Changes in human brain dynamics during behavioral priming and repetition suppression — TEI-tagged view

Korzeniewska, Wang, Benz, Fifer, Collard, Milsap, Cervenka, Martin · 2020 · neuroscience · doi:10.1016/j.pneurobio.2020.101788 · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (xml); every evidence string verified as an exact substring of that text before merging. Replication status is 'untested': the paper reports its top-down-propagation finding as new and calls for further study, and its own repetition-enhancement observation did not survive group statistics. The record's claim type is 'mechanism' for the top-down propagation account; the paper simultaneously delivers a null result against the facilitation model in VOTC, which is recorded as a contradicts relation rather than as a second claim_type. 2026-08-19 and 2026-08-25 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
Other fields define these differently the same word, defined another way in another discipline
predictive coding 3 fields · confidence interval 2 fields
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
behavioral priming4 repetition suppression9 repetition enhancement electrocorticography3 predictive coding8 electrophysiology110

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonbehavioural priming and repetition suppression— “Behavioral responses to a perceptual stimulus are typically faster with repeated exposure to the stimulus (behavioral priming).”
claim-typemechanism— “The latter results indicate that repetition suppression and behavioral priming are associated with strengthening of top-down network influences on perceptual processing, consistent with predictive coding models of repetition suppression, and they support a central role for changes in large-scale cortical dynamics in achieving more efficient…
method — evidence— “Here, we used the unparalleled precision of electrocorticography (ECoG) to analyze the timing and magnitude of task-related changes in neural activation and propagation while patients named novel vs repeated visual objects.”
transferfrom econometrics / time-series causality analysis: The Granger-causality framework for time series is taken over, as event related causality built on multivariate autoregressive models, to estimate the direction and timing of neural propagation between cortical recording sites.— “we evaluated changes in the propagation of high gamma activity using a recently developed technique – event related causality (ERC), based on the concept of Granger causality, to measure the timing, magnitude and directionality of task-related changes in neural propagation across cortical networks activated during visual object naming”transfers[0]
transferfrom Bayesian statistics: The predictive coding account the paper adopts treats the cortex itself as a hierarchical generative Bayesian statistical model, with top-down predictions and bottom-up prediction error.— “In this model, the cortex is considered a form of hierarchical generative Bayesian statistical model.”transfers[1]
mechanismWith repetition the cortex's generative model predicts the stimulus better, so top-down predictive input grows stronger and the prediction-error cells it suppresses fire less, which is what is measured as repetition suppression— “As the model improves its predictions with stimulus repetition and experience, the top-down input grows stronger and activity in cells that encode prediction error decreases, yielding repetition suppression.”mechanisms[0]
mechanismStrengthened top-down propagation from left prefrontal cortex drives down activation in ventral occipito-temporal cortex and elsewhere, producing repetition suppression— “These findings are suggestive of a role for repetition-related top-down propagation from LPFC in driving effects on repetition suppression that are observed in VOTC and elsewhere.”mechanisms[1]
mechanismAt sensorimotor and superior-temporal sites the apparent temporal shift is not a change in perception but a consequence of the shorter speaking latency: the activity is locked to the response, so aligning to response onset abolishes the shift— “This shift, however, was no longer apparent when cortical signals were aligned to response onset, suggesting that activation at these sites was linked to response processing and that the temporal shift was due to shorter latencies to respond to repeated stimuli.”mechanisms[2]
builds-on Ghuman et al. (2008) MEG study of LPFC-temporal phase locking during priming— “Our finding of early increased top-down propagation with repetition complements a previous study by Ghuman et al. (2008) using MEG, which reported enhanced phase-locking between LPFC and temporal cortex in low-beta frequencies (12–14 Hz) for repeated objects during object identification, beginning ~200 ms after stimulus onset.”claim_relations[0]
contradicts the “facilitation” model of repetition suppression (James et al., 2000; Henson, 2003)— “Importantly, we did not observe a consistent temporal shift in the temporal envelope of VOTC activation to earlier latencies, as predicted by the “facilitation” model.”claim_relations[1]
extends Ghuman et al. (2008) MEG study of top-down phase locking in priming— “Our finding of early increased top-down propagation with repetition complements a previous study by Ghuman et al. (2008) using MEG, which reported enhanced phase-locking between LPFC and temporal cortex in low-beta frequencies (12–14 Hz) for repeated objects during object identification, beginning ~200 ms after stimulus onset.”claim_relations[2]
contradicts the "facilitation" model of repetition suppression (James et al., 2000; Henson, 2003)— “Importantly, we did not observe a consistent temporal shift in the temporal envelope of VOTC activation to earlier latencies, as predicted by the “facilitation” model.”claim_relations[3]
