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Background: People who regularly use cannabis exhibit altered brain dynamics during cognitive control tasks, though the impact of regular cannabis use on the neural dynamics serving motor control remains less understood. Aims: We sought to investigate how regular cannabis use modulates the neural dynamics serving motor control. Methods: Thirty-four people who regularly use cannabis (cannabis+) and 33 nonusers (cannabis−) underwent structured interviews about their substance use history and performed the Eriksen flanker task to map the neural dynamics serving motor control during high-density magnetoencephalography (MEG). The resulting neural data were transformed into the time–frequency domain to examine oscillatory activity and were imaged using a beamforming approach. Results: MEG sensor-level analyses revealed robust beta (16–24 Hz) and gamma oscillations (66–74 Hz) during motor planning and execution, which were imaged using a beamformer. Both responses peaked in the left primary motor cortex and voxel time series were extracted to evaluate the spontaneous and oscillatory dynamics. Our key findings indicated that the cannabis+ group exhibited weaker spontaneous gamma activity in the left primary motor cortex relative to the cannabis− group, which scaled with cannabis use and behavioral metrics. Interestingly, regular cannabis use was not associated with differences in oscillatory beta and gamma activity, and there were no group differences in spontaneous beta activity. Conclusions: Our findings suggest that regular cannabis use is associated with suppressed spontaneous gamma activity in the left primary motor cortex, which scales with the degree of cannabis use disorder symptomatology and is coupled to behavioral task performance. [ABSTRACT FROM AUTHOR]

Regular cannabis use is associated with cortex‐wide changes in spontaneous and oscillatory activity, although the functional significance of such changes remains unclear. We hypothesized that regular cannabis use would suppress spontaneous gamma activity in regions serving cognitive control and scale with task performance. Participants (34 cannabis users, 33 nonusers) underwent an interview regarding their substance use history and completed the Eriksen flanker task during magnetoencephalography (MEG). MEG data were imaged in the time‐frequency domain and virtual sensors were extracted from the peak voxels of the grand‐averaged oscillatory interference maps to quantify spontaneous gamma activity during the pre‐stimulus baseline period. We then assessed group‐level differences in spontaneous and oscillatory gamma activity, and their relationship with task performance and cannabis use metrics. Both groups exhibited a significant behavioral flanker interference effect, with slower responses during incongruent relative to congruent trials. Mixed‐model ANOVAs indicated significant gamma‐frequency neural interference effects in the left frontal eye fields (FEF) and left temporoparietal junction (TPJ). Further, a group‐by‐condition interaction was detected in the left FEF, with nonusers exhibiting stronger gamma oscillations during incongruent relative to congruent trials and cannabis users showing no difference. In addition, spontaneous gamma activity was sharply suppressed in cannabis users relative to nonusers in the left FEF and TPJ. Finally, spontaneous gamma activity in the left FEF and TPJ was associated with task performance across all participants, and greater cannabis use was associated with weaker spontaneous gamma activity in the left TPJ of the cannabis users. Regular cannabis use was associated with weaker spontaneous gamma in the TPJ and FEF. Further, the degree of use may be proportionally related to the degree of suppression in spontaneous activity in the left TPJ. [ABSTRACT FROM AUTHOR]

Kaposi's sarcoma-associated herpesvirus (KSHV) is an important oncogenic virus previously shown to be neurotropic, but studies on neuronal cell infection and pathogenesis are still very limited. Here, we characterized the effects of KSHV infection on neuronal SH-SY5Y cells by the recombinant virus rKSHV.219, which expresses both green fluorescent protein (GFP) and red fluorescent protein (RFP) to reflect the latent and lytic phases of infection. We demonstrated that infected cells have a higher growth rate and that KSHV infection can be sustained. Interestingly, the infected cells can transition spontaneously back and forth between lytic and latent phases of infection, producing progeny viruses but without any adverse effects on cell growth. In addition, transcriptome analysis of viral and cellular genes in latent and lytic cells showed that unlike other infected cell lines, the latently infected cells expressed both latent and most, but not all, of the lytic genes required for infectious virion production. The viral genes uniquely expressed by the lytic cells were mainly involved in the early steps of virus binding. Some of the cellular genes that were deregulated in both latently and lytically infected cells are involved in cell adhesion, cell signal pathways, and tumorigenesis. The downregulated cellular CCDN1, PAX5, and NFASC and upregulated CTGF, BMP4, YAP1, LEF1, and HLA-DRB1 genes were found to be associated with cell adhesion molecules (CAMs), hippo signaling, and cancer. These deregulated genes may be involved in creating an environment that is unique in neuronal cells to sustain cell growth upon KSHV infection and not observed in other infected cell types. IMPORTANCE Our study has provided evidence that neuronal SH-SY5Y cells displayed unique cellular responses upon KSHV infection. Unlike other infected cells, this neuronal cell line displayed a higher growth rate upon infection and can spontaneously transition back and forth between latent and lytic phases of infection. Unlike other latently infected cells, a number of lytic genes were also expressed in the latent phase of infection in addition to the established latent viral genes. They may play a role in deregulating a number of host genes that are involved in cell signaling and tumorigenesis in order to sustain the infection and growth advantages for the cells. Our study has provided novel insights into KSHV infection of neuronal cells and a potential new model for further studies to explore the underlying mechanism in viral and host interactions for neuronal cells and the association of KSHV with neuronal diseases. [ABSTRACT FROM AUTHOR]

