Biology subjects

Lu, B.

Publications and source records attributed to Lu, B..

At least 55 records · Page 3Linked to original sources

bioRxiv2024

DNA Methylome Regulates Virulence and Metabolism in Pseudomonas syringae

Bacterial pathogens employ epigenetic mechanisms, including DNA methylation, to adapt to environmental changes, and these mechanisms play important roles in various biological processes. Pseudomonas syringae is a model phytopathogenic bacterium, but its methylome is less well known than that of other species. In this study, we conducted single-molecule real-time sequencing to profile the DNA methylation landscape in three model pathovars of P. syringae. We identified one Type-I restriction-modification system (HsdMSR), including the conserved sequence motif associated with N6-methyladenine (6mA). About 25%-40% of the genes involved in DNA methylation were conserved in two or more of the strains, revealing the functional conservation of methylation in P. syringae. Subsequent transcriptomic analysis highlighted the involvement of HsdMSR in virulent and metabolic pathways, including the Type III secretion system, biofilm formation, and translational efficiency. The regulatory effect of HsdMSR on transcription was dependent on both strands being fully 6mA methylated. Overall, this work illustrated the methylation profile in P. syringae and the critical involvement of DNA methylation in regulating virulence and metabolism. Thus, this work contributes to a deeper understanding of epigenetic transcriptional control in P. syringae and related bacteria.

microbiology↗

bioRxiv2024

Cell-cycle dependent DNA repair and replication unifies patterns of chromosome instability

Chromosomal instability (CIN) is pervasive in human tumours and often leads to structural or numerical chromosomal aberrations. Somatic structural variants (SVs) are intimately related to copy number alterations but the two types of variant are often studied independently. In addition, despite numerous studies on detecting various SV patterns, there are still no general quantitative models of SV generation. To address this issue, we develop a computational cell-cycle model for the generation of SVs from end-joining repair and replication after double strand break formation. Our model provides quantitative information on the relationship between breakage fusion bridge cycle, chromothripsis, seismic amplification, and extra-chromosomal circular DNA. Given single-cell whole-genome sequencing data, the model also allows us to infer important parameters in SV generation with Bayesian inference. Our quantitative framework unifies disparate genomic patterns resulted from CIN, provides a null mutational model for SV, and reveals new insights into the impact of genome rearrangement on tumour evolution.

genomics↗

bioRxiv2024

Imaging spectroscopy reveals topographic variability effects on grassland functional traits and drought responses

Functional traits and their variations are essential indicators of plant metabolism, growth, distribution, and survival and determine how a plant and an ecosystem function. Under the same climatic condition, traits can vary largely between species and within the same species growing in different topographic conditions. When drought stress occurs, plants that grow in these conditions may respond differently as their topography-driven tolerance and adaptability differ. Insights into topographic variability-driven trait variation and drought response can improve our prediction of ecosystem functioning and ecological impacts. Imaging spectroscopy allows accurate detection of plant species, retrieval of functional traits, and characterization of topography-driven and drought impacts on trait variation across space. However, the use of this data in a heterogeneous grassland ecosystem is challenging as species are small, high mixed, spectrally and texturally similar, and highly varied with small-scale variation in topography. In this paper, we introduce the first study that explores the use of high-resolution airborne imaging spectroscopy to characterize the variation of common traits, including chlorophylls (Chl), carotenoids (Car), Chl/Car ratio, water content (WC), and leaf area index (LAI), across topographic gradients and under drought stress at the species level in a heterogeneous grassland. The results reveal that there were significant relationships between functional traits and topographic variability, and the degree of the relationships deferred among species and under different environmental conditions. The results also show that drought-induced trait responses varied significantly within and between species, especially between drought-tolerant invasive species and native species, between lower and upper slope positions. The study contributes greatly to the advancement in understanding biological and ecological processes for a better prediction of ecosystem functioning under stressed environments.

ecology↗

bioRxiv2023

Bayesian phylogenetics on globally emerging SARS-CoV-2 variant BA.2.86 suggest global distribution and rapid evolution