builds-on the "predictive coding" model of repetition suppression and priming (Henson, 2003; Friston, 2005)— “The entire pattern of results is perhaps in best accordance with the “predictive coding” model of repetition suppression and priming ( Henson, 2003 ; Friston, 2005 ).”claim_relations[4]
replicates Marinkovic et al. (2003) MEG finding of a shift from repetition enhancement to repetition suppression— “This diversity occurred early, and sustained suppression followed, consistent with previous findings with MEG that repetition effects can shift from initial RE to RS ( Marinkovic et al. , 2003 ).”claim_relations[5]
senseTHE SAME PARADOX Gotts2012 REVIEWS, AND THIS IS THE EXPERIMENT IT ASKED FOR. Gotts said the four candidate models were `in need of testing`; this paper says why they had not been tested - `noninvasive techniques for human studies have had insufficient spatial-temporal precision for testing their predictions` - and then supplies the precision with electrocorticography. A review naming a gap and a study filling it, two records in one corpus— “Several neurophysiological models have been proposed to resolve this paradox, but noninvasive techniques for human studies have had insufficient spatial-temporal precision for testing their predictions. Here, we used the unparalleled precision of electrocorticography”senses[0]
senseTHREE EFFECTS, NOT TWO. Beside suppression the study finds repetition ENHANCEMENT at some sites and a TEMPORAL SHIFT to earlier responses at others - `repetition suppression (RS) at some sites, and repetition enhancement (RE) in others, the latter often followed by repetition suppression (~600 ms)`. The paradox as usually stated has two terms; measured at this resolution the cortex does three different things, sometimes in sequence at one site— “we observed a more complex pattern of changes, reflecting repetition suppression (RS) at some sites, and repetition enhancement (RE) in others, the latter often followed by repetition suppression”senses[1]
senseAND THE NOVEL EFFECT DOES NOT SURVIVE THE GROUP ANALYSIS, IN THE PAPER'S OWN WORDS: `Group analyses aggregating recording sites with statistically significant repetition enhancement (RE) did not reach statistical significance for VOTC, LPFC, or OAS.` So RE is a per-site observation, reported honestly as one, with the closing verdict that further investigation `is warranted` rather than that the effect is established. The result the abstract calls `interesting` is the one the results section declines to claim at group level— “Group analyses aggregating recording sites with statistically significant repetition enhancement (RE) did not reach statistical significance for VOTC, LPFC, or OAS”senses[2]
senseWHAT THE ELECTRODES COULD SEE IS A LIMIT ON WHAT WAS FOUND, and the paper says so: `the numbers of sites revealing repetition suppression, repetition enhancement, or temporal shift were limited by the electrode locations unique to each patient`. Coverage is clinical, not experimental - electrodes go where the epilepsy surgery needs them - so absence of an effect at a site is not evidence of its absence in that region. A sampling constraint that no amount of statistics repairs— “Therefore, the numbers of sites revealing repetition suppression, repetition enhancement, or temporal shift were limited by the electrode locations unique to each patient”senses[3]
controlobject names matched for word frequency, and the lists of repeated versus novel objects counterbalanced across patients — held — rules out that a difference between novel and repeated objects is a difference in word frequency, or a property of which particular objects happened to land in which list— “Object names were matched for word frequency, and lists of repeated versus non-repeated (novel) objects were counterbalanced across patients.”controls[0]
differs inbehavioral priming —contrasted-with→ repetition suppression — THE DIRECTION EACH MOVES ON THE SAME REPETITION - responses get FASTER while neural activity gets WEAKER. The paper calls it a paradox in the sentence that states it, and the whole study exists to resolve it— “Many studies of the neural bases for behavioral priming have encountered an interesting paradox: in spite of faster behavioral responses, repeated stimuli usually elicit weaker neural responses (repetition suppression)”— “in spite of faster behavioral responses”concept_edges[0]
notebehavioral priming —contrasted-with→ repetition suppression — The same contrast tagged on Gotts2012 forty minutes earlier, from a review; here it is from the experiment that tests it. Two records, one paradox, and the corpus can now hold the review's inventory beside the measurement.— “Many studies of the neural bases for behavioral priming have encountered an interesting paradox: in spite of faster behavioral responses, repeated stimuli usually elicit weaker neural responses (repetition suppression)”concept_edges[0]
weightbehavioral priming —contrasted-with→ repetition suppression — 0.95— “Many studies of the neural bases for behavioral priming have encountered an interesting paradox: in spite of faster behavioral responses…concept_edges[0]
auditpredictive coding —causes→ repetition suppression — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the results 'PROVIDE SUPPORT FOR' predictive coding; the 'increases' sign is not stated.concept_edges[1]
effect directionpredictive coding —causes→ repetition suppression — increases
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concept_edges[1]
notepredictive coding —causes→ repetition suppression — THE EVIDENCE IS A TIMING CLAIM: the top-down propagation PRECEDED the suppression, which is what makes it a candidate cause rather than a correlate. Weighted 0.85 - 'provide support for' is the paper's own strength, and precedence is necessary but not sufficient for the model.
