Acute ischemic stroke under the functional magnetic resonance imaging perspective DOI Open Access
Marilise Katsurayama

Опубликована: Ноя. 30, 2022

Introduction: Stroke is the leading cause of death worldwide, and in Brazil, it highest risk premature death.Prognostic predictors functional outcome stroke as subtypes, structural location, ischemic lesion size, have been described.However, hemisphere's role not well established.In context acute (AIS), Functional Magnetic Resonance Imaging (fMRI) emerged a prominent tool research on survival, revealing dynamic evolution recovery after stroke.Nevertheless, fewer studies evaluated impairment predicted AIS.Objective: Our objective was to characterize brain connectivity (FC) alterations patients with AIS (analyzing 12 large-scale Networks (NWs) Resting-State fMRI) evaluate impact side size disruption NWs.Methods: We included 38 subjects (59±7years, 22 women) up 72 hours between March 2017 May 2019.They were submitted Neurovascular an RS fMRI Protocol.First, we divided into two groups according hemisphere affected (Right Hemisphere [RH]=19; Left [LH]=19) compared 44 healthy controls (61±6years, 24 women).Images processed analyzed software toolbox UF2C SPM12/MATLAB.The analyses occurred levels.For first level, individual matrices generated based extraction time series from 70 ROIs (Regions Interest) NWs, constructing Pearson's Cross-Correlation; second-level analysis used T-tests make comparisons controls.Results: In our sample, high degree FC associated poor when left side, displaying bilateral widespread pattern alterations.Given higher number extensive injuries LH (Non-Lacunar lesions), proceed counterproof by subdividing them lesion's (Lacunar RH LH, Non-Lacunar LH).The results observed phase reinforced importance laterality patient outcome.The group presented most severe abnormal FC. Conclusion:The abnormalities network suggest that causes whole brain's networks' topological properties, presumably related their recovery.RS-fMRI emerges promising scenario since can be wide range different levels cognitive capability or dysfunction (it does require ability perform particular task).Furthermore, NWs changes identified hemisphere-dependent, potentially contributing better understanding pathophysiology eventually providing biomarkers future diagnostic therapeutic strategies for individualized rehabilitation plan.

Язык: Английский

Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide DOI Creative Commons
Sook‐Lei Liew, Artemis Zavaliangos‐Petropulu, Nicolas Schweighofer

и другие.

Brain Communications, Год журнала: 2021, Номер 3(4)

Опубликована: Окт. 1, 2021

Up to two-thirds of stroke survivors experience persistent sensorimotor impairments. Recovery relies on the integrity spared brain areas compensate for damaged tissue. Deep grey matter structures play a critical role in control and regulation circuits. The goal this work is identify associations between volumes subcortical nuclei behaviour at different timepoints after stroke. We pooled high-resolution T1-weighted MRI scans behavioural data 828 individuals with unilateral from 28 cohorts worldwide. Cross-sectional analyses using linear mixed-effects models related post-stroke non-lesioned (Bonferroni-corrected, P < 0.004). tested subacute (≤90 days) chronic (≥180 subgroups separately, exploratory early (≤21 across all time. Sub-analyses were also performed based class deficits (impairment, activity limitations) side lesioned hemisphere. Worse was associated smaller ipsilesional thalamic volume both (n = 179; d 0.68) 274, 0.46) In 404), worse putamen (d 0.52) nucleus accumbens 0.39) volumes, larger lateral ventricle -0.42). impairment specifically (measured by Fugl-Meyer Assessment; n 256) 0.72) -0.41) while several measures limitations 116) showed no significant relationships. full cohort time 828), 0.23), 0.33), thalamus 0.33) -0.23). demonstrate relationships reduced deep that stroke, which differ measure. These findings provide additional insight into how cortico-thalamo-striatal circuits support outcomes.

Язык: Английский

Процитировано

15
Combined lesion-deficit and fMRI approaches in single-case studies: unique contributions to cognitive neuroscience DOI Creative Commons
Carolina Deifelt Streese, Daniel Tranel

Current Opinion in Behavioral Sciences, Год журнала: 2021, Номер 40, С. 58 - 63

Опубликована: Фев. 10, 2021

Язык: Английский

Процитировано

13
Chronic Stroke Sensorimotor Impairment Is Related to Smaller Hippocampal Volumes: An ENIGMA Analysis DOI Creative Commons
Artemis Zavaliangos‐Petropulu,

Bethany Lo,

Miranda R. Donnelly

и другие.

Journal of the American Heart Association, Год журнала: 2022, Номер 11(10)

Опубликована: Май 16, 2022

Background Persistent sensorimotor impairments after stroke can negatively impact quality of life. The hippocampus is vulnerable to poststroke secondary degeneration and involved in behavior but has not been widely studied within the context upper‐limb impairment. We investigated associations between non‐lesioned hippocampal volume upper limb impairment people with chronic stroke, hypothesizing that smaller ipsilesional volumes would be associated greater Methods Results Cross‐sectional T1‐weighted magnetic resonance images brain were pooled from 357 participants 18 research cohorts ENIGMA (Enhancing NeuoImaging Genetics through Meta‐Analysis) Stroke Recovery Working Group. Sensorimotor was estimated FMA‐UE (Fugl‐Meyer Assessment Upper Extremity). Robust mixed‐effects linear models used test (ipsilesional contralesional separately; Bonferroni‐corrected, P <0.025), controlling for age, sex, lesion volume, lesioned hemisphere. In exploratory analyses, we tested a sex interaction relationships damage, volume. Greater significantly ( =0.005; β=0.16) =0.96; β=0.003) independent other covariates =0.001; β=0.26). Women showed progressively worsening =0.008; β=−0.26) =0.006; β=−0.27) compared men. Hippocampal size <0.001; β=−0.21) extent damage =0.003; β=−0.15). Conclusions present study identifies novel are caused by may stronger women.

