Literature DB >> 27386919

A new fun and robust version of an fMRI localizer for the frontotemporal language system.

Terri L Scott1, Jeanne Gallée2, Evelina Fedorenko3,4.   

Abstract

A set of brain regions in the frontal, temporal, and parietal lobes supports high-level linguistic processing. These regions can be reliably identified in individual subjects using fMRI, by contrasting neural responses to meaningful and structured language stimuli vs. stimuli matched for low-level properties but lacking meaning and/or structure. We here present a novel version of a language 'localizer,' which should be suitable for diverse populations including children and/or clinical populations who may have difficulty with reading or cognitively demanding tasks. In particular, we contrast responses to auditorily presented excerpts from engaging interviews or stories, and acoustically degraded versions of these materials. This language localizer is appealing because it uses (a) naturalistic and engaging linguistic materials, (b) auditory presentation, (c) a passive listening task, and can be easily adapted to new stimulus materials enabling comparisons of language activation in children and speakers of diverse languages.

Entities:  

Keywords:  Language; brain imaging methods; fMRI; functional localizers; individual subject analyses

Mesh:

Year:  2016        PMID: 27386919     DOI: 10.1080/17588928.2016.1201466

Source DB:  PubMed          Journal:  Cogn Neurosci        ISSN: 1758-8928            Impact factor:   3.065


  25 in total

1.  Can neuroimaging help aphasia researchers? Addressing generalizability, variability, and interpretability.

Authors:  Idan A Blank; Swathi Kiran; Evelina Fedorenko
Journal:  Cogn Neuropsychol       Date:  2017-11-30       Impact factor: 2.468

2.  fMRI reveals language-specific predictive coding during naturalistic sentence comprehension.

Authors:  Cory Shain; Idan Asher Blank; Marten van Schijndel; William Schuler; Evelina Fedorenko
Journal:  Neuropsychologia       Date:  2019-12-24       Impact factor: 3.139

Review 3.  Broca's Area Is Not a Natural Kind.

Authors:  Evelina Fedorenko; Idan A Blank
Journal:  Trends Cogn Sci       Date:  2020-02-20       Impact factor: 20.229

4.  An Attempt to Conceptually Replicate the Dissociation between Syntax and Semantics during Sentence Comprehension.

Authors:  Matthew Siegelman; Idan A Blank; Zachary Mineroff; Evelina Fedorenko
Journal:  Neuroscience       Date:  2019-06-11       Impact factor: 3.590

5.  Toward Robust Functional Neuroimaging Genetics of Cognition.

Authors:  Julia Uddén; Annika Hultén; Katarina Bendtz; Zachary Mineroff; Katerina S Kucera; Arianna Vino; Evelina Fedorenko; Peter Hagoort; Simon E Fisher
Journal:  J Neurosci       Date:  2019-09-30       Impact factor: 6.167

6.  Neural basis of basic composition: what we have learned from the red-boat studies and their extensions.

Authors:  Liina Pylkkänen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-12-16       Impact factor: 6.237

7.  Lack of selectivity for syntax relative to word meanings throughout the language network.

Authors:  Evelina Fedorenko; Idan Asher Blank; Matthew Siegelman; Zachary Mineroff
Journal:  Cognition       Date:  2020-06-20

8.  Domain-General Brain Regions Do Not Track Linguistic Input as Closely as Language-Selective Regions.

Authors:  Idan A Blank; Evelina Fedorenko
Journal:  J Neurosci       Date:  2017-09-04       Impact factor: 6.167

9.  High-level language processing regions are not engaged in action observation or imitation.

Authors:  Brianna L Pritchett; Caitlyn Hoeflin; Kami Koldewyn; Eyal Dechter; Evelina Fedorenko
Journal:  J Neurophysiol       Date:  2018-08-29       Impact factor: 2.714

10.  Tracking Colisteners' Knowledge States During Language Comprehension.

Authors:  Olessia Jouravlev; Rachael Schwartz; Dima Ayyash; Zachary Mineroff; Edward Gibson; Evelina Fedorenko
Journal:  Psychol Sci       Date:  2018-11-16
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