Evidence map›Paper›PMID 34613421›Full record

ArticleClinical neuroradiology2022

Clinical Speech fMRI in Children and Adolescents : Development of an Optimal Protocol and Analysis Algorithm.

Hannah Krafft, Martin Staudt

Abstract read
In one paragraph

Article in Clinical neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Hannah KrafftCenter for Pediatric Neurology, Neurorehabilitation and Epileptology, Schön Clinic Vogtareuth, Vogtareuth, Germany. krafft@dhm.mhn.de.ORCID http://orcid.org/0000-0002-1151-7545
Martin StaudtCenter for Pediatric Neurology, Neurorehabilitation and Epileptology, Schön Clinic Vogtareuth, Vogtareuth, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn patients with drug-resistant focal epilepsy, surgical resection is often the only treatment option to achieve long-term seizure control. Prior to brain surgery involving potential language areas, identification of hemispheric language dominance is crucial. Our group developed and validated a functional magnetic resonance imaging (fMRI) battery of four pediatric language tasks. The present study aimed at optimizing fMRI data acquisition and analysis using these tasks.

methodsWe retrospectively analyzed speech fMRI examinations of 114 neuropediatric patients (age range 5.8-17.8 years) who were examined prior to possible epilepsy surgery. In order to evaluate hemispheric language dominance, 1-4 language tasks (vowel identification task VIT, word-chain task WCT, beep-story task BST, synonym task SYT) were measured.

resultsLanguage dominance was classified using fMRI activation in the 13 validly lateralizing ROIs (VLR) in frontal, temporal and parietal lobes and cerebellum of the recent validation study from our group: 47/114 patients were classified as left-dominant, 34/114 as bilateral and 6/114 as right-dominant. In an attempt to enlarge the set of VLR, we then compared for each task agreement of these ROI activations with the classified language dominance. We found four additional task-specific ROIs showing concordant activation and activation in ≥ 10 sessions, which we termed validly lateralizing (VLR

conclusionOur suggested task order together with the enlarged set of VLR

Indexed as

Magnetic Resonance ImagingSpeechAdolescentAlgorithmsBrain MappingChildChild, PreschoolDominance, CerebralFunctional LateralityHumansRetrospective StudiesEpilepsy surgeryFunctional magnetic resonance imaging tasksLanguage lateralizationPediatric patientsWada test

Identifiers

PMID34613421
PMCPMC8894226

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.