Background: Psychosocial distress among youth is a major public health issue characterized by disruptions in cognitive control processing. Using the National Institute of Mental Health's Research Domain Criteria (RDoC) framework, we quantified multidimensional neural oscillatory markers of psychosocial distress serving cognitive control in youth., Methods: The sample consisted of 39 peri-adolescent participants who completed the NIH Toolbox Emotion Battery (NIHTB-EB) and the Eriksen flanker task during magnetoencephalography (MEG). A psychosocial distress index was computed with exploratory factor analysis using assessments from the NIHTB-EB. MEG data were analyzed in the time-frequency domain and peak voxels from oscillatory maps depicting the neural cognitive interference effect were extracted for voxel time series analyses to identify spontaneous and oscillatory aberrations in dynamics serving cognitive control as a function of psychosocial distress. Further, we quantified the relationship between psychosocial distress and dynamic functional connectivity between regions supporting cognitive control., Results: The continuous psychosocial distress index was strongly associated with validated measures of pediatric psychopathology. Theta-band neural cognitive interference was identified in the left dorsolateral prefrontal cortex (dlPFC) and middle cingulate cortex (MCC). Time series analyses of these regions indicated that greater psychosocial distress was associated with elevated spontaneous activity in both the dlPFC and MCC and blunted theta oscillations in the MCC. Finally, we found that stronger phase coherence between the dlPFC and MCC was associated with greater psychosocial distress., Conclusions: Greater psychosocial distress was marked by alterations in spontaneous and oscillatory theta activity serving cognitive control, along with hyperconnectivity between the dlPFC and MCC., Competing Interests: The authors report no biomedical financial interests or potential conflicts of interest., (© 2023 The Authors.)

Cases of concussions in the United States keep increasing and are now up to 2 million to 3 million incidents per year. Although concussions are recoverable and usually not life-threatening, the degree and rate of recovery may vary depending on age, severity of the injury, and past concussion history. A subsequent concussion before full recovery may lead to more-severe brain damage and poorer outcomes. Electroencephalography (EEG) recordings can identify brain dysfunctionality and abnormalities, such as after a concussion. Routine EEG monitoring can be a convenient method for reducing unreported injuries and preventing long-term damage, especially among groups with a greater risk of experiencing a concussion, such as athletes participating in contact sports. Because of the relative availability of EEG compared to other brain-imaging techniques (e.g., functional magnetic resonance imaging), the use of EEG monitoring is growing for various neurological disorders. In this longitudinal study, EEG was analyzed from 4 football athletes before their athletic season and also within 7 days of concussion. Compared to a control group of 4 additional athletes, a concussion was detected with up to 99.5% accuracy using EEG recordings in the Theta-Alpha band. Classifiers that use data from only a subset of the EEG electrodes providing reliable detection are also proposed. The most effective classifiers used EEG recordings from the Central scalp region in the Beta band and over the Temporal scalp region using the Theta-Alpha band. This proof-of-concept study and preliminary findings suggest that EEG monitoring may be used to identify a sports-related concussion occurrence with a high level of accuracy and thus reduce the chance of unreported concussion., Competing Interests: No competing financial interests exist., (© Amirsalar Mansouri et al., 2021; Published by Mary Ann Liebert, Inc.)