Electroencephalography power and coherence changes with age and motor skill development across the first half year of life

Xiao, Ran; Shida-Tokeshi, Joanne; Vanderbilt, Douglas; Smith, Beth A.

doi:10.1371/journal.pone.0190276

Cited by 44 publications

(48 citation statements)

References 34 publications

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“…The no-reach trials were 20 s of social interaction without an object in reach. For detailed EEG methods and results, please see our 2018 publication 11 .…”

Section: Methodsmentioning

confidence: 99%

Relationships between full-day arm movement characteristics and developmental status in infants with typical development as they learn to reach: An observational study

et al. 2018

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Background: Advances in wearable sensor technology now allow us to quantify the number, type and kinematic characteristics of bouts of infant arm movement made across a full day in the natural environment. Our aim here was to determine whether the amount and kinematic characteristics of arm movements made across the day in the natural environment were related to developmental status in infants with typical development as they learned to reach for objects using their arms. Methods: We used wearable sensors to measure arm movement across days and months as infants developed arm reaching skills. In total, 22 infants with typical development participated, aged between 38 and 203 days. Of the participants, 2 infants were measured once and the other 20 infants were measured once per month for 3 to 6 visits. The Bayley Scales of Infant Development was used to measure developmental level. Results: Our main findings were: 1) infant arm movement characteristics as measured by full-day wearable sensor data were related to Bayley motor, cognitive and language scores, indicating a relationship between daily movement characteristics and developmental status; 2) infants who moved more had larger increases in language and cognitive scores across visits; and 3) larger changes in movement characteristics across visits were related to higher motor scores. Conclusions: This was a preliminary, exploratory, small study of the potential importance of infant arm movement characteristics as measured by full-day wearable sensor data. Our results support full-day arm movement activity as an area of interest for future study as a biomarker of neurodevelopmental status and as a target for early intervention.

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“…The no-reach trials were 20 s of social interaction without an object in reach. For detailed EEG methods and results, please see our 2018 publication 11 .…”

Section: Methodsmentioning

confidence: 99%

Relationships between full-day arm movement characteristics and developmental status in infants with typical development as they learn to reach: An observational study

et al. 2018

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“…Reference electrodes were placed on the regions located behind each ear (mastoids). C3 and C4 are the primary sensorimotor areas, and Cz is a supplementary motor area [22,23]. These three areas are directly engaged in the process of planning and outputting exercise orders during motor activities [24,25].…”

Section: Experimental Protocolmentioning

confidence: 99%

Quantitative Analysis of EEG Power Spectrum and EMG Median Power Frequency Changes after Continuous Passive Motion Mirror Therapy System

