Long-Lasting Response Changes in Deep Cerebellar Nuclei in vivo Correlate With Low-Frequency Oscillations

The deep cerebellar nuclei (DCN) have been suggested to play a critical role in sensorimotor learning and some forms of long-term synaptic plasticity observed in vitro have been proposed as a possible substrate. However, till now it was not clear whether and how DCN neuron responses manifest long-lasting changes in vivo. Here, we have characterized DCN unit responses to tactile stimulation of the facial area in anesthetized mice and evaluated the changes induced by theta-sensory stimulation (TSS), a 4 Hz stimulation pattern that is known to induce plasticity in the cerebellar cortex in vivo. DCN units responded to tactile stimulation generating bursts and pauses, which reflected combinations of excitatory inputs most likely relayed by mossy fiber collaterals, inhibitory inputs relayed by Purkinje cells, and intrinsic rebound firing. Interestingly, initial bursts and pauses were often followed by stimulus-induced oscillations in the peri-stimulus time histograms (PSTH). TSS induced long-lasting changes in DCN unit responses. Spike-related potentiation and suppression (SR-P and SR-S), either in units initiating the response with bursts or pauses, were correlated with stimulus-induced oscillations. Fitting with resonant functions suggested the existence of peaks in the theta-band (burst SR-P at 9 Hz, pause SR-S at 5 Hz). Optogenetic stimulation of the cerebellar cortex altered stimulus-induced oscillations suggesting that Purkinje cells play a critical role in the circuits controlling DCN oscillations and plasticity. This observation complements those reported before on the granular and molecular layers supporting the generation of multiple distributed plasticities in the cerebellum following naturally patterned sensory entrainment. The unique dependency of DCN plasticity on circuit oscillations discloses a potential relationship between cerebellar learning and activity patterns generated in the cerebellar network

an international symposium held in Pavia on July 4th, 2014

New progresses into the molecular and cellular mechanisms of autism spectrum disorders (ASDs) have been discussed in 1 day international symposium held in Pavia (Italy) on July 4th, 2014 entitled “synapses as therapeutic targets for autism spectrum disorders” (satellite of the FENS Forum for Neuroscience, Milan, 2014). In particular, world experts in the field have highlighted how animal models of ASDs have greatly advanced our understanding of the molecular pathways involved in synaptic dysfunction leading sometimes to “synaptic clinical trials” in children

Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

The cerebellar microcircuit has been the work bench for theoretical and computational modeling since the beginning of neuroscientific research. The regular neural architecture of the cerebellum inspired different solutions to the long-standing issue of how its circuitry could control motor learning and coordination. Originally, the cerebellar network was modeled using a statistical-topological approach that was later extended by considering the geometrical organization of local microcircuits. However, with the advancement in anatomical and physiological investigations, new discoveries have revealed an unexpected richness of connections, neuronal dynamics and plasticity, calling for a change in modeling strategies, so as to include the multitude of elementary aspects of the network into an integrated and easily updatable computational framework. Recently, biophysically accurate realistic models using a bottom-up strategy accounted for both detailed connectivity and neuronal non-linear membrane dynamics. In this perspective review, we will consider the state of the art and discuss how these initial efforts could be further improved. Moreover, we will consider how embodied neurorobotic models including spiking cerebellar networks could help explaining the role and interplay of distributed forms of plasticity. We envisage that realistic modeling, combined with closed-loop simulations, will help to capture the essence of cerebellar computations and could eventually be applied to neurological diseases and neurorobotic control systems

Default Mode Network Structural Integrity and Cerebellar Connectivity Predict Information Processing Speed Deficit in Multiple Sclerosis

