Voxelwise structural disconnection mapping: Methodological validation and recommendations

Wawrzyniak, Max; Stockert, Anika; Klingbeil, Julian; Saur, Dorothee

doi:10.1016/j.nicl.2022.103132

Cited by 9 publications

(22 citation statements)

References 40 publications

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“…The lack of consistency of our result with these findings might be explained by differences in lesion aetiology (only stroke vs. stroke, intracerebral haemorrhage and traumatic brain lesion), behavioral scales (HADS scale vs. several other scales) or the time of assessment (6 months vs. 3 months -30 years poststroke). Alternatively it could be related to the method itself: while LNSM has certainly contributed to the understanding of the network damage in several neurological and psychiatric symptoms and syndromes [e.g., (19,25,26,(77)(78)(79)(80)(81)], it has also been demonstrated that indirect measures of functional diaschisis -such as LNSMexplain less variance in stroke symptoms than indirect measures of structural connectivity, direct measures of functional connectivity and lesion location (82,83). Moreover, functional lesion networkmapping tends to generate anatomically plausible patterns, which is also the case here (see Figure 1A where many of the regions identified with the other two methods seem to fall onto the functional disconnection map), but accounts for very little behavioral variance (82).…”

Section: Discussionmentioning

confidence: 99%

“…The resulting maps were binarized and overlapped for each patient resulting in individual disconnectome maps with values between 0 and 100%. These disconnectome maps were again binarized with a cutoff of ≥ 60%, since this cutoff had been shown to be optimal in a systematic evaluation of the method ( 25 ). Relationships between the binary disconnectome maps and depressive symptoms were analyzed in analogy to SVR-LSM described above.…”

Section: Methodsmentioning

confidence: 99%

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Associations of lesion location, structural disconnection, and functional diaschisis with depressive symptoms post stroke

et al. 2023

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IntroductionPost-stroke depressive symptoms (PSDS) are common and relevant for patient outcome, but their complex pathophysiology is ill understood. It likely involves social, psychological and biological factors. Lesion location is a readily available information in stroke patients, but it is unclear if the neurobiological substrates of PSDS are spatially localized. Building on previous analyses, we sought to determine if PSDS are associated with specific lesion locations, structural disconnection and/or localized functional diaschisis.MethodsIn a prospective observational study, we examined 270 patients with first-ever stroke with the Hospital Anxiety and Depression Scale (HADS) around 6 months post-stroke. Based on individual lesion locations and the depression subscale of the HADS we performed support vector regression lesion-symptom mapping, structural-disconnection-symptom mapping and functional lesion network-symptom-mapping, in a reanalysis of this previously published cohort to infer structure–function relationships.ResultsWe found that depressive symptoms were associated with (i) lesions in the right insula, right putamen, inferior frontal gyrus and right amygdala and (ii) structural disconnection in the right temporal lobe. In contrast, we found no association with localized functional diaschisis. In addition, we were unable to confirm a previously described association between depressive symptom load and a network damage score derived from functional disconnection maps.DiscussionBased on our results, and other recent lesion studies, we see growing evidence for a prominent role of right frontostriatal brain circuits in PSDS.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Associations of lesion location, structural disconnection, and functional diaschisis with depressive symptoms post stroke

et al. 2023

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“…Furthermore, Wawrzyniak et al, [39] successfully confirmed the wellknown relationship between damage to white matter tracts and symptoms caused by disconnection of specific white matter tracts using voxel-wise disconnection mapping as an indirect approach. They showed the validity and utility of the methodology of the disconnectome maps, an indirect approach to investigate the relationship between white matter tract disconnection and cognitive impairment using an atlas obtained from healthy controls [39].…”

Section: Introductionmentioning

confidence: 89%

The effect of damage to the white matter network and premorbid intellectual ability on postoperative verbal short-term memory and functional outcome in patients with brain lesions

