A survey of brain network analysis by electroencephalographic signals DOI Open Access

Cuihua Luo,

Fali Li, Peiyang Li

et al.

Cognitive Neurodynamics, Journal Year: 2021, Volume and Issue: 16(1), P. 17 - 41

Published: June 14, 2021

Language: Английский

Subcortical-cortical dynamical states of the human brain and their breakdown in stroke DOI Creative Commons
Chiara Favaretto, Michele Allegra, Gustavo Deco

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Aug. 29, 2022

The mechanisms controlling dynamical patterns in spontaneous brain activity are poorly understood. Here, we provide evidence that cortical dynamics the ultra-slow frequency range (<0.01-0.1 Hz) requires intact cortical-subcortical communication. Using functional magnetic resonance imaging (fMRI) at rest, identify Dynamic Functional States (DFSs), transient but recurrent clusters of and subcortical regions synchronizing frequencies. We observe shifts temporally coincident with clusters, flexibly either limbic (hippocampus/amygdala), or nuclei (thalamus/basal ganglia). Focal lesions induced by stroke, especially those damaging white matter connections between basal ganglia/thalamus cortex, provoke anomalies fraction times, dwell transitions DFSs, causing a bias toward abnormal network integration. Dynamical observed 2 weeks after stroke recover time contribute to explaining neurological impairment long-term outcome.

Language: Английский

Citations

45

Recovery of neural dynamics criticality in personalized whole-brain models of stroke DOI Creative Commons
Rodrigo P. Rocha, Loren Koçillari, Samir Suweis

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: June 27, 2022

Abstract The critical brain hypothesis states that biological neuronal networks, because of their structural and functional architecture, work near phase transitions for optimal response to internal external inputs. Criticality thus provides function behavioral capabilities. We test this by examining the influence injury (strokes) on criticality neural dynamics estimated at level single participants using directly measured individual connectomes whole-brain models. Lesions engender a sub-critical state recovers over time in parallel with behavior. improvement is associated re-modeling specific white-matter connections. show personalized dynamical models poised track dynamics, alteration post-stroke, behavior participants.

Language: Английский

Citations

43

The emergence of multiscale connectomics-based approaches in stroke recovery DOI Creative Commons
Shahrzad Latifi, S. Thomas Carmichael

Trends in Neurosciences, Journal Year: 2024, Volume and Issue: 47(4), P. 303 - 318

Published: Feb. 23, 2024

Stroke is a leading cause of adult disability. Understanding stroke damage and recovery requires deciphering changes in complex brain networks across different spatiotemporal scales. While recent developments readout technologies progress network modeling have revolutionized current understanding the effects on at macroscale, reorganization smaller scale remains incompletely understood. In this review, we use conceptual framework graph theory to define from nano- macroscales. Highlighting stroke-related connectivity studies multiple scales, argue that multiscale connectomics-based approaches may provide new routes better evaluate structural functional remapping after during recovery.

Language: Английский

Citations

10

Long‐Term Post‐Stroke Cognition in Patients With Minor Ischemic Stroke is Related to Tract‐Based Disconnection Induced by White Matter Hyperintensities DOI Creative Commons
Renaud Lopes,

Grégory Kuchcinski,

Thibaut Dondaine

et al.

Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(2)

Published: Jan. 27, 2025

Over a third of minor stroke patients experience post-stroke cognitive impairment (PSCI), but no validated tools exist to identify at-risk early. This study investigated whether disconnection features derived from infarcts and white matter hyperintensities (WMH) could serve as markers for short- long-term decline in first-ever ischemic patients. First-ever (NIHSS ≤ 7) were prospectively followed at 72-h, 6 months, 36 months with tests brain MRI. Infarct WMH volumes semi-automatically assessed on DWI FLAIR sequences. Bayesian tract-based models estimated remote pathological effects WMH. Associations between outcomes analyzed using canonical correlation analyses, adjusted age, education, multiple comparisons. Among 105 (31% female, mean age 63 ± 12 years), infarct volume averaged 10.28 17.10 cm3 predominantly involved the middle cerebral artery territory (83%). burden was higher frontal periventricular matter. Infarct-based did not significantly relate PCSI. However, WMH-derived factor, involving commissural tracts, right superior longitudinal fasciculus, associated PSCI (OR = 9.96, p value 0.02) 12.27, 0.006), particularly executive/attention, language, visuospatial domains. unrelated volume, outperformed demographic clinical predictors PSCI. WMH-induced may be stroke. Routine MR-derived rehabilitation trials.