Using bioinformatic pipelines and Bayseian phylogenetic analyses, we characterized a SARS-CoV-2 variant designated by the World Health Organization as a variant under monitoring in August 2023. Here we analyze the genomes of this SARS-CoV-2 variant, BA.2.86, deposited into GISAID within the two weeks of its emergence (2023-08-14 first submission to 2023-08-31), including the first BA.2.86 genome reported from a traveler originating from Japan. We present bioinformatics methods using publicly available tools to help analysts identify the lineage-defining 12 nucleotide insertion (S:Ins16MPLF), which is often masked by most bioinformatics pipelines. We also applied maximum-likelihood and Bayesian phylogenetics to demonstrate the high mutational rate of the tree branch leading to the emergence of BA.2.86, hinting at possible origins, and predict that BA.2.86 emerged around May 2023 and spread globally rapidly. Taken together, these results provide a framework for more rigorous bioinformatics approaches for teams performing genomic surveillance on viral respiratory pathogens.

bioinformatics↗

bioRxiv2023

Requirement of GrgA for Chlamydia infectious progeny production, optimal growth, and efficient plasmid maintenance

Chlamydia, an obligate intracellular bacterial pathogen, has a unique developmental cycle involving the differentiation of invading elementary bodies (EBs) to noninfectious reticulate bodies (RBs), replication of RBs, and redifferentiation of RBs into progeny EBs. Progression of this cycle is regulated by three sigma factors, which direct the RNA polymerase to their respective target gene promoters. We hypothesized that the Chlamydia-specific transcriptional regulator GrgA, previously shown to activate {sigma}66 and {sigma}28, plays an essential role in chlamydial development and growth. To test this hypothesis, we applied a novel genetic tool known as dependence on plasmid-mediated expression (DOPE) to create Chlamydia trachomatis with conditional GrgA-deficiency. We show that GrgA-deficient C. trachomatis RBs have a growth rate that is approximately half of the normal rate and fail to transition into progeny EBs. In addition, GrgA-deficient C. trachomatis fail to maintain its virulence plasmid. Results of RNA-seq analysis indicate that GrgA promotes RB growth by optimizing tRNA synthesis and expression of nutrient-acquisition genes, while it enables RB-to-EB conversion by facilitating the expression of a histone and outer membrane proteins required for EB morphogenesis. GrgA also regulates numerous other late genes required for host cell exit and subsequent EB invasion into host cells. Importantly, GrgA stimulates the expression of {sigma}54, the third and last sigma factor, and its activator AtoC, and thereby indirectly upregulating the expression of {sigma}54-dependent genes. In conclusion, our work demonstrates that GrgA is a master transcriptional regulator in Chlamydia and plays multiple essential roles in chlamydial pathogenicity. IMPORTANCEHallmarks of the developmental cycle of the obligate intracellular pathogenic bacterium Chlamydia are the primary differentiation of the infectious elementary body (EB) into the proliferative reticulate body (RB) and the secondary differentiation of RBs back into EBs. The mechanisms regulating these transitions remain unclear. In this report, we developed an effective novel strategy termed DOPE that allows for the knockdown of essential genes in Chlamydia. We demonstrate that GrgA, a Chlamydia-specific transcription factor, is essential for the secondary differentiation and optimal growth of RBs. We also show that GrgA, a chromosome-encoded regulatory protein, controls the maintenance of the chlamydial virulence plasmid. Transcriptomic analysis further indicates that GrgA functions as a critical regulator of all three sigma factors that recognize different promoter sets at developmental stages. The DOPE strategy outlined here should provide a valuable tool for future studies examining chlamydial growth, development, and pathogenicity.

microbiology↗

bioRxiv2023

Assessing generalizability of a dengue classifier across multiple datasets

Early diagnosis of dengue fever is important for individual treatment and monitoring disease prevalence in the population. To assist diagnosis, previous studies have proposed classification models to detect dengue from symptoms and clinical measurements. However, there has been little exploration of whether existing models can be used to make predictions for new populations. We trained logistic regression models on five publicly available dengue datasets from previous studies, using three explanatory variables identified as important in prior work: age, white blood cell count, and platelet count. These five datasets were collected at different times in different locations, with a variety of disease rates and patient ages. A model was trained on each dataset, and predictive performance and model calibration was evaluated on both the original (training) dataset, and the other (test) datasets from different studies. We further compared performance with larger models and other classification methods. In-sample area under the receiver operating characteristic curve (AUC) values for the logistic regression models ranged from 0.74 to 0.89, while out-of-sample AUCs ranged from 0.55 to 0.89. Matching age ranges in training/test datasets increased AUC values and balanced the sensitivity and specificity. Adjusting the predicted probabilities to account for differences in dengue prevalence improved calibration in 20/28 training-test pairs. Results were similar when other explanatory variables were included and when other classification methods (decision trees and support vector machines) were used. The in-sample performance of the logistic regression model was consistent with previous dengue classifiers, suggesting the chosen model is a good choice in a variety of settings and has decent overall performance. However, adjustments are required to make predictions on new datasets. Practitioners can use existing dengue classifiers in new settings but should be careful with different patient ages and disease rates.

