Design
A Randomized, controlled trial.
Subjects
A total of 30 persons with stroke were recruited from the neurorehabilitation ward in the China Rehabilitation Research Center (CRRC) from August 2019 to February 2020. The participants were divided into two groups: one unilateral task-oriented training combined with a dynamic hand orthosis group (Orthosis Group) and a usual exercise group (UL group), with 15 persons with strokes in each group. Inclusion criteria:①First Stroke ②Age > 18 years③14-90 days since stroke(±3 days)④Partly finger movement (defined as ³ 10 degree of active finger flexion) Exclusion criteria:①Full finger extension ②Language and/or cognitive impairments that preclude the person from following instructions (defined as Mini-Mental State Examination, MMSE≤ 20 score③Other health conditions that preclude the person from undergoing rehabilitation, such as severe depression, anxiety, mental symptoms, internal disease(Fig. 1).
Randomization and blinding
A computer-generated randomization number table was generated in Excel and maintained off-site. Group allocations were distributed in opaque envelopes. To ensure data reliability, the clinical scale and fNIRS measurements were blinded to the testers.
Interventions: unilateral task-oriented training (UL practice) with And without an orthosis
All the persons with stroke performed task-oriented therapy for the affected upper extremity, for 5 times/week, for 4 consecutive weeks. Individual therapist-supervised upper limb practice could be divided into smaller sessions throughout the training but was set to be 60 minutes in total for arm and hand. The 60 minute session was divided into 10 minutes gross motor training, 10 minutes fine motor training, 10 minutes intensive training, and 30 minutes of activities of daily living training. The Orthosis group wore a hand orthosis device on the affected hand during the supervised UL practice for 30 minutes. The Usual Care group performed supervised UL practice without orthosis for 60 minutes. All the persons with stroke were under the supervision of a licensed OT therapist in both groups. The position of training was individually adapted and performed either in sitting or standing.
The dynamic hand orthosis (Saeboglove®, Saebo Inc, Charlotte, NC) used in the study is a hand device equipped with a proprietary tension system that extends the persons’ fingers and thumb when grasping. The orthosis was used during repetitive task training, including constant grip-release actions. Releasing is facilitated through finger extension just after the grasping movement has ended (13).The support provided to hand opening can be adjusted by the therapist or the persons themselves, depending on the amount of assistance required to accomplish tasks.
Clinical outcome measures
Clinical outcome measures included the Grip Strength Evaluation (Jamar Digital Hand Dynamometer, kg), the Action Research Arm Test (ARAT) (13) and the Fugl-Meyer Assessment of the arm (FMA-arm) (24), were evaluated at the time of recruitment and 4 weeks of unilateral task-oriented training with and without an orthosis.
fNIRS experimental procedure
fNIRS measurements were performed at the same day of recruitment and the day after 4 weeks of intervention with the subjects in an upright, sitting position, with the eyes closed. Both upper limbs were placed on the knees, with proximal and trunk relaxed. The subject was instructed to grip-release a 9.06-kilogram grip ring with the hemiplegic hand. The experiment used a block design with 5 repeated cycles of 30 s rest and 15 s movement. The experiment started with a 10 s pre-scan and a 30 s rest time, which were not used for statistical analysis. The participant was instructed to repeatedly grip-release with the hemiplegic hand 5 times at a steady speed, guided by an auditory metronome during the 15 second period. The task required the participant to relax the non-grasping hand and to avoid any movements other than those required for the motor tasks during the performance of the one-handed grip-release task. Activation and relaxation were monitored and recorded by the tester.