Park

Lee

Jeong

et al. 2020

Sensors

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Robotic mirror therapy (MT), which allows movement of the affected limb, is proposed as a more effective method than conventional MT (CMT). To improve the rehabilitation effectiveness of post-stroke patients, we developed a sensory stimulation-based continuous passive motion (CPM)-MT system with two different operating protocols, that is, asynchronous and synchronous modes. To evaluate their effectiveness, we measured brain activation through relative and absolute power spectral density (PSD) changes of electroencephalogram (EEG) mu rhythm in three cases with CMT and CPM-MT with asynchronous and synchronous modes. We also monitored changes in muscle fatigue, which is one of the negative effects of the CPM device, based on median power frequency (MPF) and root mean square (RMS). Relative PSD was most suppressed when subjects used the CPM-MT system under synchronous control: 22.11%, 15.31%, and 16.48% on Cz, C3, and C4, respectively. The absolute average changes in MPF and RMS were 1.59% and 9.78%, respectively, with CPM-MT. Synchronous mode CPM-MT is the most effective method for brain activation, and muscle fatigue caused by the CPM-MT system was negligible. This study suggests the more effective combination rehabilitation system for MT by utilizing CPM and magnetic-based MT task to add action execution and sensory stimulation compared with CMT. method uses voluntary exercise to improve a patient's motivation to rehabilitate [4] and prevents the deterioration of the motor ability of the lesioned brain hemisphere using a visual illusion that bilateral movement has been accomplished [5,6]. However, a major drawback of conventional MT (CMT) is that the paralyzed arm does not move at all during the treatment. Thus, muscle atrophy can be aggravated and the elbow can become stiff. Spasticity and hypertonus are likely to limit the functional use of the paralyzed limb. Additionally, muscle hyperexcitability may lead to secondary complications including contracture, pain, and reduced range of motion. In the long term, these complications may also result in structural changes in connective tissues and muscle fibers [7,8]. In such situations, patients lose their motivation to rehabilitate. In addition, the prevalence of strokes increases in an aging society, and the public healthcare burden of patients who have suffered a stroke increases. The current emphasis on cost reduction in medical services has resulted in reducing the duration of in-patient rehabilitation of post-stroke patients. This results in patients terminating treatment with incomplete recovery. These situations have triggered research on better and cost-efficient methods of treatment for post-stroke patients.To overcome the current limitations of CMT methods, a robotic system that actually moves the affected limb has recently been proposed as an emerging rehabilitative method [9,10]. However, building a new system for only one rehabilitation method, like MT, is difficult to introduce in many hospitals owing to budget and utilization issues. In addition, intro...

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“…Data analyses EEG analyses. EEG analysis methods are described in detail in a previous publication 12 . Resting-state EEG variables explored here are individual power, relative power, and variance of relative power.…”

Section: Electroencephalography Assessmentmentioning

confidence: 99%

Relationships between variance in electroencephalography relative power and developmental status in infants with typical development and at risk for developmental disability: An observational study

Hooyman¹,

Kayekjian²,

Xiao³

et al. 2018

Gates Open Res

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Background: Electroencephalography (EEG) is a non-invasive tool that has the potential to identify and quantify atypical brain development. We introduce a new measure here, variance of relative power of resting-state EEG. We sought to assess whether variance of relative power of resting-state EEG could predict i) classification of infants as typical development (TD) or at risk (AR) for developmental disability, and ii) Bayley developmental scores at the same visit or future visits. Methods: A total of 22 infants with TD participated, aged between 38 and 203 days. In addition, 11 infants broadly at risk participated (6 high-risk pre-term, 4 low-risk pre-term, 1 high-risk full-term), aged between 40 and 225 days of age (adjusted for prematurity). We used EEG to measure resting-state brain function across months. We calculated variance of relative power as the standard deviation of the relative power across each of the 32 EEG electrodes. The Bayley Scales of Infant Development (3rd edition) was used to measure developmental level. Infants were measured 1-6 times each, with 1 month between measurements. Results: Our main findings were: i) variance of relative power of resting state EEG can predict classification of infants as TD or AR, and ii) variance of relative power of resting state EEG can predict Bayley developmental scores at the same visit (Bayley raw fine motor, Bayley raw cognitive, Bayley total raw score, Bayley motor composite score) and at a future visit (Bayley raw fine motor). Conclusions: This was a preliminary, exploratory, small study. Our results support variance of relative power of resting state EEG as an area of interest for future study as a biomarker of neurodevelopmental status and as a potential outcome measure for early intervention.

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Electroencephalography power and coherence changes with age and motor skill development across the first half year of life

Cited by 44 publications

References 34 publications

Relationships between full-day arm movement characteristics and developmental status in infants with typical development as they learn to reach: An observational study

Relationships between full-day arm movement characteristics and developmental status in infants with typical development as they learn to reach: An observational study

Quantitative Analysis of EEG Power Spectrum and EMG Median Power Frequency Changes after Continuous Passive Motion Mirror Therapy System

Relationships between variance in electroencephalography relative power and developmental status in infants with typical development and at risk for developmental disability: An observational study

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