Ebina

Matsui²,

Kinoshita³

et al. 2023

PLoS ONE

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Cognitive reserve is the capacity to cope with cognitive decline due to brain damage caused by neurological diseases. Premorbid IQ has been investigated as a proxy for cognitive reserve. To date, no study has focused on the effects of premorbid IQ in patients with brain tumors, considering the damage to white matter tracts. We investigated whether a higher premorbid IQ has a beneficial impact on postoperative verbal short-term memory and functional outcomes in patients with brain tumors. A total of 65 patients with brain tumors (35 right and 30 left hemisphere lesions) and 65 healthy subjects participated in the study. We used multiple regression analysis to examine whether white matter tract damage and premorbid IQ affect postoperative verbal short-term memory, and the interaction effects of premorbid IQ with damage to white matter tract on postoperative verbal short-term memory. Path analysis was used to investigate the relationship between damage to the white matter tract and premorbid IQ on postoperative functional ability. Our results showed that damage to the left arcuate fasciculus affected postoperative functional ability through verbal short-term memory, working memory, and global cognition in patients with left hemisphere lesions. In the right hemisphere lesion group, high premorbid IQ had a positive effect on functional ability by mediating verbal short-term memory, verbal working memory, and global cognition. We found that damage to the eloquent pathway affected postoperative verbal short-term memory regardless of the premorbid IQ level. However, a higher premorbid IQ was associated with better postoperative verbal short-term memory and functional outcomes when the brain lesions were not located in a crucial pathway. Our findings suggest that premorbid IQ and damage to the white matter tracts should be considered predictors of postoperative functional outcomes.

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“…Structural disconnection-behaviour mapping has been recently employed to identify white matter correlates of motor function, 54 and to predict 2-week motor scores from lesion-induced pairwise structural disconnection. 7 In the latter, most conceptually similar to this study, tractography is seeded from voxels in a lesion, and a map representing the probability of disconnection from the lesion is generated.…”

Section: Shared Variance Dimensionality Reduction Approaches: Dilutin...mentioning

confidence: 99%

Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes

Olafson

Sperber

Jamison

et al. 2023

Preprint

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Chronic motor impairments are a leading cause of disability after stroke. Previous studies have predicted motor outcomes based on the degree of damage to predefined structures in the motor system, such as the corticospinal tract. However, such theory-based approaches may not take full advantage of the information contained in clinical imaging data. The present study uses data-driven approaches to predict chronic motor outcomes after stroke and compares the accuracy of these predictions to previously-identified theory-based biomarkers.Using a cross-validation framework, regression models were trained using lesion masks and motor outcomes data from 789 stroke patients (293 female/496 male) from the ENIGMA Stroke Recovery Working Group (age 64.9±18.0 years; time since stroke 12.2±0.2 months; normalised motor score 0.7±0.5 (range [0,1]). The out-of-sample prediction accuracy of two theory-based biomarkers was assessed: lesion load of the corticospinal tract, and lesion load of multiple descending motor tracts. These theory-based prediction accuracies were compared to the prediction accuracy from three data-driven biomarkers: lesion load of lesion-behaviour maps, lesion load of structural networks associated with lesion-behaviour maps, and measures of regional structural disconnection.In general, data-driven biomarkers had better prediction accuracy - as measured by higher explained variance in chronic motor outcomes - than theory-based biomarkers. Data-driven models of regional structural disconnection performed the best of all models tested (R2= 0.210, p < 0.001), performing significantly better than predictions using the theory-based biomarkers of lesion load of the corticospinal tract (R2= 0.132, p< 0.001) and of multiple descending motor tracts (R2= 0.180, p < 0.001). They also performed slightly, but significantly, better than other data-driven biomarkers including lesion load of lesion-behaviour maps (R2=0.200, p < 0.001) and lesion load of structural networks associated with lesion-behaviour maps (R2=0.167, p < 0.001). Ensemble models - combining basic demographic variables like age, sex, and time since stroke - improved prediction accuracy for theory-based and data-driven biomarkers. Finally, combining both theory-based and data-driven biomarkers with demographic variables improved predictions, and the best ensemble model achieved R2= 0.241, p < 0.001.Overall, these results demonstrate that models that predict chronic motor outcomes using data-driven features, particularly when lesion data is represented in terms of structural disconnection, perform better than models that predict chronic motor outcomes using theory-based features from the motor system. However, combining both theory-based and data-driven models provides the best predictions.

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Voxelwise structural disconnection mapping: Methodological validation and recommendations

Cited by 9 publications

References 40 publications

Associations of lesion location, structural disconnection, and functional diaschisis with depressive symptoms post stroke

Associations of lesion location, structural disconnection, and functional diaschisis with depressive symptoms post stroke

The effect of damage to the white matter network and premorbid intellectual ability on postoperative verbal short-term memory and functional outcome in patients with brain lesions

Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes

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