Evidence map›Paper›PMID 17616584›Full record

Trial reportProceedings of the National Academy of Sciences of the United States of America2007

Retinotopic mapping of adult human visual cortex with high-density diffuse optical tomography.

Benjamin W Zeff, Brian R White, Hamid Dehghani, Bradley L Schlaggar, Joseph P Culver

Abstract readClinical Trial
In one paragraph

Trial report in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed
–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

175 citing papers in PubMed.

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115 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.

Benjamin W ZeffDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Brian R White
Hamid Dehghani
Bradley L Schlaggar
Joseph P Culver

Funding

Continuous DOT Imaging of Hemodynamics During StrokeK25NS044339 · NINDS · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2002 to 2006
$731k
Full Head, High Density Functional Diffuse Optical TomographyR21EB007924 · NIBIB · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2007 to 2008
$388k
NIBIB NIH HHS R21 EB007924NIBIB NIH HHS R21EB7924NINDS NIH HHS K25 NS044339NINDS NIH HHS K25NS4339
6 · The paper itself

Abstract

Functional neuroimaging is a vital element of neuroscience and cognitive research and, increasingly, is an important clinical tool. Diffuse optical imaging is an emerging, noninvasive technique with unique portability and hemodynamic contrast capabilities for mapping brain function in young subjects and subjects in enriched or clinical environments. We have developed a high-performance, high-density diffuse optical tomography (DOT) system that overcomes previous limitations and enables superior image quality. We show herein the utility of the DOT system by presenting functional hemodynamic maps of the adult human visual cortex. The functional brain images have a high contrast-to-noise ratio, allowing visualization of individual activations and highly repeatable mapping within and across subjects. With the improved spatial resolution and localization, we were able to image functional responses of 1.7 cm in extent and shifts of <1 cm. Cortical maps of angle and eccentricity in the visual field are consistent with retinotopic studies using functional MRI and positron-emission tomography. These results demonstrate that high-density DOT is a practical and powerful tool for mapping function in the human cortex.

Indexed as

AdultBrain MappingFemaleHumansMaleTomography, OpticalVisual Cortex

Identifiers

PMID17616584
PMCPMC1924577

What OpenQuestion holds

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Registered trials

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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.