Neurofunctional topography of the human hippocampus — TEI-tagged view

Robinson, Barron, Kirby, Bottenhorn, Hill, Murphy, Katz, Salibi · 2015 · neuroscience · doi:10.1002/hbm.22987 · 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. The supplied text begins with PMC site boilerplate and the full author/affiliation block; all quotes above are taken from the Abstract, Introduction, Methods, Results or Discussion, never from that header. The source uses U+2010 hyphens ('long‐axis', 'meta‐analytic', 'coactivation‐based') and these are preserved exactly. method is recorded as 'meta-analysis' because coactivation-based parcellation over BrainMap drives the parcellation, but the paper is genuinely multimodal - 7 T resting-state fMRI (n=23) and DTI (n=31) validate the clusters - and one method value cannot express that. The paper's partial DISagreement with the HERNET model ('we find less support for the notion that the anterior hippocampus recruits the dorsal attention network') was not recorded as a 'contradicts' relation because that sentence does not itself name the model or its author; the two 'extends' relations to Moser and Moser and to Kim cover the qualified-agreement stance. Replication status is 'untested' because the paper presents this as the first such model, notwithstanding its stated concordance with prior theories. 2026-08-13 schema-0.3 pass: 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.
This record’s own method is meta-analysis, and the tags below follow from that. A review’s findings, quantities and statistics are things stated IN this paper, and some of them report results obtained elsewhere. No tag on this page names a different author. Measured across every review in this corpus, 81% of a review’s tags carry no citation at all — most of them are the review speaking. The corpus does not adjudicate the rest: read an unmarked tag as a claim this paper makes, not necessarily one it made first.
Other fields define these differently the same word, defined another way in another discipline
memory 23 fields · meta-analysis 4 fields · clustering 3 fields · functional connectivity 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
hippocampus29 topography2 segmentation8 gradient4 clusters clustering12 voxel2 ROI3 thresholded probability7 coactivation BrainMap experiments3 activation9 behavioral domain paradigm class taxonomic label forward inference2 reverse inference5 binomial test13 ALE3 CBP filters2 deviants cluster size resting state3 DTI2 seed masks target masks functional connectivity8 structural connectivity2 lateralization3 anterior posterior4 amygdala10 parahippocampal gyrus2 occipital precuneus4 emotional perceptual3 encoding6 memory16 case study H.M. subiculum3 meta-analysis20

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
phenomenonlong-axis functional topography of the hippocampus— “One of the more predominant theories of functional differentiation within the hippocampus is a long‐axis segmentation.”
claim-typeexistence— “Data revealed strong support for an evolutionarily preserved topography along the long‐axis.”
method — evidence— “In a robust and unbiased methodological approach, we used coactivation‐based parcellation (CBP) [Cieslik et al., 2013 ; Clos et al., 2013 ; Eickhoff et al., 2011 ], a meta‐analytic technique, to elucidate the functional cluster profile of the left and right hippocampus.”
object of study — evidence— “Much of what was assumed about the functional topography of the hippocampus was derived from a single case study over half a century ago. Given advances in the imaging sciences, a new era of discovery is underway, with potential to transform the understanding of healthy processing as well as the ability to treat disorders. Coactivation‐based…
research question — evidence— “In fact, to our knowledge, no study has performed a comprehensive, data‐driven examination of the human hippocampus, inclusive of identifying and characterizing neurofunctional subfields, despite the plethora of theories involving differentiation of the structure across species.”
