Clinical and Neurophysiological predictors of the functional outcome in right-hemisphere stroke DOI Creative Commons
Francesco Di Gregorio, Giada Lullini, Silvia Orlandi

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121059 - 121059

Published: Jan. 1, 2025

Language: Английский

Leveraging Factors of Self-Efficacy and Motivation to Optimize Stroke Recovery DOI Creative Commons
Rachana Gangwani, Amelia Cain,

Amy Collins

et al.

Frontiers in Neurology, Journal Year: 2022, Volume and Issue: 13

Published: Feb. 24, 2022

The International Classification of Functioning, Disability and Health framework recognizes that an individual's functioning post-stroke reflects interaction between their health condition contextual factors encompassing personal environmental factors. Personal significantly impact rehabilitation outcomes as they determine how individual evaluates situation copes with in daily life. A key factor is self-efficacy—an belief capacity to achieve certain outcomes. Self-efficacy influences motivational state execute behaviors necessary for achieving desired Stroke practice research now acknowledge self-efficacy motivation critical elements recovery, increasing evidence highlights contributions motor (re)learning. Given the informative value neuroimaging-based biomarkers stroke, elucidating neurological underpinnings may optimize recovery. In this review, we examine role stroke identify potential neural substrates underlying these from current neuroimaging literature, discuss leveraging associated has advance field rehabilitation.

Language: Английский

Citations

52

Electroencephalogram (EEG) With or Without Transcranial Magnetic Stimulation (TMS) as Biomarkers for Post-stroke Recovery: A Narrative Review DOI Creative Commons
Zafer Keser, Samuel C. Buchl, Nathan A. Seven

et al.

Frontiers in Neurology, Journal Year: 2022, Volume and Issue: 13

Published: Feb. 22, 2022

Stroke is one of the leading causes death and disability. Despite high prevalence stroke, characterizing acute neural recovery patterns that follow stroke predicting long-term remains challenging. Objective methods to quantify characterize injury are still lacking. Since neuroimaging have a poor temporal resolution, EEG has been used as method for post-stroke mechanisms various deficits including motor, language, cognition well treatment response experimental therapies. In addition, transcranial magnetic stimulation (TMS), form non-invasive brain stimulation, in conjunction with (TMS-EEG) evaluate neurophysiology variety indications. TMS-EEG significant potential exploring connectivity using focal TMS-evoked potentials oscillations, which may allow system-specific delineation after stroke. this review, we summarize use alone or combination TMS cognition, functional/global recovery. Overall, leads reduction higher frequency activity (≥8 Hz) intra-hemispheric lesioned hemisphere, creates an imbalance between non-lesioned hemispheres. Compensatory hemisphere mostly unfavorable outcomes further aggravated interhemispheric imbalance. Balanced increased intrahemispheric coherence networks correlates improved studies reveal clinical importance cortical reactivity functional within sensorimotor cortex motor Although support prognostic value TMS-EEG, more needed determine its utility biomarker across domains hemispatial neglect. As complement MRI-based technologies, EEG-based technologies accessible valuable tools neurology.

Language: Английский

Citations

39

Biomarkers for prognostic functional recovery poststroke: A narrative review DOI Creative Commons
Jiaqi Zhang, Dalinda Isabel Sánchez-Vidaña,

Jackie Ngai-Man Chan

et al.

Frontiers in Cell and Developmental Biology, Journal Year: 2023, Volume and Issue: 10

Published: Jan. 9, 2023

Prediction of poststroke recovery can be expressed by prognostic biomarkers that are related to the pathophysiology stroke at cellular and molecular level as well brain structural functional reserve after systems neuroscience level. This study aimed review potential predict recovery.

