Mesoscale simulations predict the role of synergistic cerebellar plasticity during classical eyeblink conditioning DOI Creative Commons
Alice Geminiani, Claudia Casellato,

H-J Boele

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июнь 23, 2023

Abstract According to Marr’s motor learning theory, plasticity at the parallel fibre Purkinje cells synapse ( pf -PC) is main substrate responsible for sensorimotor contingencies under climbing control. However, discovery of multiple forms distributed over different cerebellar circuit synapses prompts remap sites. Here, we have simulated classical eyeblink conditioning (CEBC) using an advanced spiking model embedding upbound and downbound modules that are subject rules. Simulations show synaptic regulates cascade precise patterns spreading throughout cortex nuclei. CEBC was supported by in both -PC feedforward inhibitory loop passing through molecular layer interneurons (MLIs), but only combined switch-off sites compromised significantly. By differentially engaging information related plasticity, contributed generate a well-timed conditioned response, it module played major role this process. The outcomes our simulations closely align with behavioural electrophysiological phenotypes mutant mice suffering from cell-specific mutations affect processing their PC or MLI synapses. Our data highlight synergy bidirectional rules across cerebellum facilitate finetuning adaptive associative behaviours high spatiotemporal resolution.

Язык: Английский

Cognitive-Affective Functions of the Cerebellum DOI Creative Commons
Stephanie Rudolph, Aleksandra Badura, Stefano Lutzu

и другие.

Journal of Neuroscience, Год журнала: 2023, Номер 43(45), С. 7554 - 7564

Опубликована: Ноя. 8, 2023

The cerebellum, traditionally associated with motor coordination and balance, also plays a crucial role in various aspects of higher-order function dysfunction. Emerging research has shed light on the cerebellum's broader contributions to cognitive, emotional, reward processes. influence autonomic further highlights its significance regulating motivational emotional states. Perturbations cerebellar development have been implicated neurodevelopmental disorders, including autism spectrum disorder attention deficit hyperactivity disorder. An increasing appreciation for neuropsychiatric symptoms that arise from dysfunction underscores importance elucidating circuit mechanisms underlie complex interactions between cerebellum other brain regions comprehensive understanding behavior. By briefly discussing new advances mapping affective, autonomic, social processing reviewing neuropathology beyond domain, this Mini-Symposium review aims provide broad perspective intersections limbic health disease.

Язык: Английский

Процитировано

54

Cerebellar Functions Beyond Movement and Learning DOI
Linda Kim, Detlef Heck, Roy V. Sillitoe

и другие.

Annual Review of Neuroscience, Год журнала: 2024, Номер 47(1), С. 145 - 166

Опубликована: Апрель 25, 2024

The cerebellum has a well-established role in controlling motor functions, including coordination, posture, and the learning of skilled movements. mechanisms for how it carries out behavior remain under intense investigation. Interestingly though, recent years cerebellar function have faced additional scrutiny since nonmotor behaviors may also be controlled by cerebellum. With such complexity arising, there is now pressing need to better understand structure, function, intersect influence that are dynamically called upon as an animal experiences its environment. Here, we discuss experimental work frames possible neural shapes disparate why dysfunction catastrophic hereditary acquired conditions—both nonmotor. For these reasons, might ideal therapeutic target.

Язык: Английский

Процитировано

13

New clues for the role of cerebellum in schizophrenia and the associated cognitive impairment DOI Creative Commons
Pawan Faris, Doris Pischedda, Fulvia Palesi

и другие.

Frontiers in Cellular Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Май 10, 2024

Schizophrenia (SZ) is a complex neuropsychiatric disorder associated with severe cognitive dysfunction. Although research has mainly focused on forebrain abnormalities, emerging results support the involvement of cerebellum in SZ physiopathology, particularly Cognitive Impairment Associated (CIAS). Besides its role motor learning and control, implicated cognition emotion. Recent suggests that structural functional changes are linked to deficits various domains including attention, working memory, decision-making. Moreover, cerebellar dysfunction related altered circuit activities connectivity brain regions processing. This review delves into CIAS. We initially consider major alterations CIAS, addressing impairments neurotransmitter systems, synaptic plasticity, connectivity. then focus recent findings showing several mechanisms also communication impaired. evidence implicates as key component circuits underpinning CIAS physiopathology. Further studies warranted might open new perspectives toward understanding physiopathology effective treatment these disorders.

Язык: Английский

Процитировано

12

Mesoscale simulations predict the role of synergistic cerebellar plasticity during classical eyeblink conditioning DOI Creative Commons
Alice Geminiani, Claudia Casellato, Henk‐Jan Boele

и другие.

PLoS Computational Biology, Год журнала: 2024, Номер 20(4), С. e1011277 - e1011277

Опубликована: Апрель 4, 2024

According to the motor learning theory by Albus and Ito, synaptic depression at parallel fibre Purkinje cells synapse ( pf -PC) is main substrate responsible for sensorimotor contingencies under climbing control. However, recent experimental evidence challenges this relatively monopolistic view of cerebellar learning. Bidirectional plasticity appears crucial learning, in which different microzones can undergo opposite changes strength (e.g. downbound microzones–more likely depression, upbound microzones—more potentiation), multiple forms have been identified, distributed over circuit synapses. Here, we simulated classical eyeblink conditioning (CEBC) using an advanced spiking model embedding modules that are subject rules. Simulations indicate regulates cascade precise patterns spreading throughout cortex nuclei. CEBC was supported -PC synapses as well molecular layer interneurons (MLIs), but only combined switch-off both sites compromised significantly. By differentially engaging information related plasticity, contributed generate a well-timed conditioned response, it module played major role process. The outcomes our simulations closely align with behavioural electrophysiological phenotypes mutant mice suffering from cell-specific mutations affect processing their PC and/or MLI Our data highlight synergy bidirectional rules across cerebellum facilitate finetuning adaptive associative behaviours high spatiotemporal resolution.

