Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke

Proceedings of the National Academy of Sciences, Journal Year: 2016, Volume and Issue: 113(30)

Published: July 11, 2016

Significance Since the early days of neuroscience, relative merit structural vs. functional network accounts in explaining neurological deficits has been intensely debated. Using a large stroke cohort and machine-learning approach, we show that visual memory verbal are better predicted by connectivity than lesion location, motor location connectivity. In addition, disruption to subset cortical areas predicts general cognitive deficit (spanning multiple behavior domains). These results shed light on complementary value stroke, provide physiological mechanism for multidomain seen after stroke.

Language: Английский

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Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

Nature Communications, Journal Year: 2018, Volume and Issue: 9(1)

Published: June 14, 2018

Abstract Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals into intended movements of the paralyzed limb. However, efficacy and mechanisms BCI-based therapies remain unclear. Here we show that BCI coupled functional electrical stimulation (FES) elicits significant, clinically relevant, lasting motor recovery chronic survivors more effectively than sham FES. Such is associated quantitative signatures neuroplasticity. patients exhibit a significant after intervention, which remains 6–12 months end therapy. Electroencephalography analysis pinpoints differences favor group, mainly consisting an increase connectivity between areas affected hemisphere. This significantly correlated with improvement. Results illustrate how BCI–FES therapy can drive purposeful plasticity thanks contingent activation body natural efferent afferent pathways.

Language: Английский

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Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable

International Journal of Stroke, Journal Year: 2017, Volume and Issue: 12(5), P. 480 - 493

Published: July 1, 2017

The most difficult clinical questions in stroke rehabilitation are "What is this patient's potential for recovery?" and the best strategy person, given her/his profile?" Without answers to these questions, clinicians struggle make decisions regarding content focus of therapy, researchers design studies that inadvertently mix participants who have a high likelihood responding with those do not. Developing implementing biomarkers distinguish patient subgroups will help address issues unravel factors important recovery process. goal present paper provide consensus statement current state evidence biomarkers. Biomarkers motor, somatosensory, cognitive language domains across timeline post-stroke considered; on brain structure function, exclusion blood markers genetics. We considered ready be included trials, as well others promising but not so represent developmental priority. conclude an example illustrates utility research, demonstrating how inclusion biomarker may enhance future trials. In way, we propose way forward when where can include advance efficacy practice of, research into, after stroke.

Language: Английский

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Spontaneous and Therapeutic-Induced Mechanisms of Functional Recovery After Stroke

Translational Stroke Research, Journal Year: 2016, Volume and Issue: 8(1), P. 33 - 46

Published: April 25, 2016

Language: Английский

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The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial

Journal of NeuroEngineering and Rehabilitation, Journal Year: 2017, Volume and Issue: 14(1)

Published: June 7, 2017

Many studies have demonstrated the usefulness of repetitive task practice by using robotic-assisted gait training (RAGT) devices, including Lokomat, for treatment lower limb paresis. Virtual reality (VR) has proved to be a valuable tool improve neurorehabilitation training. The aim our pilot randomized clinical trial was understand neurophysiological basis motor function recovery induced association between RAGT (by Lokomat device) and VR (an animated avatar in 2D VR) studying electroencephalographic (EEG) oscillations. Twenty-four patients suffering from first unilateral ischemic stroke chronic phase were into two groups. One group performed 40 sessions with (RAGT + VR), whereas other underwent without (RAGT-VR). outcomes (clinical, kinematic, EEG) measured before after robotic intervention. As compared RAGT-VR group, all improved Rivermead Mobility Index Tinetti Performance Oriented Assessment. Moreover, they showed stronger event-related spectral perturbations high-γ β bands larger fronto-central cortical activations affected hemisphere. robotic-based rehabilitation combined hemiparesis an improvement balance. EEG data suggest that use may entrain several brain areas (probably encompassing mirror neuron system) involved planning learning, thus leading enhanced performance. Retrospectively registered Clinical Trials on 21-11-2016, n. NCT02971371 .

