NaDyNet: A Toolbox for Dynamic Network Analysis of Naturalistic Stimuli

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121203 - 121203

Published: April 1, 2025

Experiments with naturalistic stimuli (e.g., listening to stories or watching movies) are emerging paradigms in brain function research. The content of is rich and continuous. fMRI signals complex include different components. A major challenge isolate the stimuli-induced while simultaneously tracking brain's responses these real-time. To this end, we have developed a user-friendly graphical interface toolbox called NaDyNet (Naturalistic Dynamic Network Toolbox), which integrates existing dynamic network analysis methods their improved versions. main features are: 1) extracting interest from signals; 2) incorporating six commonly used three static methods; 3) versions by adopting inter-subject eliminate effects non-interest 4) performing K-means clustering identify temporally reoccurring states along temporal spatial attributes; 5) Visualization spatiotemporal results. We then introduced rationale for improve presented examples analyzing data. hope that will promote development neuroscience. available at https://github.com/yuanbinke/Naturalistic-Dynamic-Network-Toolbox.

Language: Английский

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Crosstalk between the gut microbiota and brain network topology in poststroke aphasia patients: perspectives from neuroimaging findings

Therapeutic Advances in Neurological Disorders, Journal Year: 2025, Volume and Issue: 18

Published: Jan. 1, 2025

Background: Emerging evidence indicates that gut inflammatory and immune response play a key role in the pathophysiology of stroke may become promising therapeutic target. However, specific microbiota-gut-brain axis poststroke aphasia (PSA) patients remains unclear. Objectives: The aim this study was to investigate relationships among microbiota, neuroendocrine-immune network, brain network properties, language function with PSA. Design: This is cross-sectional, observational, monocentric study. Methods: enrolled 15 PSA patients, 10 non-PSA healthy controls (HCs). All subjects underwent stool microbiota analysis, blood cytokines assessment, brain-gut peptide examination. HCs additional resting-state functional MRI (rs-fMRI) scans. rs-fMRI data were utilized create whole-brain connectivity maps, graph theory employed characterize topological properties. Analysis variance Kruskal–Wallis test used for comparisons three groups. Correlation analyses subsequently conducted explore factors showing significant group differences. Results: Compared HCs, displayed alterations composition, increased systemic inflammation, changes peptides, had worse performance. Graph theoretical analysis revealed exhibited small-world topology. Furthermore, nodal measures showed activation homologous speech areas right hemisphere, while properties regions near lesion left hemisphere decreased compared HCs. Conclusion: present revealed, first time, an imbalance accompanied by disorder abnormal patients.

Language: Английский

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Inter-subject dynamic conditional correlation: A novel method to track the framewise network implication during naturalistic stimuli

Brain Connectivity, Journal Year: 2024, Volume and Issue: 14(9), P. 471 - 488

Published: Sept. 20, 2024

Naturalistic stimuli have become increasingly popular in modern cognitive neuroscience. These high ecological validity due to their rich and multilayered features. However, complexity also presents methodological challenges for uncovering neural network reconfiguration. Dynamic functional connectivity using the sliding-window technique is commonly used but has several limitations. In this study, we introduce a new method called intersubject dynamic conditional correlation (ISDCC).

Language: Английский

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A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: May 15, 2024

Here we presented an electrophysiological dataset collected from layer V of the primary motor cortex (M1) and corresponding behavior normal hemi-parkinson rats over 5 consecutive weeks. The was constituted by raw wideband signal, neuronal spikes, local field potential (LFP) signal. open-field test done recorded to evaluate variation among entire experimental cycle. We conducted technical validation this through sorting spike data form action waveforms analyzing spectral power LFP data, then based on these findings a closed-loop DBS protocol developed oscillation activity response M1 Additionally, applied rat for five days while simultaneously recording data. This is currently only publicly available that includes longitudinal recordings, which can be utilized investigate variations within following long-term DBS, explore additional reliable biomarkers.

