Evidence map›Paper›PMID 16284751›Full record

Trial reportExperimental brain research2005

Blood oxygenation level dependent contrast resting state networks are relevant to functional activity in the neocortical sensorimotor system.

Marilena De Luca, Stephen Smith, Nicola De Stefano, Antonio Federico, Paul M Matthews

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Experimental brain research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

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

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32 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

5 authors.

Marilena De LucaJohn Radcliffe Hospital, Functional Magnetic Resonance Imaging Centre of the Brain (FMRIB), Department of Clinical Neurology, University of Oxford, Headley Way, Headington, Oxford, UK OX3 9DU, UK. marilena@fmrib.ox.ac.uk
Stephen Smith
Nicola De Stefano
Antonio Federico
Paul M Matthews

Funding

Medical Research Council G9409531Medical Research Council G9901399
6 · The paper itself

Abstract

The relevance of correlations between blood oxygenation level dependent (BOLD) signal changes across the brain acquired at rest (resting state networks, or RSN) to functional networks was tested using two quantitative criteria: (1) the localisation of major RSN correlation clusters and the task-related maxima defined in BOLD fMRI signal changes from the same subjects; and (2) the relative hemispheric lateralisation (LI) of BOLD fMRI signal changes in sensorimotor cortex. RSN were defined on the basis of signal changes correlated with that of a "seed" voxel in the primary sensorimotor cortex. We found a generally close spatial correspondence between clusters of correlated BOLD signal change in RSN and activation maxima associated with hand movement. Conventional BOLD fMRI during active hand movement showed the expected wide variation in relative hemispheric lateralisation of LI for sensorimotor cortex across the subjects. There was a good correlation between LIs for the active hand movement task and the RSN (r=0.74, p<0.001). The RSN thus define anatomically relevant regions of motor cortex and change with functionally relevant variations in hemispheric lateralisation of sensorimotor cortical interactions with hand movement.

Indexed as

AdultData Interpretation, StatisticalFemaleFunctional LateralityHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMultiple Sclerosis, Relapsing-RemittingNeocortexNerve NetOxygenSignal TransductionSomatosensory CortexOxygen

Identifiers

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.