Evidence map›Paper›PMID 40526235›Full record

ArticleNeuroinformatics2025

Cerebellar Micro Complex Model Using Histologic Boolean Mapping Simulates Adaptive Motor Control.

Gregoris A Orphanides, Christoforos Demosthenous, Ariadni Georgianakis, Vasilis Stylianides, Konstantinos Antoniou, Petros Kyriacou, Andreas A Ioannides, Alberto Capurro

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In one paragraph

Article in Neuroinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gregoris A OrphanidesQueen Mary University of London, 4 Newark Street, Mile End Road, London, E1 4 NS, UK. g.orphanides@smd22.qmul.ac.uk.ORCID http://orcid.org/0000-0002-9057-984X
Christoforos DemosthenousQueen Mary University of London, 4 Newark Street, Mile End Road, London, E1 4 NS, UK.ORCID http://orcid.org/0009-0002-5032-7258
Ariadni GeorgianakisQueen Mary University of London, 4 Newark Street, Mile End Road, London, E1 4 NS, UK.ORCID http://orcid.org/0000-0002-8521-0511
Vasilis StylianidesQueen Mary University of London, 4 Newark Street, Mile End Road, London, E1 4 NS, UK.ORCID http://orcid.org/0009-0005-2343-8165
Konstantinos AntoniouQueen Mary University of London, 4 Newark Street, Mile End Road, London, E1 4 NS, UK.ORCID http://orcid.org/0009-0007-8570-6457
Petros KyriacouQueen Mary University of London, 4 Newark Street, Mile End Road, London, E1 4 NS, UK.ORCID http://orcid.org/0009-0006-3663-2255
Andreas A IoannidesAAI Scientific Cultural Services Ltd, 1065, Nicosia, Cyprus.ORCID http://orcid.org/0000-0002-8474-8707
Alberto CapurroQueen Mary University of London, 4 Newark Street, Mile End Road, London, E1 4 NS, UK.ORCID http://orcid.org/0000-0001-6773-6512

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite extensive cerebellar research, the functional role of individual cerebellar micro complexes (CmCs) in motor coordination remains debated. This study aimed to utilise a reductionist approach to model the CmC function in motor control using the Histologic Boolean Mapping (HBM-VNR) framework and validate it through replication of features observed in the literature. HBM-VNR modelled each neuron within the CmC as a Boolean expression derived from its architectural connectivity. The model incorporates the Variable Neuronal Response (VNR) synaptic model, introducing probabilistic post-synaptic firing to reflect physiological variability. Motor control dynamics follow the cerebellar brain inhibition phenomenon, where Deep Cerebellar Nucleus (DCN) firing activates the antagonist muscles. The model performed the task of feedback-control in an idealised joint following a desired sinusoidal position. HBM-VNR produced a minimalistic model that reproduced adaptive compensation to external forces and predicted intention tremor when CmC population was reduced, and the expected ethanol induced motor impairments. Simulated firing patterns of the DCN and Purkinje cell showed patterns resembling real recordings both in physiological and pathological situations. The Shifting Central Frequency Hypothesis (SCFH) was suggested to explain the CmC comparator functionality. This study presents HBM-VNR as a histologically grounded modelling approach for neural circuits. HBM-VNR simulated adaptive motor control and predicted neocerebellar syndrome symptomatology and alcohol intoxication effects. SCFH offers a computational mechanism consistent with the cerebellar internal model theories and places CmC as the basis for motor learning in line with the literature, positioning HBM-VNR as a scalable framework for neuroanatomical modelling.

Indexed as

CerebellumModels, NeurologicalNeuronsAnimalsCerebellar NucleiComputer SimulationHumansBoolean algebraCerebellar modelHistologic Boolean MappingIntention tremorMotor controlVariable Neuronal Response

Identifiers

PMID40526235
PMCPMC12174260

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.