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Resting State Functional Connectivity of the Default Mode Network During Opioid Use and Cessation in Treatment-Seeking Persons.
Eur J Neurosci
January 2025
Department of Psychology, University of Georgia, Athens, Georgia, USA.
Resting-state functional connectivity analyses have been used to examine synchrony in neural networks in substance use disorders (SUDs), with the default mode network (DMN) one of the most studied. Prior research has generally found less DMN synchrony during use and greater synchrony during cessation, although little research has utilized this method with opioid use. This study examined resting brain activity in treatment-seeking persons who use opioids at two points-when using opioids and when opioid-free-to determine whether the DMN exhibits different levels of connectivity during opioid use and cessation and whether differences in connectivity predict subsequent relapse.
View Article and Find Full Text PDFImpaired interhemispheric synchrony in patients with iridocyclitis and classification using machine learning: an fMRI study.
Front Immunol
December 2024
Department of ophthalmology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Background: This study examined the interhemispheric integration function pattern in patients with iridocyclitis utilizing the voxel-mirrored homotopic connectivity (VMHC) technique. Additionally, we investigated the ability of VMHC results to distinguish patients with iridocyclitis from healthy controls (HCs), which may contribute to the development of objective biomarkers for early diagnosis and intervention in clinical set.
Methods: Twenty-six patients with iridocyclitis and twenty-six matched HCs, in terms of sex, age, and education level, underwent resting-state functional magnetic resonance imaging (fMRI) examinations.
Synaptic plasticity: from chimera states to synchronicity oscillations in multilayer neural networks.
Cogn Neurodyn
December 2024
State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, No.28 Xianning West Road, Xi'an, 710049 People's Republic of China.
This research scrutinizes the simultaneous evolution of each layer within a multilayered complex neural network and elucidates the effect of synaptic plasticity on inter-layer dynamics. In the absence of synaptic plasticity, a predominant feedforward effect is observed, resulting in the manifestation of complete synchrony in deep networks, with each layer assuming a chimera state. A significant increase in the number of synchronized neurons is observed as the layers augment, culminating in complete synchronization in the deeper sections.
View Article and Find Full Text PDFSomatic anxiety refers to the tendency to appraise situations as threatening, leading to heightened physiological arousal. Symptoms associated with higher levels of somatic anxiety that reflect autonomic arousal and perceptions of threat include elevated heartbeat perception, difficulty breathing, and palpitation. Somatic anxiety is generally associated with increased stimulus-driven attention; however, it is currently unknown how somatic anxiety modulates neural synchrony, measured by intersubject correlations (ISC), in response to complex audiovisual stimuli.
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