Cognitive impairment affects about 50% of multiple sclerosis (MS) patients, but the mechanisms underlying this remain unclear. The default mode network (DMN) has been linked with cognition, but in MS its role is still poorly understood. Moreover, within an extended DMN network including the cerebellum (CBL-DMN), the contribution of cortico-cerebellar connectivity to MS cognitive performance remains unexplored. The present study investigated associations of DMN and CBL-DMN structural connectivity with cognitive processing speed in MS, in both cognitively impaired (CIMS) and cognitively preserved (CPMS) MS patients. 68 MS patients and 22 healthy controls (HCs) completed a symbol digit modalities test (SDMT) and had 3T brain magnetic resonance imaging (MRI) scans that included a diffusion weighted imaging protocol. DMN and CBL-DMN tracts were reconstructed with probabilistic tractography. These networks (DMN and CBL-DMN) and the cortico-cerebellar tracts alone were modeled using a graph theoretical approach with fractional anisotropy (FA) as the weighting factor. Brain parenchymal fraction (BPF) was also calculated. In CIMS SDMT scores strongly correlated with the FA-weighted global efficiency (GE) of the network [GE(CBL-DMN): ρ = 0.87, R2 = 0.76, p < 0.001; GE(DMN): ρ = 0.82, R2 = 0.67, p < 0.001; GE(CBL): ρ = 0.80, R2 = 0.64, p < 0.001]. In CPMS the correlation between these measures was significantly lower [GE(CBL-DMN): ρ = 0.51, R2 = 0.26, p < 0.001; GE(DMN): ρ = 0.48, R2 = 0.23, p = 0.001; GE(CBL): ρ = 0.52, R2 = 0.27, p < 0.001] and SDMT scores correlated most with BPF (ρ = 0.57, R2 = 0.33, p < 0.001). In a multivariable regression model where SDMT was the independent variable, FA-weighted GE was the only significant explanatory variable in CIMS, while in CPMS BPF and expanded disability status scale were significant. No significant correlation was found in HC between SDMT scores, MRI or network measures. DMN structural GE is related to cognitive performance in MS, and results of CBL-DMN suggest that the cerebellum structural connectivity to the DMN plays an important role in information processing speed decline

Immediate early genes regulation in rat cerebellar cortex during long-term synaptic plasticity induction

The cerebellum is one of the brain areas involved in learning and memory formation. Long-term synaptic plasticity is thought to play a pivotal role in supporting these functions. Moreover Immediate Early Genes (IEGs) expression and de novo protein synthesis and/or modification have been strictly associated with maintenance of Long-Term Potentiation (LTP) as well as memory consolidation and storage. Two highly conserved signalling cascades, PKA and MAPK, seem to be involved in early- to late-LTP conversion; both pathway can activate CREB transcription factor through phosphorylation and P-CREB has been suggested to initiate the protein synthesis leading to late-LTP induction. The transcription factor c-fos is known to be rapidly and transiently induced in the Nervous System by a variety of stimuli and is thought to be directly involved in processes of neuronal plasticity including LTP. We used rat parasagittal cerebellar slices as a model system in which specific patterns of stimulation delivered to the mossy fibers can induce both Long-Term Potentiation and Long-Term Depression (LTD), depending on local inhibition and other regulating factors. Using Voltage Sensitive Dye (VSD) imaging we obtained high-resolution maps of the spatial distribution of LTP/LTD induced from a Teta Burst Stimulus (TBS) application. Control and stimulated slices were fixed at different times from the TBS application and processed for in situ hybridization or immunohystochemistry in order to detect IEGs mRNA expression patterns and protein expression/modifications. The expression pattern of c-fos and CREB mRNAs and their protein distribution and/or phosphorylation were then correlated with LTP/LTD maps generated by VSD imaging. Preliminary data indicate a significant increase of P-CREB in the granular layer suggesting that CREB phosphorylation is induced as early as 15 minutes post TBS application. In situ hybridization experiments indicate a good correlation between c-fos and CREB mRNAs up-regulation and LTP distribution at 120 minutes post TBS. At the protein level, the comparison of immunofluorescence signals and VSD immaging data indicate a clear correlation between c-Fos and P-CREB distribution and synaptic plasticity patterns. We are planning further experiments to confirm these data and to test our experimental system in the presence of drugs that could interfere with the transcription, translation or post-translational protein regulation

Prominent Changes in Cerebro-Cerebellar Functional Connectivity During Continuous Cognitive Processing