Language: Английский

Citations

1

Damage to the shortest structural paths between brain regions is associated with disruptions of resting-state functional connectivity after stroke DOI Creative Commons
Joseph C. Griffis,

Nicholas V. Metcalf,

Maurizio Corbetta

et al.

NeuroImage, Journal Year: 2020, Volume and Issue: 210, P. 116589 - 116589

Published: Jan. 30, 2020

Focal brain lesions disrupt resting-state functional connectivity, but the underlying structural mechanisms are unclear. Here, we examined direct and indirect effects of disconnections on connectivity in a large sample sub-acute stroke patients with heterogeneous lesions. We estimated impact each patient's lesion connectome by embedding diffusion MRI streamline tractography atlas constructed using data from healthy individuals. defined as loss connections between two regions, increases shortest path length regions that lack connections. then tested hypothesis disruptions would be more severe for disconnected than spared On average, nearly 20% all region pairs were to either directly or indirectly our sample, extensive associated primarily damage deep white matter locations. Importantly, both showed connections, respectively, although tended most sustained disconnections. Together, these results emphasize widespread impacts focal show reflected connectome. Further, they indicate addition disconnections, lesion-induced lengths structurally connected provide information about remote caused

Language: Английский

Citations

64

Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection DOI Creative Commons
Emily Olafson, Keith Jamison, Elizabeth Sweeney

et al.

NeuroImage, Journal Year: 2021, Volume and Issue: 245, P. 118642 - 118642

Published: Oct. 12, 2021

Motor recovery following ischemic stroke is contingent on the ability of surviving brain networks to compensate for damaged tissue. In rodent models, sensory and motor cortical representations have been shown remap onto intact tissue around lesion site, but remapping more distal sites (e.g. in contralesional hemisphere) has also observed. Resting state functional connectivity (FC) analysis employed study compensatory network adaptations humans, mechanisms time course are not well understood. Here, we examine longitudinal FC 23 first-episode pontine patients utilize a graph matching approach identify patterns reorganization during recovery. We quantified between several intervals ranging from 1 week 6 months stroke, demonstrated that areas undergo most frequently cerebellar/subcortical networks. Brain regions with structural connectome disruption due had over time. Finally, show correlated extent early late subacute phases, furthermore, individuals greater baseline impairment demonstrate extensive (from one two weeks post-stroke) this correlates better at months. Taken together, these results suggest our can quantify recovery-relevant, whole-brain after stroke.

Language: Английский

Citations

49

Post-Stroke Cognitive Impairment: Pathophysiological Insights into Brain Disconnectome from Advanced Neuroimaging Analysis Techniques DOI Creative Commons
Jae‐Sung Lim, Jae‐Joong Lee, Choong‐Wan Woo

et al.

Journal of Stroke, Journal Year: 2021, Volume and Issue: 23(3), P. 297 - 311

Published: Sept. 30, 2021

The neurological symptoms of stroke have traditionally provided the foundation for functional mapping brain. However, there are many unresolved aspects in our understanding cerebral activity, especially regarding high-level cognitive functions. This review provides a comprehensive look at pathophysiology post-stroke impairment light recent findings from advanced imaging techniques. Combining network neuroscience and clinical neurology, research focuses on how changes brain networks correlate with prognosis. More specifically, we first discuss general consequences lesions due to damage canonical resting-state large-scale or composition entire We also emerging methods, such as lesion-network gradient analysis, used study aforementioned events caused by lesions. Lastly, examine other patient vulnerabilities, superimposed amyloid pathology blood-brain barrier leakage, which potentially lead different outcomes compositions even presence similar knowledge will allow better provide theoretical basis development new treatments, neuromodulation.

Language: Английский

Citations

44

Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth DOI Creative Commons
Zaixu Cui, Adam Pines,

Bart Larsen

et al.

Biological Psychiatry, Journal Year: 2022, Volume and Issue: 92(12), P. 973 - 983

Published: May 18, 2022

Language: Английский

Citations

35

Mapping correlated neurological deficits after stroke to distributed brain networks DOI
Joshua S. Siegel,

Gordon L. Shulman,

Maurizio Corbetta

et al.

Brain Structure and Function, Journal Year: 2022, Volume and Issue: 227(9), P. 3173 - 3187

Published: July 26, 2022

Language: Английский

Citations

30

Indirect structural disconnection-symptom mapping DOI
Christoph Sperber, Joseph C. Griffis, Vanessa Kasties

et al.

Brain Structure and Function, Journal Year: 2022, Volume and Issue: 227(9), P. 3129 - 3144

Published: Sept. 1, 2022

Language: Английский

Citations

29