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An increasing body of experimental data have suggested that aberrant functional interactions between large-scale networks may be the most plausible explanation of psychopathology across multiple mental disorders, including substance-related and addictive disorders. In the current research, we have investigated the association between problematic cannabis use (PCU) and triple-network electroencephalographic (EEG) functional connectivity. Twelve participants with PCU and 24 non-PCU participants were included in the study. EEG recordings were performed during resting state (RS). The exact Low-Resolution Electromagnetic Tomography software (eLORETA) was used for all EEG analyses. Compared to non-PCU, PCU participants showed an increased delta connectivity between the salience network (SN) and central executive network (CEN), specifically, between the dorsal anterior cingulate cortex and right posterior parietal cortex. The strength of delta connectivity between the SN and CEN was positively and significantly correlated with higher problematic patterns of cannabis use after controlling for age, sex, educational level, tobacco use, problematic alcohol use, and general psychopathology ( = 0.40, = 0.030). Taken together, our results show that individuals with PCU could be characterized by a specific dysfunctional interaction between the SN and CEN during RS, which might reflect the neurophysiological underpinnings of attentional and emotional processes of cannabis-related thoughts, memories, and craving.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139645 | PMC |
http://dx.doi.org/10.3390/brainsci10030136 | DOI Listing |
Hum Brain Mapp
December 2024
Institute of Cognitive Neuroscience, Department of Biopsychology, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany.
Learning new categories is fundamental to cognition, occurring in daily life through various sensory modalities. However, it is not well known how acquiring new categories can modulate the brain networks. Resting-state functional connectivity is an effective method for detecting short-term brain alterations induced by various modality-based learning experiences.
View Article and Find Full Text PDFVirus Evol
November 2024
Research Laboratory, Botswana Harvard Health Partnership, Gaborone, Private Bag BO 320, Botswana.
Botswana, like the rest of the world, has been significantly impacted by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In December 2022, we detected a monophyletic cluster of genomes comprising a sublineage of the Omicron variant of concern (VOC) designated as B.1.
View Article and Find Full Text PDFArch Bone Jt Surg
January 2024
Orthopaedic Research Center, Department of Orthopaedic Surgery, Poursina Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Objectives: To compare the thickness and function of the quadriceps muscle in subjects with and without patellofemoral pain syndrome (PFPS) by ultrasonography.
Methods: Patients diagnosed with PFPS were included in the study. To measure the thickness of the rectus femoris (RF), vastus medialis longus and oblique (VML, VMO), vastus lateralis (VL) and vastus intermedius (VI), the ultrasonography was employed in rest and normal contraction modes and also the % rest-thickness normal as muscle function.
Front Neural Circuits
December 2024
Department of Physiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
[This corrects the article DOI: 10.3389/fncir.2024.
View Article and Find Full Text PDFJ Pain Res
December 2024
College of Acupuncture and Massage (Rehabilitation Medical College), Anhui University of Chinese Medicine, Hefei, People's Republic of China.
Purpose: The aim of the research was to observe the variations in brain activity between young cervical spondylosis patients with chronic neck pain (CNP) and healthy volunteers in the resting state and to investigate the central remodeling mechanisms in the patients.
Patients And Methods: Our study recruited 31 patients with chronic neck pain from cervical spondylosis and 30 healthy volunteers. Eventually, 29 patients (CNP group) and 29 healthy volunteers (HC group) completed the acquisition of clinical data and resting-state functional magnetic resonance ( BOLD-fMRI) amplitude of low-frequency fluctuations (ALFF) data; in addition, we assessed the relationship between differentially active brain regions and clinical indicators.
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