Frontoparietal network and neuropsychological measures in typically developing children

Isabel Solis¹, Jacki Janowich², Felicha Candelaria-Cook³, William Collishaw⁴, Yu-Ping Wang⁵, Tony W Wilson⁶, Vince D Calhoun⁷, Kristina R T Ciesielski⁸, Julia M Stephen⁹

Affiliations

¹ Department of Psychology, University of New Mexico, 2001 Redondo S Dr, Albuquerque, NM, 87106, USA; Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: isolis@mrn.org.
² Department of Psychology, University of New Mexico, 2001 Redondo S Dr, Albuquerque, NM, 87106, USA; Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: jackijanowich@gmail.com.
³ Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: fccook@mrn.org.
⁴ Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: wcollishaw@mrn.org.
⁵ Department of Biomedical Engineering, Tulane University, 6823 St. Charles Ave, New Orleans, LA, 70118, USA. Electronic address: wyp@tulane.edu.
⁶ Department of Neurological Sciences, University of Nebraska Medical Center, 988440 Nebraska Medical Center, Omaha, NE, 68198, USA. Electronic address: twwilson@unmc.edu.
⁷ Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA; Department of Electrical and Computer Engineering, University of New Mexico, 498 Terrace St NE, Albuquerque, NM, 87106, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, 33 Glimer St SE, Atlanta, GA, 30303, USA. Electronic address: vcalhoun@gsu.edu.
⁸ Department of Psychology, University of New Mexico, 2001 Redondo S Dr, Albuquerque, NM, 87106, USA; MGH/MIT A. A. Martinos Center for Biomed. Imaging, Dept of Radiology, Harvard Medical School, 149 Thirteenth St, Suite 2301, Charleston, MA, 02129, USA. Electronic address: ktc@unm.edu.
⁹ Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: jstephen@mrn.org.

PMID: 34119500
PMCID: PMC11512481
DOI: 10.1016/j.neuropsychologia.2021.107914

Frontoparietal network and neuropsychological measures in typically developing children

Isabel Solis et al. Neuropsychologia. 2021.

. 2021 Aug 20:159:107914.

doi: 10.1016/j.neuropsychologia.2021.107914. Epub 2021 Jun 10.

Authors

Isabel Solis¹, Jacki Janowich², Felicha Candelaria-Cook³, William Collishaw⁴, Yu-Ping Wang⁵, Tony W Wilson⁶, Vince D Calhoun⁷, Kristina R T Ciesielski⁸, Julia M Stephen⁹

Affiliations

¹ Department of Psychology, University of New Mexico, 2001 Redondo S Dr, Albuquerque, NM, 87106, USA; Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: isolis@mrn.org.
² Department of Psychology, University of New Mexico, 2001 Redondo S Dr, Albuquerque, NM, 87106, USA; Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: jackijanowich@gmail.com.
³ Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: fccook@mrn.org.
⁴ Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: wcollishaw@mrn.org.
⁵ Department of Biomedical Engineering, Tulane University, 6823 St. Charles Ave, New Orleans, LA, 70118, USA. Electronic address: wyp@tulane.edu.
⁶ Department of Neurological Sciences, University of Nebraska Medical Center, 988440 Nebraska Medical Center, Omaha, NE, 68198, USA. Electronic address: twwilson@unmc.edu.
⁷ Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA; Department of Electrical and Computer Engineering, University of New Mexico, 498 Terrace St NE, Albuquerque, NM, 87106, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, 33 Glimer St SE, Atlanta, GA, 30303, USA. Electronic address: vcalhoun@gsu.edu.
⁸ Department of Psychology, University of New Mexico, 2001 Redondo S Dr, Albuquerque, NM, 87106, USA; MGH/MIT A. A. Martinos Center for Biomed. Imaging, Dept of Radiology, Harvard Medical School, 149 Thirteenth St, Suite 2301, Charleston, MA, 02129, USA. Electronic address: ktc@unm.edu.
⁹ Mind Research Network and Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd N.E., Albuquerque, NM, 87106, USA. Electronic address: jstephen@mrn.org.

PMID: 34119500
PMCID: PMC11512481
DOI: 10.1016/j.neuropsychologia.2021.107914

Abstract

Resting-state activity has been used to gain a broader understanding of typical and aberrant developmental changes. However, the developmental trajectory of resting-state activity in relation to cognitive performance has not been studied in detail. The present study assessed spectral characteristics of theta (5-8 Hz) and alpha (9-13 Hz) frequency bands during resting-state in a priori selected regions of the frontoparietal network (FPN). We also examined the relationship between resting-state activity and cognitive performance in typically developing children. We hypothesized that older children and children with high attentional scores would have higher parietal alpha activity and frontal theta activity while at rest compared to young children and those with lower attentional scores. MEG data were collected in 65 typically developing children, ages 9-14 years, as part of the Developmental Chronnecto-Genomics study. Resting-state data were collected during eyes open and eyes closed for 5 min. Participants completed the NIH Toolbox Flanker Inhibitory Control (FICA) and Attention Test and Dimensional Change Card Sort Test (DCCS) to assess top-down attentional control. Spectral power density was used to characterize the FPN. We found during eyes open and eyes closed, all participants had higher theta and alpha power in parietal regions relative to frontal regions. The group with high attentional scores had higher alpha power during resting-state eyes closed compared to those with low attentional scores. However, there were no significant differences between age groups, suggesting changes in the maturation of neural oscillations in theta and alpha are not evident among children in the 9-14-year age range.

Keywords: Frontoparietal network; Magnetoencephalography; Neurodevelopment; Resting-state.

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Figures

**Figure 1.**
Mean spectral power in a) theta (5–8 Hz) and b) alpha (9–13 Hz) frequency bands, eyes open and c) theta and d) alpha frequency bands, eyes closed across younger and older children. Frontal regions had significantly lower power spectral density (PSD) compared to parietal regions in both frequency bands in both conditions. L = left; R = Right; rMF = rostral middle frontal; rACC = rostral anterior cingulate cortex; IP = inferior parietal; PC = precuneus.

**Figure 2.**
Eyes closed, mean alpha (9–13 Hz) spectral power across the Flanker Inhibitory Control and Attention Test (FICA) attentional groups. A significant difference found in eyes closed resting-state, revealing greater alpha in higher attentional group compared to low attentional group. PSD = power spectral density; L = left; R = Right; rMF = rostral middle frontal; rACC = rostral anterior cingulate cortex; IP = inferior parietal; PC = precuneus.

See this image and copyright information in PMC

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Frontoparietal network and neuropsychological measures in typically developing children

Affiliations

Frontoparietal network and neuropsychological measures in typically developing children

Authors

Affiliations

Abstract

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References

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