Dynamic interaction between the cerebrum and the cerebellum during visual word processing.

Numerous studies have investigated the relationship between the cerebellum and reading. Yet, the specific contribution of the cerebellum to reading and its interaction with the cerebrum remain elusive. To address these issues, we combined dynamic brain state analysis with large-scale network analysis to examine the imaging data gathered from the reading tasks (i.e., orthographic, phonological, and semantic tasks) and the resting period. Our analysis revealed three dynamic brain states. The first state (DFS1) exhibited a higher ratio and a longer duration in all tasks, indicating its involvement in general task-related processes. The second state (DFS2) was predominantly active during the resting stage, representing a resting-related state. The third state (DFS3) displayed a higher ratio in the reading tasks compared to the non-reading tasks, indicating its association with reading-dependent processes. In all states, hubs were predominantly distributed in the cerebrum. For DFS2, one hub was also observed in the cerebellum. Furthermore, DFS2 showed significant modularity between the cerebrum and the cerebellum. This study sheds light on the dynamic collaboration between the cerebrum and the cerebellum across different imaging modalities, offering a deeper and more comprehensive understanding of their interaction during reading and non-reading periods.

Advancements in Vascular Closure Devices for Effective Hemostasis in Femoral Artery Interventions.

With medical technology development, endovascular intervention has been widely used in clinical practice, and the establishment of surgical access through the femoral artery, where most vascular interventions are performed, is a common method. Postoperative hemostasis at the femoral artery puncture site is a key part of interventional procedures and is particularly important to ensure the safety and effectiveness of hemostasis. Some patients undergoing interventional therapy also use anticoagulant and antiplatelet drugs preoperatively and undergo systemic heparin session intraoperatively, which leads to abnormal coagulation, thus increasing the difficulty of hemostasis at the puncture point postoperatively. Certain patients with specific conditions, such as combined vascular calcification, obesity, diabetes mellitus, and renal impairment, present more challenging cases for postoperative puncture point hemostasis. Femoral artery puncture site hemostasis methods include manual compression, arterial compression devices, and vascular closure devices, which are a kind of equipment that helps interventional doctors stop bleeding quickly at the femoral artery puncture site. From the 1990s to the present, vascular occluders with many different concepts and mechanisms have emerged. Based on different hemostatic principles and materials, the mechanisms and principles of action are varied and include sealant occlusion, collagen patch embolization, polyester suture closure, absorbable polyethanol embolic agents, nickel-titanium alloy clips, polydiethanol sealant embolization, and suture bioabsorbable patches. Many studies have compared the hemostatic effect of vascular closure devices with those of manual compression. In this article, we review the hemostatic effects of the 2 modalities and the advances in the use of vascular closure devices in vascular intervention.

Knowledge mapping analysis of ground glass nodules: a bibliometric analysis from 2013 to 2023.

Background: In recent years, the widespread use of computed tomography (CT) in early lung cancer screening has led to an increase in the detection rate of lung ground glass nodules (GGNs). The persistence of GGNs, which may indicate early lung adenocarcinoma, has been a focus of attention for scholars in the field of lung cancer prevention and treatment in recent years. Despite the rapid development of research into GGNs, there is a lack of intuitive content and trend analyses in this field, as well as a lack of detailed elaboration on possible research hotspots. The objective of this study was to conduct a comprehensive analysis of the knowledge structure and research hotspots of lung ground glass nodules over the past decade, employing bibliometric methods. Method: The Web of Science Core Collection (WoSCC) database was searched for relevant ground-glass lung nodule literature published from 2013-2023. Bibliometric analyses were performed using VOSviewer, CiteSpace, and the R package "bibliometrix". Results: A total of 2,218 articles from 75 countries and 2,274 institutions were included in this study. The number of publications related to GGNs has been high in recent years. The United States has led in GGNs-related research. Radiology has one of the highest visibilities as a selected journal and co-cited journal. Jin Mo Goo has published the most articles. Travis WD has been cited the most frequently. The main topics of research in this field are Lung Cancer, CT, and Deep Learning, which have been identified as long-term research hotspots. The GGNs-related marker is a major research trend in this field. Conclusion: This study represents the inaugural bibliometric analysis of applied research on ground-glass lung nodules utilizing three established bibliometric software. The bibliometric analysis of this study elucidates the prevailing research themes and trends in the field of GGNs over the past decade. It also furnishes pertinent recommendations for researchers to provide objective descriptions and comprehensive guidance for future related research.

