Evidence map›Paper›PMID 32296301›Full record

ArticleFrontiers in neuroscience2020

fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients.

Francesco Sanvito, Eduardo Caverzasi, Marco Riva, Kesshi M Jordan, Valeria Blasi, Paola Scifo, Antonella Iadanza, Sofia Allegra Crespi, Sara Cirillo, Alessandra Casarotti and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  8. Advanced pediatric neuroimaging.Pediatric radiology · 2023
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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

18 authors at 7 institutions in 2 countries.

Francesco SanvitoNeuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Eduardo CaverzasiUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Marco RivaDepartment of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy.
Kesshi M JordanUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Valeria BlasiIRCCS Fondazione Don Carlo Gnocchi, Milan, Italy.
Paola ScifoNuclear Medicine Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Antonella IadanzaNeuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Sofia Allegra CrespiNeuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Sara CirilloNeuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alessandra CasarottiNeurosurgical Oncology Unit, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy.
Antonella LeonettiDepartment of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy.
Guglielmo PuglisiDepartment of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy.
Marco GrimaldiNeuroradiology Unit, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy.
Lorenzo BelloNeurosurgical Oncology Unit, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy.
Maria Luisa Gorno-TempiniUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Roland G HenryUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Andrea FaliniNeuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Antonella CastellanoNeuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy.
University of California, San Francisco · USVita-Salute San Raffaele University · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Milan · ITHumanitas University · ITDon Carlo Gnocchi Foundation · ITIstituto di Ricovero e Cura a Carattere Scientifico San Raffaele

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
PrPSc SPECIFIC INTERACTION WITH NOVEL PrP-Fc FUSION PROTEINSP50AG023501 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MILLER, BRUCE L · 2004 to 2018
$27.1M
Connectomic imaging in familial and sporadic frontotemporal degenerationU01AG052943 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GORNO TEMPINI, MARIA LUISA, GROSSMAN, MURRAY · 2016 to 2019
$5.9M
Dynamic Brain Imaging of Speech in Primary Progressive AphasiaR01NS100440 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARIA LUISA GORNO TEMPINI, John Francis Houde · 2017 to 2026
$3.6M
Training program in the neurology of language and neurodegenerative aphasiasK24DC015544 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2016 to 2025
$1.9M
Primary Progessive Aphasia: Cognition, Anatomy and ProgressionR56NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2008 to 2008
$315k
NIA NIH HHS P01 AG019724NIA NIH HHS P50 AG023501NIA NIH HHS U01 AG052943NIDCD NIH HHS K24 DC015544NINDS NIH HHS R01 NS100440NINDS NIH HHS R56 NS050915
6 · The paper itself

Abstract

backgroundMR Tractography enables non-invasive preoperative depiction of language subcortical tracts, which is crucial for the presurgical work-up of brain tumors; however, it cannot evaluate the exact function of the fibers. PURPOSE: A systematic pipeline was developed to combine tractography reconstruction of language fiber bundles, based on anatomical landmarks (Anatomical-T), with language fMRI cortical activations. A fMRI-targeted Tractography (fMRI-T) was thus obtained, depicting the subsets of the anatomical tracts whose endpoints are located inside a fMRI activation. We hypothesized that fMRI-T could provide additional functional information regarding the subcortical structures, better reflecting the eloquent white matter structures identified intraoperatively.

methodsBoth Anatomical-T and fMRI-T of language fiber tracts were performed on 16 controls and preoperatively on 16 patients with left-hemisphere brain tumors, using a

resultsMNI Atlases showed that fMRI-T is a subset of Anatomical-T, and that different task-specific fMRI-T involve both shared subsets and task-specific subsets - e.g., verbal fluency fMRI-T strongly involves dorsal frontal tracts, consistently with the phonogical-articulatory features of this task. A quantitative analysis in patients revealed that Anatomical-T removed portions of AF-SLF and IFOF were significantly greater than verbal fluency fMRI-T ones, suggesting that fMRI-T is a more specific approach. In addition, qualitative analyses showed that fMRI-T AF-SLF and IFOF predict the exact functional limits of resection with increased specificity when compared to Anatomical-T counterparts, especially the superior frontal portion of IFOF, in a subcohort of patients.

conclusionThese results suggest that performing fMRI-T in addition to the 'classic' Anatomical-T may be useful in a preoperative setting to identify the 'high-risk subsets' that should be spared during the surgical procedure.

Indexed as

brain tumorfMRIhigh angular resolution diffusion imaginglanguage networkpresurgical brain mappingtask-fMRItractography

Identifiers

PMID32296301
PMCPMC7136614
OpenAlexW3014507566

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.