KEYWORDS: Sensors, Control systems, Hemodynamics, Sensorimotor cortex, Brain, Near infrared spectroscopy, Functional magnetic resonance imaging, Signal to noise ratio, Cortical activation, Bandpass filters
Sensorimotor cortex plasticity induced by constraint-induced movement therapy (CIMT) in six children (10.2±2.1 years old) with hemiplegic cerebral palsy was assessed by functional near-infrared spectroscopy (fNIRS). The activation laterality index and time-to-peak/duration during a finger-tapping task and the resting-state functional connectivity were quantified before, immediately after, and 6 months after CIMT. These fNIRS-based metrics were used to help explain changes in clinical scores of manual performance obtained concurrently with imaging time points. Five age-matched healthy children (9.8±1.3 years old) were also imaged to provide comparative activation metrics for normal controls. Interestingly, the activation time-to-peak/duration for all sensorimotor centers displayed significant normalization immediately after CIMT that persisted 6 months later. In contrast to this improved localized activation response, the laterality index and resting-state connectivity metrics that depended on communication between sensorimotor centers improved immediately after CIMT, but relapsed 6 months later. In addition, for the subjects measured in this work, there was either a trade-off between improving unimanual versus bimanual performance when sensorimotor activation patterns normalized after CIMT, or an improvement occurred in both unimanual and bimanual performance but at the cost of very abnormal plastic changes in sensorimotor activity.
KEYWORDS: Control systems, Sensors, Sensorimotor cortex, Neuroimaging, Functional magnetic resonance imaging, Signal to noise ratio, Brain, Near infrared spectroscopy, Hemodynamics, Magnetic resonance imaging
Sensorimotor cortex plasticity induced by constraint-induced movement therapy (CIMT) in six children (10.2 ± 2.1 years old) with hemiplegic cerebral palsy (CP) was assessed by functional near-infrared spectroscopy (fNIRS). The activation laterality index and time-to-peak/duration during a finger tapping task were quantified before, immediately after, and six months after CIMT. Five age-matched healthy children (9.8 ± 1.3 years old) were also imaged at the same time points to provide comparative activation metrics for normal controls. In children with CP the activation time-to-peak/duration for all sensorimotor centers displayed significant normalization immediately after CIMT that persisted six months later. In contrast to this longer term improvement in localized activation response, the laterality index that depended on communication between sensorimotor centers improved immediately after CIMT, but relapsed six months later.
Transcranial direct current stimulation (tDCS) is a non-invasive cortical stimulation technique that can facilitate task specific plasticity that can improve motor performance. Current tDCS interventions uniformly apply a chosen electrode montage to a subject population without personalizing electrode placement for optimal motor gains. We propose a novel perturbation tDCS (ptDCS) paradigm for determining a personalized electrode montage in which tDCS intervention yields maximal motor performance improvements during stimulation. PtDCS was applied to ten healthy adults and five stroke patients with upper hemiparesis as they performed an isometric wrist flexion task with their non-dominant arm. Simultaneous recordings of torque applied to a stationary handle, muscle activity by electromyography (EMG), and cortical activity by functional near-infrared spectroscopy (fNIRS) during ptDCS helped interpret how cortical activity perturbations by any given electrode montage related to changes in muscle activity and task performance quantified by a Reaction Time (RT) X Error product. PtDCS enabled quantifying the effect on task performance of 20 different electrode pair montages placed over the sensorimotor cortex. Interestingly, the electrode montage maximizing performance in all healthy adults did not match any of the ones being explored in current literature as a means of improving the motor performance of stroke patients. Furthermore, the optimal montage was found to be different in each stroke patient and the resulting motor gains were very significant during stimulation. This study supports the notion that task-specific ptDCS optimization can lend itself to personalizing the rehabilitation of patients with brain injury.
