Evidence map›Paper›PMID 41566001›Full record

ArticleCommunications biology2026

Backward alpha band oscillations shape perceptual bias under probabilistic cues.

Luca Tarasi, Andrea Alamia, Vincenzo Romei

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Prior Expectations Bias Confidence Judgments Through Parietal Alpha-Band Modulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  9. Cortical travelling waves relate to variation in personality traits.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
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

3 authors.

Luca TarasiDipartimento di Psicologia, Università di Bologna and Centro studi e ricerche in Neuroscienze Cognitive, Università di Bologna, Cesena, Italy. luca.tarasi2@unibo.it.ORCID http://orcid.org/0000-0002-4977-3173
Andrea AlamiaCentre de Recherche Cerveau et Cognition (CerCo), CNRS, Université de Toulouse, Toulouse, France.ORCID http://orcid.org/0000-0001-9826-2161
Vincenzo RomeiDipartimento di Psicologia, Università di Bologna and Centro studi e ricerche in Neuroscienze Cognitive, Università di Bologna, Cesena, Italy. vincenzo.romei@unibo.it.ORCID http://orcid.org/0000-0003-1214-2316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictive coding theory suggests that prior knowledge is crucial for optimizing human decision-making. However, how cortical dynamics implement this integration remains unclear. Here, we employ a traveling wave approach to investigate how alpha band oscillations integrate prior expectations during a perceptual decision-making task. Our findings demonstrate that expectation-based knowledge triggers the propagation of alpha band traveling waves from frontal to occipital areas, with this increase associated with enhanced modulation of brain regions involved in stimulus processing and directly linked to prior-driven bias at the behavioral level. Moreover, participants who rely more on prior expectations exhibit stronger top-down signaling (frontal-to-occipital), whereas those who focus on sensory input show a contrasting bottom-up pattern (occipital-to-frontal). These results highlight the role of alpha band traveling waves in predictive mechanisms, suggesting that rhythmic interactions across brain regions facilitate this process and contribute to inter-individual differences in its implementation.

Indexed as

Alpha RhythmBrainCuesDecision MakingAdultFemaleHumansMaleYoung Adult

Identifiers

PMID41566001
PMCPMC12921037

What OpenQuestion holds

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Registered trials

None linked

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.