Cerebral magnetic resonance spectroscopy – insights into preterm brain injury

There were significant differences in the cerebral metabolite profile at TEA between VP infants with and without brain injury. The <sup>1</sup>H-MRS profile of VP infants with moderate+severe brain damage may reflect profound chronic metabolic alterations.

Authors

Institutions

Publication Details

Journal
Journal of Perinatology
Published
2024-11-28
DOI
https://doi.org/10.1038/s41372-024-02172-2
Citations
3
Primary Topic
Neonatal and fetal brain pathology
Type
article
Field-Weighted Citation Impact
3.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cerebral magnetic resonance spectroscopy – insights into preterm brain injury

Wojciech Zasada, Aleksandra Kowalik, Przemko Kwinta, Magdalena Zasada et al.
3 citations
Journal of Perinatology
Neonatal and fetal brain pathology
3.33
article

Cerebral magnetic resonance spectroscopy – insights into preterm brain injury

Wojciech Zasada, Aleksandra Kowalik, Przemko Kwinta, Magdalena Zasada, Paulina Karcz, Marta Olszewska, Izabela Herman‐Sucharska
article en
3 citations

Abstract

There were significant differences in the cerebral metabolite profile at TEA between VP infants with and without brain injury. The <sup>1</sup>H-MRS profile of VP infants with moderate+severe brain damage may reflect profound chronic metabolic alterations.

Journal of PerinatologyVol. 45(2)
Jagiellonian University (PL)
Narodowe Centrum Nauki
Good health and well-being
Openalex Percentile: Top 7%
Neonatal and fetal brain pathology
3.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.