Behavior Clusters in Ischemic Stroke using NIHSS DOI Creative Commons
Louis Fabrice Tshimanga, Andrea Zanola,

Silvia Facchini

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 9, 2023

Abstract Purpose Stroke is a leading cause of death and disability. The subsequent dysfunctions relate to brain lesion location. complex relationship between behavioral symptoms location essential for care rehabilitation, useful understand the healthy brain. Such complexity eludes linear methods. Differently from previous works, this study clusters patients by recurrent profiles, then retrieves their neural correlates. Methods Prevalence, severity associations affecting are condensed in similarity measure profiles. computation specifically adheres ordinal nature NIHSS data. A network model links with strength proportional similarity. nodes classified through novel spectral clustering variation. Lesions each cluster’s used voxel-wise analysis statically validate findings. Results express co-occurring accordance literature on deficits covariance. Moreover, they show coherent groups lesions associated CT MRI scans. anatomical position significant voxels found aligned literature. Even when density maps overlap, well separated. Conclusion presented workflow offers concrete, clinically correlations individual patients-to-group associations, in-group co-occurrences symptoms, underlying mathematical assumptions, unsupervised machine learning techniques offer statistically robust results being further applied other multimodal biomedical

Language: Английский

Altered Functional Connectivity Between Cortical Premotor Areas and the Spinal Cord in Chronic Stroke DOI Creative Commons
Hanna Braaß, Silke Wolf,

Jan Feldheim

et al.

Stroke, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Neuroscience research has contributed significantly to understanding alterations in brain structure and function after ischemic stroke. Technical limitations have excluded the spinal cord from imaging-based research. Available data are restricted a few microstructural analyses, functional connectivity absent. The present study attempted close this knowledge gap assess corticospinal coupling chronic stroke their relation motor deficits. In cross-sectional study, patients with healthy controls underwent magnetic resonance imaging while performing simple force generation task at University Medical Center Hamburg-Eppendorf between September 2021 June 2023. Task-related activation was localized ipsilesional ventral premotor cortex, supplementary area, cervical cord. Psycho-physiological interactions linear modeling were used infer cortical regions associations clinical scores. Thirteen well-recovered (1 woman, 12 men; mean age, 62.6 years; time stroke: 47.6 months) 13 (5 women, 8 64.5 years) included. main finding that cortex area showed topographically distinct Specifically, we found reduced ipsilateral an enhanced intermediate central zones. Lower higher cortex-related couplings correlated residual This work provides first-in-human insights into stroke-related areas cord, suggesting different neuronal assemblies might be involved changes. It adds novel, promising approach better recovery developing innovative models comprehend treatment strategies stimulation.

Language: Английский

Citations

0

Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network DOI Creative Commons
Louis Fabrice Tshimanga, Andrea Zanola,

Silvia Facchini

et al.

Journal of Healthcare Informatics Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Language: Английский

Citations

0

Frontoparietal structural network disconnections correlate with outcome after a severe stroke DOI Creative Commons
Lukas Frontzkowski,

Felix Fehring,

Benedikt M. Frey

et al.

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

Published: March 24, 2024

Structural disconnectome analyses have provided valuable insights into how a stroke lesion results in widespread network disturbances and these relate to deficits, recovery patterns, outcome. Previous primarily focused on patients with relatively mild moderate deficits. However, outcomes vary among survivors of severe strokes, the mechanisms remain poorly understood. This study assesses association between lesion-induced disconnection outcome after stroke. Thirty-eight ischaemic underwent MRI brain imaging early longitudinal clinical follow-up. Lesion information was integrated normative connectome data infer individual profiles localized regional region-to-region pathway level. Ordinal logistic regressions were computed link modified Rankin Scale 3-6 months. Disconnections ipsilesional frontal, parietal temporal cortical areas significantly associated worse motor stroke, adjusted for initial deficit, volume, age. The analysis underlying pathways mediating this revealed location specific results: For prefrontal areas, driven by sparse intrahemispheric disconnections. In contrast, primary cortex, dorsal premotor various regions showed remarkable involvement either frontoparietal or additionally interhemispheric These indicate that multiple embedded structural correlates Specifically, cortices might gain particular importance as they structurally networks both hemispheres. shed novel light significance distinct

Language: Английский

Citations

0

Altered functional connectivity between cortical motor areas and the spinal cord in chronic stroke DOI Open Access
Hanna Braaß, Silke Wolf,

Jan Feldheim

et al.

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

Published: April 10, 2024

Abstract Background Neuroscience research has contributed significantly to understanding alterations in brain structure and function after ischemic stroke. Technical limitations have excluded the spinal cord from imaging-based research. Available data are restricted a few microstructural analyses, functional connectivity absent. The present study attempted close this knowledge gap assess corticospinal activation coupling changes chronic Methods Thirteen well-recovered stroke patients underwent MRI while performing simple force generation task. Task-related was localized ipsilesional primary motor cortex (M1), ventral premotor (PMV), supplementary area (SMA), as well cervical cord. Psycho-physiological interactions linear modeling were used infer between cortical regions their associations with deficits. Results main finding that PMV SMA showed topographically distinct Specifically, we found reduced ipsilateral an enhanced intermediate central zones. Lower SMA- higher PMV-related couplings correlated residual Conclusion This work provides first-in-human insights into stroke-related areas cord, suggesting different neuronal assemblies might be involved changes. It adds novel, promising approach better recovery developing innovative models comprehend treatment strategies stimulation.

