Evidence map›Paper›PMID 30714047›Full record

ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2018

rfDemons: Resting fMRI-based Cortical Surface Registration using the BrainSync Transform.

Anand A Joshi, Jian Li, Minqi Chong, Haleh Akrami, Richard M Leahy

Open access · greenAbstract read
In one paragraph

Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Anand A JoshiUniversity of Southern California, Los Angeles, CA, USA.
Jian LiUniversity of Southern California, Los Angeles, CA, USA.
Minqi ChongUniversity of Southern California, Los Angeles, CA, USA.
Haleh AkramiUniversity of Southern California, Los Angeles, CA, USA.
Richard M LeahyUniversity of Southern California, Los Angeles, CA, USA.
University of Southern California · US

Funding

Interactive software for semiautomated analysis of structural brain imagesR01NS074980 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEAHY, RICHARD M, SHATTUCK, DAVID W · 2011 to 2021
$5.0M
A Brain Atlas for Mapping Connectivity in Focal EpilepsyR01NS089212 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI LEAHY, RICHARD M, MOSHER, JOHN COMPTON · 2015 to 2019
$2.7M
NINDS NIH HHS R01 NS074980NINDS NIH HHS R01 NS089212
6 · The paper itself

Abstract

Cross subject functional studies of cerebral cortex require cortical registration that aligns functional brain regions. While cortical folding patterns are approximate indicators of the underlying cytoarchitecture, coregistration based on these features alone does not accurately align functional regions in cerebral cortex. This paper presents a method for cortical surface registration (rfDemons) based on resting fMRI (rfMRI) data that uses curvature-based anatomical registration as an initialization. In contrast to existing techniques that use connectivity-based features derived from rfMRI, the proposed method uses 'synchronized' resting rfMRI time series directly. The synchronization of rfMRI data is performed using the BrainSync transform which applies an orthogonal transform to the rfMRI time series to temporally align them across subjects. The rfDemons method was applied to rfMRI from the Human Connectome Project and evaluated using task fMRI data to explore the impact of cortical registration performed using resting fMRI data on functional alignment of the cerebral cortex.

Indexed as

Magnetic Resonance ImagingAlgorithmsCerebral CortexHumansReproducibility of ResultsRestSensitivity and Specificity

Identifiers

PMID30714047
PMCPMC6355247
OpenAlexW2892070471

What OpenQuestion holds

Textmetadata
LicenceTDM
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.