contribution — evidence— “The right hippocampal segmentation was more ambiguous, with plausible 2‐ and 5‐cluster solutions. Segmentations shared connectivity with brain regions known to support the correlated processes. This represented the first neurofunctional topographic model of the hippocampus using a robust, bias”
transferfrom meta-analysis of published coordinates: activation likelihood estimation against a null of random spatial association, used here to characterise each cluster rather than to test a hypothesis— “This was computed by creating activation likelihood estimation (ALE) maps for each of the clusters, which compared the ALE scores to a null‐distribution reflecting random spatial associations between experiments with a fixed within‐experiment distribution of foci, yielding a P ‐value based on the proportion of equal or higher random values…transfers[0]
transferfrom database curation: behavioral domain, paradigm class and subject population coded alongside the stereotactic coordinates of every archived study— “BrainMap archives functional neuroimaging studies by coding statistically significant results, in the form of stereotactic coordinates, with associated meta‐data such as behavioral domain, paradigm class, and subject population”transfers[1]
transferfrom unsupervised machine learning: clustering that separates the voxels in the ROI into k clusters by minimizing the variance within clusters and maximizing the variance between clusters— “K ‐means clustering is a non‐hierarchical clustering method that uses an iterative algorithm to separate the voxels in the ROI into k non‐overlapping clusters [Forgy, 1965 ; Hartigan and Wong, 1979 ], by minimizing the variance within clusters and maximizing the variance between clusters. To do this, the algorithm computes the centroid of…transfers[2]
transferfrom rodent neuroanatomy: the dorsal to ventral axis and its hot and cold processing division, mapped onto the human posterior to anterior axis— “Furthermore, they speculated that the ventral (anterior in humans) portion was more engaged in limbic processes (i.e., “hot” processing), and the dorsal (posterior in humans) was preferentially activated during tasks such as spatial navigation, or learned associations (i.e., “cold” processes).”transfers[3]
mechanismeach hippocampal segment inherits its functional repertoire from the set of regions it is structurally and functionally wired to, so a segment connected to limbic, prefrontal, temporal and parietal cortex can carry out a correspondingly diverse set of cognitive processes— “These data suggest that these clusters are well suited to carry out a diverse set of cognitive processes given their anatomical and structural connectivity to not only the limbic system, but also regions of the prefrontal, temporal, and parietal cortices.”mechanisms[0]
mechanismthe parcellation inherits the composition of its input database, and because BrainMap over-represents cognition-based studies the right hippocampus is left without a clean cluster solution— “First, the data are reliant on the BrainMap database, which heavily favors cognition‐based functional neuroimaging studies.”mechanisms[1]
mechanismthe anterior portion is proposed to handle limbic or hot processing and the posterior spatial navigation and learned associations, a division carried over from rodent dorsal and ventral axes— “Furthermore, they speculated that the ventral (anterior in humans) portion was more engaged in limbic processes (i.e., “hot” processing), and the dorsal (posterior in humans) was preferentially activated during tasks such as spatial navigation, or learned associations (i.e., “cold” processes).”mechanisms[2]
mechanismthe right hippocampus may be functionally heterogeneous, which is offered as the reason its cluster solution is less stable— “Our investigation supports lateralization differences given the different clustering profiles between the left and right hippocampus. The right hippocampus appears to be more functionally heterogeneous, as suggested by the post‐hoc functional decoding. This is likely also the reason for the less stable cluster solution.”mechanisms[3]
mechanismor the right hippocampus may not be organised by behavioural or stimulus features at all, so that its topography is a gradient rather than a set of parts— “Alternatively, the right hippocampus may not function under rigorous behavioral or stimulus specific features, thus the topography is less concrete, and may have a more gradient”mechanisms[4]
mechanismposterior segments connect to the posterior cingulate, a default mode hub, which is read as support for an internal attention account— “Specifically, with regard to the latter, our study revealed that the posterior portions of the hippocampus have interhemispheric connectivity leading to the posterior cingulate cortex, a pivotal hub of the default mode network. Kim ( 2015 ) posits that the posterior portions of the hippocampus, when activated, also recruit the default mode…mechanisms[5]
replicates Fanselow and Dong (2010); King et al. (2008)— “We identified neurofunctional topography of the left hippocampus, comprised of three anterior to posterior segmentations, consistent with previous research [Fanselow and Dong, 2010 ; King et al., 2008 ].”claim_relations[0]
extends Moser and Moser (1998) model and the HERNET model— “Finally, our data are in partial concordance with the Moser and Moser ( 1998 ) model as well as the HERNET model.”claim_relations[1]
extends Kim (2015) HERNET model— “Kim ( 2015 ) posits that the posterior portions of the hippocampus, when activated, also recruit the default mode network as they are partially mediated by an internal attention network, with our DTI findings providing supportive evidence of this relationship.”claim_relations[2]
extends Moser and Moser's dorsal to ventral hippocampal gradient, imported from rodent connectivity and behaviour— “Furthermore, they speculated that the ventral (anterior in humans) portion was more engaged in limbic processes (i.e., “hot” processing), and the dorsal (posterior in humans) was preferentially activated during tasks such as spatial navigation, or learned associations (i.e., “cold” processes).”claim_relations[3]