pathology↗

bioRxiv2023

Renal Cl-/H+ antiporter ClC-5 regulates collagen production and release in Dent Disease models

Mutations in the Cl-/H+ antiporter ClC-5 cause Dents Disease 1 (DD1), a rare primary tubulopathy that eventually progresses to renal failure. In fact, even with normal kidney function, DD1 patients present renal tubulointerstitial fibrosis. However, the link between ClC-5 loss-of-function and renal fibrosis remains unclear. Here, we have shown that DD1 mice models lacking ClC-5 present higher renal collagen deposition and fibrosis. Accordingly, deletion of ClC-5 in human renal proximal tubule epithelial cells (CLCN5 KD) recapitulates this effect. We have demonstrated that CLCN5 KD causes an increase of collagen I (Col I) and IV (Col IV) intracellular levels by promoting their transcription through {beta}-catenin pathway and impairing their lysosomal-mediated degradation. In addition, CLCN5 KD cells release more Col I and IV at the extracellular space that form fibres with altered properties and resistance to removal compared to control cells. Altogether, we describe a new regulatory mechanism for collagens production and release by ClC-5, which is altered in DD1 and provides a better understanding of disease progression to renal fibrosis. SIGNIFICANCE STATEMENTRenal fibrosis is a common pathologic process occurring as consequence of chronic kidney injury and leading to renal dysfunction. Dents Disease is a rare renal pathology that progresses to chronic kidney disease and tubulointerstitial fibrosis. Interestingly, it is caused by mutations in a single gene called CLCN5, therefore it can help understanding the cellular mechanisms of renal fibrosis. Using cellular and mice models of the disease, we describe a mechanism linking CLCN5 function, cell differentiation and regulation of collagen levels, major component of extracellular matrix and important player for renal fibrosis development. In conclusion, our results provide a link between CLCN5 and altered collagen deposition, which could be relevant for other renal Fanconi syndrome related diseases also progressing to fibrosis.

cell biology↗

bioRxiv2023

The Complexity of Functional Connectivity Profiles of the Subgenual Anterior Cingulate Cortex and Dorsal Lateral Prefrontal Cortex in Major Depressive Disorder: a DIRECT Consortium Study

BackgroundThe subgenual anterior cingulate cortex (sgACC) plays a central role in the pathophysiology of major depressive disorder (MDD), and its functional interactive profile with the left dorsal lateral prefrontal cortex (DLPFC) is associated with transcranial magnetic stimulation (TMS) treatment outcomes. Nevertheless, previous research on sgACC functional connectivity (FC) in MDD has yielded inconsistent results, partly due to small sample sizes and limited statistical power. Furthermore, calculating sgACC-FC to target TMS individually is challenging. MethodsLeveraging a large multi-site cross-sectional sample (1660 MDD patients vs. 1341 healthy controls) from Phase II of the Depression Imaging REsearch ConsorTium (DIRECT), we systematically delineated case-control difference maps of sgACC-FC. Then, we explored the potential impact of such group-level abnormality profiles on the TMS target localization and clinical efficacy. Next, we developed an MDD big data-guided individualized TMS targeting algorithm to integrate group-level statistical maps with individual-level brain activity to localize TMS targets individually. ResultsWe found an enhanced sgACC-DLPFC FC in MDD patients compared to healthy controls (HC). Such group differences altered the position of the sgACC anti-correlation peak in the left DLPFC. In two independent clinical samples, we showed that the magnitude of TMS targets case-control differences in sgACC FC was related to clinical improvement. The MDD big data-guided individualized TMS targeting algorithm may generate individualized TMS targets that are clinically superior to group-level targets. InterpretationWe reliably delineated MDD-related abnormalities of sgACC-FC profiles in a large, independently ascertained sample and demonstrated the potential impact of such case-control differences on FC-guided localization of TMS targets. FundingMinistry of Science and Technology of the Peoples Republic of China, National Natural Science Foundation of China, and Chinese Academy of Sciences

