- Case report
- Open Access
Activation of cerebellar lobules VI-VII during motor imagery but not during motor activation in unilateral cerebellar hypoplasia
© Habas and Manto; licensee BioMed Central Ltd. 2014
- Received: 6 January 2014
- Accepted: 17 June 2014
- Published: 6 August 2014
We report the case of a 25 year-old patient who underwent morphological and functional brain magnetic resonance imaging (fMRI) to investigate a left neocerebellar hypoplasia discovered incidentally. We compared brain activation during overt and covert finger movements, and haptic discrimination. The contralateral cerebellar hemisphere compensated for mental imagery of hand movements and haptic discrimination, but not for motor execution. Moreover, the resting-state functional connectivity did not show compensatory functional coherence between the right cerebellum and cerebral areas connected with the hypoplastic cerebellum. Our case illustrates for the first time that cerebellar compensatory recruitment is an active, specific process related to task complexity and under the control of executive networks.
- Motor imagery
- Motor execution
- Default-mode network
The mechanisms of neurological compensation in cases of unilateral cerebellar hypoplasia are completely unknown. Functional neuroimaging allows the characterization of cerebellar and cerebral functional reorganization (neuroplasticity).
Unilateral cerebellar hypoplasia is a rare cerebellar malformation affecting part of the cerebellum, sparing the other regions of the brain and is consecutive to a prenatal injury (Alkan et al. ). Patients may exhibit a slight to moderate cerebellar syndrome unilaterally to the cerebellar disruption, or may be totally asymptomatic. In this latter case, the discovery of the hypoplasia is usually fortuitous.
The mechanisms of neurological compensation in case of unilateral cerebellar hypoplasia are completely unknown. Experimental studies on the mechanisms of recovery of acute cerebellar injuries indicate that preserved cerebellar regions and extra-cerebellar structures such as the somatosensory cortex play a determinant role in the reorganization of central nervous system pathways (Mackel ). Motor imagery (mental simulation of an action without execution) is currently proposed as a way to preserve or improve motor function (Saimpont et al. ). The rationale is that mental imagery recruits the same neural circuits which are activated during motor action. Whether this is true or not in patients with a prenatal cerebellar lesion is currently undetermined.
We first acquired morphological data to well-characterize a case of unilateral cerebellar hypoplasia discovered incidentally during a CT-scan for orbit trauma. We compared subsequently the patterns of brain activation during (sensori-) motor execution and motor imagery, as well as brain resting-state in this asymptomatic patient.
This 25 year-old patient had no history of neurological, psychiatric or cardiovascular disease. The family history was unremarkable. The details of the MRI investigation are given below. The patient gave his informed consent.
Cerebral and cerebellar activations were studied during the following tasks: 1. unilateral, self-paced finger-to-thumb opposition with the right and left hand (motor task), 2. unilateral haptic representation of small chess pieces with the right and left hand (sensorimotor task), 3. unilateral covert finger-to-thumb opposition with the right and left hand (mental imagery task), and 4. at rest (brain resting-state). Each active tasks consisted of 6 alternating 30-seconds phases of rest and stimulation. For brain resting-state, the patient was instructed to keep their eyes closed and try to remain still. The scan lasted 9 min and 10 seconds.
The MRI study was performed with a whole-body 3 T clinical imager (General Elelectric Healthcare, Milwaukee, USA) using an eight-channel parallel head coil. The following MRI sequences were applied: sagittal T2-FLAIR CUBE, arterial time-of-flight sequence 3D-TOF, axial anatomical 3-D inversion recovery fast spoiled GRASS (IR-FSPGR), diffusion-weighted single-shot spin-echo echo-planar sequence (b = 0 and 1000s/mm2) with 50 non-colinear directions for diffusion tensor imaging (DTI), and, for functional imaging, axial T2 *-weighted gradient echo-planar images (EPI) (TE/TR/flip angle/FOV/matrix/Thickness: 30 ms/3000 ms/90°/24x24cm/64x64/4 mm) covering the whole brain (32 axial slices). The same functional sequence was used for the resting-state: 213 volumes were acquired with 4 dummy volumes acquired at the start of the session to allow for steady-state magnetization.
DTI images were processed with Volume One software which performed a seed-based deterministic streamline fibre-tracking. Seeds were located in: the dorso-lateral upper medulla oblongata, the right dentate nucleus, the basis pontis, the red nuclei and the dorsolateral lower mesencephalon.