qualifies that same model, by finding hot and cold processing along the axis but also cold processing anteriorly on the right— “With regard to the Moser and Moser ( 1998 ) model, we find support for “hot” and “cold” processing along the anterior–posterior axis, but we also show that the anterior portions, particularly in the right hemisphere, appear to be engaged in “cold” processes as well.”claim_relations[4]
qualifies Kim's hippocampal encoding and retrieval network model, supporting its posterior default mode claim and not its anterior dorsal attention claim— “Specifically, with regard to the latter, our study revealed that the posterior portions of the hippocampus have interhemispheric connectivity leading to the posterior cingulate cortex, a pivotal hub of the default mode network. Kim ( 2015 ) posits that the posterior portions of the hippocampus, when activated, also recruit the default mode…claim_relations[5]
critiques the single-paradigm designs that dominate the field, which cannot say whether other neurocognitive processes use the same subregions— “Together, these results support the fundamental argument that the hippocampus maintains a neurofunctional topographical organization, but they do not address the question of whether other neurocognitive processes utilize these subregions, as all of the…claim_relations[6]
critiques the inferential base of the field itself - non-human data, case studies, and narrowly focused cognitive experimentsclaim_relations[7]
supports Chase and colleagues' five-cluster parcellation of the subiculum by nearly identical methodology
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claim_relations[8]
senseTHE NUMBER OF PARTS IS A CHOICE, AND THE CRITERIA DISAGREE: misclassified voxels favour 2 to 4 on the left and 2, 3 or 5 on the right; minimum-to-mean cluster size favours 2 and 3 for both; intercluster distance favours 3 on the left and 2 or 5 on the right
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senses[0]
senseand the reported answer is a combination of them - three parts on the left, five on the right - so how many objects the hippocampus contains is a product of how the criteria were weighed
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senses[1]
senseTWO PARCELLATIONS OF THE SAME STRUCTURE ARE CARRIED THROUGH THE WHOLE PAPER: the five-cluster right solution is called marginally better than the two-cluster one, and both get their own connectivity analyses
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senses[2]
senseTHE METHOD CAN ONLY RETURN PARTS: k-means assigns every voxel to one of k non-overlapping clusters, so a structure organised as a gradient would still come back as clusters
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senses[3]
senseand the paper says exactly that - segmentation into distinct clusters is a definitional choice, a gradient is plausible and likely, and the method cannot account for it
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senses[4]
senseTHE OBJECT IS DEFINED BY A THRESHOLD ON A PROBABILITY MAP: the region of interest is an atlas thresholded at 75 percent, chosen to be conservative and to be easy to describe to other researchers
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senses[5]
senseTHE SAME TAGS ARE READ IN BOTH DIRECTIONS: forward inference asks whether a label is more likely to activate this cluster than the database at large, reverse inference asks which label is most likely given activation here
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senses[6]
senseAND THE CORPUS'S SKEW BECOMES THE ANSWER'S SKEW: the database favours cognition studies, which the paper says is representative of the field, and offers that imbalance as a reason the right hippocampus yielded no clean solution
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senses[7]
senseTHE FOUNDATIONAL RECORD WAS WRONG: half a century of assumptions rest on one patient whose lesion, when finally imaged, did not match the surgical account of it
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senses[8]
sensea result that did not survive correction is reported anyway, labelled, and interpreted with caution rather than dropped
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senses[9]
controlthe resting-state and DTI analyses run twice, with and without the left-handed participants — held — rules out handedness driving a lateralised functional or structural result
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controls[0]
differs inthe single-paradigm designs that dominate the field, which cannot say whether other neurocognitive processes use the same subregions — THE AXIS IS THE NUMBER OF TASKS PER STUDY. 'these results support the fundamental argument that the hippocampus maintains a neurofunctional topographical organization, but they do not address the question of whether other neurocognitive processes utilize these subregions, as all of the aforementioned studies used A SINGLE [task].' The topography is granted and the specificity is not - and no accumulation of single-task studies can supply it, so the missing result is not a matter of more evidence.
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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.
claim_relations[6]
auditclusters —distinct-from→ gradient — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but a gradient component is 'plausible, and likely' beside the clusters; distinct-from is loose.
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concept_edges[0]
noteclusters —distinct-from→ gradient — THE OUTPUT TYPE IS A PROPERTY OF THE METHOD: defining the topography as distinct clusters is called a theoretical choice, and a gradient is called plausible and likely and beyond what the method can represent
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concept_edges[0]
auditbehavioral domain —distinct-from→ paradigm class — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the two are listed as separate metadata fields; distinct-from is loose.