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concept_edges[1]
weightpredictive coding —causes→ repetition suppression — 0.85
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concept_edges[1]
differs inrepetition enhancement —distinct-from→ repetition suppression — THE SIGN OF THE NEURAL CHANGE AT A SITE - enhancement is more activity with repetition, suppression is less, and the two occur at different electrodes in the same patients, sometimes in sequence at one site with enhancement followed by suppression around 600 ms
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concept_edges[2]
noterepetition enhancement —distinct-from→ repetition suppression — Weight 0.8 and NOT higher, because of the group analysis: RE 'did not reach statistical significance for VOTC…'. The distinction is real at individual sites and unestablished at group level, and the sense row carries that. Recording this at 0.95 would assert what the results section declines to claim.
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concept_edges[2]
weightrepetition enhancement —distinct-from→ repetition suppression — 0.8
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concept_edges[2]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
duplicate oflimitation — limitations[0]
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limitations[5]
duplicate oflimitation — limitations[1]
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limitations[6]
replicationuntested
limitationRepetition enhancement was significant only at individual sites; group analyses failed to reach significance in any region of interest, possibly through timing variability and uneven sampling.
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limitations[0]
limitationOnly very short (few-second) repetition delays were examined, while the models at stake concern much longer delays.
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limitations[1]
limitationHigh gamma responses cannot adjudicate models that posit changes in single-neuron tuning, such as the sharpening model.
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limitations[2]
limitationElectrode placement was clinically, not experimentally, determined, constraining which sites could show each repetition effect.
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limitations[3]
limitationElectrode placement was clinically determined, so the sites at which each repetition effect could be detected were constrained by each patient's coverage.
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limitations[4]
limitationRepetition enhancement was significant at individual sites but failed to reach significance in any region-of-interest group analysis.
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limitations[5]
limitationOnly short (few-second) repetition delays were tested, whereas the models at issue concern long-lasting representational change.
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limitations[6]
limitationThe design and analyses cannot adjudicate the sharpening or synchrony models.
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limitations[7]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingBehavioral priming was accompanied by suppressed high gamma activity in ventral occipito-temporal cortex, left prefrontal cortex and other activated sites, plus a shift of activity to earlier time points in sensorimotor regions that mediate speaking.
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content_tags.findings[0]
findingRepetition also increased activation at 30 sites in lateral frontal, parietal and temporal cortex, but never in ventral occipito-temporal cortex, so repetition enhancement and suppression occupy different territory.
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content_tags.findings[1]
findingRepeated stimuli produced a statistically significant increase in high gamma propagation from left prefrontal cortex into ventral occipito-temporal cortex beginning about 100 ms after stimulus onset.
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content_tags.findings[2]
findingThe repetition-related rise in top-down propagation became significant numerically earlier than repetition suppression in VOTC.
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content_tags.findings[3]
findingWithin individual patients, novel stimuli drove propagation mainly bottom-up, from VOTC to LPFC.
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content_tags.findings[4]
findingRepeated trials showed no consistent shift of VOTC activation to earlier latencies, as the facilitation model predicted.