Language: Английский

Citations

26

Exploring neural tracking of acoustic and linguistic speech representations in individuals with post‐stroke aphasia DOI Creative Commons
Jill Kries, Pieter De Clercq, Marlies Gillis

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(8)

Published: May 26, 2024

Abstract Aphasia is a communication disorder that affects processing of language at different levels (e.g., acoustic, phonological, semantic). Recording brain activity via Electroencephalography while people listen to continuous story allows analyze responses acoustic and linguistic properties speech. When the neural aligns with these speech properties, it referred as tracking. Even though measuring tracking may present an interesting approach studying aphasia in ecologically valid way, has not yet been investigated individuals stroke‐induced aphasia. Here, we explored representations chronic phase after stroke age‐matched healthy controls. We found decreased (envelope envelope onsets) In addition, word surprisal displayed amplitudes around 195 ms over frontal electrodes, although this effect was corrected for multiple comparisons. These results show there potential capture impairments by However, more research needed validate results. Nonetheless, exploratory study shows naturalistic, presents powerful

Language: Английский

Citations

14

Neurophysiological Markers of Adaptation and Compensation Following Lower Limb Amputation: An Analysis of EEG Oscillations and Clinical Predictors from the DEFINE Cohort Study DOI Creative Commons

Guilherme J. M. Lacerda,

Valton Costa, Lucas Camargo

et al.

Neurology International, Journal Year: 2025, Volume and Issue: 17(2), P. 21 - 21

Published: Jan. 28, 2025

Background: Neuroplasticity, involving cortical and subcortical reorganization, plays a critical role in the adaptation compensation process post-amputation. However, underlying neurophysiological changes remain unclear, particularly brain oscillations. Methods: This is cross-sectional analysis that includes baseline data from 48 individuals with lower limb amputation our DEFINE Cohort Study project. EEG were collected using 64-channel system during 5-min resting-state period. Preprocessed analyzed for delta alpha oscillations across frontal, central, parietal regions. Logistic regression models examined associations between clinical variables, including cognition (MoCA), functional independence (FIM), phantom sensations (PLS). Results: The multivariate logistic revealed distinct patterns of association variables. Delta inversely associated cognitive scores (OR: 0.69; p = 0.048), while higher power was related to absence PLS 58.55; < 0.01). Frontal positively linked function 1.55; 0.02) but negatively 0.75; 0.04). Conclusions: These findings suggest frequencies, such as oscillations, play potential compensatory rhythms. In contrast, may reflect more adapted pattern reorganization after amputation.

Language: Английский

Citations

1

Application and research progress of different frequency tACS in stroke rehabilitation: A systematic review DOI Creative Commons
Ding Xue, Yu Zhou, Yang Liu

et al.

Brain Research, Journal Year: 2025, Volume and Issue: 1852, P. 149521 - 149521

Published: Feb. 19, 2025

Language: Английский

Citations

1

Focal lesions induce large-scale percolation of sleep-like intracerebral activity in awake humans DOI Creative Commons
Simone Russo, Andrea Pigorini, Ezequiel Mikulan

et al.

NeuroImage, Journal Year: 2021, Volume and Issue: 234, P. 117964 - 117964

Published: March 23, 2021

Focal cortical lesions are known to result in large-scale functional alterations involving distant areas; however, little is about the electrophysiological mechanisms underlying these network effects. Here, we addressed this issue by analysing short and long distance intracranial effects of controlled structural humans. The changes Stereo-Electroencephalographic (SEEG) activity after Radiofrequency-Thermocoagulation (RFTC) recorded 21 epileptic subjects were assessed with respect baseline resting wakefulness sleep activity. In addition, Cortico-Cortical Evoked Potentials (CCEPs) before lesion employed interpret individual long-range connectivity patterns. We found that small ablations lead generation propagation sleep-like slow waves within awake brain. These match those same during sleep, prevalent perilesional areas, but can percolate up distances 60 mm through specific connections, as predicted CCEPs. Given impact on information processing plasticity, demonstrating their intrusion percolation brain add key elements our understanding dysfunction injuries.

Language: Английский

Citations

56

Up and Down States During Slow Oscillations in Slow-Wave Sleep and Different Levels of Anesthesia DOI Creative Commons
Melody Torao-Angosto, Arnau Manasanch, Maurizio Mattia

et al.

