Striatal–cerebellar networks mediate consolidation in a motor sequence learning task: An fMRI study using dynamic causal modelling

Tzvi, Elinor; Stoldt, Anne; Witt, Karsten; Krämer, Ulrike M.

doi:10.1016/j.neuroimage.2015.07.077

Cited by 44 publications

(51 citation statements)

References 60 publications

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“…Our results demonstrated that learning negatively modulated connections from M1 to cerebellum (Tzvi et al, 2014) and from premotor cortex (PMC) to cerebellum (Tzvi et al, 2015) suggesting that interactions between motor cortical areas and cerebellum are critical for implicit motor sequence learning. The aim of the present study was to use an effective connectivity approach to investigate how cerebellar degeneration affects interactions within the cortico-striato-cerebellar network and how these changes relate to the commonly reported motor sequence learning deficits.…”

Section: Introductionmentioning

confidence: 78%

“…We found a significant cluster in left cerebellar lobule VI (MNI coordinates: − 28, − 62, − 22; t-value: 4.9) and no significant clusters in right cerebellum. The lack of significant activation in the right cerebellum, probably driven by increased degeneration, prevented us from directly following the analysis procedures of our previous work (Tzvi et al, 2014, Tzvi et al, 2015). It is likely then that cerebellar degeneration has also affected the left cerebellar hemisphere (see Fig.…”

Section: Resultsmentioning

confidence: 99%

“…For this analysis, task inputs were defined to be to left cerebellum motivated by findings from our previous work (Tzvi et al, 2014, Tzvi et al, 2015). In the first step, we examined models with no modulatory influences on connections (B = 0).…”

Section: Resultsmentioning

confidence: 99%

“…Following previous work (Tzvi et al, 2014, Tzvi et al, 2015), we specified the following volumes of interest (VOIs) on both hemispheres: primary motor cortex (M1), premotor cortex (PMC), supplementary motor area (SMA), putamen and cerebellum. Time series were extracted from significant voxels ( p < 0.05, uncorrected) in the task vs. baseline contrast (both SEQ and RND conditions) in order to account for both learning and non-learning related changes in the BOLD signal.…”

Section: Methodsmentioning

confidence: 99%

“…The purpose of this preliminary analysis was to determine whether degeneration of the cerebellum affects intrinsic connections within the motor learning network. Similarly to our previous work (Tzvi et al, 2014, Tzvi et al, 2015), we assumed that during a bi-manual motor task, connectivity patterns are symmetric for both hemispheres and therefore examined the connections between hemispheres by systematically reducing them in these models (Grefkes et al, 2008a). After inverting and estimating the models, we used random-effects (RFX) BMS using the data of both groups to find the optimal model for intrinsic connections.…”

Section: Methodsmentioning

confidence: 99%

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Cerebellar degeneration affects cortico-cortical connectivity in motor learning networks

Tzvi

Zimmermann

Bey

et al. 2017

NeuroImage: Clinical

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The cerebellum plays an important role in motor learning as part of a cortico-striato-cerebellar network. Patients with cerebellar degeneration typically show impairments in different aspects of motor learning, including implicit motor sequence learning. How cerebellar dysfunction affects interactions in this cortico-striato-cerebellar network is poorly understood. The present study investigated the effect of cerebellar degeneration on activity in causal interactions between cortical and subcortical regions involved in motor learning. We found that cerebellar patients showed learning-related increase in activity in two regions known to be involved in learning and memory, namely parahippocampal cortex and cerebellar Crus I. The cerebellar activity increase was observed in non-learners of the patient group whereas learners showed an activity decrease. Dynamic causal modeling analysis revealed that modulation of M1 to cerebellum and putamen to cerebellum connections were significantly more negative for sequence compared to random blocks in controls, replicating our previous results, and did not differ in patients. In addition, a separate analysis revealed a similar effect in connections from SMA and PMC to M1 bilaterally. Again, neural network changes were associated with learning performance in patients. Specifically, learners showed a negative modulation from right SMA to right M1 that was similar to controls, whereas this effect was close to zero in non-learners. These results highlight the role of cerebellum in motor learning and demonstrate the functional role cerebellum plays as part of the cortico-striato-cerebellar network.

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Section: Introductionmentioning

confidence: 78%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Cerebellar degeneration affects cortico-cortical connectivity in motor learning networks

Tzvi

Zimmermann

Bey

et al. 2017

NeuroImage: Clinical

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Dissociable plasticity of visual-motor system in functional specialization and flexibility in expert table tennis players

et al. 2021

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Contemporary functional neuroanatomy and pathophysiology of dystonia

Brüggemann

2021

J Neural Transm

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Dystonia is a disabling movement disorder characterized by abnormal postures or patterned and repetitive movements due to co-contraction of muscles in proximity to muscles desired for a certain movement. Important and well-established pathophysiological concepts are the impairment of sensorimotor integration, a loss of inhibitory control on several levels of the central nervous system and changes in synaptic plasticity. These mechanisms collectively contribute to an impairment of the gating function of the basal ganglia which results in an insufficient suppression of noisy activity and an excessive activation of cortical areas. In addition to this traditional view, a plethora of animal, genetic, imaging and electrophysiological studies highlight the role of the (1) cerebellum, (2) the cerebello-thalamic connection and (3) the functional interplay between basal ganglia and the cerebellum in the pathophysiology of dystonia. Another emerging topic is the better understanding of the microarchitecture of the striatum and its implications for dystonia. The striosomes are of particular interest as they likely control the dopamine release via inhibitory striato-nigral projections. Striosomal dysfunction has been implicated in hyperkinetic movement disorders including dystonia. This review will provide a comprehensive overview about the current understanding of the functional neuroanatomy and pathophysiology of dystonia and aims to move the traditional view of a ‘basal ganglia disorder’ to a network perspective with a dynamic interplay between cortex, basal ganglia, thalamus, brainstem and cerebellum.

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Striatal–cerebellar networks mediate consolidation in a motor sequence learning task: An fMRI study using dynamic causal modelling

Cited by 44 publications

References 60 publications

Cerebellar degeneration affects cortico-cortical connectivity in motor learning networks

Cerebellar degeneration affects cortico-cortical connectivity in motor learning networks

Dissociable plasticity of visual-motor system in functional specialization and flexibility in expert table tennis players

Contemporary functional neuroanatomy and pathophysiology of dystonia

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