Isolation and Characterization of Exosomes Derived from Mouse Spleen Tissues.

Exosomes (Exo) are lipid-bilayer structures secreted by various cells, including those of animals, plants, and prokaryotes. Previous studies have revealed that Exo derived from humoral or cell-supernatant are promising targets for novel diagnostic or prognostic biomarkers, underscoring their significant role in disease pathogenesis. Tissue-derived Exo (Ti-Exo) have attracted increasing attention due to its ability to accurately reflect tissue specificity and the microenvironment. Ti-Exo, present in interstitial space, play crucial roles in intercellular communication and cross-organ signaling. Despite their recognized value in elucidating disease mechanisms, isolating Ti-Exo remains challenging due to the complexity of tissue matrices and variability in extraction methods. In this study, we developed a practical protocol for isolating exosomes from mice spleen tissue, providing a reproducible technique for subsequent identification analysis and functional studies. We used Type I collagenase digestion combined with differential ultracentrifugation to isolate spleen-derived Exo. The characteristics of isolated Exo were determined through electron microscopy, the nano-flow cytometer, and the western blot. The isolated spleen-derived Exo displayed the typical morphology of lipid bilayer vesicles, with particle sizes ranging from 30 nm to 150 nm. In addition, the expression profile of exosome markers confirmed the presence and purity of exosomes. Taken together, we successfully established a practical protocol for isolating spleen-derived Exo in mice.

Targeting the autoreactive CD8+ T-cell receptor in type 1 diabetes: Insights from scRNA-seq for immunotherapy.

Type 1 Diabetes (T1D) is an autoimmune disease characterized by the attack and destruction of Pancreatic islet beta cells by T cells. Understanding the role of T-cell receptor (TCR) in the development of T1D is of paramount importance. This study employs single-cell RNA sequencing (scRNA-seq) to delve into the mechanistic actions and potential therapeutic applications of autoreactive stem cell-like CD8 TCR in T1D. By retrieving T-cell data from non-obese diabetic (NOD) mice via the GEO database, it was revealed that CD8+ T cells are the predominant T-cell subset in the pancreatic tissue of T1D mice, along with the identification of T-cell marker genes closely associated with T1D. Moreover, the gene TRAJ23 exhibits a preference for T1D, and its knockout alleviates T1D symptoms and adverse reactions in NOD mice. Additionally, engineered TCR-T cells demonstrate significant cytotoxicity towards ß cells in T1D.

Factors related to the intention of choosing shared E-scooters for metro transfer: A survey study integrating weather perception into satisfaction evaluation from Changsha.

Shared E-scooter (SE) travel is a low-carbon transportation method that can be further enhanced by integrating with metro systems. This study aims to quantify the impact of the built environment, attitude preferences, weather perception, and other factors on the evaluation and intention to use the "SE-metro transfer" travel mode, as well as how to efficiently and concisely measure and model these effects. Empirical analysis was conducted using questionnaire data from Changsha, China, with 683 participants surveyed. Three satisfaction models were established and compared based on the Technology Acceptance Model (TAM), and an optimal M2 model was expanded to incorporate users' subjective perceptions of weather, proposing a method to simplify questionnaire length. The study found that well-designed vehicles and infrastructure, along with necessary supporting facilities, play important roles in enhancing SE usage. However, there are still many areas for optimization in Changsha's SE policies. Despite the advantages of SE in terrain and physical fitness, which have significantly expanded and changed their user base compared to traditional shared bicycles, there is still much potential to adapt to the middle-aged and older user groups. The results of this study can provide valuable insights for professionals and government officials in designing systems, constructing infrastructure, and formulating policies.

Symptom Cluster Assessment Tools for Gastric Cancer Care in China: A Comprehensive Review.

Gastric cancer is a common malignant tumor, and its incidence rate ranks first among malignant tumors of the digestive tract, seriously endangering human physical and mental health. Changes in the physiological state of gastric cancer patients can bring about many physical and psychological symptoms and have a serious impact on their quality of life. Symptom clusters are 2 or more concurrently occurring and interrelated symptoms, with the core symptoms within the cluster remaining stable over time and the symptoms in the cluster being independent of each other. The prerequisite for solving this problem is to screen out appropriate symptom assessment tools according to the clinical situation. The aim of this study was to provide a reference for the development of assessment tools suitable for symptom clusters of gastric cancer patients in China, and to provide evidence for the subsequent optimization of symptom management and some clinical decisions. The contents, application, advantages, and disadvantages of symptom cluster assessment tools for gastric cancer patients in China and abroad were reviewed, and the basic situation and contents of each assessment tool were compared. In China, most of the assessment tools used in domestic gastric cancer research institutes were imported from foreign scales, with a long time span and low specificity for symptoms in various stages of disease development at present. Scholars should be encouraged to develop time-specific assessment tools for the disease characteristics of gastric cancer patients in China, and actively explore the pathogenesis and influencing factors of symptom clusters in this population.

