2021
DOI: 10.1002/ana.26079
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Unravelling the Neural Basis of Spatial Delusions After Stroke

Abstract: Objective Knowing explicitly where we are is an interpretation of our spatial representations. Reduplicative paramnesia is a disrupting syndrome in which patients present a firm belief of spatial mislocation. Here, we studied the largest sample of patients with delusional misidentifications of space (ie, reduplicative paramnesia) after stroke to shed light on their neurobiology. Methods In a prospective, cumulative, case‐control study, we screened 400 patients with acute right‐hemispheric stroke. We included 6… Show more

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Cited by 9 publications
(16 citation statements)
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“…Thresholding these disconnectome maps (i.e. keeping values ≥ 50 % and discarding values < 50 %) as performed in several prior studies ( Alves et al, 2021 , Foulon et al, 2018 , Wiesen et al, 2020 ) and enabled by default in BCBtoolkit leads to significantly reduced variance for disconnection probabilities < 50 %. This leads to heteroscedasticity in the modelling errors in general linear models and is associated with inflated FWE rates in permutation testing ( Huang et al, 2006 ).…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Thresholding these disconnectome maps (i.e. keeping values ≥ 50 % and discarding values < 50 %) as performed in several prior studies ( Alves et al, 2021 , Foulon et al, 2018 , Wiesen et al, 2020 ) and enabled by default in BCBtoolkit leads to significantly reduced variance for disconnection probabilities < 50 %. This leads to heteroscedasticity in the modelling errors in general linear models and is associated with inflated FWE rates in permutation testing ( Huang et al, 2006 ).…”
Section: Discussionmentioning
confidence: 99%
“…This approach is available within the BCBtoolkit ( https://www.toolkit.bcblab.com ) and has been increasingly used in the recent years (e.g. Alves et al, 2021 , Pacella et al, 2019 , Salvalaggio et al, 2020 , Wiesen et al, 2020 ). It relies on deterministic fiber tracking seeding from individual lesions ( Thiebaut de Schotten et al, 2011 ).…”
Section: Introductionmentioning
confidence: 99%
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“…Consequently, white matter networks are subject to variations over the lifespan and can change with training (Scholz et al 2009 ; Thiebaut de Schotten et al 2012 ; Lebel et al 2019 ; Vanderauwera et al 2018 ). Tractography has been shown to be highly sensitive in capturing these variations, which can be associated with inter-individual differences in neuropsychological measures in the healthy population (e.g., Catani et al 2007 ; Thiebaut de Schotten et al 2011a , b ; Howells et al 2018 ) and clinical groups (e.g., Forkel et al 2014a , b ; Forkel et al 2020 ; Thompson et al 2017 ; Pacella et al 2019 ; Alves et al 2021 ). Therefore, tractography can be used to study variability in the human brain and map functional white matter correlates.…”
Section: Introductionmentioning
confidence: 99%