Language: Английский

Citations

0

The lesion core extent modulates the impact of early perfusion mismatch imaging on outcome variability after thrombectomy in stroke DOI Creative Commons

Maria Marburg,

Linda F. Rudolf,

Christine Matthis

et al.

Frontiers in Neurology, Journal Year: 2024, Volume and Issue: 15

Published: May 22, 2024

Introduction Despite profitable group effects on functional outcomes after mechanical thrombectomy (MT) in large vessel occlusion (LVO), many patients with successful reperfusion show a non-favorable long-term outcome, highlighting the necessity to identify potential biomarkers predicting outcome variability. In this regard, role of perfusion mismatch imaging for variability early time window within 6 h symptom onset is matter debate. We attempted investigate under which conditions accounts thrombectomy. Patients and methods retrospective single-center study, we examined 190 consecutive LVO who were admitted Medical Center Lübeck onset, all whom underwent MT. Perfusion was quantified by applying Alberta Stroke Program Early CT score (ASPECTS) CT-measured cerebral blood flow (CBF-ASPECTS) subtracting it from an ASPECTS application volume (CBV-ASPECTS), i.e., mismatch. Using multivariate ordinal regression models, associations between modified Rankin Scale (mRS) 90 days assessed. Furthermore, interaction core lesion calculated evaluate conditional associations. Results did not correlate when corrected multiple influencing covariables. However, interactions CBV-ASPECTS [OR: 1.12 (1.06–1.18), p -value < 0.001], as well NCCT-ASPECTS 1.15 (1.06–1.25), significant association outcomes. Model comparisons revealed that, profoundly, volumes (CBV-ASPECTS or 6), showed negative correlation mRS. Discussion conclusion first provides valuable insights into stroke receiving but only ischemic lesions.

Language: Английский

Citations

0

Frontoparietal Structural Network Disconnections Correlate With Outcome After a Severe Stroke DOI Creative Commons
Lukas Frontzkowski,

Felix Fehring,

Benedikt M. Frey

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(16)

Published: Nov. 1, 2024

ABSTRACT Structural disconnectome analyses have provided valuable insights into how a stroke lesion results in widespread network disturbances and these relate to deficits, recovery patterns, outcomes. Previous primarily focused on patients with relatively mild moderate deficits. However, outcomes vary among survivors of severe strokes, the mechanisms remain poorly understood. This study assesses association between lesion‐induced disconnection outcome after stroke. Thirty‐eight ischaemic underwent MRI brain imaging early longitudinal clinical follow‐up. Lesion information was integrated normative connectome data infer individual profiles localized regional region‐to‐region pathway level. Ordinal logistic regressions were computed link modified Rankin Scale 3–6 months. Disconnections ipsilesional frontal, parietal, temporal cortical areas significantly associated worse motor stroke, adjusted for initial deficit, volume, age. The analysis underlying pathways mediating this revealed location‐specific results: For prefrontal, areas, driven by sparse intrahemispheric disconnections. In contrast, primary cortex, dorsal premotor various parietal regions showed remarkable involvement either frontoparietal or additionally interhemispheric These indicate that multiple embedded structural correlates Specifically, cortices might gain particular importance as they structurally networks both hemispheres. shed novel light significance distinct

Language: Английский

Citations

0

Behavior Clusters in Ischemic Stroke using NIHSS DOI Creative Commons
Louis Fabrice Tshimanga, Andrea Zanola,

Silvia Facchini

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 9, 2023

Abstract Purpose Stroke is a leading cause of death and disability. The subsequent dysfunctions relate to brain lesion location. complex relationship between behavioral symptoms location essential for care rehabilitation, useful understand the healthy brain. Such complexity eludes linear methods. Differently from previous works, this study clusters patients by recurrent profiles, then retrieves their neural correlates. Methods Prevalence, severity associations affecting are condensed in similarity measure profiles. computation specifically adheres ordinal nature NIHSS data. A network model links with strength proportional similarity. nodes classified through novel spectral clustering variation. Lesions each cluster’s used voxel-wise analysis statically validate findings. Results express co-occurring accordance literature on deficits covariance. Moreover, they show coherent groups lesions associated CT MRI scans. anatomical position significant voxels found aligned literature. Even when density maps overlap, well separated. Conclusion presented workflow offers concrete, clinically correlations individual patients-to-group associations, in-group co-occurrences symptoms, underlying mathematical assumptions, unsupervised machine learning techniques offer statistically robust results being further applied other multimodal biomedical

Language: Английский

Citations

0