Functional analyses were carried out using the tools of FMRIB software library (FSL, version 5; Oxford Centre for Functional MRI of the Brain, UK). Data were successively format-converted, slice timing corrected, motion-corrected (MCFLIRT), co-registered with the corresponding anatomical images and with the template brain of the Montreal Neurological Institute (MNI), spatially smoothed with a 5-mm full-width at half-maximum of Gaussian kernel, intensity-normalized and temporal filtered with a high-pass filter. For the box-car time series data during the experimental tasks were determined using the general linear model approach. The temporal derivative of the expected hemodynamic response was also added to compensate for response-delay variations. Functional images were generated by subtraction analysis, comparing the rest and the active condition on a cluster basis (Z = 3, P = 0.05 corrected for multiple comparison. For resting-state, Independent Component Analysis (MELODIC option) (posterior probability threshold: p = 0.5) was applied to preprocessed data in order to compute correlation maps. Only intraparenchymal clusters whose domain frequency was comprised between 0.01 and 0.1 Hz, were taken into account.
Brain areas showing significant activation during the tasks
Right cerebellar lobules
x, y, z (mm)*
RH motor task
LH motor task
RH sensorimotor task
Crus I (/VIII)
LH sensorimotor task
Crus I (/VIIb)
RH motor mental imagery task
LH motor mental imagery
In this unique case, we demonstrate that the contralateral cerebellar hemisphere compensates for mental imagery of hand movements and haptic discrimination, but not for motor execution. Our case illustrates that the internal representations for motor commands and for mental imagery do not share the same cerebellar circuits in the case of unilateral cerebellar hypoplasia. Our results suggest that an extra-cerebellar zone compensates for hand movements. One possibility would be that the lenticular nucleus could subserve this compensatory mechanism as this structure is involved in early and late motor sequence learning (Lehéricy et al., ). However, we did not detect any activation in the striatum although a subthreshold activation cannot be completely ruled out. Alternatively, striatum might have been recruited early in childhood to induce compensatory motor mechanisms in the cereberal cortex for example. However, for complex sensorimotor integration, the contralateral cerebellar hemisphere is still recruited.Therefore, it can be inferred that compensation by the intact cerebellar hemisphere is related to the complexity of the task and, consequently, to the involvement of cognitive systems (attention focusing, working memory, information filtering, decision making, sensory expectations guiding movements). Furthermore, it turns out that this compensation was not reflected in the resting-state functional connectivity mapping since, for instance, no functional coherence was found between the right cerebellum and motor cortical areas, and right executive network. In the DMN, activation of the right fronto-parietal regions interconnected with the left hypoplastic cerebellum was descreased in comparison with the left fronto-parietal ones in relation with the normal cerebellum demonstrating an absence or, at least, a suboptimal compensation by the right cerebellum. One hypothesis might be that cerebellar compensatory action is actively and temporally commanded and controlled by executive networks according to the specificity and the complexity of the task. Passive, spontaneous “mind-wandering”, at rest, should not then require an increased amount of cognitive ressources and, thus, active cortico-cerebellar compensation.
Lastly, given the laterality of cerebellar functions, it can be speculated that the cerebellar hypoplasia could have determined different subclinical or clinical impairments in terms of visuospatial alterations for instance. Alternatively, a right cerebellar hypoplasia could have caused linguistic troubles.
The attempts to stimulate brain circuits with techniques based on mental imagery should take into account the possible dissociation in the recruitment of networks controlling motor execution on the one hand and motor imagery on the other hand, as reported here. Our patient was clinically asymptomatic, confirming a viable compensatory process. The dissociation observed here could represent a signature of a full recovery process facing a prenatal injury. This should be confirmed in future studies.
The patient has given his consent for the case report to be published.
- Alkan O, Kizilkilic O, Yildirim T: Cerebellar malformations. In Handbook of Cerebellum and Cerebellar Disorders. Edited by: Manto M, Gruol D, Schmahmann JD, Koibuchi N, Rossi F. New York, USA: Springer; 2013:1819–1837.View ArticleGoogle Scholar
- Mackel R: The role of the monkey sensory cortex in the recovery from cerebellar injury. Exp Brain Res 1987,66(3):638–652. 10.1007/BF00270696PubMedView ArticleGoogle Scholar
- Saimpont A, Malouin F, Tousignant B, Jackson PL: Motor imagery and aging. J Mot Behav 2013,45(1):21–28. 10.1080/00222895.2012.740098PubMedView ArticleGoogle Scholar
- Habas C, Kamdar N, Nguyen D, Keller K, Beckmann CF, Menon V, Greicius MD: Distinct cerebellar contributions to intrinsic connectivity networks. J Neurosci 2009,29(26):8586–8594. 10.1523/JNEUROSCI.1868-09.2009PubMed CentralPubMedView ArticleGoogle Scholar
- Lehéricy S, Benali H, Van de Moortele PF, Pélégrini-Issac M, Waetcher T, Ugurbil K, Doyon J: Distinct basal ganglia territories are engaged in early and advanced motor sequence learning. Proc Natl Acad Sci USA 2005,102(35):12566–12571. 10.1073/pnas.0502762102PubMed CentralPubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.