Evidence map›Paper›PMID 35908147›Full record

SynthesisBrain imaging and behavior2022

Comparison between inferior frontal gyrus intrinsic connectivity network and verb-generation task fMRI network for presurgical language mapping in healthy controls and in glioma patients.

Sara Cirillo, Giovanni Battistella, Antonella Castellano, Francesco Sanvito, Antonella Iadanza, Michele Bailo, Raffaella Lina Barzaghi, Stefania Acerno, Pietro Mortini, Maria Luisa Gorno-Tempini and 2 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Brain imaging and behavior, 2022. 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
0.5field-weighted citation impact, top 40% 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, 5 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

12 authors at 3 institutions in 2 countries.

Sara CirilloNeuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, Milan, Italy.
Giovanni BattistellaMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
Antonella CastellanoNeuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, Milan, Italy. castellano.antonella@hsr.it.ORCID http://orcid.org/0000-0002-4137-9016
Francesco SanvitoVita-Salute San Raffaele University, Milan, Italy.
Antonella IadanzaNeuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, Milan, Italy.
Michele BailoVita-Salute San Raffaele University, Milan, Italy.
Raffaella Lina BarzaghiNeurosurgery and Gamma Knife Radiosurgery Unit, IRCCS Ospedale San Raffaele, Milan, Italy.
Stefania AcernoNeurosurgery and Gamma Knife Radiosurgery Unit, IRCCS Ospedale San Raffaele, Milan, Italy.
Pietro MortiniVita-Salute San Raffaele University, Milan, Italy.
Maria Luisa Gorno-TempiniMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
Maria Luisa MandelliMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
Andrea FaliniNeuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, Milan, Italy.
Vita-Salute San Raffaele University · ITIRCCS Ospedale San Raffaele · ITUniversity of California, San Francisco · US

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Progressive Aphasia Cognition Anatomy and ProgressionR01NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARIA LUISA GORNO TEMPINI · 2004 to 2026
$11.0M
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
Chinese Language Assessment in Primary Progressive AphasiaR21AG068757 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2021 to 2022
$360k
NIA NIH HHS P01 AG019724NIA NIH HHS R21 AG068757NIDCD NIH HHS K24 DC015544NINDS NIH HHS R01 NS050915NINDS NIH HHS R01 NS100440
6 · The paper itself

Abstract

Task-based functional MRI (tb-fMRI) represents an extremely valuable approach for the identification of language eloquent regions for presurgical mapping in patients with brain tumors. However, its routinely application is limited by patient-related factors, such as cognitive disability and difficulty in coping with long-time acquisitions, and by technical factors, such as lack of equipment availability for stimuli delivery. Resting-state fMRI (rs-fMRI) instead, allows the identification of distinct language networks in a 10-min acquisition without the need of performing active tasks and using specific equipment. Therefore, to test the feasibility of rs-fMRI as a preoperative mapping tool, we reconstructed a lexico-semantic intrinsic connectivity network (ICN) in healthy controls (HC) and in a case series of patients with gliomas and compared the organization of this language network with the one derived from tb-fMRI in the patient's group. We studied three patients with extra-frontal gliomas who underwent functional mapping with auditory verb-generation (AVG) task and rs-fMRI with a seed in the left inferior frontal gyrus (IFG). First, we identified the functional connected areas to the IFG in HC. We qualitatively compared these areas with those that showed functional activation in AVG task derived from Neurosynth meta-analysis. Last, in each patient we performed single-subject analyses both for rs- and tb-fMRI, and we evaluated the spatial overlap between the two approaches. In HC, the IFG-ICN network showed a predominant left fronto-temporal functional connectivity in regions overlapping with the AVG network derived from a meta-analysis. In two patients, rs- and tb-fMRI showed comparable patterns of activation in left fronto-temporal regions, with different levels of contralateral activations. The third patient could not accomplish the AVG task and thus it was not possible to make any comparison with the ICN. However, in this patient, task-free approach disclosed a consistent network of fronto-temporal regions as in HC, and additional parietal regions. Our preliminary findings support the value of rs-fMRI approach for presurgical mapping, particularly for identifying left fronto-temporal core language-related areas in glioma patients. In a preoperative setting, rs-fMRI approach could represent a powerful tool for the identification of eloquent language areas, especially in patients with language or cognitive impairments.

Indexed as

GliomaMagnetic Resonance ImagingBrain MappingHumansLanguagePrefrontal CortexGliomaLanguageResting-state fMRISeed-based functional connectivityTask-based fMRI

Identifiers

PMID35908147
PMCPMC10351566
OpenAlexW4288902991

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.