Origins of the brain networks for advanced mathematics in expert mathematicians — TEI-tagged view

Amalric, Dehaene · 2016 · neuroscience · doi:10.1073/pnas.1603205113 · 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 (html); every evidence string verified as an exact substring of that text before merging. Claim type is 'existence' rather than 'mechanism': the paper's headline claim is that a specific non-linguistic network is engaged by, and shared between, advanced maths and number processing, not that maths works because of a stated causal process. The contradicts relation is admissible because the language-origin hypothesis is attributed to a named person (Chomsky) in the article text, unlike almost all other citations, which are numeric. The paper also notes that its one apparent math/language overlap in left BA 44 failed to survive single-subject analysis; that is a result caveat rather than a stated limitation, so it is not listed. 2026-08-13 and 2026-08-15 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.
2 quotations on this page contain a reference number where the paper printed a superscript. This journal style prints citations as raised numerals — parameters12,13 — and the extraction flattened them into the line, so the sentence reads parameters 12 , 13 . The digits are citation markers and not part of what the author wrote. The quotes keep them for the same reason they keep every other extraction fault: a quote is reproduced exactly or it proves nothing.
Other fields define these differently the same word, defined another way in another discipline
immediacy 3 fields · fmri 2 fields · semantic 2 fields · topology 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
mathematicians controls IPS3 IT2 VNFA2 angular gyrus2 multiple demand system meaningless semantic7 calculation2 localizer2 representational similarity analysis3 formulas FFA caudate core knowledge2 topology5 imageability3 fmri24

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
phenomenonhigh-level mathematical reasoning in expert mathematicians— “To evaluate what brain systems underlie higher mathematics, we scanned professional mathematicians and mathematically naive subjects of equal academic standing as they evaluated the truth of advanced mathematical and nonmathematical statements.”
claim-typeexistence— “The evidence suggests that high-level mathematical expertise and basic number sense share common roots in a nonlinguistic brain circuit.”
method — evidence— “We collected fMRIs in 15 professional mathematicians and 15 nonmathematician controls of equal academic standing while participants performed fast semantic judgments on mathematical and nonmathematical statements ( Fig. 1 A ).”
object of study — evidence— “The origins of human abilities for mathematics are debated: Some theories suggest that they are founded upon evolutionarily ancient brain circuits for number and space and others that they are grounded in language competence.”
research question — evidence— “Many mathematicians, however, argue that number concepts are too simple to be representative of advanced mathematics. To address this criticism, here we study the cerebral representation of high-level mathematical concepts in professional mathematicians.”
contribution — evidence— “In professional mathematicians only, mathematical statements, whether in algebra, analysis, topology or geometry, activated a reproducible set of bilateral frontal, Intraparietal, and ventrolateral temporal regions. Crucially, these activations spared areas related to language and to general-knowledge semantics.”
transferfrom reading research: the expertise-driven ventral visual shift toward symbols and away from faces, transposed from literacy to mathematics— “Those results are analogous to previous findings on literacy, showing that the acquisition of expertise in reading shifts the responses of left ventral visual cortex toward letters and away from faces”transfers[0]
transferfrom multivariate pattern analysis: representational similarity, used to test whether math, arithmetic and numeral viewing share an activation topography within each subject— “Second, we used representational similarity analysis to probe whether a similar pattern of activation was evoked, within each subject, by all math-related activities: i.e., mathematical reflection, calculation, and numbers or formula recognition.”transfers[1]
mechanismProlonged exposure to mathematical symbols reshapes ventral visual cortex, amplifying symbol responses and displacing face responses, in the same way reading expertise does for letters— “mathematical expertise leads to a bilateral enhancement of the visual representation of mathematical symbols.”mechanisms[0]
mechanismBecause advanced mathematics and basic arithmetic share the same cortical circuit, early number skills and later mathematical achievement are developmentally linked through that shared substrate— “The fact that these brain areas are jointly involved in higher mathematics and basic arithmetic may explain the bidirectional developmental relationships that have been reported between prelinguistic number skills and later mathematical skills”mechanisms[1]
mechanismexpertise amplifies responses at sites that already respond to numerals and formulas in non-experts, rather than recruiting new territory— “Rather, mathematical judgments were related to an amplification of brain activity at sites that are activated by numbers and formulas in nonmathematicians, with a corresponding reduction in nearby face responses.”mechanisms[2]
