Evidence map›Paper›PMID 37045891›Full record

ArticleScientific reports2023

Reproducible Tract Profiles 2 (RTP2) suite, from diffusion MRI acquisition to clinical practice and research.

Garikoitz Lerma-Usabiaga, Mengxing Liu, Pedro M Paz-Alonso, Brian A Wandell

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  3. High-Resolution Tractography Protocol to Investigate the Pathways between Human Mediodorsal Thalamic Nucleus and Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    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

4 authors.

Garikoitz Lerma-UsabiagaDepartment of Psychology, Stanford University, 450 Serra Mall, Jordan Hall Building, Stanford, CA, 94305, USA. garikoitz@gmail.com.ORCID 0000-0001-9800-4816
Mengxing LiuBCBL, Basque Center on Cognition, Brain and Language, Mikeletegi Pasealekua 69, 20009, Donostia-San Sebastián, Gipuzkoa, Spain.ORCID 0000-0001-8313-137X
Pedro M Paz-AlonsoBCBL, Basque Center on Cognition, Brain and Language, Mikeletegi Pasealekua 69, 20009, Donostia-San Sebastián, Gipuzkoa, Spain.ORCID 0000-0002-0325-9304
Brian A WandellDepartment of Psychology, Stanford University, 450 Serra Mall, Jordan Hall Building, Stanford, CA, 94305, USA.ORCID 0000-0002-2974-1836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion MRI is a complex technique, where new discoveries and implementations occur at a fast pace. The expertise needed for data analyses and accurate and reproducible results is increasingly demanding and requires multidisciplinary collaborations. In the present work we introduce Reproducible Tract Profiles 2 (RTP2), a set of flexible and automated methods to analyze anatomical MRI and diffusion weighted imaging (DWI) data for reproducible tractography. RTP2 reads structural MRI data and processes them through a succession of serialized containerized analyses. We describe the DWI algorithms used to identify white-matter tracts and their summary metrics, the flexible architecture of the platform, and the tools to programmatically access and control the computations. The combination of these three components provides an easy-to-use automatized tool developed and tested over 20 years, to obtain usable and reliable state-of-the-art diffusion metrics at the individual and group levels for basic research and clinical practice.

Indexed as

BrainWhite MatterAlgorithmsDiffusion Magnetic Resonance ImagingMagnetic Resonance Imaging

Identifiers

PMID37045891
PMCPMC10097625

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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.