Language: Английский

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Review: Parkinson's disease: from synaptic loss to connectome dysfunction

Neuropathology and Applied Neurobiology, Journal Year: 2015, Volume and Issue: 42(1), P. 77 - 94

Published: Nov. 27, 2015

Abstract Parkinson's disease ( PD ) is a common neurodegenerative disorder with prominent loss of nigro‐striatal dopaminergic neurons. The resultant dopamine DA deficiency underlies the onset typical motor symptoms MS ). Nonetheless, individuals affected by usually show plethora nonmotor NMS ), part which may precede signs. Besides neuron degeneration, key neuropathological alteration in brain Lewy pathology. This characterized abnormal intraneuronal (Lewy bodies) and intraneuritic neurites) deposits fibrillary aggregates mainly composed α ‐synuclein. pathology has been hypothesized to progress stereotypical pattern over course ‐synuclein mutations multiplications have found cause monogenic forms disease, thus raising question as whether this protein pathogenic disorder. Findings showing that majority are located at presynapses synaptic axonal coupled fact functional connectivity changes correlate progression, strengthen idea. Indeed, altering proper action molecules involved control neurotransmitter release re‐cycling well structural plasticity, deposition crucially impair trafficking, resulting series noxious events, whose pressure inevitably degenerate into neuronal damage death. Here, we provide timely overview molecular features disclose their possible translation clinical through disconnection.

Language: Английский

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Brain networks and their relevance for stroke rehabilitation

Clinical Neurophysiology, Journal Year: 2019, Volume and Issue: 130(7), P. 1098 - 1124

Published: April 15, 2019

Language: Английский

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Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review

Sensors, Journal Year: 2022, Volume and Issue: 22(15), P. 5865 - 5865

Published: Aug. 5, 2022

Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better resolution, though it is constrained by its One important merit shared the that both modalities have favorable portability could be integrated into compatible experimental setup, providing compelling ground development of multimodal fNIRS-EEG integration analysis approach. Despite growing number studies using concurrent designs reported in recent years, methodological reference past remains unclear. To fill this knowledge gap, review critically summarizes status methods currently used studies, an up-to-date overview guideline future projects to conduct studies. A literature search was conducted PubMed Web Science through 31 August 2021. After screening qualification assessment, 92 involving data recordings analyses were included final review. Specifically, three categories analyses, including EEG-informed fNIRS-informed parallel identified explained with detailed description. Finally, we highlighted current challenges potential directions research.

Language: Английский

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Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability

Journal of NeuroEngineering and Rehabilitation, Journal Year: 2023, Volume and Issue: 20(1)

Published: Feb. 15, 2023

Significant clinician training is required to mitigate the subjective nature and achieve useful reliability between measurement occasions therapists. Previous research supports that robotic instruments can improve quantitative biomechanical assessments of upper limb, offering reliable more sensitive measures. Furthermore, combining kinematic kinetic measurements with electrophysiological offers new insights unlock targeted impairment-specific therapy. This review presents common methods for analyzing neuromuscular data by describing their validity reporting measures.This paper reviews literature (2000-2021) on sensor-based measures metrics upper-limb (neurological) assessment, which have been shown correlate clinical test outcomes motor assessment. The search terms passive devices developed movement Journal conference papers stroke assessment were selected using PRISMA guidelines. Intra-class correlation values some are recorded, along model, type agreement, confidence intervals, when reported.A total 60 articles identified. assess various aspects performance, such as smoothness, spasticity, efficiency, planning, efficacy, accuracy, coordination, range motion, strength. Additional abnormal activation patterns cortical activity interconnections brain regions muscle groups; aiming characterize differences population who had a healthy population.Range mean speed, distance, normal path length, spectral arc number peaks, task time all demonstrated good excellent reliability, well provide finer resolution compared discrete tests. EEG power features multiple frequency bands interest, specifically relating slow fast frequencies comparing affected non-affected hemispheres, demonstrate populations at stages recovery. Further investigation needed evaluate missing information. In few studies neuroelectric signals, multi-domain approaches agreement further information during relearning phase. Combining in process will objective approach, relying less therapist expertise. suggests future work prevent biasedness selecting appropriate analysis.

Language: Английский

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Parvalbumin interneurons regulate rehabilitation-induced functional recovery after stroke and identify a rehabilitation drug

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

Published: March 15, 2025

Abstract Motor disability is a critical impairment in stroke patients. Rehabilitation has limited effect on recovery; but there no medical therapy for post-stroke recovery. The biological mechanisms of rehabilitation the brain remain unknown. Here, using photothrombotic model male mice, we demonstrate that after selectively enhances synapse formation presynaptic parvalbumin interneurons and postsynaptic neurons rostral forelimb motor area with axonal projections to caudal where was induced (stroke-projecting neuron). improves performance neuronal functional connectivity, while inhibition stroke-projecting diminishes Stroke-projecting show decreased dendritic spine density, reduced external synaptic inputs, lower proportion total GABAergic input. Parvalbumin regulate their activation during training necessary Furthermore, gamma oscillation, parvalbumin-regulated rhythm, increased rehabilitation-induced recovery animals Pharmacological enhancement interneuron function stroke, reproducing These findings identify circuits mediate rehabilitation-recovery possibility rational selection pharmacological agents deliver first molecular-rehabilitation therapeutic.

Language: Английский

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