mechanismthe ventral visual change mirrors literacy, where learning to read shifts responses toward letters and away from faces— “Those results are analogous to previous findings on literacy, showing that the acquisition of expertise in reading shifts the responses of left ventral visual cortex toward letters and away from faces”mechanisms[3]
mechanismthe enhanced formula response reflects a genuine increase in activated cortical volume, not just tighter anatomical alignment in the expert group— “First, the left inferior temporal activation to written mathematical formulas was significantly enhanced in mathematicians relative to controls (−53 −64 −17, t = 4.27) ( Fig. 8 B ). Single-subject ROI analyses verified that this effect was not simply due to greater variance in anatomical localization in controls compared with mathematicians…mechanisms[4]
mechanismthe caudate shifts its engagement to whichever domain the subject is expert in, consistent with a role in motivation and attention— “First, a group × problem type interaction revealed a striking group difference in the bilateral head of the caudate nucleus ( SI Appendix , Fig. S11 ). This region was active in mathematicians only when they were exposed to math statements and, in control subjects, only when they were exposed to nonmath statements. Thus, the engagement of…mechanisms[5]
mechanismlanguage contributes transiently at the angular gyrus during sentence comprehension, and that area is deactivated during the reflection itself— “However, in mathematicians only, it also showed a greater activation for meaningful than for meaningless math ( SI Appendix , Fig. S12 ). Thus, mathematical expertise enables the left angular gyrus, which is engaged in sentence-level semantic integration ( 35 , 36 ), to extend this function to mathematical statements. Importantly, this…mechanisms[6]
replicates earlier observations of number-sense and number-form areas (cited as references 16, 18, 37)— “Both calculation and simple number processing activated bilateral IPS and IT, thus replicating early observations of number-sense and number-form areas ( Fig. 6 ).”claim_relations[0]
contradicts the hypothesis that mathematics is an offshoot of language syntax, attributed in the article to Noam Chomsky (reference 1)— “Together, those results are inconsistent with the hypothesis that language syntax plays a specific role in the algebraic abilities of expert adults.”claim_relations[1]
contradicts the hypothesis that mathematical capacity is an abstraction from linguistic operations— “According to one hypothesis, mathematics, like other cultural abilities that appeared suddenly with modern humans in the upper Paleolithic, is an offshoot of the human language faculty—for Noam Chomsky, for instance, “the origin of the mathematical capacity [lies in] an abstraction from linguistic operations” ( 1 ). Many mathematicians and…claim_relations[2]
supports the account grounding mathematics in ancient nonlinguistic intuitions of number and space— “The evidence suggests that high-level mathematical expertise and basic number sense share common roots in a nonlinguistic brain circuit.”claim_relations[3]
extends arithmetic imaging work, by answering the objection that number concepts are too simple to represent advanced mathematics— “Many mathematicians, however, argue that number concepts are too simple to be representative of advanced mathematics. To address this criticism, here we study the cerebral representation of high-level mathematical concepts in professional mathematicians.”claim_relations[4]
confirms prior reports of visual number form areas, using a sequence that overcomes the signal loss which made them hard to detect— “The VNFAs were previously difficult to detect with fMRI because they lie close to a zone of fMRI signal loss ( 18 ). However, using a fast high-resolution fMRI sequence that mitigates these difficulties, we found that the VNFAs are easily detectable and are activated bilaterally not only by Arabic numerals, but also by algebraic formulas…claim_relations[5]
qualifies its own language-independence claim, by noting a transient angular gyrus contribution during comprehensionclaim_relations[6]
sensemeaningful versus meaningless is the paper's second, ORTHOGONAL criterion - it holds lexical content constant and so tests the same claim without the math-versus-nonmath comparison
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senses[0]
sensedifficulty here has an objective form (percent correct, matched) and a subjective form (rated, slightly higher for math), and the paper's controls address the second
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senses[1]
sensethe visual number form area is defined by responding to Arabic numerals more than letters or pictures, and was previously hard to detect because it sits near a zone of fMRI signal loss
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senses[2]
sensethe multiple demand system is the rival account: a set of areas active in any hard task, which overlaps the math network and is why difficulty had to be excluded
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senses[3]
senselanguage areas here are defined by an independent localiser in the same subjects, not by anatomy, so the sparing claim is about functionally identified voxels
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senses[4]