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concept_edges[11]
auditforward inference —operationalised-as→ taxonomic label — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the forward-inference profile is computed from activation probabilities per taxonomic label; operationalised-as is loose.
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concept_edges[13]
noteforward inference —operationalised-as→ taxonomic label — THE SAME TAG READ IN ONE DIRECTION: is activation more probable for this label inside the cluster than across the whole database
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concept_edges[13]
auditforward inference —operationalised-as→ binomial test — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but a binomial test was USED WITHIN the forward-inference approach to judge significance; operationalised-as is loose.
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concept_edges[14]
auditreverse inference —operationalised-as→ behavioral domain — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the reverse-inference profile identifies the most likely behavioral domain; operationalised-as is loose.
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concept_edges[15]
notereverse inference —operationalised-as→ behavioral domain — AND IN THE OTHER: which label is most likely given activation here - the two questions are not the same and both are reported
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concept_edges[15]
noteseed masks —distinct-from→ target masks — each cluster against 110 atlas regions, themselves thresholded at 50 percent - a second layer of cuts underneath the first
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concept_edges[19]
auditanterior —contrasted-with→ posterior — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the contrast is what earlier authors 'speculated' about ventral and dorsal portions; attributed and hedged.
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concept_edges[26]
noteanterior —contrasted-with→ posterior — the hot and cold division, carried across from the rodent ventral and dorsal poles
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concept_edges[26]
noteH.M. —is-a→ case study — THE FOUNDATIONAL RECORD WAS WRONG: imaging in the 1990s revealed discrepancies in the neurosurgical account of the lesion, confirmed after death
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concept_edges[32]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
for which uselimitation — the right hippocampal segmentation specifically: THE NEED FOR ADDITIONAL DATA TO FULLY PARSE THE SEGMENTATION OF THE RIGHT HIPPOCAMPUS
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limitations[0]
for which uselimitation — the right-hemisphere behavioural associations only: THESE FUNCTIONS DID NOT SURVIVE FDR CORRECTION, THUS THE RIGHT BEHAVIORAL SUBSTRATES ARE INTERPRETED WITH CAUTION
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limitations[1]
for which uselimitation — the functional coverage of the parcellation: THE DATA ARE RELIANT ON THE BRAINMAP DATABASE, WHICH HEAVILY FAVORS COGNITION-BASED FUNCTIONAL NEUROIMAGING STUDIES
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limitations[2]
for which uselimitation — the connectivity results: ADDITIONAL SUBJECTS MAY HELP TO STRENGTHEN OUR UNDERSTANDING OF THE CONNECTIVITY OF THE TOPOGRAPHICAL SEGMENTS
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limitations[3]
for which uselimitation — any claim that the organisation is discrete: THERE IS A GRADIENT COMPONENT TO PROCESSING WITHIN THE HIPPOCAMPUS THAT OUR CURRENT METHOD CANNOT ACCOUNT FOR
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limitations[4]
for which uselimitation — the same scope as limitations[4] - the segmentation is DEFINED IN TERMS OF DISTINCT CLUSTERS, and a gradient is called PLAUSIBLE, AND LIKELY
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limitations[5]
duplicate oflimitation — limitations[1]
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limitations[6]
for which uselimitation — the same scope as limitations[1] - the right behavioural substrates, uncorrected
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limitations[6]
for which uselimitation — the same scope as limitations[2], with the paper's own defence: WHILE THIS IS REPRESENTATIVE OF THE FIELD AS A WHOLE, HAVING A MORE BALANCED database would change what can be found
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limitations[7]
for which uselimitation — the right hemisphere's ambiguous results, and the subiculum finding in particular: TWO AVENUES OF ADDITIONAL WORK ARE NECESSARY TO UNCOVER THE RIGHT HEMISPHERE'S AMBIGUOUS RESULTS, PARTICULARLY IN LIGHT OF THE SUBFIELD (I.E., SUBICULUM) FINDING
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limitations[8]
for which uselimitation — the choice between the two right-hippocampus solutions: WE PRESENTED BOTH A 5-CLUSTER AND A 2-CLUSTER SOLUTION, AS THE 5-CLUSTER SOLUTION WAS DEEMED TO BE MARGINALLY BETTER
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limitations[9]
for which uselimitation — the imaging validation: TWENTY-THREE HEALTHY INDIVIDUALS were scanned for resting state, with a separate diffusion sample
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limitations[10]
replicationuntested
limitationThe right hippocampal parcellation is underdetermined and needs more data to settle between the 5- and 2-cluster solutions.
