Evidence map›Paper›PMID 41545562›Full record

ArticleScientific reports2026

Temporal order of activations and interactions during arithmetic calculations measured by intracranial electrophysiological recordings in the human brain.

M Kalinova, B Kerkova, A Kalina, V Pytelova, J Amlerova, R Janca, P Jezdik, D Krysl, M Kudr, P Krsek and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 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

12 authors.

M KalinovaDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic. michaela.kajsova@lfmotol.cuni.cz.
B KerkovaDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
A KalinaDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
V PytelovaDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
J AmlerovaDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
R JancaDepartment of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
P JezdikDepartment of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
D KryslDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
M KudrDepartment of Pediatric Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
P KrsekDepartment of Pediatric Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
P MarusicDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic. Petr.Marusic@fnmotol.cz.
J HammerDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.

Funding

ERDF-Project Brain Dynamics No. CZ.02.01.01/00/22_008/0004643Grant Agency of Charles University 272221
6 · The paper itself

Abstract

Arithmetic requires complex and fast processes orchestrated within a large-scale network spanning multiple brain regions. However, reports on the network’s temporal dynamics are scarce. Here, we present data from intracranial EEG (iEEG) of 20 subjects (epilepsy surgery candidates) performing a sequential three-operand arithmetic task. Utilizing the high temporal and spatial resolution of iEEG, we analysed changes in high-gamma band (HGB; 52–120 Hz) activity and functional connectivity assessed by phase-locking value (PLV) in the delta (0.1–3 Hz) and theta (3–7 Hz) frequency bands. Strong and transient HGB activations peaked first in the ventral occipito-temporal cortex, followed by a more gradual increase in the lateral parietal, sensorimotor, and frontal cortices, accompanied by deactivations in default mode network areas. The connectivity patterns were more extensive during calculation than number recognition, with the theta PLV peaking ~ 150 ms earlier than the delta PLV. Earliest connectivity appeared, surprisingly, between ventral temporal and frontal regions at ~ 100–200 ms, evolving into a robust pattern among key network nodes at ~ 200–400 ms after the presentation of each operand. The presented results elucidate information flow within the putative arithmetic network during calculation in the human brain, offering high-temporal-resolution insights into its functional architecture.

Indexed as

BrainElectrocorticographyAdultBrain MappingElectroencephalographyFemaleHumansMaleNerve NetYoung AdultBrain network dynamicsFunctional connectivityHigh-gamma band activity (HGB)Intracranial electroencephalography (iEEG)Numerical cognitionPhase-locking value (PLV)

Identifiers

PMID41545562
PMCPMC12891490

What Socratic holds

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LicenceCC BY
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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 Socratic graph.