Background: Despite the great number of resting state functional connectivity studies on Eating Disorders (ED), no biomarkers could be detected yet. Therefore, we here focus on a different measure of resting state activity that is neuronal variability. The objective of this study was to investigate neuronal variability in the resting state of women with ED and to correlate possible differences with clinical and psychopathological indices.
Methods: 58 women respectively 25 with Anorexia Nervosa (AN), 16 with Bulimia Nervosa (BN) and 17 matched healthy controls (CN) were enrolled for the study. All participants were tested with a battery of psychometric tests and underwent a functional Magnetic Resonance Imaging (fMRI) resting state scanning. We investigated topographical patterns of variability measured by the Standard Deviation (SD) of the Blood-Oxygen-Level-Dependent (BOLD) signal (as a measure of neuronal variability) in the resting-state and their relationship to clinical and psychopathological indices.
Results: Neuronal variability was increased in both anorectic and bulimic subjects specifically in the Ventral Attention Network (VAN) compared to healthy controls. No significant differences were found in the other networks. Significant correlations were found between neuronal variability of VAN and various clinical and psychopathological indices.
Conclusions: We here show increased neuronal variability of VAN in ED patients. As the VAN is relevant for switching between endogenous and exogenous stimuli, our results showing increased neuronal variability suggest unstable balance between body attention and attention to external world. These results offer new perspective on the neurobiological basis of ED. Clinical and therapeutic implication will be discussed.
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http://dx.doi.org/10.1016/j.eurpsy.2018.08.005 | DOI Listing |
PeerJ
January 2025
Genomic Mechanisms of Ontogenesis, Institute of Cytology and Genetics, Novosibirsk, Novosibirsk, Russia.
Copy number variations of the human gene, resulting from megabase-scale microdeletions or microduplications in the 3p26.3 region, are frequently implicated in neurodevelopmental disorders such as intellectual disability and developmental delay. However, duplication of the full-length human gene presents with variable penetrance, resulting in phenotypes that range from neurodevelopmental disorders to no visible pathologies, even within the same family.
View Article and Find Full Text PDFHum Mol Genet
January 2025
Department of Human Genetics, Inselspital Bern, University of Bern, Freiburgstrasse 15, Bern 3010, Switzerland.
While de novo missense variants in the BTB domains of atypical RhoGTPase RHOBTB2 cause a severe developmental and epileptic encephalopathy, de novo missense variants in the GTPase domain or bi-allelic truncating variants are associated with more variable neurodevelopmental and seizure phenotypes. Apart from the observation of RHOBTB2 abundance resulting from BTB-domain variants and increased seizure susceptibility in Drosophila overexpressing RhoBTB, our knowledge on RHOBTB2-related pathomechanisms is limited. We now found enrichment for ion channels among the differentially expressed genes from RNA-Seq on fly heads overexpressing RhoBTB.
View Article and Find Full Text PDFJ Neuroinflammation
January 2025
Spinal Cord and Brain Injury Research Center, Department of Physiology, College of Medicine, University of Kentucky, Lexington Kentucky, USA.
Objective: Therapeutic translation is challenging in spinal cord injury (SCI) and large animal models with high clinical relevance may accelerate therapeutic development. Pigs have important anatomical and physiological similarities to humans. Intraspinal inflammation mediates SCI pathophysiology.
View Article and Find Full Text PDFCell Rep
January 2025
Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK. Electronic address:
Adaptive value-guided decision-making requires weighing up the costs and benefits of pursuing an available opportunity. Though neurons across frontal cortical-basal ganglia circuits have been repeatedly shown to represent decision-related parameters, it is unclear whether and how this information is coordinated. To address this question, we performed large-scale single-unit recordings simultaneously across 5 medial/orbital frontal and basal ganglia regions as rats decided whether to pursue varying reward payoffs available at different effort costs.
View Article and Find Full Text PDFJ Comput Neurosci
January 2025
Paris-Saclay University, Centre National de la Recherche Scientifique (CNRS), Institute of Neuroscience (NeuroPSI), 91198, Gif sur Yvette, France.
To model the dynamics of neuron membrane excitability many models can be considered, from the most biophysically detailed to the highest level of phenomenological description. Recent works at the single neuron level have shown the importance of taking into account the evolution of slow variables such as ionic concentration. A reduction of such a model to models of the integrate-and-fire family is interesting to then go to large network models.
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