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limitations[0]
limitationThe right-hemisphere behavioural associations did not survive FDR correction.
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limitations[1]
limitationThe parcellation inherits the BrainMap database's bias toward cognition-based studies.
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limitations[2]
limitationThe 7 T sample is small and more subjects would strengthen the connectivity results.
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limitations[3]
limitationThe method forces discrete clusters and cannot represent a gradient organisation.
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limitations[4]
limitationsegmentation is defined in terms of distinct clusters, and a gradient component is called plausible and likely and beyond what the current method can account for
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limitations[5]
limitationthe right hippocampal behavioural associations did not survive correction and are explicitly interpreted with caution
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limitations[6]
limitationthe database heavily favours cognition studies, which is representative of the field but may itself be why no obvious right hippocampal solution emerged
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limitations[7]
limitationuncovering the right hemisphere's ambiguous results is said to need increasing the number of papers in the BrainMap database, and submillimeter fMRI specifically targeting the hippocampus
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limitations[8]
limitationwhich of the two right hippocampal solutions is correct is left open until the database grows
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limitations[9]
limitationthe imaging validation rests on 23 resting-state and 31 diffusion participants
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limitations[10]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingThe left hippocampus divides into three anterior-to-posterior clusters: an emotional cluster tied to amygdala and parahippocampal gyrus, a cognitive cluster tied to anterior cingulate and inferior frontal gyrus, and a posterior perceptual cluster tied to occipital lobe, precuneus and angular gyrus.
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content_tags.findings[0]
findingThe right hippocampus does not yield one clear parcellation: both a 2-cluster and a 5-cluster solution remain plausible.
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content_tags.findings[1]
findingThe anterior-most left cluster was behaviourally characterised by face monitoring/discrimination, cued explicit recall and encoding.
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content_tags.findings[2]
findingThe middle left cluster was characterised by paired associate recall, cued explicit recognition and encoding.
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content_tags.findings[3]
findingThe behavioural labels attached to the right-hippocampal clusters failed FDR correction, so they are reported only with caution.
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content_tags.findings[4]
findingDiffusion tractography showed the posterior left cluster connecting to the occipital lobe, specifically lingual gyrus and occipital pole, alongside parahippocampal, posterior cingulate and amygdala connections.
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content_tags.findings[5]
findingInterhemispheric structural connections increase toward the posterior end of both left and right hippocampus.
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content_tags.findings[6]
findingLeft and right hippocampus produce different clustering profiles, which the authors read as evidence of hemispheric lateralization.
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content_tags.findings[7]
findingThe data support a hot-to-cold anterior-posterior gradient but depart from it in one respect: anterior right-hemisphere portions are also engaged in "cold" processing.
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.findings[8]
findingthe left hippocampus divided into three segments running anterior to posterior, associated with faces and recall, with paired associate recall and recognition, and with perception
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.findings[9]
findingthe right hippocampus divided into five regions, less well defined behaviourally than the left
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content_tags.findings[10]
findingAND THOSE RIGHT-SIDE LABELS DID NOT SURVIVE CORRECTION, which the paper states and then interprets with caution rather than dropping them
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content_tags.findings[11]
findingan alternative to the 5‐cluster model is a 2‐cluster solution, found to be slightly less favorable, with an anterior and a posterior segment
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content_tags.findings[12]
findingBOTH SOLUTIONS ARE PRESENTED: the 5‐cluster solution was deemed marginally better than the 2‐cluster solution, and which is ideal may become clearer as more data is added to the database
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.findings[13]
findingTHE CRITERIA FOR HOW MANY CLUSTERS DISAGREE WITH EACH OTHER: deviant percentage, minimum-to-mean cluster size and intercluster distance each favour a different set of solutions
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.findings[14]
findingand the reported answer is their combination - three on the left, five on the right
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content_tags.findings[15]
findingthe criteria are stated as rules in advance: the percentage of deviants not significantly increased compared with the k − 1 solution, the minimum cluster size more than half of the average cluster size, and no significantly larger increase in intercluster to intracluster distance
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.findings[16]
findingclustering separates the voxels in the ROI into k non‐overlapping clusters, minimizing the variance within clusters and maximizing the variance between clusters, with centroids chosen at random for each new iteration
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content_tags.findings[17]
findingk values from 2 to 7 were computed for each region before any selection
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content_tags.findings[18]
findingTHE METHOD CANNOT REPRESENT A GRADIENT, and the paper says a gradient is plausible and likely