neuroscience↗

bioRxiv2023

Requirement of GrgA for Chlamydia infectious progeny production

Hallmarks of the developmental cycle of the obligate intracellular pathogenic bacterium Chlamydia are the primary differentiation of the infectious elementary body (EB) cell type into the proliferative reticulate body (RB) and the secondary differentiation of RBs back into EBs. The detailed mechanisms regulating these transitions are unclear. In this study, we developed a novel strategy termed DOPE (dependence on plasmid-mediated expression) that allows for the knockdown of essential genes in Chlamydia. Importantly, we demonstrate that GrgA, a Chlamydia-specific transcription factor, is essential for the secondary differentiation of RBs into EBs. Our development of a conditional GrgA-deficient chlamydiae should prove valuable for future studies examining chlamydial growth, development, and pathogenicity. Furthermore, because EB formation is absolutely required for chlamydial dissemination within infected individuals, and for chlamydial transmission to new hosts, our maturation-defective chlamydiae system may serve as an attractive attenuated vaccine methodology for the prevention of chlamydial diseases.

microbiology↗

bioRxiv2022

Assigning functionality to cysteines by base editing of cancer dependency genes

Chemical probes are lacking for most human proteins. Covalent chemistry represents an attractive strategy for expanding the ligandability of the proteome, and chemical proteomics has revealed numerous electrophile-reactive cysteines on diverse proteins. Determining which of these covalent binding events impact protein function, however, remains challenging. Here, we describe a base-editing strategy to infer the functionality of cysteines by quantifying the impact of their missense mutation on cell proliferation. We show that the resulting atlas, which covers >13,800 cysteines on >1,750 cancer dependency proteins, correctly predicts the essentiality of cysteines targeted by cancer therapeutics and, when integrated with chemical proteomic data, identifies essential, ligandable cysteines on >110 cancer dependency proteins. We further demonstrate how measurements of reactivity in native versus denatured proteomes can discriminate essential cysteines amenable to chemical modification from those buried in protein structures, providing a valuable resource to prioritize the pursuit of small-molecule probes with high function-perturbing potential.

systems biology↗

bioRxiv2022

Quantitative profiling of pseudouridylation landscape in the human transcriptome

Pseudouridine ({Psi}) is an abundant post-transcriptional RNA modification in ncRNA and mRNA. However, transcriptome-wide measurement of individual {Psi} sites remains unaddressed. Here, we develop "PRAISE", via selective chemical labeling of {Psi} by bisulfite to induce nucleotide deletion signature during reverse transcription, to realize quantitative assessment of the {Psi} landscape in the human transcriptome. Unlike traditional RNA/DNA bisulfite treatment, our approach is based on quaternary base mapping and revealed a ~10% median modification level for 2,714 confident {Psi} sites in HEK293T cells. By perturbing pseudouridine synthases, we obtained differential mRNA targets of PUS1, PUS7 and TRUB1, with TRUB1 mRNA targets showing the highest modification stoichiometry. In addition, we identified and quantified known and novel {Psi} sites in mitochondrial mRNA, catalyzed by a mitochondria-localized isoform of PUS1. Collectively, we provide a sensitive and convenient method to measure transcriptome-wide {Psi}; we envision this quantitative approach would facilitate emerging efforts to elucidate the function and mechanism of mRNA pseudouridylation.

molecular biology↗

bioRxiv2022

Microbiota-stimulated Interleukin-22 regulates brain neurons and protects against stress-induced anxiety

Psychological stress and its sequelae are a major public health problem. While the immune system has been implicated in the development of stress-related disorders, how the immune signals modulate neural responses to stress is poorly understood. Contrary to our expectations, we found that the immune cytokine Interleukin (IL)-22 is the key mediator of an immune-to-brain pathway that diminishes, rather than amplifies, stress-induced anxiety. We showed that stress induced TH17 differentiation and IL-22 production in the intestine following barrier dysfunction and microbiota stimulation. IL-22 then directly signaled to septal neurons in the brain to mitigate anxiety-like behavior. Accordingly, mice treated with exogenous IL-22 showed resilience to chronic stress-induced anxiety disorders. Our study thus reveals a previously-unappreciated immune-to-brain axis that defends against psychological stress, suggesting a potential intervention strategy for stress-related mental diseases.

immunology↗

bioRxiv2022

Tumor suppressor p53 deficiency increases tumor immunogenicity through promoting IL33-mediated anti-tumor immune responses

