Biological Underpinnings of Socio-emotional Regulation in Preterm Infants and Healthy Controls
NCT ID: NCT05253924
Last Updated: 2023-10-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
76 participants
OBSERVATIONAL
2021-07-13
2024-07-13
Brief Summary
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Detailed Description
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1. explore frontal and parietal alpha EEG signal asymmetry in association with social-emotional regulation in a group of preterm infants aged 6-12 months (age corrected, CA).
Secondary aims are:
2. the investigation of epigenetic correlates (methylation of target genes:(i.e. SLC6A4, NR3C1, OXTR, Piezo1, Piezo2, TRPV1 and TRPM8) associated with social-emotional regulation
3. the contribution of mother's interoceptive awareness (Heartbeat Counting Task index) in social-emotional regulation in a sample of premature infants aged 6-12 months (CA).
The study involves the following procedures:
* EEG signal recording and analysis (frontal alpha rhythm asymmetry; FAA) in PT and FT infants
* Video recording of mother-child interaction in accordance with a modified version of the Still Face paradigm.
* Collection of biological material (DNA)
* Assessment of mothers' interoceptive awareness via Heartbeat Counting Task
Significance and innovation:
To the best of our knowledge, no study has evaluated the association between (1) EEG signal asymmetry, (2) methylation patterns of candidate genes, (3) mothers' interoceptive awareness (Heartbeat Counting Task index), and socio-emotional regulation in premature infants during the first months of life.
The present study will integrate several biomarkers and observational data to better elucidate the role of electroencephalographic activation patterns, epigenetic variations, and mothers' interoceptive awareness in the socio-emotional regulation abilities of infants born prematurely. In addition, a particularly novel aspect of this study is the application of EEG signal recording during the Still Face paradigm. The measurement of the EEG signal during this paradigm could increase our knowledge with respect to the brain mechanisms underlying socio-emotional regulation in premature infants and in healthy control.
Moreover, the focus on parental bodily states might provide a new perspective suggesting that enteroceptive awareness may contribute to support caregiver's ability to understand (and respond to) the infant's signals and emotional states.
Impact:
This study is warranted to provide relevant insights for the biochemical and neurological underpinnings of socio-emotional development in preterm infants and will provide new evidence-base information for improving the quality of supportive interventions for preterm infants and caregivers in and outside the NICU. In addition, the identification of potential electroencephalographic patterns associated with emotional regulation in premature and term infants may prove to be a novel biomarker for the early detection of children at risk for emotional and behavioral problems.
Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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Preterm children (PT)
gestational age at birth \<37
DNA methylation of target genes
The methylation status of target genes (BDNF, SLC6A4, OXTR, NR3C1, Piezo1, Piezo2, TRPV1 andTRPM8) will be investigated. Saliva sample will be collected for PT and FT. Genomic DNA will be extracted from aliquots of 0. 4 ml of each saliva sample with the Oragene OG575 (DNA Genotek) and stored at -20°C. Aliquots of 250 ng of each DNA will be edited for methylation analysis with the EZ DNA Methylation Lightning kit (Zymo Research). Amplification of samples and their preparation for NGS sequencing will be performed. Samples will be sequenced on NextSeq 500 (Illumina). Individual processed sequences (PE reads) will be independently aligned to reference sequences using a parallel Smith-Waterman algorithm. Only reads that consistently align to the same reference sequence will be retained. At each CpG site in each analyzed sequence, the frequencies of the four bases will be evaluated.
EEG acquisition
Both PT and FT infants will have their EEG signal recorded during mother-baby interaction according to a modified version of the Still Face paradigm; the EEG signal will be recorded by means of the medical system eego mylab (AntNeuro), using special headphones equipped with 32 electrodes and suitable to acquire the EEG signal since early childhood. After spectral analysis of the EEG signal, the difference in signal strength in the alpha band recorded by two homologous electrodes (or electrode clusters) (i.e. right alpha - left alpha) will be calculated to obtain the FAA index. Because the alpha frequency band is associated with cortical inhibitory activity, a lower asymmetry reflects less left hemisphere activation than right hemisphere activation. The analysis of EEG data will be performed in MatLab environment using the eeglab software and algorithms developed ad hoc.