Frontiers in Systems Neuroscience, Journal Year: 2021, Volume and Issue: 15

Published: Feb. 9, 2021

Slow oscillations are a pattern of synchronized network activity generated by the cerebral cortex. They consist Up and Down states, which periods interspersed with silence, respectively. However, even when this is unique dynamic regime transitions between not constant: there range oscillatory frequencies (0.1-4 Hz), duration vs. states during cycles variable. This opens many questions. Is constant relationship states? How much do they vary across conditions frequencies? Are different sub regimes within slow oscillations? To answer these questions, we aimed to explore concrete aspect oscillations, state durations, three conditions: deep anesthesia, light slow-wave sleep (SWS), in same chronically implanted rats. We found that anesthesia SWS have rather similar properties, occupying small area space. Deeper levels occupy larger region space, revealing large variety durations can emerge regime. In model, investigated parameters explain points our bifurcation diagram expressed.

Language: Английский

Citations

44

Relation Between EEG Measures and Upper Limb Motor Recovery in Stroke Patients: A Scoping Review DOI Creative Commons

Giada Milani,

Annibale Antonioni, Andrea Baroni

et al.

Brain Topography, Journal Year: 2022, Volume and Issue: 35(5-6), P. 651 - 666

Published: Sept. 22, 2022

Abstract Current clinical practice does not leverage electroencephalography (EEG) measurements in stroke patients, despite its potential to contribute post-stroke recovery predictions. We review the literature on effectiveness of various quantitative and qualitative EEG-based measures after as a tool predict upper limb motor outcome, relation timeframe applied experimental tasks. Moreover, we aim provide guidance use EEG assessment stroke, suggesting high for some metrics appropriate context. identified relevant papers (N = 16) from databases ScienceDirect, Web Science MEDLINE, assessed their methodological quality with Joanna Briggs Institute (JBI) Critical Appraisal. Preferred Reporting Systems Systematic Reviews Meta-Analyses Extension Scoping (PRISMA-ScR) Framework. Identified works used identify properties including event-related activation, spectral power physiologically bands, symmetry brain dynamics, functional connectivity, cortico-muscular coherence rhythmic coordination. was acquired resting state or behavioural conditions. Motor outcome mainly evaluated Upper Limb Fugl-Meyer Assessment. Despite great variability literature, data suggests that most promising quantifiers predicting are measures. Measures bands also show promise. suggest may improve our understanding dynamics during recovery, establishing prognosis choosing rehabilitation approach.

Language: Английский

Citations

34

Dissociations between spontaneous electroencephalographic features and the perturbational complexity index in the minimally conscious state DOI Creative Commons
Silvia Casarotto,

Gabriel Hassan,

Mario Rosanova

et al.

European Journal of Neuroscience, Journal Year: 2024, Volume and Issue: 59(5), P. 934 - 947

Published: March 1, 2024

Abstract The analysis of spontaneous electroencephalogram (EEG) is a cornerstone in the assessment patients with disorders consciousness (DoC). Although preserved EEG patterns are highly suggestive even unresponsive patients, moderately or severely abnormal difficult to interpret. Indeed, growing evidence shows that can be present despite either large delta reduced alpha activity EEG. Quantifying complexity responses direct cortical perturbations (perturbational index [PCI]) may complement observational approach and provide reliable when features inconclusive. To seek empirical this hypothesis, we compared PCI spectral measures same population minimally conscious state (MCS) ( n = 40) hospitalized rehabilitation facilities. We found remarkable variability across MCS as healthy controls: particular, pattern predominant power—more often observed vegetative state/unresponsive wakefulness syndrome (VS/UWS) patients—was non‐negligible number patients. Conversely, values invariably fell above an externally validated cutoff for all consistent presence clearly discernible, albeit fleeting, behavioural signs awareness. These results confirm that, some rhythms inconclusive about actual capacity suggest perturbational effectively compensate pitfall practical implications individual patient's stratification tailored rehabilitation.

Language: Английский

Citations

9