controlan eighth stimulus category of circular checkerboards, built so that its retinotopic extent EXCEEDED that of every other category — absent-not-in-staged-text — rules out a difference in retinotopic extent between conditions - the checkerboard is built to exceed every other category, so any area responding to sheer visual extent is exposed rather than counted as mathematical
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controls[0]
outcome (stated by the tagger, no quotation)control — absent-not-in-staged-textcontrols[0]
for which uselimitation — the ventral visual group differences: THESE INTRIGUING DIFFERENCES MUST BE CONSIDERED WITH CAUTION BECAUSE THEIR BEHAVIORAL IMPACT AND CAUSAL LINK TO MATHEMATICAL TRAINING REMAINS PRESENTLY UNKNOWN
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limitations[0]
for which uselimitation — the claim that language areas are not involved: a transient role during acquisition is not excluded, and IMAGING STUDIES OF THE LEARNING PROCESS WOULD BE NEEDED TO RESOLVE THIS POINT
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limitations[1]
for which uselimitation — the between-group comparison but not the within-mathematician one: MATHEMATICIANS AND CONTROLS MAY STILL DIFFER ON DIMENSIONS SUCH AS IQ, MUSICAL TALENT, HOBBIES ... SUCH PUTATIVE DIFFERENCES ARE IRRELEVANT TO OUR MAIN CONCLUSION OF A DISSOCIATION ... WITHIN THE MATHEMATICIANS
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limitations[2]
for which uselimitation — the same scope as limitations[0] - the ventral visual differences are flagged by the authors as needing caution
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limitations[3]
for which uselimitation — the language-overlap result: THIS SMALL OVERLAP WAS PRESENT ONLY IN SMOOTHED GROUP IMAGES AND FAILED TO REACH SIGNIFICANCE IN HIGHER RESOLUTION analyses
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limitations[4]
for which uselimitation — any expertise contrast that uses the control group's maths performance: THEY FELL CLOSE TO CHANCE LEVEL WITH MATH (37% CORRECT, CHANCE LEVEL = 33%) ... COULD NOT IDENTIFY THEIR TRUTH VALUE (d' = 0.38, n.s.)
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limitations[5]
for which uselimitation — the matched-performance argument: OBJECTIVE PERFORMANCE ON NONMATH PROBLEMS DID NOT DIFFER ... their SUBJECTIVE RATINGS ... REVEALED THAT EACH GROUP FELT MORE COMFORTABLE WITH ITS RESPECTIVE EXPERTISE DOMAIN
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limitations[6]
replicationuntested
limitationThe group differences in ventral visual responses (formulas, tools, faces) cannot yet be tied to behaviour or shown to be caused by mathematical training.
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limitations[0]
limitationThe design cannot rule out a transient role of language areas during the acquisition of mathematical concepts; only learning studies could settle it.
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limitations[1]
limitationMathematicians and controls may differ on uncontrolled dimensions such as IQ or musical talent, which the authors argue is irrelevant to the within-group dissociation but is not measured.
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limitations[2]
limitationthe authors flag the ventral visual group differences as needing caution, since their behavioural impact and causal link to mathematical training are unknown
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limitations[3]
limitationa small language-area overlap in left BA44 appeared only in smoothed group images and failed to reach significance in single subjects
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limitations[4]
limitationcontrols were near chance on the mathematical statements, so the expertise interaction rests on a group that could not do the task
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limitations[5]
limitationobjective performance was matched but each group rated its own domain as more comfortable
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limitations[6]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingThe activations evoked by mathematical reflection spared areas related to language and to general-knowledge semantics.
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content_tags.findings[0]
findingThe same math network was engaged by all four tested branches of mathematics and even transiently by meaningless mathematical statements.
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content_tags.findings[1]
findingNon-mathematical general-knowledge reflection recruited a separate anterior temporal and angular gyrus semantic network.
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content_tags.findings[2]
findingA region-of-interest analysis of language areas showed mathematics engaged them no more, and often less, than general semantic reasoning did.
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content_tags.findings[3]
findingThe high-level mathematics network overlapped the parietal and inferior temporal sites activated by simple calculation and by the mere sight of numerals, and this overlap survived removal of statements containing any numerical reference.
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content_tags.findings[4]
findingThe math network was active even during simple mathematical reflection, and its greater activation for math than nonmath held irrespective of task difficulty.
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content_tags.findings[5]
findingMathematical expertise was accompanied by expanded number and formula responses in the left visual number form area.
