Multimodal and multidomain lesion network mapping enhances prediction of sensorimotor behavior in stroke patients DOI Creative Commons
Antonio Jiménez-Marín, Nele De Bruyn, Jolien Gooijers

et al.

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: Dec. 27, 2022

Beyond the characteristics of a brain lesion, such as its etiology, size or location, lesion network mapping (LNM) has shown that similar symptoms after reflects dis-connectivity patterns, thereby linking to networks. Here, we extend LNM by using multimodal strategy, combining functional and structural networks from 1000 healthy participants in Human Connectome Project. We apply cohort 54 stroke patients with aim predicting sensorimotor behavior, assessed through combination motor sensory tests. Results are two-fold. First, reveals modality contributes more than one prediction behavior. Second, when looking at each individually, performance strongly depended on whether was corrected for size, eliminating effect larger lesions generally produce severe impairment. In contrast, provided regardless not removed. Overall, these results support extension form, highlighting synergistic additive nature different types modalities, their corresponding influence behavioral injury.

Language: Английский

The scientific value of tractography: accuracy vs usefulness DOI
François Rheault, Helen S. Mayberg, Michel Thiebaut de Schotten

et al.

Brain Structure and Function, Journal Year: 2025, Volume and Issue: 230(4)

Published: April 29, 2025

Language: Английский

Citations

0
Enhancing Cognitive Performance Prediction through White Matter Hyperintensity Connectivity Assessment: A Multicenter Lesion Network Mapping Analysis of 3,485 Memory Clinic Patients DOI Creative Commons
Marvin Petersen, Mirthe Coenen, Charles DeCarli

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 28, 2024

Abstract Introduction White matter hyperintensities of presumed vascular origin (WMH) are associated with cognitive impairment and a key imaging marker in evaluating health. However, WMH volume alone does not fully account for the extent deficits mechanisms linking to these remain unclear. We propose that lesion network mapping (LNM), enables infer if brain networks connected lesions, could be promising technique enhancing our understanding role disorders. Our study employed this approach test following hypotheses: (1) LNM-informed markers surpass volumes predicting performance, (2) contributing map specific networks. Methods & results analyzed cross-sectional data 3,485 patients from 10 memory clinic cohorts within Meta VCI Map Consortium, using harmonized 4 domains segmentations. segmentations were registered standard space mapped onto existing normative structural functional connectome data. LNM quantify connectivity across 480 atlas-based gray white regions interest (ROI), resulting ROI-level scores. The capacity total regional scores function was compared ridge regression models nested cross-validation. predicted performance three (attention executive function, information processing speed, verbal memory) significantly better than volumes. did improve prediction language functions. analysis revealed higher scores, representing greater disruptive effects on connectivity, dorsal ventral attention lower performance. Conclusion Measures WMH-related current as traditional cerebrovascular disease. This highlights crucial effects, particularly attention-related regions, improving contributions impairment. Moving forward, refining contribute patient-tailored therapeutic interventions facilitate identification subgroups at risk

Language: Английский

Citations

3
Neurotransmitters’ white matter mapping unveils the neurochemical fingerprints of stroke DOI Creative Commons
Pedro Alves, Victor Nozais, Justine Y. Hansen

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 15, 2025

Distinctive patterns of brain neurotransmission frame determinant circuits for behavior. Understanding the relationship between their damage and cognitive impairment provoked by lesions could provide insights into pathophysiology therapeutics disabling disorders, like stroke. Yet, challenges neurotransmitter mapping in vivo have hampered this investigation. Here, we developed an MRI white matter atlas created a method to chart how stroke damages systems, which distinguishes pre postsynaptic disruption. Our model, trained tested two large patient samples, identified eight clusters with different neurochemical patterns. The associations patients' profiles were scarce, denoting that particular deficit might finer underlying disturbances are unfit granularity our analyses. These findings depict diaschisis patterns, deficits potential treatments, open new window tailored modulation. Neurotransmitters play key role function. was map pre- disruptions.

Language: Английский

Citations

0
A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes DOI
Anna Matsulevits, Pedro Alves, Manfredo Atzori

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Abstract Stroke remains a leading cause of mortality and long-term disability worldwide, with variable recovery trajectories posing substantial challenges in anticipating post-event care rehabilitation planning. To address these challenges, we established the NeuralCup consortium to benchmark predictive models stroke outcome through collaborative, data-driven approach. This study presents findings from 15 international teams who used comprehensive dataset including clinical imaging data, identify compare predictors motor, cognitive, emotional outcomes one year post-stroke. Our analyses integrated traditional statistical approaches novel machine learning algorithms uncover 'optimal recipes' for predicting each domain. The differences ‘optimal recipes’ reflect distinct brain mechanisms response different tasks. Key across all domains included infarct characteristics, T1-weighted MRI sequences, demographic factors. Additionally, integrating FLAIR white matter tract analysis significantly improved prediction cognitive motor outcomes, respectively. These support multifaceted approach prediction, underscoring potential collaborative data science develop personalized strategies that enhance quality life survivors. encourage further model development validation, provide access training at http://neuralcup.bcblab.com.

Language: Английский

Citations

0
Preserved Corticospinal Tract Revealed by Acute Perfusion Imaging Relates to Better Outcome After Thrombectomy in Stroke DOI
Philipp Koch,

Linda F. Rudolf,

Peter Schramm

et al.