Identification of potential diagnostic biomarkers and therapeutic targets in patients with hypoxia pulmonary hypertension.

BACKGROUND: Pulmonary hypertension is a serious disease. Emerging studies have shown that M2 macrophages play an essential role in pulmonary hypertension; however, their mechanism of action is uncertain. METHODS: Four GEO datasets were downloaded. The differentially expressed genes (DEGs) were obtained using the limma package. Simultaneously, the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm and weighted gene co-expression network analysis (WGCNA) were used to get the information about M2 macrophage-related modules. Potential key genes were obtained by intersecting DEGs with M2 macrophage-related module genes (M2MRGs), and finally the area under the curve (AUC) was calculated. Rats were exposed to hypoxia condition (10 % O2) for 4 weeks to induce PH. Subsequently, potential key genes with AUC>0.7 were analyzed by quantitative real-time polymerase chain reaction and Western blot using normoxia and hypoxia rat lungs. We knocked down EPHA3 in Raw264.7 cells and detected the protein expression of M2 macrophage markers including arginase 1 (ARG1) and interleukin 10 (IL-10), phospho-protein kinase B (P-Akt), and protein kinase B (Akt) to explore the downstream pathways of EPHA3. RESULTS: Seven potential hub genes were detected by intersecting M2MRGs and DEGs. Six genes with AUC values above 0.7 were used for further exploration. The expression of EPHA3 mRNA and protein was significantly more upregulated in rats with hypoxia than in rats with normoxia. The expression levels of IL10, ARG1, and P-Akt/Akt decreased after knocking down EPHA3. CONCLUSIONS: This study suggested that the activation of the P-Akt/Akt signaling pathway promoted by EPHA3 played an essential role in the progression of pulmonary hypertension.

Increased sensitivity to social hierarchy during social competition versus cooperation.

Social hierarchy is a typical feature of social organization. The ability to quickly recognize social hierarchy information is crucial for adapting to social contexts. Here, we adopted fast periodic visual stimulation with electroencephalography to assess the neural responses to social hierarchy during social competition and cooperation, respectively. Participants first learned hierarchical faces from a competitive game versus a cooperative game. We then sequentially presented the learned hierarchical faces with a specific frequency in a set of faces. Results showed that participants rated the inferior player as lower in the social hierarchy in the cooperative context compared to the competitive context, indicating that social context affects the judgment of others' rank. Moreover, higher neural responses to high and low-hierarchy faces versus medium-hierarchy faces were observed, suggesting rapid discrimination of social hierarchy from faces. Interestingly, rank-specific neural responses were more pronounced in the competitive context than in the cooperative context, indicating increased sensitivity to social hierarchy during social competition versus social cooperation. This study provides behavioral and neural evidence for rapid, automatic processing of social hierarchy information and for an increased sensitivity to such information in competitive versus cooperative social contexts.

Exploring the impact of lighting sources on walking behavior in obstructed walkways among older adults.

The pandemic has reinforced older adults' reliance on their homes and the concept of "aging in place". Changes like reduced physical strength and cognitive deficit, however, have heightened the challenge of simple tasks like obstacle crossing among older adults, let alone when older adults cannot perceive the surroundings well during the nighttime. The study is, therefore, to evaluate the impact of lighting on older adults' obstacle-crossing behavior during the nighttime. Twenty-seven older adults (81 ± 6 yrs., 171 ± 12 cm, 75 ± 20 kg, 14 females) were recruited. Participants were asked to cross over the obstacle in a dark residential environment under point or line light. We found that the line light tended to (1) induce more external rotation of the trailing hip (p = 0.037) and more internal rotation of the leading ankle (p < 0.001) at leading leg liftoff; and (2) result in a more upright and erect posture during stance phase (less hip flexion, p = 0.006) and swing phase of the trailing leg (reduced pelvic flexion, p = 0.038). Postural changes induced by line light demonstrated improved body control, highlighting the influence of spatial information (horizontal & vertical directions) on crossing behavior in dark environments. The findings can provide additional evidence for the design of light systems in both retirement communities and individual homes. This is particularly important when designing built environments for the aging population, in cases where the surroundings may pose challenges such as obstructed walking, and other complex floor conditions.