Data acquisition
The optical signal was measured using a 48-channel near-infrared spectroscopy (NIRS) machine (Hitachi, ETG-4100). Near-infrared lights with wavelengths of 695 nm and 830 nm were guided by optical fiber bundles and transmitted into the brain through the cranium to measure changes in the oxyhemoglobin (O2Hb) and deoxyhemoglobin (de-O2Hb) concentration at a sampling frequency of 10 Hz during the motor task. Two plastic probe holders (4 × 4 matrix) with 24 channels positioned on either side of the head were placed on the scalp over the persons’ bilateral motor-related areas. The source-detector probe geometry of the fNIRS system is shown in Fig.1B. A total of 8 sources and 8 detector fiber bundles were positioned on each plastic probe holder. The probes were placed 3 cm away from each other, to monitor the cortical activation over two 9 cm × 9 cm rectangular fields of view. The electroencephalography (EEG) International 10-20 system Cz, C3, C4 anatomical measurements were used as reference points to ensure that the optical probe setup was placed over 6 ROIs (25) , including the bilateral SMC, PMC and PFC. A three-dimensional (3D)-digitizer was used to record the exact locations of each fNIRS probe for a standard brain before converting these coordinates into the locations of the forty-eight channels in an estimated Montreal Neurological Institute (MNI) space using the MATLAB toolbox NIRS-SPM (26). The positioning of the 48 channels on a reconstructed 3D brain is shown in Fig.2A (20). Based on the mean MNI coordinates and Brodmann’s area (BA) correspondences, the 6 ROIs were covered by the following channels for the left and the right hemispheres: the left SMC was covered by channels 4, 5, 6, 8, and 9 (both sides of C3); the right SMC was covered by channels 25, 29, 32, 36, and 39 (both sides of C4); the left PMC was covered by channels 11, 12, 13, 15, and 16; the right PMC was covered by channels 26, 30, 33, 37, and 40; the left PFC was covered by channels 18, 19, 20, 22, and 23; and the right PFC was covered by channels 27, 31, 34, 38, and 41(Fig.2B).
fNIRS data processing and image analysis
All artifact data were autodetected and corrected by the open-source HOMER software, implemented in MATLAB(27).Any data with obvious motion artifacts or damaged channels in any block/rest period were manually excluded from further analysis. Then, a 0.01–0.1 Hz bandpass filter was applied to remove global fluctuation due to heartbeat (0.8–2.0 Hz), respiration (0.1–0.33 Hz), and Mayer waves (0.1 Hz or lower) (28) (29).
fNIRS outcome measures
Oxygenated hemoglobin changes based on SMC and PMC
After preliminary data processing as above, fNIRS was used to classify motor-related brain activity on the sensor-level, and the original light intensity data was converted into a change in the blood oxygen concentration. The average change in O2Hb concentration during the movement period and the rest period during each of the five blocks were statistically analyzed. Because fNIRS relies on hemodynamic responses, which take some time to occur, O2Hb and de-O2Hb signals are typically considered to mark changes in neural activity with a lag of roughly four seconds(10-14s)(30). Thus the data of 10 second to 15 second since each block begun were statistically analyzed finally. We used a task-related increase in O2Hb concentration value as the marker for cortical activity(31).
Calculating the lateralization index (LI)
Hemispheric dominance during a motor task is usually expressed for an ROI by calculating the lateralization index. The LI was determined from the sum of oxy-hemoglobin concentrations in channels in each ROI as LI = (contralateral O2Hb concentration − ipsilateral O2Hb concentration)/ (contralateral O2Hb concentration + ipsilateral O2Hb concentration) (20) (32).LI values range from −1 to 1, with a score of 1 indicating a purely contralateral ROI (contralateral hemisphere of the tested hand,affected hemisphere) and −1 indicating a purely ipsilateral ROI (ipsilateral hemisphere of the tested hand,unaffected hemisphere) activation. The change of LI values for PMC and SMC= (LI values post-intervention) - (LI values pre- intervention).
Statistical analysis
All statistical analyses were performed using SPSS 19.0. The clinical characteristics (age, gender, time since stroke onset, stroke type, amount of therapy, side of hemiplegia) were compared between the two groups. Measurement data conforming to normal distributions are presented as the mean ±standard deviation (mean ±SD), and within-group comparisons were performed using paired t-tests. Measurement data with non-normal distribution were compared with the rank-sum test. Measurements between the two groups for continuous variables were compared with a two-sample t-test or Mann-Whitney U test. Between group continuous data were analyzed with Chi-square test. Pearson’s correlation coefficient was used to analyze the correlation between the change of LI and clinical scales.LI data are presented as the mean±SD. The change of LI values for PMC and SMC between group was analyzed with two independent samples t-test. Analysis of changes in O2Hb levels in SMC and PFC: Paired t-test was used to compare before and after the intervention, and an independent-samples t-test was used for comparisons between the two groups. Significance was set at p < 0.05. The confidence interval was 95%.
Sample size and statistical power
Based on the prior feasibility study from Yih, ipsilesional ARAT scores increased by 7.3±3.3 from the first clinical scale assessment (0 week) to the second clinical scale assessment (12 week), If a paired sample design is assumed, to achieve 80% power of test, at alpha=0.05,1-β=0.8, SD=1.96×7.3=14.308, a total of 33 sample size in each group will achieve. Considering that the sample size is consistent with recommendations in the design of pilot studies, a sample of 15 cases was recruited in each group.