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1.
Am J Perinatol ; 34(3): 253-258, 2017 Feb.
Article in English | MEDLINE | ID: mdl-27471823

ABSTRACT

Objective Lenticulostriate vasculopathy (LSV) is characterized by linear hyperechogenicities in the basal ganglia found on the head ultrasounds of infants. We reviewed electronic health records of infants with and without LSV to investigate whether physician dictations indicated symptoms which could reflect subtle basal ganglia injury. Study Design In a case-control study, we analyzed data from 46 infants with LSV and 127 controls. Infants were stratified between term and preterm birth. Odds ratios (ORs) and 95% confidence intervals were calculated for tone abnormalities, apnea, feeding difficulties, seizures, and movement abnormalities in the presence of LSV. Results Both term and preterm infants with LSV showed elevated risks for tone abnormalities (OR: 3.6 and 2.9, respectively). Term infants with LSV showed elevated risks for hypotonia (OR: 4.3), apnea (OR: 2.9), and feeding difficulties (OR: 4.1). Preterm infants with LSV showed elevated risks for truncal hypotonia (OR: 3.9) and hyperreflexia (OR: 3.9). Conclusion Our findings provide some evidence that LSV is associated with an increased risk of early signs of abnormal development, possibly relating to signs of subtle basal ganglia injury. Historically LSV has been considered incidental. The associations identified here suggest that LSV findings are worthy of further study.


Subject(s)
Apnea/etiology , Basal Ganglia Cerebrovascular Disease/complications , Feeding and Eating Disorders/etiology , Movement Disorders/etiology , Muscle Hypotonia/etiology , Seizures/etiology , Case-Control Studies , Electronic Health Records , Female , Humans , Infant, Newborn , Male , Premature Birth , Term Birth
2.
PLoS One ; 16(7): e0238485, 2021.
Article in English | MEDLINE | ID: mdl-34214093

ABSTRACT

PURPOSE: Simultaneously recorded electroencephalography and functional magnetic resonance imaging (EEG-fMRI) is highly informative yet technically challenging. Until recently, there has been little information about EEG data quality and safety when used with newer multi-band (MB) fMRI sequences. Here, we measure the relative heating of a MB protocol compared with a standard single-band (SB) protocol considered to be safe. We also evaluated EEG quality recorded concurrently with the MB protocol on humans. MATERIALS AND METHODS: We compared radiofrequency (RF)-related heating at multiple electrodes and magnetic field magnitude, B1+RMS, of a MB fMRI sequence with whole-brain coverage (TR = 440 ms, MB factor = 4) against a previously recommended, safe SB sequence using a phantom outfitted with a 64-channel EEG cap. Next, 9 human subjects underwent eyes-closed resting state EEG-fMRI using the MB sequence. Additionally, in three of the subjects resting state EEG was recorded also during the SB sequence and in an fMRI-free condition to directly compare EEG data quality across scanning conditions. EEG data quality was assessed by the ability to remove gradient and cardioballistic artifacts along with a clean spectrogram. RESULTS: The heating induced by the MB sequence was lower than that of the SB sequence by a factor of 0.73 ± 0.38. This is consistent with an expected heating ratio of 0.64, calculated from the square of the ratio of B1+RMS values of the sequences. In the resting state EEG data, gradient and cardioballistic artifacts were successfully removed using traditional template subtraction. All subjects showed an individual alpha peak in the spectrogram with a posterior topography characteristic of eyes-closed EEG. The success of artifact rejection for the MB sequence was comparable to that in traditional SB sequences. CONCLUSIONS: Our study shows that B1+RMS is a useful indication of the relative heating of fMRI protocols. This observation indicates that simultaneous EEG-fMRI recordings using this MB sequence can be safe in terms of RF-related heating, and that EEG data recorded using this sequence is of acceptable quality after traditional artifact removal techniques.


Subject(s)
Electroencephalography , Magnetic Resonance Imaging , Safety , Artifacts , Data Accuracy , Phantoms, Imaging
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