Publications by authors named "Alberto Del Cerro-Leon"

The alpha rhythm is a hallmark of electrophysiological resting-state brain activity, that serves as a biomarker in health and disease. Alpha power is far from uniform over time, exhibiting dynamic fluctuations. The likelihood of those power values can be captured by a decreasing exponential function, which in certain cases becomes bimodal.

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The microstructural and macrostructural integrity of white matter (WM) underpins efficient brain function, and is known to decline with age and vascular burden. Key aspects of WM health include axonal fibre density, myelination, free-water content, and the presence of tissue damage or lesions. Magnetic Resonance Imaging (MRI) offers multiple complementary sequences to non-invasively estimate these properties in vivo.

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Introduction: Research on the influence of transcranial alternating current stimulation over alpha functional connectivity (FC) is scarce, even when it poses as a potential treatment for various diseases. This study aimed to investigate the effects of individual alpha frequency tACS (IAF-tACS) on FC within the default mode network (DMN) in healthy individuals, particularly following the triple network model.

Materials And Methods: 27 healthy participants were recruited, who underwent a 20-min IAF-tACS session over parieto-occipital areas and three magnetoencephalography (MEG) recordings: two pre-stimulation and one post-stimulation.

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Background: The demand for fresh strategies to analyze intricate multidimensional data in neuroscience is increasingly evident. One of the most complex events during our neurodevelopment is adolescence, where our nervous system suffers constant changes, not only in neuroanatomical traits but also in neurophysiological components. One of the most impactful factors we deal with during this time is our environment, especially when encountering external factors such as social behaviors or substance consumption.

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Alcohol consumption during adolescence has been associated with neuroanatomical abnormalities and the appearance of future disorders. However, the latest advances in this field point to the existence of risk profiles which may lead to some individuals into an early consumption. To date, some studies have established predictive models of consumption based on sociodemographic, behavioral, and anatomical-functional variables using MRI.

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Article Synopsis
  • White matter hyperintensities (WMH) are common in older adults, linked to cognitive decline, stroke risk, and mental health issues, making early detection important.
  • The study aims to evaluate the effectiveness of automated WMH measurement tools against traditional manual methods to better identify individuals at risk for cerebrovascular problems.
  • Supervised algorithms showed better accuracy in detecting smaller WMH, and real-world testing indicated these tools could reliably identify moderate vascular damage and assist in assessing cognitive health in adults.
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Article Synopsis
  • Cerebrovascular damage from small vessel disease (SVD) is common in older adults, and white matter hyperintensities (WMH) increase with age, detected through MRI using the STRIVE criteria.
  • Current methods for assessing WMH are time-consuming and inconsistent, prompting the study to evaluate different automated segmentation software against manual assessment to enhance accuracy and practicality.
  • The study found that supervised algorithms outperformed others in detecting small WMHs, proposed a new biomarker for moderate vascular damage related to WMH volume, and highlighted the correlation of this marker with variations in brain structure and behavior in healthy adults.
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Article Synopsis
  • The article mentions a correction related to its DOI number for proper reference.
  • The DOI being corrected is 10.3389/fnins.2023.1223950, indicating it is part of a published work in the field of neuroscience.
  • The correction is likely important for ensuring accurate citation and access to the research discussed in the article.
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The alpha rhythm is often associated with relaxed wakefulness or idling and is altered by various factors. Abnormalities in the alpha rhythm have been linked to several neurological and psychiatric disorders, including Alzheimer's disease. Transcranial alternating current stimulation (tACS) has been proposed as a potential tool to restore a disrupted alpha rhythm in the brain by stimulating at the individual alpha frequency (IAF), although some research has produced contradictory results.

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Cerebrovascular disease is responsible for up to 20% of cases of dementia worldwide, but also it is a major comorbid contributor to the progression of other neurodegenerative diseases, like Alzheimer's disease. White matter hyperintensities (WMH) are the most prevalent imaging marker in cerebrovascular disease. The presence and progression of WMH in the brain have been associated with general cognitive impairment and the risk to develop all types of dementia.

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Introduction: Heavy drinking (HD) prevalent pattern of alcohol consumption among adolescents, particularly concerning because of their critical vulnerability to the neurotoxic effects of ethanol. Adolescent neurodevelopment is characterized by critical neurobiological changes of the prefrontal, temporal and parietal regions, important for the development of executive control processes, such as inhibitory control (IC). In the present Magnetoencephalography (MEG) study, we aimed to describe the relationship between electrophysiological Functional Connectivity (FC) during an IC task and HD development, as well as its impact on functional neuromaturation.

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Adolescent Binge Drinking (BD) has become an increasing health and social concern, with detrimental consequences for brain development and functional integrity. However, research on neurophysiological and neuropsychological traits predisposing to BD are limited at this time. In this work, we conducted a 2-year longitudinal magnetoencephalography (MEG) study over a cohort of initially alcohol-naïve adolescents with the purpose of exploring anomalies in resting-state electrophysiological networks, impulsivity, sensation-seeking, and dysexecutive behaviour able to predict future BD patterns.

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