Diffusion tensor imaging predicts the outcome of constraint-induced movement therapy in chronic infarction patients with hemiplegia: A pilot study

Marumoto, Kohei; Koyama, Tetsuo; Hosomi, Masashi; Takebayashi, Takashi; Hanada, Keisuke; Ikeda, Sayaka; Kodama, Norihiko; Domen, Kazuhisa

doi:10.3233/rnn-120285

Cited by 14 publications

(17 citation statements)

References 35 publications

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“…between rsFC and motor function may be contaminated by the brain functional disruption owing to the stroke and/or negative adaptation to dis-use of the upper limb owing to sensory-motor functional paresis, we speculate the present intervention restored and advanced the sensory-motor and brain function in parallel. A similar phenomenon was demonstrated in a previous study from another group (Marumoto et al, 2013), and it may represent a common state in patients with stroke. The mechanism underlying these relationships is an interesting discussion point and it should be investigated in a future study.…”

Section: Discussionsupporting

confidence: 88%

A Case Series Clinical Trial of a Novel Approach Using Augmented Reality That Inspires Self-body Cognition in Patients With Stroke: Effects on Motor Function and Resting-State Brain Functional Connectivity

Kaneko

Shindo

Yoneta

et al. 2019

Front. Syst. Neurosci.

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Barring a few studies, there are not enough established treatments to improve upper limb motor function in patients with severe impairments due to chronic stroke. This study aimed to clarify the effect of the kinesthetic perceptional illusion induced by visual stimulation (KINVIS) on upper limb motor function and the relationship between motor function and resting-state brain networks. Eleven patients with severe paralysis of upper limb motor function in the chronic phase (seven men and four women; age: 54.7 ± 10.8 years; 44.0 ± 29.0 months post-stroke) participated in the study. Patients underwent an intervention consisting of therapy using KINVIS and conventional therapeutic exercise (TherEX) for 10 days. Our originally developed KiNvis TM system was applied to induce KINVIS while watching the movement of the artificial hand. Clinical outcomes were examined to evaluate motor functions and resting-state brain functional connectivity (rsFC) by analyzing blood-oxygen-level-dependent (BOLD) signals measured using functional magnetic resonance imaging (fMRI). The outcomes of motor function (Fugle-Meyer Assessment, FMA) and spasticity (Modified Ashworth Scale, MAS) significantly improved after the intervention. The improvement in MAS scores for the fingers and the wrist flexors reached a minimum of clinically important differences. Before the intervention, strong and significant negative correlations between the motor functions

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Section: Discussionsupporting

confidence: 88%

A Case Series Clinical Trial of a Novel Approach Using Augmented Reality That Inspires Self-body Cognition in Patients With Stroke: Effects on Motor Function and Resting-State Brain Functional Connectivity

Kaneko

Shindo

Yoneta

et al. 2019

Front. Syst. Neurosci.

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“…5 PLIC masks were drawn on 3 continuous slices on the participant's FA maps, as described previously. 5,15,48 When a lesion affected the PLIC, the contralesional side was used as a guide. Mean FA values were calculated from the voxels in the PLIC masks for the ipsilesional and contralesional hemispheres.…”

Section: Fractional Anisotropy In the Cst And The Plicmentioning

confidence: 99%

Comparing CST Lesion Metrics as Biomarkers for Recovery of Motor and Proprioceptive Impairments After Stroke

Findlater

Hawe

Mazerolle

et al. 2019

Neurorehabil Neural Repair

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Background. Corticospinal tract (CST) damage is considered a biomarker for stroke recovery. Several methods have been used to define CST damage and examine its relationship to motor performance, but which method is most useful remains unclear. Proprioceptive impairment also affects stroke recovery and may be related to CST damage. Methods. Robotic assessment quantified upper-limb motor and proprioceptive performance at 2 weeks and 6 months poststroke (n = 149). Three previously-established CST lesion metrics were calculated using clinical neuroimaging. Diffusion magnetic resonance imaging quantified CST microstructure in a subset of participants (n = 21). Statistical region of interest (sROI) analysis identified lesion locations associated with motor and proprioceptive deficits. Results. CST lesion metrics were moderately correlated with motor scores at 2 weeks and 6 months poststroke. CST fractional anisotropy (FA) was correlated with motor scores at 1 month poststroke, but not at 6 months. The FA ratio of the posterior limb of the internal capsule was not correlated with motor performance. CST lesion metrics were moderately correlated with proprioceptive scores at 2 weeks and 6 months poststroke. sROI analysis confirmed that CST damage was associated with motor and proprioceptive deficits and additionally found that putamen, internal capsule, and corticopontocerebellar tract lesions were associated with poor motor performance. Conclusions. Across all methods used to quantify CST damage, correlations with motor or proprioceptive performance were moderate at best. Future research is needed to identify complementary or alternative biomarkers to address the complexity and heterogeneity of stroke recovery.

