Evidence map›Paper›PMID 11923436›Full record

Trial reportThe Journal of neuroscience : the official journal of the Society for Neuroscience2002

Neural correlates of encoding space from route and survey perspectives.

Amy L Shelton, John D E Gabrieli

Abstract readClinical Trial
In one paragraph

Trial report in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Amy L SheltonDepartment of Psychology, Stanford University, Stanford, California 94305, USA. ashelton@jhu.edu
John D E Gabrieli

Funding

FUNCTIONAL MAGNETIC RESONANCE IMAGING OF SPATIAL MEMORYF32MH012638 · NIMH · STANFORD UNIVERSITY · PI SHELTON, AMY L · 2000 to 2001
$61k
NIMH NIH HHS F32 MH012638NIMH NIH HHS MH12638
6 · The paper itself

Abstract

The neural mechanisms underlying ground-level spatial navigation have been investigated, but little is known about other kinds of spatial navigation. Functional magnetic resonance imaging was used to identify differences in brain activation for two types of spatial information, information from the ground-level perspective (route) and information from a global perspective (survey). Participants were scanned during the encoding of two different virtual reality environments, one from each perspective. Comparisons of brain activation during route and survey encoding suggested that both types of information recruited a common network of brain areas, but with important differences. Survey encoding recruited a subset of areas recruited by route encoding, but with greater activation in some areas, including inferior temporal cortex and posterior superior parietal cortex. Route encoding, in contrast, recruited regions that were not activated by survey encoding, including medial temporal lobe structures, anterior superior parietal cortex, and postcentral gyrus. These differences in brain activation are associated with differences in memory performance for the two types of spatial information and contribute to specification of brain components of spatial knowledge.

Indexed as

EnvironmentMultimediaUser-Computer InterfaceAdultBehaviorBrainBrain MappingFemaleFixation, OcularHumansMagnetic Resonance ImagingMaleMaze LearningNeuronsPhotic StimulationReaction Time

Identifiers

PMID11923436
PMCPMC6758311

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.