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content_tags.findings[19]
findingand offers the same ambiguity a second reading - the right hippocampus may simply not be organised by behavioural or stimulus features
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content_tags.findings[20]
findingthe region of interest is an atlas thresholded at 75 percent, described as conservative and as easy to communicate
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content_tags.findings[21]
findingwith mean membership probability of 86 to 88 percent and centroids above 97 percent
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content_tags.findings[22]
findingthe database holds 2,630 papers, 12,623 experiments, 100 paradigm classes and 52,289 subjects
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.findings[23]
findingand stores each paper as significant coordinates plus coded metadata - behavioral domain, paradigm class and subject population
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content_tags.findings[24]
findingonly healthy normal-mapping experiments were used, with no restriction by domain or paradigm, to keep the model unconstrained
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content_tags.findings[25]
findingNO SINGLE VOXEL HAS ENOUGH STUDIES, so each borrows the nearest reported activations by Euclidian distance and its profile is a neighbourhood rather than a measurement
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content_tags.findings[26]
findingthe number of nearest experiments was swept from 20 to 200 in steps of 5, and stable ranges chosen by fewest deviant voxels
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content_tags.findings[27]
findingFORWARD INFERENCE asks whether a label is more likely to activate inside the cluster than across the database, tested binomially
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content_tags.findings[28]
findingREVERSE INFERENCE asks which label is most likely given activation in the cluster, tested by chi square
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content_tags.findings[29]
findingcluster profiles were built by activation likelihood estimation against a null of random spatial association, corrected family-wise
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content_tags.findings[30]
findingTHE DATABASE'S SKEW IS OFFERED AS AN EXPLANATION OF THE RESULT: it heavily favours cognition studies, which is representative of the field, and may be why no obvious right hippocampal solution emerged
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content_tags.findings[31]
findingand the two avenues named are increasing the number of papers in the BrainMap database, and submillimeter fMRI specifically targeting the hippocampus
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content_tags.findings[32]
findingTHE FIELD'S FOUNDATIONAL RECORD WAS WRONG: imaging decades later revealed discrepancies in the surgical account of H.M.'s lesion, confirmed after his death
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content_tags.findings[33]
findingand the field's inferences are said to rest on non-human data, case studies, and single-process experiments
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.findings[34]
findingprior parcellation work used one paradigm at a time, so it could not say whether other processes use the same subregions
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.findings[35]
findingleft anterior clusters connected structurally to the amygdala, thalamus and parahippocampal gyrus, with brainstem connections in most of the sample
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.findings[36]
findingthe posterior left cluster reached the lingual gyrus and occipital pole and lacked the sub-lobar connections of the others
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.findings[37]
findingthe fourth right cluster had the most diverse connectivity of all, which is used to argue for adding studies rather than for a functional claim
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.findings[38]
findinginterhemispheric connections increased toward the posterior end on both sides
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.findings[39]
findingtracts were kept only where present in more than 15 percent of the sample with connection probability above 10 percent
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.findings[40]
findingeach cluster was scored against 110 atlas target masks thresholded at 50 percent
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.findings[41]
findinganatomical labels come from the Talairach Demon applied to the coordinates
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.findings[42]
evidence status notefinding — This quote ends with the stray word 'For', the first word of the next sentence. It is not trimmed, because the quote without it occurs more than once in the paper's text and could not be tied to one place. The claim is carried by the sentence before 'For'.content_tags.findings[42]
findingtwenty-three healthy individuals were scanned with a resting-state EPI sequence optimised for the hippocampus
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.findings[43]
findingpartial concordance with the hot and cold model: the axis holds, but anterior right clusters also carry cold processes
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.findings[44]
findingposterior clusters connect to the posterior cingulate, supporting the default mode half of the encoding-retrieval model and not its anterior half
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.findings[45]
findinga companion study parcellating only the subiculum with nearly identical methods also found five clusters
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.findings[46]
findingvery few studies address lateralization in this literature, though most have theorized that the right hippocampus is engaged in spatial processing and the left attuned to verbal information
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.findings[47]
quantity2,630 papers, 12,623 experiments, 100 paradigm classes, 52,289 subjects — size of the BrainMap database at the time of the analysis
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.quantities[0]
quantity1,880 mm 3 / 2,072 mm 3 — volumes of the left and right hippocampal regions of interest
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.quantities[1]
quantityTwenty-three — number of healthy participants scanned for the 7T resting-state 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.