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content_tags.findings[5]
findingRepetition suppression emerged in ventral occipito-temporal cortex at about 140 ms but only reached significance in left prefrontal cortex at about 280 ms.
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content_tags.findings[6]
findingRepetition enhancement, although present at individual electrodes, did not survive group-level statistics in any region of interest.
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content_tags.findings[7]
quantityt(9) = 6.015, p < 0.001 — Group-level paired t-test confirming faster responses to repeated than to novel pictures across the ten patients
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content_tags.quantities[0]
quantity962 — Total number of recording sites sampled across all ten patients
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content_tags.quantities[1]
quantity58 sites — Number of recording sites showing repetition suppression
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content_tags.quantities[2]
quantity30 sites — Number of recording sites showing repetition enhancement, none of them in VOTC
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content_tags.quantities[3]
quantity10 sites — Number of recording sites showing only a temporal shift in peak activation
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content_tags.quantities[4]
quantity~ 280 ms vs ~ 140 ms — Onset latency of significant repetition suppression in LPFC compared with VOTC
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content_tags.quantities[5]
quantity12–21 — Number of electrodes selected per patient for inclusion in the multivariate autoregressive model
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content_tags.quantities[6]
quantityTen patients — Sample size: epilepsy surgery patients with subdural ECoG who performed the object-naming task
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content_tags.quantities[7]
variableresponse time (dependent)
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content_tags.variables[1]
variablehigh gamma power (dependent)
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content_tags.variables[2]
variableERC (dependent)
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content_tags.variables[3]
variableword frequency (control)
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content_tags.variables[4]
variablebaseline power (control)
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content_tags.variables[5]
definitionrepetition suppression
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content_tags.definitions[0]
definitionbehavioral priming
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content_tags.definitions[1]
definitionevent related causality (ERC)
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content_tags.definitions[2]
definitionpredictive coding
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content_tags.definitions[3]
definitionfacilitation model
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content_tags.definitions[4]
definitionsynchrony model
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content_tags.definitions[5]
Concepts
terms this paper carries, each with the sentence it was cut from — the layer that joins one paper to another. Terms with no quote yet are on CONCEPTS.html.
conceptbehavioral priming — not defined in this paper's own words; the behavioural half of the paradox - faster responses with repetition - and the paper attaches a clinical stake to it: this implicit learning is 'critical for survival but impaired in a variety of neurological disorders, including Alzheimer's disease'
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concepts[0]
conceptrepetition suppression — not defined in this paper's own words; the neural half, pointing the other way, and here it is LOCALISED: ventral occipito-temporal cortex and left prefrontal cortex, measured directly from the cortical surface
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concepts[1]
conceptrepetition enhancement — not defined in this paper's own words; the third effect, and the one the literature's framing does not predict - some sites got MORE active with repetition. Reported against the grain and, at group level, not statistically significant
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concepts[2]
conceptelectrocorticography — not defined in this paper's own words; the reason this paper can adjudicate where reviews could not - electrodes on the cortical surface of epilepsy patients, giving the spatial-temporal precision that noninvasive methods lacked
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concepts[3]
conceptpredictive coding — not defined in this paper's own words; the model the results are taken to support, and the evidence is a TIMING claim rather than a magnitude one: top-down propagation arrives BEFORE the suppression it is supposed to explain
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concepts[4]
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
paired t-test t as written: paired t -test with Bonferroni correction for multiple comparisons
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content_tags.statistics[0]
sign test as written: nonparametric sign test
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content_tags.statistics[1]
false discovery rate correction for multiple comparisons q as written: FDR corrected for multiple comparisons at every time point
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content_tags.statistics[2]
one-tailed t-test t as written: one-sided t-test with FDR correction
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content_tags.statistics[3]
multivariate autoregressive model order selection by Akaike Information Criterion AIC as written: Akaike Information Criterion (AIC)
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content_tags.statistics[4]
confidence interval as written: 95% joint confidence interval
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content_tags.statistics[5]
multitaper spectral estimation as written: multi-taper algorithm from the Chronux toolbox
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content_tags.statistics[6]
penalized spline regression as written: statistical testing (penalized thin-plate spline)
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content_tags.statistics[7]
standard deviation and median absolute deviation MAD as written: standard deviations ... median absolute deviations (MAD)
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content_tags.statistics[8]

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