Common and Key Differential Pathogenic Pathways in Desminopathy and Titinopathy.

Myofibrillar myopathy (MFM) is a group of hereditary myopathies that mainly involves striated muscles. This study aimed to use tandem mass tag (TMT)-based proteomics to investigate the underlying pathomechanisms of two of the most common MFM subtypes, desminopathy and titinopathy. Muscles from 7 patients with desminopathy, 5 with titinopathy and 5 control individuals were included. Samples were labelled with TMT and then underwent high-resolution liquid chromatography-mass spectrometry analysis. Compared with control samples, there were 436 differentially abundant proteins (DAPs) in the desminopathy group and 269 in the titinopathy group. When comparing the desminopathy with the titinopathy group, there were 113 DAPs. In desminopathy, mitochondrial ATP production, muscle contraction, and cytoskeleton organization were significantly suppressed. Activated cellular components and pathways were mostly related to extracellular matrix (ECM). In titinopathy, mitochondrial-related pathways and the cellular component ECM were downregulated, while gluconeogenesis was activated. Direct comparison between desminopathy and titinopathy revealed hub genes that were all involved in glycolytic process. The disparity in glycolysis in the two MFM subtypes is likely due to fiber type switching. This study has revealed disorganization of cytoskeleton and mitochondrial dysfunction as the common pathophysiological processes in MFM, and glycolysis and ECM as the differential pathomechanism between desminopathy and titinopathy. This offers a future direction for targeted therapy for MFM.

Machine Learning-Driven discovery of immunogenic cell Death-Related biomarkers and molecular classification for diabetic ulcers.

In this study, we redefine the diagnostic landscape of diabetic ulcers (DUs), a major diabetes complication. Our research uncovers new biomarkers linked to immunogenic cell death (ICD) in DUs by utilizing RNA-sequencing data of Gene Expression Omnibus (GEO) analysis combined with a comprehensive database interrogation. Employing a random forest algorithm, we have developed a diagnostic model that demonstrates improved accuracy in distinguishing DUs from normal tissue, with satisfactory results from ROC analysis. Beyond mere diagnosis, our model categorizes DUs into novel molecular classifications, which may enhance our comprehension of their underlying pathophysiology. This study bridges the gap between molecular insights and clinical practice. It sets the stage for transformative strategies in DUs management, marking a significant step forward in personalized medicine for diabetic patients.

Effects of Trimethylamine N-Oxide in Improving Exercise Performance in Mice: A 1H-NMR-Based Metabolomic Analysis Approach.

To improve exercise performance, the supplement of nutrients has become a common practice before prolonged exercise. Trimethylamine N-oxide (TMAO) has been shown to ameliorate oxidative stress damage, which may be beneficial in improving exercise capacity. Here, we assessed the effects of TMAO on mice with exhaustive swimming, analyzed the metabolic changes, and identified significantly altered metabolic pathways of skeletal muscle using a nuclear magnetic resonance-based (NMR-based) metabolomics approach to uncover the effects of TMAO improving exercise performance of mice. We found that TMAO pre-administration markedly prolonged the exhaustive time in mice. Further investigation showed that TMAO pre-administration increased levels of 3-hydroxybutyrate, isocitrate, anserine, TMA, taurine, glycine, and glutathione and disturbed the three metabolic pathways related to oxidative stress and protein synthesis in skeletal muscle. Our results provide a metabolic mechanistic understanding of the effects of TMAO supplements on the exercise performance of skeletal muscle in mice. This work may be beneficial in exploring the potential of TMAO to be applied in nutritional supplementation to improve exercise performance. This work will lay a scientific foundation and be beneficial to exploring the potential of TMAO to apply in nutritional supplementation.

Using random forest and biomarkers for differentiating COVID-19 and Mycoplasma pneumoniae infections.

