Publications by authors named "Lucia Torres-Simon"

Changes in brain oscillatory activity are commonly used as biomarkers both in cognitive neuroscience and in neuropsychiatric conditions. However, little is known about how its profile changes across maturation. Here we use regression models to characterize magnetoencephalography power changes within classical frequency bands in a sample of 792 healthy participants, covering the range 13 to 80 years old.

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Background: Aging is a complex and natural process. The physiological decline related to aging is accompanied by a slowdown in cognitive processes, which begins shortly after individuals reach maturity. These changes have been sometimes interpreted as a compensatory sign and others as a fingerprint of deterioration.

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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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Objective: This study sought to identify magnetoencephalography (MEG) power spectra patterns associated with cerebrovascular damage (white matter hyperintensities - WMH) and their relationship with cognitive performance and brain structure integrity in aging individuals without cognitive impairment.

Methods: We hypothesized a "slowness" pattern characterized by increased power in δ and θ bands and decreased power in the β band associated with the severity of vascular damage. MEG signals were analyzed in cognitively healthy older adults to investigate these associations.

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Article Synopsis
  • The study explored the relationship between a verbal learning task, the Test of Memory Strategies (TMS), and Alzheimer's Disease biomarkers in cerebrospinal fluid (CSF) among participants with mild cognitive impairment (MCI) from Poland and Spain.
  • Researchers analyzed 47 participants, dividing them into two groups based on CSF biomarker status, and found significant connections between TMS performance and biomarkers like Aβ42, t-tau, and p-tau.
  • Results indicated that participants with lower biomarkers, or CSF-, performed better on the TMS-3 condition, suggesting that improving executive functions could help MCI patients enhance their memory capabilities.
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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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Delayed recall (DR) impairment is one of the most significant predictive factors in defining the progression to Alzheimer's disease (AD). Changes in brain functional connectivity (FC) could accompany this decline in the DR performance even in a resting state condition from the preclinical stages to the diagnosis of AD itself, so the characterization of the relationship between the two phenomena has attracted increasing interest. Another aspect to contemplate is the potential moderator role of the APOE genotype in this association, considering the evidence about their implication for the disease.

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Verbal fluency tests are easy and quick to use in neuropsychological assessments, so they have been counted among the most classical tools in this context. To date, several normative data for verbal fluency tests have been provided in different languages and countries. A systematic review was carried out with studies that provide normative data for verbal fluency tests.

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Objective: The use of the electroencephalography (EEG) technique in Alzheimer's disease (AD) diagnosis is scarce due to a lack of validation of its neurophysiological information with current biomarkers. Therefore, our goal was to assess correlations between brain spectral power signatures and cerebrospinal fluid markers (CSF) such as amyloid-β 42 load (Aβ-42), total tau (t-tau), and phosphorylated tau (p-tau) in a mild cognitive impairment (MCI) population. Furthermore, given the AD sex-dependent vulnerability related to CSF biomarkers, we went a little forward looking for different electrophysiological correlations for males and females independently.

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Vascular Cognitive Impairment (VCI) is the second most prevalent dementia after Alzheimer's Disease (AD), and cerebrovascular disease (CBVD) is a major comorbid contributor to the progression of most neurodegenerative diseases. Early differentiation of cognitive impairment is critical given both the high prevalence of CBVD, and that its risk factors are modifiable. The ability for electroencephalogram (EEG) and magnetoencephalogram (MEG) to detect changes in brain functioning for other dementias suggests that they may also be promising biomarkers for early VCI.

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Background: Stroke is the second leading cause of death worldwide and it causes important long-term cognitive and physical deficits that hamper patients' daily activity. Neuropsychological rehabilitation (NR) has increasingly become more important to recover from cognitive disability and to improve the functionality and quality of life of these patients. Since in most stroke cases, restoration of functional connectivity (FC) precedes or accompanies cognitive and behavioral recovery, understanding the electrophysiological signatures underlying stroke recovery mechanisms is a crucial scientific and clinical goal.

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