Literature DB >> 33813262

Lesion Quantification Toolkit: A MATLAB software tool for estimating grey matter damage and white matter disconnections in patients with focal brain lesions.

Joseph C Griffis1, Nicholas V Metcalf1, Maurizio Corbetta2, Gordon L Shulman3.   

Abstract

Lesion studies are an important tool for cognitive neuroscientists and neurologists. However, while brain lesion studies have traditionally aimed to localize neurological symptoms to specific anatomical loci, a growing body of evidence indicates that neurological diseases such as stroke are best conceptualized as brain network disorders. While researchers in the fields of neuroscience and neurology are therefore increasingly interested in quantifying the effects of focal brain lesions on the white matter connections that form the brain's structural connectome, few dedicated tools exist to facilitate this endeavor. Here, we present the Lesion Quantification Toolkit, a publicly available MATLAB software package for quantifying the structural impacts of focal brain lesions. The Lesion Quantification Toolkit uses atlas-based approaches to estimate parcel-level grey matter lesion loads and multiple measures of white matter disconnection severity that include tract-level disconnection measures, voxel-wise disconnection maps, and parcel-wise disconnection matrices. The toolkit also estimates lesion-induced increases in the lengths of the shortest structural paths between parcel pairs, which provide information about changes in higher-order structural network topology. We describe in detail each of the different measures produced by the toolkit, discuss their applications and considerations relevant to their use, and perform example analyses using real behavioral data collected from sub-acute stroke patients. We show that analyses performed using the different measures produced by the toolkit produce results that are highly consistent with results that have been reported in the prior literature, and we demonstrate the consistency of results obtained from analyses conducted using the different disconnection measures produced by the toolkit. We anticipate that the Lesion Quantification Toolkit will empower researchers to address research questions that would be difficult or impossible to address using traditional lesion analyses alone, and ultimately, lead to advances in our understanding of how white matter disconnections contribute to the cognitive, behavioral, and physiological consequences of focal brain lesions.
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Disconnectome; Lesion mapping; Lesion methods; Structural disconnection; White matter disconnection

Year:  2021        PMID: 33813262     DOI: 10.1016/j.nicl.2021.102639

Source DB:  PubMed          Journal:  Neuroimage Clin        ISSN: 2213-1582            Impact factor:   4.881


  10 in total

Review 1.  Indirect structural disconnection-symptom mapping.

Authors:  Christoph Sperber; Joseph Griffis; Vanessa Kasties
Journal:  Brain Struct Funct       Date:  2022-09-01       Impact factor: 3.748

2.  Sensorimotor, Attentional, and Neuroanatomical Predictors of Upper Limb Motor Deficits and Rehabilitation Outcome after Stroke.

Authors:  Daniela D'Imperio; Zaira Romeo; Lorenza Maistrello; Eugenia Durgoni; Camilla Della Pietà; Michele De Filippo De Grazia; Francesca Meneghello; Andrea Turolla; Marco Zorzi
Journal:  Neural Plast       Date:  2021-04-01       Impact factor: 3.599

3.  Contribution of the medial eye field network to the voluntary deployment of visuospatial attention.

Authors:  Guillaume Herbet; Hugues Duffau
Journal:  Nat Commun       Date:  2022-01-17       Impact factor: 14.919

4.  Strategies for feature extraction from structural brain imaging in lesion-deficit modelling.

Authors:  Vanessa Kasties; Hans-Otto Karnath; Christoph Sperber
Journal:  Hum Brain Mapp       Date:  2021-08-20       Impact factor: 5.038

5.  White matter disconnectivity fingerprints causally linked to dissociated forms of alexia.

Authors:  Sam Ng; Sylvie Moritz-Gasser; Anne-Laure Lemaitre; Hugues Duffau; Guillaume Herbet
Journal:  Commun Biol       Date:  2021-12-20

6.  Untapped Neuroimaging Tools for Neuro-Oncology: Connectomics and Spatial Transcriptomics.

Authors:  Jurgen Germann; Gelareh Zadeh; Alireza Mansouri; Walter Kucharczyk; Andres M Lozano; Alexandre Boutet
Journal:  Cancers (Basel)       Date:  2022-01-18       Impact factor: 6.639

7.  Investigating secondary white matter degeneration following ischemic stroke by modelling affected fiber tracts.

Authors:  Ivana Kancheva; Floor Buma; Gert Kwakkel; Angelina Kancheva; Nick Ramsey; Mathijs Raemaekers
Journal:  Neuroimage Clin       Date:  2022-01-22       Impact factor: 4.881

Review 8.  Neural Substrates of Poststroke Depression: Current Opinions and Methodology Trends.

Authors:  Chensheng Pan; Guo Li; Wenzhe Sun; Jinfeng Miao; Xiuli Qiu; Yan Lan; Yanyan Wang; He Wang; Zhou Zhu; Suiqiang Zhu
Journal:  Front Neurosci       Date:  2022-04-06       Impact factor: 4.677

9.  Population-based tract-to-region connectome of the human brain and its hierarchical topology.

Authors:  Fang-Cheng Yeh
Journal:  Nat Commun       Date:  2022-08-22       Impact factor: 17.694

10.  Reply: Looking beyond indirect lesion network mapping of prosopagnosia: direct measures required.

Authors:  Alexander L Cohen; Michael D Fox
Journal:  Brain       Date:  2021-10-22       Impact factor: 15.255

  10 in total

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