Recent studies have shown that p53 contributes to poor survival during immune checkpoint blockade (ICB) therapy. Lung cancer patients with p53 mutations have significantly improved response rates to PD-1 ICB therapy. While previous studies have shown that tumor-derived IL-33 is required for the anti-tumor immune response and efficacy of ICB therapies, the relationship between p53 and IL-33 during ICB therapy is unknown. In this study, we characterized the role of the p53/IL-33 axis in regulating the tumor microenvironment (TME) in response to ICB therapy. CRISPR-Cas9-mediated deletion of Trp53 in tumor cells combined with PD-1 ICB therapy synergistically inhibited tumor growth in a murine MC38 colon adenocarcinoma model. We observed increased CD4+ and CD8+ T cell infiltration, as well as reduced Treg infiltration. IL-33 was upregulated and its expression increased with time and response to treatment. Simultaneous deletion of Il33 in the MC38 tumor cells reversed the efficacy of PD-1 ICB therapy. ST2-/-(IL-33 receptor) mice with Trp53-deficient MC38 tumors also showed no response to PD-1 ICB. Our findings depict a novel mechanism by which the loss of p53 in tumors treated with ICB therapy induces upregulation of tumoral IL-33 and host ST2 signaling. p53 mutations may be a double-edged sword for cancer, i.e. loss of the tumor suppressor initially facilitates tumorigenesis, but also leads to upregulation of danger signals in the tumor. These danger signals, such as IL-33, mediate the anti-tumor effect of ICB.

immunology↗

bioRxiv2022

A 4-bp natural deletion of maize Na+/H+ exchanger gene alters maize salt stress tolerance

Soil salinity is a major environmental constraint severely reducing plant growth and crop productivity worldwide. Knowledge of salt tolerance-related genes can facilitate improving crop salt tolerance and alleviating the threat of increasing saline area to world food security. Here, we identified a major locus SALT TOLERANCE 1 (qST1) conferring maize salt tolerance via bulked segregant RNA-Seq (BSR-Seq). qST1 encodes a plasma membrane Na+/H+ exchanger ZmSOS1 which is the ortholog of Arabidopsis thaliana SOS1 gene. In salt-sensitive variety D9H, the natural variation of 4-bp deletion in the coding sequence of ZmSOS1 gene was the causal allele for salt sensitivity. We identified two ethyl methanesulfonate-induced mutants, zmsos1-1 and zmsos1-2, which were sensitive to salt stress and cant complement salt-sensitive variety under salt stress within an allelism test. Overexpression of ZmSOS1 enhanced maize seedling salt tolerance. ZmSOS1 can increase the salt tolerance of Arabidopsis sos1-1 mutant and can be activated by AtSOS2 and AtSOS3 in yeast cells, suggesting that ZmSOS1 confers salt tolerance through the conserved SOS signaling pathway in maize. The detrimental allele harboring the 4-bp deletion was rarely found in the natural population but appeared in an important heterotic group composed of x1132x-derived inbred lines which have been used widely for breeding dozens of hybrid varieties in China. The 4-bp deletion-based molecular marker has been successfully used to improve salt-sensitive varieties in a backcross and marker-assisted breeding program by screening and purging this deleterious allele.

plant biology↗

bioRxiv2022

Experimental evolution in TP53 deficient gastric organoids recapitulates tumorigenesis

The earliest events during human tumor initiation, while poorly characterized, may hold clues to malignancy detection and prevention1. Here we model occult pre-neoplasia by bi-allelically inactivating TP53, a common early event in gastric cancer, in human gastric organoids. Causal relationships between this initiating genetic lesion and resulting phenotypes were established using experimental evolution in multiple clonally derived cultures over two years. TP53 loss elicited progressive aneuploidy, including copy number alterations and structural variants prevalent in gastric cancers, with evident preferred orders. Longitudinal single cell sequencing of TP53 deficient gastric organoids similarly indicates progression towards malignant transcriptional programs. Moreover, high-throughput lineage tracing with expressed cellular barcodes demonstrates reproducible dynamics whereby initially rare subclones with shared transcriptional programs repeatedly attain clonal dominance. This powerful platform for experimental evolution exposes stringent selection, clonal interference, and a striking degree of phenotypic convergence in pre-malignant epithelial organoids. These data imply predictability in the earliest stages of tumorigenesis and reveal evolutionary constraints and barriers to malignant transformation with implications for earlier detection and interception of aggressive, genome instable tumors.