Язык: Английский

Процитировано

8
Tracer kinetic assessment of blood–brain barrier leakage and blood volume in cerebral small vessel disease: Associations with disease burden and vascular risk factors DOI Creative Commons
Michael Stringer,

Anna K. Heye,

Paul A. Armitage

и другие.

NeuroImage Clinical, Год журнала: 2021, Номер 32, С. 102883 - 102883

Опубликована: Янв. 1, 2021

Subtle blood–brain barrier (BBB) permeability increases have been shown in small vessel disease (SVD) using various analysis methods. Following recent consensus recommendations, we used Patlak tracer kinetic analysis, considered optimal low states, to quantify permeability-surface area product (PS), a BBB leakage estimate, and blood plasma volume (vP) 201 patients with SVD who underwent dynamic contrast-enhanced MRI scans. We ran multivariable regression models quantitative or qualitative metric of white matter hyperintensity (WMH) severity, demographic vascular risk factors. PS increased WMH severity grey (B = 0.15, Confidence Interval (CI): [0.001,0.299], p 0.049) normal-appearing 0.015, CI: [−0.008,0.308], 0.062). Patients more severe had lower vP -0.088, [−0.138,-0.039], < 0.001), but higher 0.031, [−0.004,0.065], 0.082). were at older ages WMH, matter. conclude tissue suggests impaired integrity beyond visible lesions indicating that the microvasculature is compromised WMH. dysfunction an important mechanism SVD, associations clinical variables are complex underlying damage affecting surface may alter interpretation results.

Язык: Английский

Процитировано

10
A large public dataset of annotated clinical MRIs of patients with acute stroke and linked metadata DOI Creative Commons
Chin-Fu Liu, Richard Leigh, Brenda Johnson

и другие.

Research Square (Research Square), Год журнала: 2022, Номер unknown

Опубликована: Май 31, 2022

Abstract To extract meaningful and reproducible models of brain function from stroke images, for both clinical research proposes, is a daunting task severely hindered by the great variability lesion frequency patterns. Large datasets are therefore imperative, as well fully automated image post-processing tools to analyze them. The development such tools, particularly with artificial intelligence, highly dependent on availability large model training testing. We present public dataset 2,888 multimodal MRIs patients acute early subacute stroke, manual segmentation, metadata. provides high quality, scale, human-supervised knowledge feed intelligence enable further automate several tasks that currently rely human labor, labeling, calculation disease-relevant scores, lesion-based studies relating maps

Язык: Английский

Процитировано

3
Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning DOI
Sudhakar Tummala, Venkata Sainath Gupta Thadikemalla, Barbara A. K. Kreilkamp

и другие.

Computers in Biology and Medicine, Год журнала: 2021, Номер 139, С. 104997 - 104997

Опубликована: Ноя. 1, 2021

Язык: Английский

Процитировано

4
Acute ischemic stroke under the functional magnetic resonance imaging perspective DOI Open Access
Marilise Katsurayama

Опубликована: Ноя. 30, 2022

Introduction: Stroke is the leading cause of death worldwide, and in Brazil, it highest risk premature death.Prognostic predictors functional outcome stroke as subtypes, structural location, ischemic lesion size, have been described.However, hemisphere's role not well established.In context acute (AIS), Functional Magnetic Resonance Imaging (fMRI) emerged a prominent tool research on survival, revealing dynamic evolution recovery after stroke.Nevertheless, fewer studies evaluated impairment predicted AIS.Objective: Our objective was to characterize brain connectivity (FC) alterations patients with AIS (analyzing 12 large-scale Networks (NWs) Resting-State fMRI) evaluate impact side size disruption NWs.Methods: We included 38 subjects (59±7years, 22 women) up 72 hours between March 2017 May 2019.They were submitted Neurovascular an RS fMRI Protocol.First, we divided into two groups according hemisphere affected (Right Hemisphere [RH]=19; Left [LH]=19) compared 44 healthy controls (61±6years, 24 women).Images processed analyzed software toolbox UF2C SPM12/MATLAB.The analyses occurred levels.For first level, individual matrices generated based extraction time series from 70 ROIs (Regions Interest) NWs, constructing Pearson's Cross-Correlation; second-level analysis used T-tests make comparisons controls.Results: In our sample, high degree FC associated poor when left side, displaying bilateral widespread pattern alterations.Given higher number extensive injuries LH (Non-Lacunar lesions), proceed counterproof by subdividing them lesion's (Lacunar RH LH, Non-Lacunar LH).The results observed phase reinforced importance laterality patient outcome.The group presented most severe abnormal FC. Conclusion:The abnormalities network suggest that causes whole brain's networks' topological properties, presumably related their recovery.RS-fMRI emerges promising scenario since can be wide range different levels cognitive capability or dysfunction (it does require ability perform particular task).Furthermore, NWs changes identified hemisphere-dependent, potentially contributing better understanding pathophysiology eventually providing biomarkers future diagnostic therapeutic strategies for individualized rehabilitation plan.

Язык: Английский

Процитировано

0