Evidence map›Paper›PMID 35784190›Full record

ArticleFrontiers in neuroinformatics2022

A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain.

Noah Frazier-Logue, Justin Wang, Zheng Wang, Devin Sodums, Anisha Khosla, Alexandria D Samson, Anthony R McIntosh, Kelly Shen

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Noah Frazier-LogueRotman Research Institute, Baycrest, Toronto, ON, Canada.
Justin WangRotman Research Institute, Baycrest, Toronto, ON, Canada.
Zheng WangRotman Research Institute, Baycrest, Toronto, ON, Canada.
Devin SodumsRotman Research Institute, Baycrest, Toronto, ON, Canada.
Anisha KhoslaRotman Research Institute, Baycrest, Toronto, ON, Canada.
Alexandria D SamsonRotman Research Institute, Baycrest, Toronto, ON, Canada.
Anthony R McIntoshRotman Research Institute, Baycrest, Toronto, ON, Canada.
Kelly ShenRotman Research Institute, Baycrest, Toronto, ON, Canada.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

TheVirtualBrain, an open-source platform for large-scale network modeling, can be personalized to an individual using a wide range of neuroimaging modalities. With the growing number and scale of neuroimaging data sharing initiatives of both healthy and clinical populations comes an opportunity to create large and heterogeneous sets of dynamic network models to better understand individual differences in network dynamics and their impact on brain health. Here we present TheVirtualBrain-UK Biobank pipeline, a robust, automated and open-source brain image processing solution to address the expanding scope of TheVirtualBrain project. Our pipeline generates connectome-based modeling inputs compatible for use with TheVirtualBrain. We leverage the existing multimodal MRI processing pipeline from the UK Biobank made for use with a variety of brain imaging modalities. We add various features and changes to the original UK Biobank implementation specifically for informing large-scale network models, including user-defined parcellations for the construction of matching whole-brain functional and structural connectomes. Changes also include detailed reports for quality control of all modalities, a streamlined installation process, modular software packaging, updated software versions, and support for various publicly available datasets. The pipeline has been tested on various datasets from both healthy and clinical populations and is robust to the morphological changes observed in aging and dementia. In this paper, we describe these and other pipeline additions and modifications in detail, as well as how this pipeline fits into the TheVirtualBrain ecosystem.

Indexed as

connectome-based modellingfunctional connectivitylarge-scale networksmagnetic resonance imagingstructural connectivity

Identifiers

PMID35784190
PMCPMC9239912

What OpenQuestion holds

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LicenceCC BY
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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.