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Titel:

Neonatal multi-modal cortical profiles predict 18-month developmental outcomes.

Dokumenttyp:
Journal Article; Research Support, Non-U.S. Gov't
Autor(en):
Fenchel, Daphna; Dimitrova, Ralica; Robinson, Emma C; Batalle, Dafnis; Chew, Andrew; Falconer, Shona; Kyriakopoulou, Vanessa; Nosarti, Chiara; Hutter, Jana; Christiaens, Daan; Pietsch, Maximilian; Brandon, Jakki; Hughes, Emer J; Allsop, Joanna; O'Keeffe, Camilla; Price, Anthony N; Cordero-Grande, Lucilio; Schuh, Andreas; Makropoulos, Antonios; Passerat-Palmbach, Jonathan; Bozek, Jelena; Rueckert, Daniel; Hajnal, Joseph V; McAlonan, Grainne; Edwards, A David; O'Muircheartaigh, Jonathan
Abstract:
Developmental delays in infanthood often persist, turning into life-long difficulties, and coming at great cost for the individual and community. By examining the developing brain and its relation to developmental outcomes we can start to elucidate how the emergence of brain circuits is manifested in variability of infant motor, cognitive and behavioural capacities. In this study, we examined if cortical structural covariance at birth, indexing coordinated development, is related to later infant...     »
Zeitschriftentitel:
Dev Cogn Neurosci
Jahr:
2022
Band / Volume:
54
Volltext / DOI:
doi:10.1016/j.dcn.2022.101103
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/35364447
Print-ISSN:
1878-9293
TUM Einrichtung:
Institut für KI und Informatik in der Medizin (Prof. Rückert)
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