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“…Combinations of Neurological Biomarkers Burke 28 DTI + fMRI Dawes 57 DTI + sMRI Granziera 9 DTI + sMRI Holtmannspötter 67 DTI + sMRI Jang 7 DTI + TMS Lai 80 DTI + sMRI Marumoto 88 DTI + sMRI Nouri 90 sMRI + TMS Nuutinen 91 DWI + PWI + CT Puig 37 DTI + sMRI Quinlan 35 DTI + sMRI + fMRI Rehme 95 fMRI + sMRI Rosso 97 DTI + sMRI Stinear 2 DTI + TMS Stinear 13 DTI + TMS + fMRI Tao 99 DTI + sMRI Timmerhuis 100 TMS + sMRI Wöhrle 103 DWI + PWI + TMS Abbreviations: CT, computed tomography; DTI, diffusion tensor imaging; DWI, diffusion weighted imaging; fMRI, function magnetic resonance imaging; PWI, perfusion weighted imaging; sMRI, conventional structural magnetic resonance imaging (including T1-weighted and T2-weighted images); TMS, transcranial magnetic stimulation.…”

Section: Referencementioning

confidence: 99%

Can Neurological Biomarkers of Brain Impairment Be Used to Predict Poststroke Motor Recovery? A Systematic Review

Kim

Winstein

2016

Neurorehabil Neural Repair

166

152

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Background There is growing interest to establish recovery biomarkers, especially neurological biomarkers, in order to develop new therapies and prediction models for the promotion of stroke rehabilitation and recovery. However, there is no consensus among the neurorehabilitation community about which biomarker(s) have the highest predictive value for motor recovery. Objective To review the evidence and determine which neurological biomarker(s) meet the high evidence quality criteria for use in predicting motor recovery. Methods We searched databases for prognostic neuroimaging/neurophysiological studies. Methodological quality of each study was assessed using a previously employed comprehensive 15-item rating system. Furthermore, we used the GRADE approach and ranked the overall evidence quality for each category of neurologic biomarker. Results Seventy-one articles met our inclusion criteria; 5 categories of neurologic biomarkers were identified: diffusion tensor imaging (DTI), transcranial magnetic stimulation (TMS), functional magnetic resonance imaging (fMRI), conventional structural MRI (sMRI), and a combination of these biomarkers. Most studies were conducted with individuals after ischemic stroke in the acute and/or subacute stage (~70%). Less than one-third of the studies (21/71) were assessed with satisfactory methodological quality (80% or more of total quality score). Conventional structural MRI and the combination biomarker categories ranked "high" in overall evidence quality. Conclusions There were 3 prevalent methodological limitations: (a) lack of cross-validation, (b) lack of minimal clinically important difference (MCID) for motor outcomes, and (c) small sample size. More high-quality studies are needed to establish which neurological biomarkers are the best predictors of motor recovery after stroke. Finally, the quarter-century old methodological quality tool used here should be updated by inclusion of more contemporary methods and statistical approaches.

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Diffusion tensor imaging predicts the outcome of constraint-induced movement therapy in chronic infarction patients with hemiplegia: A pilot study

Cited by 14 publications

References 35 publications

A Case Series Clinical Trial of a Novel Approach Using Augmented Reality That Inspires Self-body Cognition in Patients With Stroke: Effects on Motor Function and Resting-State Brain Functional Connectivity

A Case Series Clinical Trial of a Novel Approach Using Augmented Reality That Inspires Self-body Cognition in Patients With Stroke: Effects on Motor Function and Resting-State Brain Functional Connectivity

Comparing CST Lesion Metrics as Biomarkers for Recovery of Motor and Proprioceptive Impairments After Stroke

Can Neurological Biomarkers of Brain Impairment Be Used to Predict Poststroke Motor Recovery? A Systematic Review

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