1. Using multiple short epochs optimises the stability of infant EEG connectivity parameters
- Author
-
Chantal Kemner, Rianne Haartsen, Emily J.H. Jones, Bauke van der Velde, Mark H. Johnson, Apollo - University of Cambridge Repository, and Johnson, Mark [0000-0003-4229-2585]
- Subjects
Male ,631/378/2649 ,Computer science ,lcsh:Medicine ,Interval (mathematics) ,Electroencephalography ,Paediatric research ,Stability (probability) ,050105 experimental psychology ,psyc ,03 medical and health sciences ,0302 clinical medicine ,Connectome ,medicine ,Range (statistics) ,Humans ,0501 psychology and cognitive sciences ,lcsh:Science ,Reliability (statistics) ,Multidisciplinary ,medicine.diagnostic_test ,business.industry ,05 social sciences ,lcsh:R ,article ,Brain ,Infant ,Reproducibility of Results ,Cognitive neuroscience ,Graph theory ,Pattern recognition ,692/308/3187 ,lcsh:Q ,Artificial intelligence ,business ,Neurocognitive ,030217 neurology & neurosurgery - Abstract
Atypicalities in connectivity between brain regions have been implicated in a\ud range of neurocognitive disorders. We require metrics to assess stable individual\ud differences in connectivity in the developing brain, while facing the challenge of\ud limited data quality and quantity. Here, we examine how varying core processing\ud parameters can optimise the test-retest reliability of EEG connectivity measures\ud in infants.\ud EEG was recorded twice with a 1-week interval between sessions in 10-\ud month-olds. EEG alpha connectivity was measured across different epoch lengths\ud and numbers, with the phase lag index (PLI) and debiased weighted PLI\ud (dbWPLI), for both whole-head connectivity and graph theory metrics. We\ud calculated intra-class correlations between sessions for infants with sufficient\ud data for both sessions (N’s = 19 – 41, depending on the segmentation method).\ud Reliability for the whole brain dbWPLI was higher across many short\ud epochs, whereas reliability for the whole brain PLI was higher across fewer long\ud epochs. However, the PLI is confounded by the number of available segments.\ud Reliability was higher for whole brain connectivity than graph theory metrics.\ud Thus, segmenting available data into a high number of short epochs and\ud calculating the dbWPLI is most appropriate for characterising connectivity in\ud populations with limited availability of EEG data.
- Published
- 2020