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content_tags.findings[6]
findingmathematicians performed equally on math and non-math statements, 63% against 65% correct
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content_tags.findings[7]
findingcontrols matched mathematicians on non-math but were near chance on math
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content_tags.findings[8]
findingall four domains of mathematics activated the math-responsive regions, in a significant intersection
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content_tags.findings[9]
findingthe network stayed active for about fifteen seconds after a math statement and deactivated for non-math
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content_tags.findings[10]
findingin controls the math contrast landed on the sites for meaningless statements
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content_tags.findings[11]
findingessentially no intersection between the math and general-knowledge semantic networks, and none in perisylvian language cortex even at a lenient threshold
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content_tags.findings[12]
findinglanguage regions defined by an independent localiser were engaged no more by math than by general reasoning, and often less
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content_tags.findings[13]
findingthe math network overlapped the areas for arithmetic and for merely viewing numerals
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content_tags.findings[14]
findingresponses to written formulas were larger in mathematicians, as extra activated volume rather than tighter alignment
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content_tags.findings[15]
findingface responses were reduced in right inferior temporal cortex in mathematicians
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content_tags.findings[16]
findingthe caudate responded to whichever domain each group was expert in
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content_tags.findings[17]
findingCONFOUND REVERSED: easy math contrasted against difficult non-math still produced the same sites
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content_tags.findings[18]
findingCONTROL NULL: contrasting difficult against easy statements within each domain revealed no significant sites at all
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content_tags.findings[19]
findingORTHOGONAL REPLICATION: the meaningful-versus-meaningless math contrast, which holds words constant, reproduced the whole result
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content_tags.findings[20]
findingCONTENT REANALYSIS: excluding statements with any indirect numerical reference left the activation virtually unchanged
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content_tags.findings[21]
findingHAZARD NAMED ABOUT THEIR OWN RESULT: group-level overlap can arise from intersubject averaging, so the overlap was retested within subjects
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content_tags.findings[22]
findingthe within-subject pattern analyses confirmed that advanced math, arithmetic and numeral viewing share cortical sites in trained individuals
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content_tags.findings[23]
quantity15 and 15 — sample size: professional mathematicians and academically matched humanities controls scanned with fMRI
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content_tags.quantities[0]
quantity63% and 65% correct — mathematicians' accuracy on math and on nonmath statements, showing the two problem types were matched in objective difficulty
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content_tags.quantities[1]
quantity37% correct, chance level = 33%; P = 0.014 — control subjects' accuracy on mathematical statements, barely above chance
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content_tags.quantities[2]
quantity∼15 s — duration for which the fMRI signal stayed elevated in the math network after a mathematical statement
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content_tags.quantities[3]
quantity52.4 ± 3.4 versus 40.0 ± 4.5; t = 2.4, P = 0.03 — mathematicians' subjective difficulty ratings (0–100 scale) for math versus nonmath statements
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content_tags.quantities[4]
quantityt = 4.72 — whole-brain effect size for reduced face responses in right inferior temporal cortex in mathematicians relative to controls
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content_tags.quantities[5]
quantity72 and 18 — number of mathematical statements (18 per domain) and of nonmathematical statements presented in the auditory runs
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content_tags.quantities[6]
quantity15 and 15 — professional mathematicians and non-mathematician controls of equal academic standing
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content_tags.quantities[7]
quantity63% and 65% — mathematicians' accuracy on math and non-math, the basis for calling the two matched in difficulty
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content_tags.quantities[8]
quantity37% against 33% chance — controls' accuracy on mathematical statements
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content_tags.quantities[9]
quantity52.4 against 40.0 — subjective difficulty for math and non-math on a 0-100 scale, the only difficulty difference found
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content_tags.quantities[10]
quantityabout 15 s — how long the math network stayed active after a statement
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content_tags.quantities[11]
variabletask difficulty (control)
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content_tags.variables[6]
variablemeaningless
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content_tags.variables[8]
variableimageability
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content_tags.variables[9]
variabletopology
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content_tags.variables[10]
definitionvisual number form area
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content_tags.definitions[0]
definitionmultiple demand system
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content_tags.definitions[1]
definitionimmediacy
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content_tags.definitions[2]
definitionmultiple demand system
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content_tags.definitions[3]
definitionVNFA
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content_tags.definitions[4]
definitioncore knowledge
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content_tags.definitions[5]
key-termsmathematicians, controls, IPS, IT, VNFA, angular gyrus, multiple demand system, meaningless, calculation, localizer, formulas, FFA
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.
t-test t as written: Student t tests
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content_tags.statistics[0]
ANOVA as written: second-level whole-brain ANOVA with stimulus category as within-subject factor
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content_tags.statistics[1]
F-test F as written: an F-test at the whole-brain level
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content_tags.statistics[2]
signal-detection sensitivity index d′ as written: Mean d′ values
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[3]
correction for multiple comparisons P as written: clusterwise threshold of P < 0.05 corrected for multiple comparisons
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[4]
correlation as written: matrix of correlations between the activations evoked by each of the experimental conditions
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[5]
Student t tests
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[6]
F-test
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[7]
cluster P < 0.05 corrected
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[8]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
methodauditory statement judgement in the scanner with matched non-mathematical statements, plus independent localisers for sentences, calculation and visual categories — a second reading DIFFERING from the recorded value; recorded: fmri
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.method
phenomenonthe cortical network engaged during reflection on advanced mathematical statements — a second reading DIFFERING from the recorded value; recorded: high-level mathematical reasoning in expert mathematicians
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.phenomenon

When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.

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