Literature DB >> 28045225

Impact of correction factors in human brain lesion-behavior inference.

Christoph Sperber1, Hans-Otto Karnath1,2.   

Abstract

Statistical voxel-based lesion-behavior mapping (VLBM) in neurological patients with brain lesions is frequently used to examine the relationship between structure and function of the healthy human brain. Only recently, two simulation studies noted reduced anatomical validity of this method, observing the results of VLBM to be systematically misplaced by about 16 mm. However, both simulation studies differed from VLBM analyses of real data in that they lacked the proper use of two correction factors: lesion size and "sufficient lesion affection." In simulation experiments on a sample of 274 real stroke patients, we found that the use of these two correction factors reduced misplacement markedly compared to uncorrected VLBM. Apparently, the misplacement is due to physiological effects of brain lesion anatomy. Voxel-wise topographies of collateral damage in the real data were generated and used to compute a metric for the inter-voxel relation of brain damage. "Anatomical bias" vectors that were solely calculated from these inter-voxel relations in the patients' real anatomical data, successfully predicted the VLBM misplacement. The latter has the potential to help in the development of new VLBM methods that provide even higher anatomical validity than currently available by the proper use of correction factors. Hum Brain Mapp 38:1692-1701, 2017.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  brain injury; human; mass univariate statistics; statistical lesion analysis; statistical parametric mapping; stroke; voxel-based lesion-symptom mapping

Mesh:

Year:  2017        PMID: 28045225      PMCID: PMC6866937          DOI: 10.1002/hbm.23490

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  29 in total

1.  Voxel-based lesion-symptom mapping.

Authors:  Elizabeth Bates; Stephen M Wilson; Ayse Pinar Saygin; Frederic Dick; Martin I Sereno; Robert T Knight; Nina F Dronkers
Journal:  Nat Neurosci       Date:  2003-05       Impact factor: 24.884

2.  Improving lesion-symptom mapping.

Authors:  Chris Rorden; Hans-Otto Karnath; Leonardo Bonilha
Journal:  J Cogn Neurosci       Date:  2007-07       Impact factor: 3.225

3.  Shared neural substrates of apraxia and aphasia.

Authors:  Georg Goldenberg; Jennifer Randerath
Journal:  Neuropsychologia       Date:  2015-05-22       Impact factor: 3.139

4.  The next step in modern brain lesion analysis: multivariate pattern analysis.

Authors:  Hans-Otto Karnath; David V Smith
Journal:  Brain       Date:  2014-09       Impact factor: 13.501

5.  Lesion size and location in ideomotor apraxia.

Authors:  A Kertesz; J M Ferro
Journal:  Brain       Date:  1984-09       Impact factor: 13.501

6.  Shared and Distinct Neuroanatomic Regions Critical for Tool-related Action Production and Recognition: Evidence from 131 Left-hemisphere Stroke Patients.

Authors:  Leyla Y Tarhan; Christine E Watson; Laurel J Buxbaum
Journal:  J Cogn Neurosci       Date:  2015-09-09       Impact factor: 3.225

7.  Investigating structure and function in the healthy human brain: validity of acute versus chronic lesion-symptom mapping.

Authors:  Hans-Otto Karnath; Johannes Rennig
Journal:  Brain Struct Funct       Date:  2016-11-02       Impact factor: 3.270

8.  Posterior cerebral artery infarction: diffusion-weighted MRI analysis of 205 patients.

Authors:  Eugene Lee; Dong-Wha Kang; Sun U Kwon; Jong S Kim
Journal:  Cerebrovasc Dis       Date:  2009-07-21       Impact factor: 2.762

Review 9.  Using human brain lesions to infer function: a relic from a past era in the fMRI age?

Authors:  Chris Rorden; Hans-Otto Karnath
Journal:  Nat Rev Neurosci       Date:  2004-10       Impact factor: 34.870

10.  Neural organization of spoken language revealed by lesion-symptom mapping.

Authors:  Daniel Mirman; Qi Chen; Yongsheng Zhang; Ze Wang; Olufunsho K Faseyitan; H Branch Coslett; Myrna F Schwartz
Journal:  Nat Commun       Date:  2015-04-16       Impact factor: 14.919

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  35 in total

1.  An empirical evaluation of multivariate lesion behaviour mapping using support vector regression.

Authors:  Christoph Sperber; Daniel Wiesen; Hans-Otto Karnath
Journal:  Hum Brain Mapp       Date:  2018-12-13       Impact factor: 5.038

2.  Using machine learning-based lesion behavior mapping to identify anatomical networks of cognitive dysfunction: Spatial neglect and attention.

Authors:  Daniel Wiesen; Christoph Sperber; Grigori Yourganov; Christopher Rorden; Hans-Otto Karnath
Journal:  Neuroimage       Date:  2019-07-09       Impact factor: 6.556

3.  Corrections for multiple comparisons in voxel-based lesion-symptom mapping.

Authors:  Daniel Mirman; Jon-Frederick Landrigan; Spiro Kokolis; Sean Verillo; Casey Ferrara; Dorian Pustina
Journal:  Neuropsychologia       Date:  2017-08-26       Impact factor: 3.139

4.  Impact of white matter hyperintensity location on depressive symptoms in memory-clinic patients: a lesion–symptom mapping study

Authors:  Anna E. Leeuwis; Nick A. Weaver; J. Matthijs Biesbroek; Lieza G. Exalto; Hugo J. Kuijf; Astrid M. Hooghiemstra; Niels D. Prins; Philip Scheltens; Frederik Barkhof; Wiesje M. van der Flier; Geert Jan Biessels
Journal:  J Psychiatry Neurosci       Date:  2019-07-01       Impact factor: 6.186

5.  Enhanced estimations of post-stroke aphasia severity using stacked multimodal predictions.

Authors:  Dorian Pustina; Harry Branch Coslett; Lyle Ungar; Olufunsho K Faseyitan; John D Medaglia; Brian Avants; Myrna F Schwartz
Journal:  Hum Brain Mapp       Date:  2017-08-07       Impact factor: 5.038

6.  Revisiting 'brain modes' in a new computational era: approaches for the characterization of brain-behavioural associations.

Authors:  Monica N Toba; Olivier Godefroy; R Jarrett Rushmore; Melissa Zavaglia; Redwan Maatoug; Claus C Hilgetag; Antoni Valero-Cabré
Journal:  Brain       Date:  2020-04-01       Impact factor: 13.501

7.  Reduced competition between tool action neighbors in left hemisphere stroke.

Authors:  Frank E Garcea; Harrison Stoll; Laurel J Buxbaum
Journal:  Cortex       Date:  2019-06-19       Impact factor: 4.027

Review 8.  Mapping human brain lesions and their functional consequences.

Authors:  Hans-Otto Karnath; Christoph Sperber; Christopher Rorden
Journal:  Neuroimage       Date:  2017-10-16       Impact factor: 6.556

9.  Multivariate machine learning-based language mapping in glioma patients based on lesion topography.

Authors:  Nan Zhang; Binke Yuan; Jing Yan; Jingliang Cheng; Junfeng Lu; Jinsong Wu
Journal:  Brain Imaging Behav       Date:  2021-02-22       Impact factor: 3.978

10.  Predicting recovery in acute poststroke aphasia.

Authors:  Argye E Hillis; Yuan Ye Beh; Rajani Sebastian; Bonnie Breining; Donna C Tippett; Amy Wright; Sadhvi Saxena; Chris Rorden; Leonardo Bonilha; Alexandra Basilakos; Grigori Yourganov; Julius Fridriksson
Journal:  Ann Neurol       Date:  2018-03-10       Impact factor: 10.422

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