The COVID-19 pandemic has underscored the critical need for precise diagnostic methods to distinguish between similar respiratory infections, such as COVID-19 and Mycoplasma pneumoniae (MP). Identifying key biomarkers and utilizing machine learning techniques, such as random forest analysis, can significantly improve diagnostic accuracy. We conducted a retrospective analysis of clinical and laboratory data from 214 patients with acute respiratory infections, collected between October 2022 and October 2023 at the Second Hospital of Nanping. The study population was categorized into three groups: COVID-19 positive (n = 52), MP positive (n = 140), and co-infected (n = 22). Key biomarkers, including C-reactive protein (CRP), procalcitonin (PCT), interleukin- 6 (IL-6), and white blood cell (WBC) counts, were evaluated. Correlation analyses were conducted to assess relationships between biomarkers within each group. The random forest analysis was applied to evaluate the discriminative power of these biomarkers. The random forest model demonstrated high classification performance, with area under the ROC curve (AUC) scores of 0.86 (95% CI: 0.70-0.97) for COVID-19, 0.79 (95% CI: 0.64-0.92) for MP, 0.69 (95% CI: 0.50-0.87) for co-infections, and 0.90 (95% CI: 0.83-0.95) for the micro-average ROC. Additionally, the precision-recall curve for the random forest classifier showed a micro-average AUC of 0.80 (95% CI: 0.69-0.91). Confusion matrices highlighted the model's accuracy (0.77) and biomarker relationships. The SHAP feature importance analysis indicated that age (0.27), CRP (0.25), IL6 (0.14), and PCT (0.14) were the most significant predictors. The integration of computational methods, particularly random forest analysis, in evaluating clinical and biomarker data presents a promising approach for enhancing diagnostic processes for infectious diseases. Our findings support the use of specific biomarkers in differentiating between COVID-19 and MP, potentially leading to more targeted and effective diagnostic strategies. This study underscores the potential of machine learning techniques in improving disease classification in the era of precision medicine.

Primary neurolymphomatosis with MAG antibody: a case report.

Neurolymphomatosis (NL) is a rare neurologic manifestation of non-Hodgkin lymphoma (NHL) with poor prognosis. Investigations including MRI, PET/CT, nerve biopsy and cerebrospinal fluid (CSF) analysis can aid the diagnosis of NL. In this study, we presented a case of NL with co-existing myelin-associated glycoprotein (MAG) antibody. The patient first presented with symptoms of peripheral neuropathy involving multiple cranial nerves and cauda equina, and later developed obstructive hydrocephalus and deep matter lesions. He also had persistently positive MAG antibody, but did not develop electrophysiologically proven neuropathy and monoclonal immunoglobulin. The final brain biopsy confirmed diffuse large B cell lymphoma.

Mapping sagittal-plane reference brain atlas of the cynomolgus macaque (Macaca fascicularis) based on consecutive cytoarchitectonic images.

The brain atlas is essential for exploring the anatomical structure and function of the brain. Non-human primates, such as cynomolgus macaque, have received increasing attention due to their genetic similarity to humans. However, current macaque brain atlases only offer coarse sections with intervals along the coronal direction, failing to meet the needs of single-cell resolution studies in functional and multi-omics research of the macaque brain. To address this issue, we utilized fluorescence micro-optical sectioning tomography to obtain sub-micron resolution cytoarchitectonic images of the macaque brain at the sagittal plane. Based on the obtained 8000 image sequences, a reference brain atlas comprising 45 sagittal sections was created, delineating 270 brain regions other than the cortex. Additionally, a website was established to share the reference atlas corresponding image data. This study is expected to provide an essential dataset and tool for scientists studying the macaque brain.

Liquiritin exerts psoriasis therapy and prevention by regulating the YY1/RBP3 axis.

BACKGROUND: Psoriasis (PSO) poses a global health threat. The current research challenge in PSO is relapse. Liquiritin (LIQ), a major active compound from Glycyrrhiza inflata Batalin, has multiple pharmacological properties, including anti-inflammatory and anti-proliferative. Nonetheless, the precise mechanisms underlying LIQ's therapeutic actions in PSO and prevention abilities remain elusive. PURPOSE: The present study aimed to delve into the potential to treat and prevent PSO and the mechanism of LIQ. METHODS: The anti-inflammatory and anti-proliferative effects of LIQ were studied in vitro with the HaCaT cell line. Then, Transcriptional analysis and bioinformatic analysis were used to determine the internal associations of the target set. Subsequently, functional experiment, luciferase report assay, ChIP-PCR, and immunohistochemical validation of clinical samples were performed to investigate the mechanism of LIQ. Finally, the anti-psoriatic effects and prevention abilities of LIQ were verified in vivo with imiquimod (IMQ)-induced PSO-like mouse models. RESULTS: Here, we identified differentially expressed genes in LIQ-stimulated HaCaT cells and Retinol-Binding Protein 3 (RBP3) as the core target, whereas YY1 was a predicted upstream transcription factor of RBP3. The YY1/RBP3 axis was obviously altered after administering LIQ at optimal doses of 20 µM in vitro and 100 µg/ml in vivo. LIQ can significantly inhibit the progression of PSO in vivo. Notably, LIQ also prevented the relapse of psoriatic lesions induced by the second round of low-dose IMQ. Mechanistically, we observed that LIQ could increase the promotion of YY1 for RBP3 by enhancing the binding affinity between them. CONCLUSION: These findings revealed that the YY1/RBP3 axis is a potential psoriatic target, and LIQ is a promising and innovative therapeutic candidate for the treatment and prevention of PSO.