cancer biology↗

bioRxiv2022

CNETML: Maximum likelihood inference of phylogeny from copy number profiles of spatio-temporal samples

Phylogenetic trees based on copy number alterations (CNAs) for multi-region samples of a single cancer patient are helpful to understand the spatio-temporal evolution of cancers, especially in tumours driven by chromosomal instability. Due to the high cost of deep sequencing data, low-coverage data are more accessible in practice, which only allow the calling of (relative) total copy numbers due to the lower resolution. However, methods to reconstruct sample phylogenies from CNAs often use allele-specific copy numbers and those using total copy number are mostly distance matrix or maximum parsimony methods which do not handle temporal data or estimate mutation rates. In this work, we developed a new maximum likelihood method based on a novel evolutionary model of CNAs, CNETML, to infer phylogenies from spatio-temporal samples taken within a single patient. CNETML is the first program to jointly infer the tree topology, node ages, and mutation rates from total copy numbers when samples were taken at different time points. Our extensive simulations suggest CNETML performed well even on relative copy numbers with subclonal whole genome doubling events and under slight violation of model assumptions. The application of CNETML to real data from Barretts esophagus patients also generated consistent results with previous discoveries and novel early CNAs for further investigations.

bioinformatics↗

bioRxiv2022

Interactions of C. elegans -tubulins with the microtubule inhibitor albendazole

Parasitic nematodes are major human and agricultural pests, and benzimidazoles are amongst the most important broad spectrum anthelmintic drug class used for their control. Benzimidazole resistance is now widespread in many species of parasitic nematodes in livestock globally and an emerging concern for the sustainable control of human soil transmitted helminths. {beta}-tubulin is the major benzimidazole target, although other genes may influence resistance. Among the six C. elegans {beta}-tubulin genes, loss of ben-1 causes resistance without other apparent defects. Here, we explored the genetics of C. elegans {beta}-tubulin genes in relation to the response to the benzimidazole derivative albendazole. The most highly expressed {beta}-tubulin isotypes, encoded by tbb-1 and tbb-2, were known to be redundant with each other for viability, and their products are predicted not to bind benzimidazoles. We found that tbb-2 mutants, and to a lesser extent tbb-1 mutants, were hypersensitive to albendazole. The double mutant tbb-2 ben-1 is uncoordinated and dumpy, resembling the wild type exposed to albendazole, but the tbb-1 ben-1 double mutant did not show the same phenotype. These results suggest that tbb-2 is a modifier of ABZ sensitivity. To better understand how BEN-1 mutates to cause benzimidazole resistance, we isolated mutants resistant to albendazole and found that 15 of 16 mutations occurred in ben-1. Mutations ranged from likely nulls to hypomorphs, and several corresponded to residues that cause resistance in other organisms. Null alleles of ben-1 are albendazole-resistant and BEN-1 shows high sequence identity with tubulins from other organisms, suggesting that many amino acid changes could cause resistance. However, our results suggest that missense mutations conferring resistance are not evenly distributed across all possible conserved sites. Independent of their roles in benzimidazole resistance, tbb-1 and tbb-2 may have specialized functions as null mutants of tbb-1 or tbb-2 were cold or heat sensitive, respectively.

genetics↗

bioRxiv2022

Neural Representations of Self-Generated Thought during Think-aloud fMRI

Is the brain at rest during the so-called resting-state? Ongoing experiences in the resting-state vary in unobserved and uncontrolled ways across time, individuals, and populations. However, the role of self-generated thoughts in resting-state fMRI remains largely unexplored. In this study, we collected real-time self-generated thoughts during "resting-state" fMRI scans via the think-aloud method (i.e., think-aloud fMRI), which required participants to report whatever they were currently thinking. We first investigated brain activation patterns during a think-aloud condition and found that significantly activated brain areas included all brain regions required for speech. We then calculated the relationship between divergence in thought content and brain activation during think-aloud and found that divergence in thought content was associated with many brain regions. Finally, we explored the neural representation of self-generated thoughts by performing representational similarity analysis (RSA) at three neural scales: a voxel-wise whole-brain searchlight level; a region-level whole-brain analysis using the Schaefer 400-parcels; at the systems level using the Yeo seven-networks. We found that "resting-state" self-generated thoughts were distributed across a wide range of brain regions, involving all seven Yeo networks. This study highlights the value of considering ongoing experiences during resting-state fMRI, as well as providing preliminary methodological support for think-aloud fMRI.

neuroscience↗