Literature DB >> 29188746

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

Idan A Blank1, Swathi Kiran2, Evelina Fedorenko3,4.   

Abstract

Neuroimaging studies of individuals with brain damage seek to link brain structure and activity to cognitive impairments, spontaneous recovery, or treatment outcomes. To date, such studies have relied on the critical assumption that a given anatomical landmark corresponds to the same functional unit(s) across individuals. However, this assumption is fallacious even across neurologically healthy individuals. Here, we discuss the severe implications of this issue, and argue for an approach that circumvents it, whereby: (i) functional brain regions are defined separately for each subject using fMRI, allowing for inter-individual variability in their precise location; (ii) the response profile of these subject-specific regions are characterized using various other tasks; and (iii) the results are averaged across individuals, guaranteeing generalizabliity. This method harnesses the complementary strengths of single-case studies and group studies, and it eliminates the need for post hoc "reverse inference" from anatomical landmarks back to cognitive operations, thus improving data interpretability.

Entities:  

Keywords:  Aphasia; fMRI; functional localization; group studies; individual differences

Mesh:

Year:  2017        PMID: 29188746      PMCID: PMC6157596          DOI: 10.1080/02643294.2017.1402756

Source DB:  PubMed          Journal:  Cogn Neuropsychol        ISSN: 0264-3294            Impact factor:   2.468


  119 in total

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Journal:  Brain Lang       Date:  2005-04       Impact factor: 2.381

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Journal:  Brain Lang       Date:  1991-07       Impact factor: 2.381

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Authors:  A M O Bakheit; S Shaw; L Barrett; J Wood; S Carrington; S Griffiths; K Searle; F Koutsi
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Authors:  A Caramazza
Journal:  J Cogn Neurosci       Date:  1992       Impact factor: 3.225

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Journal:  Brain Cogn       Date:  1989-07       Impact factor: 2.310

Review 9.  Lesion analysis of the brain areas involved in language comprehension.

Authors:  Nina F Dronkers; David P Wilkins; Robert D Van Valin; Brenda B Redfern; Jeri J Jaeger
Journal:  Cognition       Date:  2004 May-Jun

10.  Large-scale automated synthesis of human functional neuroimaging data.

Authors:  Tal Yarkoni; Russell A Poldrack; Thomas E Nichols; David C Van Essen; Tor D Wager
Journal:  Nat Methods       Date:  2011-06-26       Impact factor: 28.547

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  4 in total

1.  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

2.  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

3.  Theoretical and methodological issues for twenty-first century cognitive neuropsychology.

Authors:  Bradford Z Mahon; Albert Costa
Journal:  Cogn Neuropsychol       Date:  2017 Oct - Dec       Impact factor: 2.468

4.  Comprehension of computer code relies primarily on domain-general executive brain regions.

Authors:  Anna A Ivanova; Shashank Srikant; Yotaro Sueoka; Hope H Kean; Riva Dhamala; Una-May O'Reilly; Marina U Bers; Evelina Fedorenko
Journal:  Elife       Date:  2020-12-15       Impact factor: 8.140

  4 in total

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