content_tags.quantities[2]
quantity31 — number of healthy participants scanned for the diffusion tensor imaging
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.quantities[3]
quantity1,000 iterations — number of K-means restarts used to search for the optimal clustering solution
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.quantities[4]
quantity15% / 10% — tractography thresholds: paths present in more than 15% of the sample and tracts with connection probability above 10%
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.quantities[5]
quantity75% — the atlas probability at which the hippocampal region of interest was cut out, which is what fixes the object's boundary
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.quantities[6]
quantity2,630 papers — the database behind every data point here: 12,623 experiments, 100 paradigm classes and 52,289 subjects
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.quantities[7]
quantity20 through 200 — nearest experiments per voxel, swept in steps of 5, with the stable range chosen by fewest deviant voxels
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.quantities[8]
quantity2 through 7 — the cluster counts computed for each region before any criterion was applied
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.quantities[9]
quantity3, and for the right, 5 — the cluster counts finally reported, arrived at by combining criteria that individually favoured different numbers
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.quantities[10]
quantity15% — the share of the sample in which a tract had to be present to be kept, alongside a 10 percent connection probability
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.quantities[11]
quantity110 total masks — atlas targets, themselves thresholded at 50 percent, that the tractography is sorted into
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.quantities[12]
variablenumber of experiments (independent)
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.variables[1]
variablepercentage of misclassified voxels (dependent)
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.variables[2]
variableanatomical connectivity (dependent)
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.variables[4]
variabledeviants
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.variables[7]
variablecluster size
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.variables[8]
variableprobability
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.variables[9]
variablefunctional connectivity
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.variables[10]
variablestructural connectivity
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.variables[11]
definitioncoactivation-based parcellation (CBP)
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content_tags.definitions[0]
definitionmeta-analytic connectivity mapping (MACM)
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content_tags.definitions[2]
definitionforward inference
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content_tags.definitions[3]
definitionreverse inference
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content_tags.definitions[4]
definitionclustering
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content_tags.definitions[7]
definitionBrainMap
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.definitions[8]
definitionforward inference
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.definitions[9]
definitionreverse inference
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.definitions[10]
definitionALE
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.definitions[11]
definitiondeviants
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.definitions[12]
key-termshippocampus, topography, segmentation, gradient, clusters, clustering, voxel, ROI, thresholded, probability, coactivation, BrainMap, experiments, activation, behavioral domain, paradigm class, taxonomic label, forward inference, reverse inference, binomial test, ALE, CBP, filters, deviants, cluster size, resting state, DTI, seed masks, target masks, functional connectivity, structural connectivity, lateralization, anterior, posterior, amygdala, parahippocampal gyrus, occipital, precuneus, emotional, perceptual, encoding, memory, case study, H.M., subiculum
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.
binomial test as written: using a binomial test
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content_tags.statistics[0]
chi-squared χ2 as written: Significance was assessed using χ 2
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content_tags.statistics[1]
z-score z as written: converted the non‐parametric P ‐values to z ‐scores
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content_tags.statistics[2]
false discovery rate correction P as written: thresholded at FDR‐corrected P
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content_tags.statistics[3]
k-means clustering K as written: K ‐means clustering was then performed
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content_tags.statistics[4]
permutation / null-distribution test P as written: compared the ALE scores to a null‐distribution reflecting random spatial associations between experiments
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]
binomial 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[6]
χ 2
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]
FDR correction
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]
activation likelihood estimation
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[9]
z ‐scores
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[10]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
claim typeexistence — a second reading reaching the same value; recorded: existence
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.claim_type
methodcoactivation-based parcellation of every voxel in the hippocampal region of interest using the BrainMap database, k-means over the coactivation profiles, then activation likelihood estimation, forward and reverse functional decoding, resting-state connectivity and diffusion tractography — a second reading DIFFERING from the recorded value; recorded: meta-analysis
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
phenomenona functional gradient along the long axis of the hippocampus, with limbic processing anteriorly and perceptual or spatial processing posteriorly — a second reading DIFFERING from the recorded value; recorded: long-axis functional topography of the hippocampus
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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