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An, K.-m.

Publications and source records attributed to An, K.-m..

2 recordsLinked to original sources

Altered Motor Gamma Activity and Hemispheric Lateralisation Reflect Perinatal Maturity in Preterm Children during Motor Control

Preterm birth, defined as delivery before 37 weeks of gestation, is associated with differences in neurodevelopment and an increased likelihood of motor challenges that may persist throughout childhood. However, the neurophysiological correlates of these motor differences remain insufficiently understood. Oscillatory activity in the primary motor cortex is closely linked to motor execution, yet motor-related oscillations have rarely been examined in children born preterm. In this cross-sectional observational study, we investigated motor-related gamma oscillations in 5- to 7-year-old children using a child-customised magnetoencephalography system. Nineteen children born full-term and 18 children born preterm of comparable age performed a child-friendly dominant-hand finger movement task. Movement-related gamma activity was quantified from bilateral precentral gyrus regions used as anatomical proxies for the primary motor cortices. The preterm group showed longer mean response times and greater intra-individual response-time variability than the full-term group (P = 0.003 and P = 0.030, respectively). Contralateral gamma power was also lower in the preterm group (full-term: 59.89 {+/-} 28.87%; preterm: 37.97 {+/-} 25.82%; t(35) = 2.43, P = 0.020, Cohen's d = 0.80). A significant Group x Hemisphere interaction (F(1, 35) = 13.36, P < 0.001, partial 2 = 0.276) further indicated differences in the hemispheric organisation of gamma activity between groups. The gamma laterality index was also lower in children born preterm (full-term: 0.24 {+/-} 0.21; preterm: -0.11 {+/-} 0.37; t(26.4) = 3.51, P = 0.002, Cohen's d = 1.17), consistent with reduced contralateral dominance. Across the whole sample, greater contralateral gamma lateralisation was associated with higher scores on the Hand Movements subtest of the Kaufman Assessment Battery for Children ({rho} = 0.40, P = 0.014, false discovery rate-adjusted q = 0.042) and earlier independent walking ({rho} = 0.57, P < 0.001, q = 0.002). The association with independent walking was also observed within the preterm group ({rho} = 0.78, P < 0.001, q = 0.002). These findings suggest that reduced contralateral gamma power and reduced hemispheric lateralisation in children born preterm may reflect differences in the developmental organisation of motor cortical networks. This study provides new insight into motor cortical organisation and its relationship with motor development following preterm birth.

neuroscience↗

Detection of the 40-Hz Auditory Steady-state Response with Optically Pumped Magnetometers

Magnetoencephalography (MEG) is a functional neuroimaging technique that noninvasively detects the brain magnetic field from neuronal activations. Conventional MEG measures brain signals using superconducting quantum interference devices (SQUIDs). SQUID-MEG requires a cryogenic environment involving a bulky non-magnetic dewar and the consumption of liquid helium, which restricts the variability of the sensor array and the gap between the cortical sources and sensors. Recently, miniature optically pumped magnetometers (OPMs) have been developed and commercialized. OPMs do not require cryogenic cooling and can be placed within millimeters from the scalp. In the present study, we arranged six OPM sensors on the temporal area to detect auditory-related brain responses in a two-layer magnetically shielded room. We presented the auditory stimuli of 1-kHz pure-tone bursts with 200-ms duration and obtained the M50 and M100 components of auditory evoked fields. We delivered the periodic stimuli with a 40-Hz repetition rate and observed the gamma-band power changes and inter-trial phase coherence of auditory steady-state responses at 40 Hz. We found that the OPM sensors have a performance comparable to that of conventional SQUID-MEG sensors, and our results suggest the feasibility of using OPM sensors for functional neuroimaging and brain-computer interface applications.

neuroscience↗