scholarly journals Somatosensory Plasticity in Pediatric Cerebral Palsy following Constraint-Induced Movement Therapy

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Pawel J. Matusz ◽  
Alexandra P. Key ◽  
Shirley Gogliotti ◽  
Jennifer Pearson ◽  
Megan L. Auld ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Brain Activity ◽  
Event Related Potential ◽  
Motor Dysfunction ◽  
Somatosensory Processing ◽  
Light Touch ◽  
Electrical Neuroimaging ◽  
Sensory Motor ◽  
A Prospective Study ◽  
Sensory Activation

Cerebral palsy (CP) is predominantly a disorder of movement, with evidence of sensory-motor dysfunction. CIMT1 is a widely used treatment for hemiplegic CP. However, effects of CIMT on somatosensory processing remain unclear. To examine potential CIMT-induced changes in cortical tactile processing, we designed a prospective study, during which 10 children with hemiplegic CP (5 to 8 years old) underwent an intensive one-week-long nonremovable hard-constraint CIMT. Before and directly after the treatment, we recorded their cortical event-related potential (ERP) responses to calibrated light touch (versus a control stimulus) at the more and less affected hand. To provide insights into the core neurophysiological deficits in light touch processing in CP as well as into the plasticity of this function following CIMT, we analyzed the ERPs within an electrical neuroimaging framework. After CIMT, brain areas governing the more affected hand responded to touch in configurations similar to those activated by the hemisphere controlling the less affected hand before CIMT. This was in contrast to the affected hand where configurations resembled those of the more affected hand before CIMT. Furthermore, dysfunctional patterns of brain activity, identified using hierarchical ERP cluster analyses, appeared reduced after CIMT in proportion with changes in sensory-motor measures (grip or pinch movements). These novel results suggest recovery of functional sensory activation as one possible mechanism underlying the effectiveness of intensive constraint-based therapy on motor functions in the more affected upper extremity in CP. However, maladaptive effects on the less affected constrained extremity may also have occurred. Our findings also highlight the use of electrical neuroimaging as feasible methodology to measure changes in tactile function after treatment even in young children, as it does not require active participation.

Altered Functions of Visual Brain Areas: Review of Recent Evidence from Blind Human Subjects

Perception ◽  
1997 ◽  
Vol 26 (1_suppl) ◽  
pp. 219-219
Author(s):  
T Kujala ◽  
K Alho
Keyword(s):  
Visual Cortex ◽  
Auditory Processing ◽  
Visual Information ◽  
Late Onset ◽  
Human Subjects ◽  
Brain Activity ◽  
Event Related Potential ◽  
Auditory Modality ◽  
Somatosensory Processing ◽  
Brain Areas

We investigated the functional role of human visual brain areas deprived of visual information. To this end, we recorded brain activity elicited by auditory and somatosensory stimuli in blind human subjects. Activity was recorded in the ‘Attend’ condition, in which subjects detected occasional deviant stimuli presented among repetitive standard stimuli and in the ‘Ignore’ condition, in which subjects did not attend to the stimuli. The results indicate that in the early-blinded subjects, event-related potential (ERP) topography elicited by deviant auditory and somatosensory target stimuli is posterior to that in the sighted (Kujala et al, 1995 Experimental Brain Research104 519 – 526). This suggests involvement of posterior brain areas in auditory and somatosensory processing in the blind humans. For the auditory modality, activated areas were located with magnetoencephalography (MEG), which indicates involvement of extrastriate occipital areas in detection of auditory targets (Kujala et al, 1995 Experimental Brain Research103 143 – 146). Visual-cortex plasticity was further studied in subjects who had lost their vision after childhood in order to clarify whether these cross-modal changes are specific to visual deprivation of early onset. In that study, auditory ERP topographies of late-blinded, early-blinded, and sighted subjects were compared. Comparison of posterior topography of ERPs elicited by deviant target stimuli in both early-blinded and late-blinded subjects with that in the sighted subjects suggests visual-cortex involvement in auditory processing even in late-onset blindness (Kujala et al, 1977 Psychophysiology34 213 – 216). Preliminary MEG recordings in one late-blinded subject provided further support for posterior generators (parietal-occipital) in auditory processing.

