, Brandt T, Dieterich M. Changes in cerebellar activation pattern during two successive sequences of saccades. Hum Brain Mapp. 2002;16(2):63–70.View ArticlePubMedGoogle Scholar
  15. Ettinger U, Antonova E, Crawford TJ, Mitterschiffthaler MT, Goswani S, Sharma T, Kumari V. Structural neural correlates of prosaccade and antisaccade eye movements in healthy humans. NeuroImage. 2005;24:487–94.View ArticlePubMedGoogle Scholar
  16. Schraa-Tam CKL, van Broekhoven P, van der Geest, frens MA, smits M, van der Lugt A. Cortical and cerebellar activation induced by reflexive and voluntary saccades. Exp Brain Res. 2009;192(2):175–87.View ArticlePubMedGoogle Scholar
  17. Icloi K, Doeller CF, Paradis A-L, Benchenane K, Berthoz A, Burgess N, Rondi-Reig L. Interaction between hippocampus and cerebellum crus I in sequence-based but not place-based navigation. Cereb Cort. 2015;25(11):4146–54.View ArticleGoogle Scholar
  18. Kawano K, Takemura A, Inoue Y, Kituma T, Kobayashi Y, Mustari MJ. Chapter 30 : visual inputs to cerebellar ventral paraflocculus during ocular fllowing responses. Prog Brain Res. 1996;112:415–22.View ArticlePubMedGoogle Scholar
  19. Huh YE, Kim JS. Patterns of spontaneous and head-shaking nystagmus in cerebellar infarction : imaging correlations. Brain. 2011;34(12):3662–71.View ArticleGoogle Scholar
  20. Lee S-H, Park S-H, Kim J-S, Yunusov F, Zee DS. Isolated unilateral infarction of the cerebellar tonsil : ocular motor findings. Ann Neurol. 2014;75:429–34.View ArticlePubMedGoogle Scholar
  21. Schlindwein P, Best C, Bense S, Buchholz HG, Siessmeier M, Dieterich M. Hypometabolism in cerebellar tonsil and flocculus region during downbeat nystagmus. Akt Neurol. 2005;32:P295. (Congress Abstract)View ArticleGoogle Scholar
  22. Clower DM, West RA, Lynch RA, Strick PL. The inferior parietal lobule is the target of output from the superior colliculus, hippocampus, and cerebellum. J Neurosci. 2001;21(16):6283–91.View ArticlePubMedGoogle Scholar
  23. Gayer NS, Fauli RLM. Connections of the paraflocculus of the cerebellum with the superior colliculus in the rat brain. Brain Res. 1988;449(1–2):253–70.View ArticlePubMedGoogle Scholar
  24. Krienen FM, Buckner RL. Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity. Cereb Cortex. 2009;19(10):2485–97.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Bernard JA, Seidler RD, Hassevoort KM, Benson BL, Welsh RC, Wiggins JL, Jaeggi SM, Buschkuehl M, Monk CS, Jonides J, Peltier SJ. Resting-state cortico-cerebellar functional connectivity networks : a comparison of anatomical and self-organizing map approaches. Front Neuroanat. 2012;6:1–31. 31View ArticleGoogle Scholar
  26. Thier P, Andersen RA. Electrophysiological evidence for a second medial « parietal eye field ». Abstr. Soc Neurosci. 1993;19:27.Google Scholar
  27. Aas J-E, Brodal P. Demonstration of a mamillo-ponto-cerebellar pathway. Eur J Neurosci. 1989;1(1):61–74.View ArticlePubMedGoogle Scholar
  28. Kelly RM, Strick PL. Cerebellar loops with motor cortex and prefontal cortex of a nonhuman primate. J Neurosci. 2003;23:8432–44.View ArticlePubMedGoogle Scholar
  29. Baumann O, Mattingley JB. Functional topography of primary emotion processing in the human cerebellum. NeuroImage. 2012;61(4):805–11.View ArticlePubMedGoogle Scholar
  30. Schraa-Tam CKL, Rietdijk WJR, Verbeke JMI, Dietvorst RC, van den Berg WE, Bagozzi RP, De Zeeuw CI. fMRI activities in the emotional cerebellum : a preference for negative stimuli and goal-directed behavior. Cerebellum. 2012;11(1):233–45.View ArticlePubMedGoogle Scholar
  31. Imamizu H, Miyauchi S, Tamada T, Sasaki Y, Takinos R, Pûtz B, Yoshloka T, Kawato M. Human cerebellar activity reflecting an acquired internal model of a new tool. Nature. 2000;403:192–5.View ArticlePubMedGoogle Scholar
  32. Krauzlis RJ. Population coding of movement dynamics by cerebellar Purkinje cells. Neuroreport. 2000;11:1–6.View ArticleGoogle Scholar
  33. Kettner RE, Suh M, Davis D, Leung H-C. Modeling cerebellar flocculus and paraflocculus involvement in complex predictive smooth eye pursuit in monkeys. Annals NY Acad Sci. 2002;978:455–67.View ArticleGoogle Scholar
  34. Zwickler JG, Missiuna C, Harris SR, Boyd LA. Brain activation associated with motor skill practica in children with developmental coordination disorder : an fMRI study. Int J Develop Neurosci. 2011;29(2):145–52.View ArticleGoogle Scholar
  35. Stoodley CJ. Distinct regions of the cerebellum show gray matter decreases in autim, ADHD, and developmental dyslexia. Front Syst Neurosci. 2014;8:1–17. 92View ArticleGoogle Scholar
  36. Guell X, Gabrieli JDE, Schmahmann JD. Triple representation of langage, working memory, social and emotion processing in the cerebellum : convergent evidence from task and seed-based resting state fMRI analyses in a single large cohort. NeuroImage. 2018;172:437–49.View ArticlePubMedGoogle Scholar
  37. Voogd J, Schraa-Tam CKL, van der Geest JN, de Zeeuw CI. Visuomotor cerebellum in human and nonhuman primates. Cerebellum. 2012;11:392–410.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2018

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