The role and therapeutic strategies for tissue-resident memory T cells, central memory T cells, and effector memory T cells in psoriasis.

Psoriasis is a skin disease that is inflammatory and persistent, causing a high rate of recurrence, poor quality of life, and significant socioeconomic burden. Its main pathological manifestations are abnormal activation and infiltration of T cells and excessive proliferation of keratinocytes (KCs). The great majority of patients with psoriasis will relapse after remission. It usually lasts a lifetime and necessitates long-term treatment strategies. During periods of activity and remission, one of the main cell types in psoriasis is memory T cells, which include tissue-resident memory T (TRM) cells, central memory T (TCM) cells, and effector memory T (TEM) cells. They work by releasing inflammatory factors, cytotoxic particles, or altering cell subpopulations, leading to increased inflammation or recurrence. This review summarizes the role of memory T cells in the pathology and treatment of psoriasis, with a view to potential novel therapies and therapeutic targets.

[Spectral Characteristics of Dissolved Organic Matter in Sediments from Yuanhe River Basin].

Dissolved organic matter （DOM） plays an important role in indicating the pollution of the water environment, and sediment is the main source of endogenous pollution of the water environment. Research on the spectral characteristics of DOM in sediments was important for the interpretation of water environment pollution. In this study, UV-visible absorption spectroscopy and three-dimensional fluorescence spectroscopy combined with the parallel factor analysis （PARAFAC） were used to analyze the fluorescent components, sources, and influencing factors of DOM in sediments from the Yuanhe River Basin. The results showed that the average of ω（TN）, ω（TP）, and ω（OM） in sediments from the Yuanhe River Basin were 0.52, 0.66, and 21.22 g·kg-1, respectively. The concentrations of total nitrogen and total phosphorus increased along the flow direction. In addition, the sediment DOM from the Yuanhe River Basin mainly originated from terrestrial sources. The chromophoric DOM concentration and aromaticity of DOM from the downstream reaches were significantly higher than those from the upstream and midstream reaches. Based on PARAFAC, four fluorescent components of DOM in sediments from the Yuanhe River Basin were identified, including three humus-like components （C1, C3, and C4） and one protein-like component （C2）. The sediment DOM was dominated by humus-like materials. Moreover, the fluorescent intensity of the fluorescent components was higher in the downstream reaches. Redundancy analysis revealed that the physicochemical properties of sediments in the mainstream and downstream reaches played a more significant role in the spectral properties of DOM. Phosphorus pollution and the terrestrial humus-like substance of sediment DOM were homologous. These results indicated that the spectral properties of DOM were the indicator of water environmental pollution in the region with strong anthropogenic influence.

Oscillatory mechanisms of intrinsic human brain networks.

Non-invasive neuroimaging has revealed specific network-based resting-state dynamics in the human brain, yet the underlying neurophysiological mechanism remains unclear. We employed intracranial electroencephalography to characterize local field potentials within the default mode network (DMN), frontoparietal network (FPN), and salience network (SN) in 42 participants. We identified stronger within-network phase coherence at low frequencies (θ and α band) within the DMN, and at high frequencies (γ band) within the FPN. Hidden Markov modeling indicated that the DMN exhibited preferential low frequency phase coupling. Phase-amplitude coupling (PAC) analysis revealed that the low-frequency phase in the DMN modulated the high-frequency amplitude envelopes of the FPN, suggesting frequency-dependent characterizations of intrinsic brain networks at rest. These findings provide intracranial electrophysiological evidence in support of the network model for intrinsic organization of human brain and shed light on the way brain networks communicate at rest.