Evidence map›Paper›PMID 42512532›Full record

ReviewBrain sciences2026

Cerebellar Electrical Activity as a Marker for Predicting Brain Health and Disease: A Review.

Gordana Stojadinović, Ljiljana Martać, Srđan Kesić, Branka Petković, Jelena Podgorac Kojadinović

Abstract readReview
In one paragraph

Review in Brain sciences, 2026. 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

5 authors.

Gordana StojadinovićDepartment of Neurophysiology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despota Stefana Blvd. 142, 11108 Belgrade, Serbia.
Ljiljana MartaćDepartment of Neurophysiology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despota Stefana Blvd. 142, 11108 Belgrade, Serbia.ORCID 0000-0002-9931-7328
Srđan KesićDepartment of Neurophysiology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despota Stefana Blvd. 142, 11108 Belgrade, Serbia.ORCID 0000-0002-2323-9669
Branka PetkovićDepartment of Neurophysiology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despota Stefana Blvd. 142, 11108 Belgrade, Serbia.ORCID 0000-0001-7817-4092
Jelena Podgorac KojadinovićDepartment of Neurophysiology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despota Stefana Blvd. 142, 11108 Belgrade, Serbia.

Funding

Ministry of Science, Technological Development, and Innovation 451-03-136/2025-03/200007
6 · The paper itself

Abstract

The cerebellum is traditionally considered a structure responsible for motor control, but it is also involved in auditory perception, vocalization, speech, memory, emotional control, and social cognition. Due to its high intrinsic synaptic plasticity and complex connectivity with other brain regions, it is of potential interest for monitoring adaptive responses under various physiological and pathological conditions to capture global brain dynamics. Nevertheless, the use of electrocerebellography (ECeG) to detect changes in cerebellar electrical activity is limited, and a systematic evaluation of ECeG data to inform future research directions is lacking. This review summarizes recent ECeG research to explore the contribution of this time-honored method to deciphering the cerebellum's spatial and temporal dynamics in health and disease. ECeG studies from the past three decades examining the slow and fast adaptive responses of the cerebellum in different cerebellar layers during sleep, anesthesia, brain injury, epilepsy, neurodegenerative diseases, and neuropsychiatric disorders are compiled from the PubMed, Scopus, and Google Scholar databases and discussed accordingly. It can be concluded that, despite certain limitations, ECeG is a practical, valuable, and reliable technique for detecting and predicting the complex spatial and temporal features of cerebellar electrical activity.

Indexed as

adaptive responsesanimal modelscerebellumelectrocerebellographyspatio-temporal patterns

Identifiers

PMID42512532
PMCPMC13406501

What OpenQuestion holds

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Registered trials

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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.