Cognitive function in tetraplegic cerebral palsy with severe motor dysfunction

2005 ◽  
Vol 47 (8) ◽  
pp. 562-562 ◽  
Author(s):  
David Strauss ◽  
Lewis Rosenbloom ◽  
Steven Day ◽  
Robert Shavelle
Keyword(s):  
Cerebral Palsy ◽  
Cognitive Function ◽  
Motor Dysfunction ◽  
Severe Motor

PINPOINT SOURCE LOCALIZATION FOR OCULAR NONSELECTIVE ATTENTION WITH COMBINATION OF ERP AND fNIRI MEASUREMENTS

2008 ◽  
Vol 01 (02) ◽  
pp. 195-206 ◽  
Author(s):  
TING LI ◽  
LI LI ◽  
PENG DU ◽  
QINGMING LUO ◽  
HUI GONG
Keyword(s):  
Near Infrared ◽  
Infrared Imaging ◽  
Brain Activity ◽  
Event Related Potential ◽  
Reliable Technique ◽  
Brain Mechanism ◽  
Electrophysiological Signals ◽  
Series Of Experiments ◽  
A New Technique ◽  
Hemodynamic Information

Compared with event-related potential (ERP) which is widely used in psychology research, functional near-infrared imaging (fNIRI) is a new technique providing hemodynamic information related to brain activity, except for electrophysiological signals. Here, we use both these techniques to study ocular attention. We conducted a series of experiments with a classic paradigm of ocular nonselective attention, and monitored responses with fNIRI and ERP respectively. The results showed that fNIRI measured brain activations in the left prefrontal lobe, while ERPs showed activation in frontal lobe. More importantly, only with the combination measurements of fNIRI and ERP, we were then able to find the pinpoint source of ocular nonselective attention, which is in the left and upper corner in Brodmann area 10. These results demonstrated that fNIRI is a reliable technique in psychology, and the combination of fNIRI and ERP can be promising to reveal more information in the research of brain mechanism.

scholarly journals Gross motor dysfunction as a risk factor for aspiration pneumonia in children with cerebral palsy

2018 ◽  
Vol 57 (5) ◽  
pp. 229 ◽  
Author(s):  
Cut Nurul Hafifah ◽  
Darmawan Budi Setyanto ◽  
Sukman Tulus Putra ◽  
Irawan Mangunatmadja ◽  
Teny Tjitra Sari ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cerebral Palsy ◽  
Aspiration Pneumonia ◽  
Motor Dysfunction ◽  
Silent Aspiration ◽  
Gross Motor ◽  
Respiratory Problems ◽  
Children With Cerebral Palsy ◽  
Chest X Ray

Background Respiratory problems, such as aspiration pneumonia, are major causes of morbidity and mortality in children with cerebral palsy (CP) and greatly affect the quality of life of these children. Nevertheless, there is limited data on the incidence and risk factors of aspiration pneumonia in children with CP in Indonesia. Objective To determine the incidence and risk factors of aspiration pneumonia in children with cerebral palsy.Methods In children with CP aged 1-18 years, incidence of pneumonia was studied prospectively for 6 months and the prevalence of the risk factors was studied cross-sectionally. At baseline, we evaluated subjects’ by history-taking, physical examination, risk factors, and chest X-ray to assess the incidence of silent aspiration. Subjects were followed-up for six months to determine the incidence of overt or silent aspiration pneumonia.Results Eight out of 36 subjects had one or more episodes of aspiration, consisting of silent aspiration (2/36) and clinically diagnosed aspiration pneumonia (7/36). Subjects with more severe gross motor dysfunction experienced more episodes aspiration pneumonia, although it was not statistically significant (p = 0.06), while dysphagia (P=0.2) and nutritional status (P=0.11) were not associated with pneumonia or silent aspiration.Conclusion Twenty-five percent of children with CP experienced aspiration pneumonia during the 6-month study period, with gross motor dysfunction as a possible risk factor.