Recent studies have demonstrated functional near-infrared spectroscopy (fNIRS) to be a viable and sensitive method for imaging sensorimotor cortex activity in children with cerebral palsy (CP). However, during unilateral finger tapping, children with CP often exhibit unintended motions in the nontapping hand, known as mirror motions, which confuse the interpretation of resulting fNIRS images. This work presents a method for separating some of the mirror motion contributions to fNIRS images and demonstrates its application to fNIRS data from four children with CP performing a finger-tapping task with mirror motions. Finger motion and arm muscle activity were measured simultaneously with fNIRS signals using motion tracking and electromyography (EMG), respectively. Subsequently, subject-specific regressors were created from the motion capture or EMG data and independent component analysis was combined with a general linear model to create an fNIRS image representing activation due to the tapping hand and one image representing activation due to the mirror hand. The proposed method can provide information on how mirror motions contribute to fNIRS images, and in some cases, it helps remove mirror motion contamination from the tapping hand activation images.
Transcranial direct current stimulation (tDCS) of the human sensorimotor cortex during physical rehabilitation induces plasticity in the injured brain that improves motor performance. Bi-hemispheric tDCS is a noninvasive technique that modulates cortical activation by delivering weak current through a pair of anodal–cathodal (excitation–suppression) electrodes, placed on the scalp and centered over the primary motor cortex of each hemisphere. To quantify tDCS-induced plasticity during motor performance, sensorimotor cortical activity was mapped during an event-related, wrist flexion task by functional near-infrared spectroscopy (fNIRS) before, during, and after applying both possible bi-hemispheric tDCS montages in eight healthy adults. Additionally, torque applied to a lever device during isometric wrist flexion and surface electromyography measurements of major muscle group activity in both arms were acquired concurrently with fNIRS. This multiparameter approach found that hemispheric suppression contralateral to wrist flexion changed resting-state connectivity from intra-hemispheric to inter-hemispheric and increased flexion speed (p<0.05 ). Conversely, exciting this hemisphere increased opposing muscle output resulting in a decrease in speed but an increase in accuracy (p<0.05 for both). The findings of this work suggest that tDCS with fNIRS and concurrent multimotor measurements can provide insights into how neuroplasticity changes muscle output, which could find future use in guiding motor rehabilitation.
Electrical stimulation of the human cortex in conjunction with physical rehabilitation has been a valuable approach in
facilitating the plasticity of the injured brain. One such method is transcranial direct current stimulation (tDCS) which is
a non-invasive method to elicit neural stimulation by delivering current through electrodes placed on the scalp. In order to better understand the effects tDCS has on cortical plasticity, neuroimaging techniques have been used pre and post tDCS stimulation. Recently, neuroimaging methods have discovered changes in resting state cortical hemodynamics after the application of tDCS on human subjects. However, analysis of the cortical hemodynamic activity for a physical task during and post tDCS stimulation has not been studied to our knowledge. A viable and sensitive neuroimaging method to map changes in cortical hemodynamics during activation is functional near-infrared spectroscopy (fNIRS). In this study, the cortical activity during an event-related, left wrist curl task was mapped with fNIRS before, during, and after tDCS stimulation on eight healthy adults. Along with the fNIRS optodes, two electrodes were placed over the sensorimotor hand areas of both brain hemispheres to apply tDCS. Changes were found in both resting state cortical connectivity and cortical activation patterns that occurred during and after tDCS. Additionally, changes to surface electromyography (sEMG) measurements of the wrist flexor and extensor of both arms during the wrist curl movement, acquired concurrently with fNIRS, were analyzed and related to the transient cortical plastic changes induced by tDCS.
Functional neurological imaging has been shown to be valuable in evaluating brain plasticity in children with cerebral palsy (CP). In recent studies it has been demonstrated that functional near-infrared spectroscopy (fNIRS) is a viable and sensitive method for imaging motor cortex activities in children with CP. However, during unilateral finger tapping tasks children with CP often exhibit mirror motions (unintended motions in the non-tapping hand), and current fNIRS image formation techniques do not account for this. Therefore, the resulting fNIRS images contain activation from intended and unintended motions. In this study, cortical activity was mapped with fNIRS on four children with CP and five controls during a finger tapping task. Finger motion and arm muscle activation were concurrently measured using motion tracking cameras and electromyography (EMG). Subject-specific regressors were created from motion capture and EMG data and used in a general linear model (GLM) analysis in an attempt to create fNIRS images representative of different motions. The analysis provided an fNIRS image representing activation due to motion and muscle activity for each hand. This method could prove to be valuable in monitoring brain plasticity in children with CP by providing more consistent images between measurements. Additionally, muscle effort versus cortical effort was compared between control and CP subjects. More cortical effort was required to produce similar muscle effort in children with CP. It is possible this metric could be a valuable diagnostic tool in determining response to treatment.