Stroke, Journal Year: 2023, Volume and Issue: 54(12), P. 3081 - 3089

Published: Nov. 27, 2023

The indication for mechanical thrombectomy (MT) in stroke patients with large vessel occlusion has been constantly expanded over the past years. Despite remarkable treatment effects at group level clinical trials, many remain severely disabled even after successful recanalization. A better understanding of this outcome variability will help to improve decision-making on MT acute stage. Here, we test whether current models can be refined by integrating information preservation corticospinal tract as a functionally crucial white matter derived from perfusion imaging. We retrospectively analyzed 162 and anterior circulation who were admitted University Medical Center Lübeck between 2014 2020 underwent MT. ischemic core was defined fully automatized based computed tomography cerebral blood volume data using outlier detection clustering algorithms. Normative whole-brain structural connectivity used infer affected or preserved. Ordinal logistic regression correlate modified Rankin Scale 90 days. associated reduced risk worse functional occlusion-stroke undergoing MT, an odds ratio 0.28 (95% CI, 0.15-0.53). This association still significant adjusting multiple confounding covariables, such age, lesion load, initial symptom severity, sex, side, recanalization status. preinterventional perfusion-based surrogate disconnectivity is strongly outcomes If validated independent samples concept could serve novel tool understand intersubject stroke.

Language: Английский

Citations

7
White Matter Microstructural Correlates of Cognitive and Motor Functioning Revealed via Multimodal Multivariate Analysis DOI Creative Commons
Zaki Alasmar, Stefanie A Tremblay,

Tobias R. Baumeister

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 8, 2024

1. Abstract Recent advances in cognitive neuroscience emphasise the importance of healthy white matter (WM) optimal behavioural functioning. It is now widely accepted that brain connectivity via WM contributes to emergence behaviour. However, association between microstructure fibres and behaviour poorly understood. This part due indirect overlapping methods assessing microstructure, use overly simplistic approaches Here, we used Mahalanobis Distance (D2) integrate 10 metrics derived from multimodal neuroimaging have strong ties microstructure. The D2 metric was chosen because it accounts for metrics’ covariance as measures voxelwise distance every subject average; thus providing a robust multiparametric assessment To examine WM-behaviour associations, multivariate correlation correlates 2 motor tasks, which allowed us compare within across domains WM. We observed organised cognitive, motor, integrative variables are widespread their associations with WM, frontal parietal regions. Our results highlight complex nature behaviour, show need modelling when examining brain-behaviour associations.

Language: Английский

Citations

2
Symptomatology after damage to the angular gyrus through the lenses of modern lesion-symptom mapping DOI Creative Commons
Mohamed L. Seghier

Cortex, Journal Year: 2024, Volume and Issue: 179, P. 77 - 90

Published: Aug. 3, 2024

Language: Английский

Citations

2
The morphospace of the brain-cognition organisation DOI Creative Commons
Valentina Pacella, Victor Nozais, Lia Talozzi

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Sept. 30, 2024

Language: Английский

Citations

2
Functional anatomy and topographical organization of the frontotemporal arcuate fasciculus DOI Creative Commons
Gianpaolo Antonio Basile, Victor Nozais, Angelo Quartarone

et al.

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: Dec. 19, 2024

Abstract Traditionally, the frontotemporal arcuate fasciculus (AF) is viewed as a single entity in anatomo-clinical models. However, it unclear if distinct cortical origin and termination patterns within this bundle correspond to specific language functions. We use track-weighted dynamic functional connectivity, hybrid imaging technique, study AF structure function two datasets of healthy subjects. Here we show that can be subdivided based on changes connectivity at streamline endpoints. An unsupervised parcellation algorithm reveals spatially segregated subunits, which are then functionally quantified through meta-analysis. This approach identifies three clusters - ventral, middle, dorsal each linked different frontal temporal regions likely involved various production comprehension aspects. Our findings may have relevant implications for understanding anatomy well its contribution linguistic non-linguistic

Language: Английский

Citations

2
Indirect functional connectivity does not predict overall survival in glioblastoma DOI Creative Commons
Lorenzo Pini, Giuseppe Lombardi, Giulio Sansone

et al.

Neurobiology of Disease, Journal Year: 2024, Volume and Issue: 196, P. 106521 - 106521

Published: April 30, 2024

Lesion network mapping (LNM) is a popular framework to assess clinical syndromes following brain injury. The classical approach involves embedding lesions from patients into normative functional connectome and using the corresponding maps as proxies for disconnections. However, previous studies indicated limited predictive power of this in behavioral deficits. We hypothesized similarly low predictiveness overall survival (OS) glioblastoma (GBM). A retrospective dataset with GBM was included (n = 99). masks were registered space compute disconnectivity maps. consisted data 173 healthy subjects obtained Human Connectome Project. modified version LNM then applied core regions masks. Linear regression, classification, principal component (PCA) analyses conducted explore relationship between OS. OS considered both continuous categorical (low, intermediate, high survival) variable. results revealed no significant associations disconnection strength when analyzed at voxel-wise classification levels. Moreover, stratified different groups did not exhibit differences connectivity patterns. spatial similarity among first PCA each group suggested lack distinctive patterns associated duration. Compared indirect structural measures, does provide GBM. These findings are consistent research that demonstrated limitations measures predicting outcomes, underscoring need more comprehensive methodologies deeper understanding factors influencing outcomes challenging disease.

Language: Английский

Citations

1