While task-dependent responses of specific brain areas during cognitive tasks are well established, much less is known about the changes occurring in resting state networks (RSNs) in relation to continuous cognitive processing. In particular, the functional involvement of cerebro-cerebellar loops connecting the posterior cerebellum to associative cortices, remains unclear. In this study, 22 healthy volunteers underwent a multi-session functional magnetic resonance imaging (fMRI) protocol composed of four consecutive 8-min resting state fMRI (rs-fMRI) scans. After a first control scan, participants listened to a narrated story for the entire duration of the second rs-fMRI scan; two further rs-fMRI scans followed the end of story listening. The story plot was purposely designed to stimulate specific cognitive processes that are known to involve the cerebro-cerebellar loops. Almost all of the identified 15 RSNs showed changes in functional connectivity (FC) during and for several minutes after the story. The FC changes mainly occurred in the frontal and prefrontal cortices and in the posterior cerebellum, especially in Crus I-II and lobule VI. The FC changes occurred in cerebellar clusters belonging to different RSNs, including the cerebellar network (CBLN), sensory networks (lateral visual network, LVN; medial visual network, MVN) and cognitive networks (default mode network, DMN; executive control network, ECN; right and left ventral attention networks, RVAN and LVAN; salience network, SN; language network, LN; and working memory network, WMN). Interestingly, a k-means analysis of FC changes revealed clustering of FCN, ECN, and WMN, which are all involved in working memory functions, CBLN, DMN, and SN, which play a key-role in attention switching, and RSNs involved in visual imagery. These results show that the cerebellum is deeply entrained in well-structured network clusters, which reflect multiple aspects of cognitive processing, during and beyond the conclusion of auditory stimulation

Immediate early genes expression in the cerebellar cortex correlates with LTP and LTD induction

The consolidation of changes following activity-dependent neural plasticity are believed to involve specific patterns of gene expression. In the hippocampus, immediate early genes are thought to contribute to long-term synaptic plasticity (LTP and LTD); this phenomenon may occur also in the cerebellum, in which the transcription factors c-Fos and P-CREB have been identified. The cerebellum granular layer (GL) can manifest both LTP and LTD following a Theta Burst Stimulus (TBS) delivered to the mossy fibers. We have employed VSD imaging in rat cerebellar slices (P18-24) in order to map the spatial distribution of LTP and LTD in the cerebellum GL. Fluorescence changes were correlated to LTP or LTD in two different post-TBS time ranges (15 and 120 min). Slices were then fixed and processed for immunohistochemistry in order to identify levels of c-Fos and P-CREB expression. The induction of long-term plasticity increased the average level of P-CREB both at 15 min (+39±4.9, p<0.01%) and 120 min (+24±7.2, p<0.05%) after TBS. The level of c-Fos was unaltered at 15 min, while it significantly increased at 120 min (+37±8.9, p<0.05%). By spatially correlating longterm synaptic plasticity with the corresponding variation of P-CREB and c-Fos, we observed that regions showing LTP well correlated (p<0.05) with positive variations of P-CREB and c-Fos. Conversely, areas showing LTD correlated exclusively (p<0.05) with negative variations of P-CREB. Slices were also evaluated by in situ hybridization and a similar analysis was performed. The levels of fos and CREB mRNA expression and their spatial correlation with the sign of long-term synaptic plasticity corresponded with the immunohistochemical results. As a further test, VSD recordings showed that the induction of granular layer LTP and LTD could be prevented by applying 50 mM D-APV, a selective NMDA receptor blocker. Moreover, in situ hybridization and immunohistochemistry analysis evidenced that in these conditions both mRNA and protein expression levels of c-fos and CREB were unchanged, confirming the involvement of these two transcription factors in cerebellar granular layer plasticity

Modelling human choices: MADeM and decision‑making

Research supported by FAPESP 2015/50122-0 and DFG-GRTK 1740/2. RP and AR are also part of the Research, Innovation and Dissemination Center for Neuromathematics FAPESP grant (2013/07699-0). RP is supported by a FAPESP scholarship (2013/25667-8). ACR is partially supported by a CNPq fellowship (grant 306251/2014-0)