scholarly journals ERP CORE: An Open Resource for Human Event-Related Potential Research

2020 ◽  
Author(s):  
Emily S. Kappenman ◽  
Jaclyn Farrens ◽  
Wendy Zhang ◽  
Andrew X Stewart ◽  
Steven J Luck
Keyword(s):  
Data Processing ◽  
Brain Activity ◽  
A Priori ◽  
Event Related Potentials ◽  
Event Related Potential ◽  
Error Related Negativity ◽  
Wide Range ◽  
Experiment Control ◽  
Related Potentials

Event-related potentials (ERPs) are noninvasive measures of human brain activity that index a range of sensory, cognitive, affective, and motor processes. Despite their broad application across basic and clinical research, there is little standardization of ERP paradigms and analysis protocols across studies. To address this, we created ERP CORE (Compendium of Open Resources and Experiments), a set of optimized paradigms, experiment control scripts, data processing pipelines, and sample data (N = 40 neurotypical young adults) for seven widely used ERP components: N170, mismatch negativity (MMN), N2pc, N400, P3, lateralized readiness potential (LRP), and error-related negativity (ERN). This resource makes it possible for researchers to 1) employ standardized ERP paradigms in their research, 2) apply carefully designed analysis pipelines and use a priori selected parameters for data processing, 3) rigorously assess the quality of their data, and 4) test new analytic techniques with standardized data from a wide range of paradigms.

scholarly journals Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

2019 ◽  
Author(s):  
Jennifer Stiso ◽  
Marie-Constance Corsi ◽  
Javier Omar Garcia ◽  
Jean M Vettel ◽  
Fabrizio De Vico Fallani ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Brain Activity ◽  
Brain Computer Interface ◽  
Distributed Networks ◽  
Motor Dysfunction ◽  
Computer Interface ◽  
Specific Method ◽  
Temporal Expression ◽  
And Behavior ◽  
Brain Behavior

Motor imagery-based brain-computer interfaces (BCIs) use an individual’s ability to volitionally modulate localized brain activity, often as a therapy for motor dysfunction or to probe causal relations between brain activity and behavior. However, many individuals cannot learn to successfully modulate their brain activity, greatly limiting the efficacy of BCI for therapy and for basic scientific inquiry. Formal experiments designed to probe the nature of BCI learning have offered initial evidence that coherent activity across diverse cognitive systems is a hallmark of individuals who can successfully learn to control the BCI. However, little is known about how these distributed networks interact through time to support learning. Here, we address this gap in knowledge by constructing and applying a multimodal network approach to decipher brain-behavior relations in motor imagery-based brain-computer interface learning using magnetoencephalography. Specifically, we employ a minimally constrained matrix decomposition method -- non-negative matrix factorization -- to simultaneously identify regularized, covarying subgraphs of functional connectivity and behavior, and to detect the time-varying expression of each subgraph. We find that learning is marked by distributed brain-behavior relations: swifter learners displayed many subgraphs whose temporal expression tracked performance. Learners also displayed marked variation in the spatial properties of subgraphs such as the connectivity between the frontal lobe and the rest of the brain, and in the temporal properties of subgraphs such as the stage of learning at which they reached maximum expression. From these observations, we posit a conceptual model in which certain subgraphs support learning by modulating brain activity in networks important for sustaining attention. After formalizing the model in the framework of network control theory, we test the model and find that good learners display a single subgraph whose temporal expression tracked performance and whose architecture supports easy modulation of brain regions important for attention. The nature of our contribution to the neuroscience of BCI learning is therefore both computational and theoretical; we first use a minimally-constrained, individual specific method of identifying mesoscale structure in dynamic brain activity to show how global connectivity and interactions between distributed networks supports BCI learning, and then we use a formal network model of control to lend theoretical support to the hypothesis that these identified subgraphs are well suited to modulate attention.

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