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The aim of the study was to evaluate a novel EEG scoring system as a diagnostic and prognostic tool for brain injury in infants who had experienced perinatal asphyxia. The scoring system, based on a semi-quantitative approach, encompassed seven EEG parameters and their aggregate Dammiss score (DS) measured across seven time points (6 h, 12 h, 24 h, 48 h, 72 h, 78 h, and 2 weeks). The EEGs of 61 full-term newborns affected by perinatal asphyxia and treated with therapeutic hypothermia were evaluated. The EEG parameters were correlated with the outcome at 2 years of age: 41 infants showed normal development; 16 presented with mild neurological abnormalities; and 4 developed cerebral palsy. Key EEG features-such as maturational patterns, sleep states, interburst interval, burst morphology and DS at 6 h of life-were highly predictive of outcomes. Correlations were also observed for sleep states, burst morphology, and DS at 12 and 24 h. Notably, burst amplitude and seizure did not correlate with outcome. Additionally, EEG recovery-observed in all patients-was temporarily impaired by seizures in 18% of the cooled infants. The EEG findings within the first 6 h of life were the most predictive of neurodevelopmental outcomes. The DS and EEG maturational features emerged as the most robust indicators of prognosis.
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http://dx.doi.org/10.3390/jcm14061920 | DOI Listing |
Comput Methods Biomech Biomed Engin
September 2025
Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India.
Parkinson's disease (PD) is a neurodegenerative condition that impairs motor functions. Accurate and early diagnosis is essential for enhancing well-being and ensuring effective treatment. This study proposes a deep learning-based approach for PD detection using EEG signals.
View Article and Find Full Text PDFNeurotrauma Rep
August 2025
Department of Radiology, Weill Cornell Medicine; New York, New York, USA.
Traumatic brain injury (TBI) impairs attention and executive function, often through disrupted coordination between cognitive and autonomic systems. While electroencephalography (EEG) and pupillometry are widely used to assess neural and autonomic responses independently, little is known about how these systems interact in TBI. Understanding their coordination is essential to identify compensatory mechanisms that may support attention under conditions of neural inefficiency.
View Article and Find Full Text PDFNeurotrauma Rep
August 2025
Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China.
Accurate differentiation between persistent vegetative state (PVS) and minimally conscious state and estimation of recovery likelihood in patients in PVS are crucial. This study analyzed electroencephalography (EEG) metrics to investigate their relationship with consciousness improvements in patients in PVS and developed a machine learning prediction model. We retrospectively evaluated 19 patients in PVS, categorizing them into two groups: those with improved consciousness ( = 7) and those without improvement ( = 12).
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Introduction: Anti-N-methyl-D-aspartate receptor (NMDA-R) encephalitis is a neuropsychiatric disorder with additional psychiatric features caused by NMDA-R immunoglobulin G (IgG) antibodies in cerebrospinal fluid (CSF). This report presents the follow-up of a patient in whom we assumed mild NMDA-R encephalitis in the first psychotic episode.
Case Study: A patient with a prior episode of an acute polymorphic psychotic syndrome relapsed five and a half years later following a severe COVID-19 infection.
iScience
September 2025
Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Goal-directed behavior requires adjusting cognitive control, both in preparation for and in reaction to conflict. Theta oscillations and population activity in dorsomedial prefrontal cortex (dmPFC) and dorsolateral PFC (dlPFC) are known to support reactive control. Here, we investigated their role in proactive control using human intracranial electroencephalogram (EEG) recordings during a Stroop task that manipulated conflict expectations.
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