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Cocaine use is a major public health problem with serious negative consequences at both the individual and societal levels. Cocaine use disorder (CUD) is associated with cognitive and emotional impairments, often manifesting as alterations in brain functional connectivity (FC). This study employed resting-state functional magnetic resonance imaging (rs-fMRI) to examine dynamic FC in 38 male participants with CUD and 31 matched healthy controls. Using group spatial independent component analysis (group ICA) combined with sliding window approach, we identified two recurring distinct connectivity states: the strongly-connected state (state 1) and weakly-connected state (state 2). CUD patients exhibited significant increased mean dwell and fraction time in state 1, and increased transitions from state 2 to state 1, demonstrated significant strongly-connected state tendency. Our analysis revealed abnormal FC patterns that are state-dependent and state-shared in CUD patients. This study observed hyperconnectivity within the default mode network (DMN) and between DMN and other networks, which varied depending on the state. Furthermore, after adjustment for multiple comparisons, we found significant correlations between these altered dynamic FCs and clinical measures of impulsivity and borderline personality disorder. The disrupted FC and repetitive effects of precuneus and angular gyrus across correlations suggested that they might be the important hub of neural circuits related behaviorally and mentally in CUD. In summary, our study highlighted the potential of these disrupted FC as neuroimaging biomarkers and therapeutic targets, and provided new insights into the understanding of the neurophysiologic mechanisms of CUD.
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http://dx.doi.org/10.1016/j.jpsychires.2024.06.012 | DOI Listing |
Nat Ecol Evol
September 2025
Department of Biology, Georgetown University, Washington, DC, USA.
Theory predicts that high population density leads to more strongly connected spatial and social networks, but how local density drives individuals' positions within their networks is unclear. This gap reduces our ability to understand and predict density-dependent processes. Here we show that density drives greater network connectedness at the scale of individuals within wild animal populations.
View Article and Find Full Text PDFImaging Neurosci (Camb)
May 2025
Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States.
Dogs and humans have co-evolved for millennia. This provides an opportunity to examine neural adaptations supporting cross-species communication. Previous canine fMRI studies have identified functional activations in response to human voice perception.
View Article and Find Full Text PDFImaging Neurosci (Camb)
June 2025
Normandy University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Neuropresage Team, Caen, France.
Meditation training in older adults has been proposed as a non-pharmacological intervention to promote healthy aging and lower the risks of developing Alzheimer's disease (AD). Resting-state dynamic functional network connectivity (dFNC) highlighted two brain states, the "strongly connected" and "default mode network (DMN)-negatively connected" states, associated with protective factors for dementia including AD, and two states, the "weakly connected" and "salience-negatively connected" states, associated with risk factors for dementia. In this study, we aimed at assessing the impact of an 18-month meditation training on dFNC states in older adults.
View Article and Find Full Text PDFBrain Connect
August 2025
Department of Physiology, School of Medicine, Erciyes University, Kayseri, Turkey.
Tinnitus is a neurological condition characterized by the perception of ringing or other phantom sounds in the absence of external auditory stimuli. It affects an estimated 10%-15% of adults worldwide and can significantly affect sleep and mood. Neuroimaging techniques, particularly functional Magnetic Resonance Imaging (fMRI), have been widely used to investigate the auditory system and brain networks in tinnitus.
View Article and Find Full Text PDFBMC Bioinformatics
July 2025
Institute for Quantitative Health Science and Engineering, 775 Woodlot Dr, East Lansing, MI, 48824, USA.
Background: Brain implants have significant potential for therapeutic applications and neuroscience research, but complex tissue responses often compromise their long-term stability. To address this challenge, differential coexpression analysis can be used to identify key molecular regulators involved in brain implant responses.
Results: We developed DiffCoRank, an integrated framework that improves differential coexpression analysis by integrating the techniques of RNA-Seq data preprocessing, gene filtering, correlation-based module identification, and network analysis to discover differentially coexpressed gene clusters.