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Lopez-Gordo, M. A.

Publications and source records attributed to Lopez-Gordo, M. A..

2 recordsLinked to original sources

Cardiorespiratory fitness is associated with neuroelectric activity complexity in children with overweight or obesity

Cardiorespiratory fitness is one of the most important markers of health. Several studies have demonstrated the relationship between cardiorespiratory fitness and brain functioning in healthy children. Some of these works suggested that cardiorespiratory fitness may have a protective role on the executive function, which represents a set of cognitive mechanisms used to control and coordinate other cognitive abilities. This is particularly relevant in children with overweight or obesity. In these studies, neuroelectric activity is recorded using medical imaging techniques or electroencephalography (EEG). Among the EEG studies, analyses based on the P3 event related potential stand out. However, complementary analyses are necessary to understand the neural mechanisms underlying the associations between cardiorespiratory fitness and brain functioning. EEG complexity, a useful feature that measures the regularity of neuroelectric activity, has been previously associated with cardiorespiratory fitness in adolescents. In this work, we evaluate this association in a group of 87 Caucasian children with overweight/obesity. Our results reveal that the children with higher cardiorespiratory fitness present less EEG complexity while performing a cognitive task that challenges the executive function. In addition, they suggest that the line length, the metric that we used to estimate EEG complexity, performs equally well as those metrics based on the P3 and better than other complexity metrics like sample entropy, as an indicator of cardiorespiratory fitness. Finally, the line length has advantages over the P3: more consistency across EEG regions and cognitive loads, lower experimental complexity, lower computational cost, and higher automatization capability.

neuroscience↗

Combining Aperiodic 1/f Slopes and Brain Simulation: An EEG/MEG Proxy Marker of Excitation/Inhibition Imbalance in Alzheimer's Disease

Accumulation and interaction of amyloid-beta (A{beta}) and tau proteins during progression of Alzheimers disease (AD) are shown to tilt neuronal circuits away from balanced excitation/inhibition (E/I). Current available techniques for noninvasive interrogation of E/I in the intact human brain, e.g., magnetic resonance spectroscopy (MRS), are highly restrictive (i.e., limited spatial extent), have low temporal and spatial resolution and suffer from the limited ability to distinguish accurately between different neurotransmitters complicating its interpretation. As such, these methods alone offer an incomplete explanation of E/I. Recently, the aperiodic component of neural power spectrum, often referred to in the literature as the 1/f slope, has been described as a promising and scalable biomarker that can track disruptions in E/I potentially underlying a spectrum of clinical conditions, such as autism, schizophrenia, or epilepsy, as well as developmental E/I changes as seen in aging. Using 1/f slopes from resting-state spectral data and computational modelling we developed a new method for inferring E/I alterations in AD. We tested our method on recent freely and publicly available electroencephalography (EEG) and magnetoencephalography (MEG) datasets of patients with AD or prodromal disease and demonstrated the methods potential for uncovering regional patterns of abnormal excitatory and inhibitory parameters. Our results provide a general framework for investigating circuit-level disorders in AD and developing therapeutic interventions that aim to restore the balance between excitation and inhibition.

neuroscience↗