Advanced lesion symptom mapping analyses and implementation as<i>BCBtoolkit</i>

Foulon, Chris; Cerliani, Leonardo; Kinkingnéhun, Serge; Lévy, Richard; Rosso, Charlotte; Urbanski, Marika; Volle, Emmanuelle

doi:10.1101/133314

Cited by 49 publications

(70 citation statements)

References 94 publications

(120 reference statements)

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“…This possibility would be consistent with the analogous results obtained in the domain of recovery from aphasia, which appears to be promoted by stronger language structures in the right hemisphere (Forkel et al, 2014;Xing et al, 2016). An alternative hypothesis might be that diaschisis and disconnection may have induced secondary atrophy in remote cortices (Cheng et al, 2015;Foulon et al, 2017). This would be consistent with previous reports suggesting that bilateral diffuse tissue loss may occur in individuals with chronic stroke (Gauthier, Taub, Mark, Barghi, & Uswatte, 2012;Kraemer et al, 2004).…”

Section: Discussionsupporting

confidence: 88%

Anatomical predictors of successful prism adaptation in chronic visual neglect

Lunven

Rode

Bourlon

et al. 2017

Preprint

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Visual neglect is a frequent and disabling consequence of right hemisphere damage. Previous evidence demonstrated a probable role of posterior callosal dysfunction in the chronic persistence of neglect signs. Prism adaptation is a non-invasive and convenient technique to rehabilitate chronic visual neglect, but it is not effective in all patients. Here we hypothesized that prism adaptation improves left neglect by facilitating compensation through the contribution of the left, undamaged hemisphere. To test this hypothesis, we assessed the relationship between prism adaptation effects, cortical thickness and white matter integrity in a group of 14 patients with unilateral right-hemisphere strokes and chronic visual neglect. Consistent with our hypothesis, patients who benefitted from prism adaptation had a thicker cortex in temporo-parietal, prefrontal and cingulate areas of the left, undamaged hemisphere.Additionally, these patients had higher microstructural integrity of the body and genu of the corpus callosum. These callosal regions connect temporo-parietal, sensorimotor and prefrontal areas. Thus, prism adaptation may ameliorate signs of left visual neglect by promoting the contribution of the left hemisphere to neglect compensation. These results support current hypotheses on the role of the healthy hemisphere in the compensation for stroke-induced, chronic neuropsychological deficits, and suggest that prism adaptation can foster this role by exploiting sensorimotor/prefrontal circuits for neglect compensation. Highlights:• Visual neglect is a disabling condition resulting from right hemisphere damage • Prism adaptation is a promising therapy, but not all patients respond • We assessed the anatomical predictors of patients' response to prism adaptation • Study of cortical thickness and white matter integrity • Importance of fronto-parietal networks in the left, healthy hemisphere for recovery • Importance of callosal connections in the genu and body for recovery

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Section: Discussionsupporting

confidence: 88%

Anatomical predictors of successful prism adaptation in chronic visual neglect

Lunven

Rode

Bourlon

et al. 2017

Preprint

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“…As shown in our result, the three segments of the arcuate fasciculus (Catani et al, 2005) were more domain-specific than the entire arcuate fasciculus. This calls for a finer-grained white matter division or more datadriven approaches to identify the portion of white matter related to specific functions (see for example Foulon et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

White matter variability, cognition, and disorders: a systematic review

Forkel

Friedrich

Schotten

et al. 2020

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Inter-individual differences can inform treatment procedures and - if accounted for - can significantly improve patient outcomes. However, when studying brain anatomy, these inter-individual variations are largely unaccounted for, despite reports of differences in gross anatomical features, cross-sectional and connectional anatomy. Brain connections are essential to mediate brain functional organisation and, when severed, cause functional impairments or complete loss of function. Hence the study of cerebral white matter may be an ideal compromise to capture inter-individual variability in structure and function. Here we reviewed the wealth of studies that associate functions and clinical symptoms with individual tracts using diffusion tractography. Our systematic review indicates that tractography has proven to be a sensitive method in neurology, psychiatry and healthy populations to identify variability and its functional correlates. However, the literature may be biased, as we identified that the most commonly reported tracts are not necessarily those with the highest sensitivity to cognitive functions and pathologies. Finally, we demonstrate that tracts, as we define them, are not usually correlated with only one, but rather multiple cognitive domains or pathologies. While our systematic review identified some methodological caveats, it also suggests that tract-function correlations might be a promising biomarker for precision medicine as it characterises variations in brain anatomy, differences in functional organisation and predict resilience or recovery in patients.

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“…Therefore, we used a procedure similar to the one outlined in Solodkin et al (2010). Specifically, we first produced an enantiomorphic filling of the lesioned area (Nachev, Coulthard, Jäger, Kennard, & Husain, 2008) using the BCBtoolkit (Foulon et al, 2018), after which the standard FreeSurfer processing pipeline was utilized. For the glioma patients, we used each patient's pre-operative parcellation scheme, after non-linear registration to their post-operative space (using FSL FNIRT; Andersson, Jenkinson, & Smith, 2007).…”

Section: Preprocessing Of T1-weighted Anatomical Mri Datamentioning

confidence: 99%

“…Since this particular segmentation strategy misclassified tumorous tissue mostly as gray matter, which is then enforced to be an endpoint of white matter streamlines during tractography, a modified segmented tissue image was provided. Specifically, the tumor mask was filled with undamaged tissue from homologous regions within the contralateral hemisphere using a non-linear registration approach (Foulon et al, 2018;Nachev et al, 2008), providing an approximation of the patient's brain anatomy as if the tumor were absent. This "restored" anatomical image was then segmented and used to generate 30 million streamlines connecting pairs of brain regions.…”

Section: Reconstruction Of Pre-operative Tumor Structural Connectomementioning

confidence: 99%

Modeling brain dynamics after tumor resection using The Virtual Brain

Aerts

Schirner

Dhollander

et al. 2019

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Brain tumor patients scheduled for tumor resection often face significant uncertainty, as the outcome of neurosurgery is difficult to predict at the individual patient level. Recently, computational modeling of brain activity using so-called brain network models has been introduced as a promising tool for this purpose. However, brain network models first have to be validated, before they can be used to predict brain dynamics. In prior work, we optimized individual brain network model parameters to maximize the fit with empirical brain activity. In this study, we extend this line of research by examining the stability of fitted parameters before and after tumor resection, and compare it with baseline parameter variability using data from healthy control subjects. Based on these findings, we perform the first "virtual neurosurgery" analyses to evaluate the potential of brain network modeling in predicting brain dynamics after tumor resection.We find that brain network model parameters are relatively stable over time in brain tumor patients who underwent tumor resection, compared with baseline variability in healthy control subjects. In addition, we identify several robust associations between individually optimized model parameters, structural network topology and cognitive performance from pre-to post-operative assessment. Concerning the virtual neurosurgery analyses, we obtain promising results in some patients, whereas the predictive accuracy of the currently applied model is poor in others. These findings reveal interesting avenues for future research, as well as important limitations that warrant further investigation.

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Advanced lesion symptom mapping analyses and implementation asBCBtoolkit

Abstract: Background: Patients with brain lesions provide a unique opportunity to understand the

Cited by 49 publications

References 94 publications

Anatomical predictors of successful prism adaptation in chronic visual neglect

Anatomical predictors of successful prism adaptation in chronic visual neglect

White matter variability, cognition, and disorders: a systematic review

Modeling brain dynamics after tumor resection using The Virtual Brain

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