Язык: Английский

Процитировано

6

The Cerebellar Role in Emotions at a Turning Point: Bibliometric Analysis and Collaboration Networks DOI Creative Commons

Dianela A. Osorio-Becerra,

Egidio D’Angelo,

Claudia Casellato

и другие.

The Cerebellum, Год журнала: 2025, Номер 24(2)

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

0

Linking cellular-level phenomena to brain architecture: the case of spiking cerebellar controllers DOI Creative Commons
Egidio D’Angelo, Alberto Antonietti, Alice Geminiani

и другие.

Neural Networks, Год журнала: 2025, Номер 188, С. 107538 - 107538

Опубликована: Апрель 23, 2025

Linking cellular-level phenomena to brain architecture and behavior is a holy grail for theoretical computational neuroscience. Advances in neuroinformatics have recently allowed scientists embed spiking neural networks of the cerebellum with realistic neuron models multiple synaptic plasticity rules into sensorimotor controllers. By minimizing distance (error) between desired actual sensory state, exploiting prediction, cerebellar network acquires knowledge about body-environment interaction generates corrective signals. In doing so, implements generalized algorithm, allowing it "to learn predict timing correlated events" rich set behavioral contexts. Plastic changes evolve trial by are distributed over synapses, regulating neuronal discharge fine-tuning high-speed movements on millisecond timescale. Thus, built-in controllers, among various approaches studying function, helping reveal substrates learning signal coding, opening new frontiers predictive computing autonomous robots.

Язык: Английский

Процитировано

0

Learning performance of cerebellar circuit depends on diversity and chaoticity of spiking patterns in granule cells: A simulation study DOI Creative Commons
Soichiro Fujiki, Kenji Kansaku

Neural Networks, Год журнала: 2025, Номер 189, С. 107585 - 107585

Опубликована: Май 5, 2025

Язык: Английский

Процитировано

0

Coincidence detection between apical and basal dendrites drives STDP in cerebellar Golgi cells DOI Creative Commons

Eleonora Pali,

Stefano Masoli,

Danila Di Domenico

и другие.

Communications Biology, Год журнала: 2025, Номер 8(1)

Опубликована: Май 12, 2025

Cerebellar Golgi cells (GoCs), segregate parallel fiber (pf), and mossy (mf) inputs on apical basal dendrites. Computational modeling predicted that this anatomical arrangement, coupled with a specific ionic channel localization, could be instrumental to drive STDP at mf-GoC synapses. Here, we test hypothesis GoC patch-clamp recordings in acute mouse cerebellar slices. Repeated mf-pf pairing the theta-band within ± 50 ms time window induces anti-symmetric Hebbian-STDP, spike-timing long-term potentiation or depression (st-LTP st-LTD) occurring when action potentials (APs) elicited by pf stimulation follow precede activation of mf synapses, respectively. Mf-GoC induction requires AP backpropagation from dendrites, NMDA receptor intracellular calcium changes. Importantly, is inverted inhibitory control. Thus, experimental evidence confirms extends model predictions suggesting can bind molecular layer granular activity, regulating computation learning.

Язык: Английский

Процитировано

0

Addressing inconsistency in functional neuroimaging: A replicable data-driven multi-scale functional atlas for canonical brain networks DOI Creative Commons
Kyle M. Jensen, Jessica A. Turner, Vince D. Calhoun

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Сен. 10, 2024

The advent of various neuroimaging methodologies has greatly aided in the conceptualization large-scale brain networks field cognitive neuroscience. However, there is inconsistency across studies both nomenclature and functional entities being described. There a need for unifying framework which standardizes terminology while also bringing analyses results into same reference space. Here we present whole-brain atlas canonical derived from more than 100k resting-state fMRI datasets. These data-driven are highly replicable datasets as well multiple spatial scales. We have organized, labeled, described them with terms familiar to fields affective neuroscience order optimize their utility future enhance accessibility new findings. benefits this not limited template-based or reference-guided analyses, but extend other approaches modalities, such those using blind independent component analysis (ICA). Future utilizing will contribute greater harmonization standardization research.

Язык: Английский

Процитировано

3

A Functional Magnetic Resonance Imaging Investigation of Hot and Cool Executive Functions in Reward and Competition DOI Creative Commons
Hsin-Yu Lin, Hoki Fung, Yifan Wang

и другие.

Sensors, Год журнала: 2025, Номер 25(3), С. 806 - 806

Опубликована: Янв. 29, 2025

Social and environmental influences are important for learning. However, the influence of reward competition during social learning is less understood. The literature suggests that ventromedial prefrontal cortex implicated in hot executive functioning (EF), while dorsolateral related to cool EF. In addition, processing deficits associated with atypical connectivity between nucleus accumbens dorsofrontal regions. Here, we used functional magnetic resonance imaging (fMRI) determine role EF their relationship performance under competition. We adapted a reward-based n-back task examine neural correlates on A total 29 healthy adults showed cortical activation individual differences abilities fMRI scans. Hot activated distinct networks right insula, hippocampus, left caudate nucleus, superior parietal gyrus no-competition task, they differentially precuneus condition. Further analysis revealed correlations Hot–Cool network sensitivity risk-taking behaviour. findings provided further insights into basis engagement socio-emotional regulation

Язык: Английский

Процитировано

0