Full-term children (FT)
gestational age at birth ≥ 37 weeks
DNA methylation of target genes
The methylation status of target genes (BDNF, SLC6A4, OXTR, NR3C1, Piezo1, Piezo2, TRPV1 andTRPM8) will be investigated. Saliva sample will be collected for PT and FT. Genomic DNA will be extracted from aliquots of 0. 4 ml of each saliva sample with the Oragene OG575 (DNA Genotek) and stored at -20°C. Aliquots of 250 ng of each DNA will be edited for methylation analysis with the EZ DNA Methylation Lightning kit (Zymo Research). Amplification of samples and their preparation for NGS sequencing will be performed. Samples will be sequenced on NextSeq 500 (Illumina). Individual processed sequences (PE reads) will be independently aligned to reference sequences using a parallel Smith-Waterman algorithm. Only reads that consistently align to the same reference sequence will be retained. At each CpG site in each analyzed sequence, the frequencies of the four bases will be evaluated.
EEG acquisition
Both PT and FT infants will have their EEG signal recorded during mother-baby interaction according to a modified version of the Still Face paradigm; the EEG signal will be recorded by means of the medical system eego mylab (AntNeuro), using special headphones equipped with 32 electrodes and suitable to acquire the EEG signal since early childhood. After spectral analysis of the EEG signal, the difference in signal strength in the alpha band recorded by two homologous electrodes (or electrode clusters) (i.e. right alpha - left alpha) will be calculated to obtain the FAA index. Because the alpha frequency band is associated with cortical inhibitory activity, a lower asymmetry reflects less left hemisphere activation than right hemisphere activation. The analysis of EEG data will be performed in MatLab environment using the eeglab software and algorithms developed ad hoc.
Interventions
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DNA methylation of target genes
The methylation status of target genes (BDNF, SLC6A4, OXTR, NR3C1, Piezo1, Piezo2, TRPV1 andTRPM8) will be investigated. Saliva sample will be collected for PT and FT. Genomic DNA will be extracted from aliquots of 0. 4 ml of each saliva sample with the Oragene OG575 (DNA Genotek) and stored at -20°C. Aliquots of 250 ng of each DNA will be edited for methylation analysis with the EZ DNA Methylation Lightning kit (Zymo Research). Amplification of samples and their preparation for NGS sequencing will be performed. Samples will be sequenced on NextSeq 500 (Illumina). Individual processed sequences (PE reads) will be independently aligned to reference sequences using a parallel Smith-Waterman algorithm. Only reads that consistently align to the same reference sequence will be retained. At each CpG site in each analyzed sequence, the frequencies of the four bases will be evaluated.
EEG acquisition
Both PT and FT infants will have their EEG signal recorded during mother-baby interaction according to a modified version of the Still Face paradigm; the EEG signal will be recorded by means of the medical system eego mylab (AntNeuro), using special headphones equipped with 32 electrodes and suitable to acquire the EEG signal since early childhood. After spectral analysis of the EEG signal, the difference in signal strength in the alpha band recorded by two homologous electrodes (or electrode clusters) (i.e. right alpha - left alpha) will be calculated to obtain the FAA index. Because the alpha frequency band is associated with cortical inhibitory activity, a lower asymmetry reflects less left hemisphere activation than right hemisphere activation. The analysis of EEG data will be performed in MatLab environment using the eeglab software and algorithms developed ad hoc.
Eligibility Criteria
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Inclusion Criteria
• gestational age ≥ 37weeks;
* mothers of Italian nationality;
* mother over 18 years of age;
* mother with absence of manifest psychiatric and/or cognitive pathologies (must be previously diagnosed major psychiatric pathologies);
* non-addicted/no habitual use of psychotropic medications, drugs, alcohol no smoking;
* non-single-parent families.
\-
6 Months
1 Year
ALL
Yes
Sponsors
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IRCCS Eugenio Medea
OTHER
Responsible Party
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Locations
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Associalzione La Nostra Famiglia - IRCCS Eugenio Medea
Bosisio Parini, Lecco, Italy
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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Id. 867
Identifier Type: -
Identifier Source: org_study_id
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