KEYWORDS: Signal detection, Signal attenuation, Signal to noise ratio, Monte Carlo methods, Sensors, Tissue optics, Near infrared, Hemodynamics, Human subjects, Photon transport
A major obstacle in functional near infrared spectroscopy (fNIRS) and imaging is poor optical contact of the optodes
with the scalp due to obstruction by hair. To overcome this problem a novel brush-fiber extension was made as an
attachment to existing commercial flat-face fiber bundle optodes. The goal was that the brush-fiber extension would
thread through hair and improve optical contact on subjects with dense hair. Simulations and experiments were
performed to assess the magnitude of these improvements. Firstly, a Monte Carlo (MC) simulation of photon
propagation through the scalp with hair and hair follicles was performed showing a drop in light transmission for
different hair densities in the range of 3 to 9 dB. Similar levels of signal loss at individual optodes were determined
experimentally in preliminary measurements on a human subject, when comparisons were made for finger tapping
activation measurements with and without the brush-fiber extensions. The effects of such losses on reconstructed
images were also simulated by using neutral density filters during tissue phantom measurements. As brush-fibers
attenuated the signal by approximately 2.5 dB due to imperfect optical contact with the flat-face optode tips we
explored the idea of using larger diameter brush-fibers to overcome that loss.
KEYWORDS: Control systems, Electronic filtering, Digital filtering, Image processing, Hemodynamics, Sensors, Near infrared spectroscopy, Brain, Electromyography, Functional magnetic resonance imaging
We demonstrate the utility of functional near-infrared spectroscopy (fNIRS) as a tool for physicians to study cortical plasticity in children with cerebral palsy (CP). Motor cortex activation patterns were studied in five healthy children and five children with CP (8.4±2.3 years old in both groups) performing a finger-tapping protocol. Spatial (distance from center and area difference) and temporal (duration and time-to-peak) image metrics are proposed as potential biomarkers for differentiating abnormal cortical activation in children with CP from healthy pediatric controls. In addition, a similarity image-analysis concept is presented that unveils areas that have similar activation patterns as that of the maximum activation area, but are not discernible by visual inspection of standard activation images. Metrics derived from the images presenting areas of similarity are shown to be sensitive identifiers of abnormal activation patterns in children with CP. Importantly, the proposed similarity concept and related metrics may be applicable to other studies for the identification of cortical activation patterns by fNIRS.
KEYWORDS: Electronic filtering, Filtering (signal processing), Signal detection, Hemodynamics, Digital filtering, Brain, Signal processing, Image filtering, Sensors, Data acquisition
Cerebral palsy (CP) is the most common motor disorder of central origin in childhood and affects at least 2 children per
1000 live births every year. Neuroimaging techniques are needed to study neuroplastic rearrangements in the human
brain in vivo as a result of CP. Unfortunately, accurate imaging from currently available techniques often requires the
patients' complete body confinement, steadiness and minimal noise for a long period of time, which limits the success
rate to less than 50% for normal children and worse for CP-affected ones. In this work we show that functional near
infrared (fNIR) imaging is robust to motion artifacts and has excellent potential as a sensitive diagnostic tool for this
motor disorder. We have analyzed data from pediatric normal and CP patients performing finger-tapping and handwaving
motor cortex activation tasks. From these analyses we have identified both spatial and temporal metrics of NIR-based
motor cortex activation patterns that can clearly distinguish between normal and CP patients. We also present data
from additional patients where signal processing methods are applied to filter out concurrently recorded hemodynamic
signals due to breathing and cardiac pulsation. It is shown that filtering can substantially improve the quality of
activation data, thus enabling more accurate comparison of activation patterns between normal and CP-affected children.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.