Language: Английский

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Unveiling the neuroplastic capacity of the bilingual brain: insights from healthy and pathological individuals

Brain Structure and Function, Journal Year: 2024, Volume and Issue: 229(9), P. 2187 - 2205

Published: Sept. 18, 2024

Abstract Research on the neural imprint of dual-language experience, crucial for understanding how brain processes dominant and non-dominant languages, remains inconclusive. Conflicting evidence suggests either similarity or distinction in processing, with implications bilingual patients tumors. Preserving functions after surgery requires considering pre-diagnosis neuroplastic changes. Here, we combine univariate multivariate fMRI methodologies to test a group healthy Spanish-Basque bilinguals gliomas affecting language-dominant hemisphere while they overtly produced sentences their language. Findings from participants revealed presence shared system both also identifying regions distinct language-dependent activation lateralization patterns. Specifically, language engaged more left-lateralized network, speech production relied recruitment bilateral basal ganglia-thalamo-cortical circuit. Notably, based patterns, were able robustly decode (AUC: 0.80 ± 0.18) being used. Conversely, exhibited patterns languages. For language, such as cerebellum, thalamus, caudate acted concert sparsely activated language-specific nodes. In case default mode network was notably prominent. These results demonstrate compensatory engagement non-language-specific networks preservation production, even face pathological conditions. Overall, our findings underscore pervasive impact experience functional (re)organization, health disease.

Language: Английский

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Unveiling the neuroplastic capacity of the bilingual brain: Insights from healthy and pathological individuals

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 8, 2024

Research on the neural imprint of dual-language experience, crucial for understanding how brain processes first (L1) and second language (L2), remains inconclusive. Conflicting evidence suggests either similarity or distinction in processing, with implications bilingual patients tumors. Preserving functions after surgery requires considering pre-diagnosis neuroplastic changes. Here, we combine univariate multivariate fMRI methodologies to test a group healthy Spanish-Basque bilinguals gliomas affecting language-dominant hemisphere while they overtly produced sentences their L1 L2. Findings from participants revealed presence shared system L2, also identifying regions distinct language-dependent activation lateralization patterns. Specifically, engaged more left-lateralized network, L2 production relied recruitment bilateral basal ganglia-thalamo-cortical circuit. Notably, based patterns, were able robustly decode (AUC: 0.86 ± 0.18) being used. Conversely, exhibited patterns both For L1, such as cerebellum, thalamus, caudate acted concert sparsely activated language-specific nodes. In case default mode network was notably prominent. These results demonstrate compensatory engagement non-language-specific networks preservation speech production, even face pathological conditions. Overall, our findings underscore pervasive impact experience functional (re)organization, health disease.

Language: Английский

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How do we imagine a speech? A triple network model for situationally simulated inner speech

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 22, 2024

Abstract Inner speech is a silent verbal experience and plays central roles in human consciousness cognition. Despite impressive studies over the past decades, neural mechanisms of inner remain largely unknown. In this study, we adopted an ecological paradigm called situationally simulated speech. Unlike mere imaging words, involves dynamic integration contextual background, episodic semantic memories, external events into coherent structure. We conducted activation network analyses on fMRI data, where participants were instructed to engage prompted by cue words across 10 different backgrounds. Our seed-based co-activation pattern revealed involvement language network, sensorimotor default mode Additionally, frame-wise conditional correlation analysis uncovered four temporal-reoccurring states with distinct functional connectivity patterns among these networks. proposed triple model for deliberate speech, including truncated form overt perceptual simulation monitoring, ‘sense-making’ processing. Highlights ten backgrounds, subjects perform based words. The ventral parts bilateral somatosensory areas middle superior temporal gyrus as centers analyses. A was

Language: Английский

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The connectional diaschisis and normalization of cortical language network dynamics after basal ganglia and thalamus stroke

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Abstract Stroke affecting the basal ganglia and thalamus can lead to language deficits. In addition lesion’s direct impact on processing, connectional diaschisis involving cortical-subcortical interactions also plays a critical role. This study investigated using “dynamic meta-networking framework of language” in patients with stroke, analyzing longitudinal resting-state fMRI data collected at 2 weeks (n = 32), 3 months 19), one year post-stroke 23). As expected, we observed dynamic cortico-subcortical between cortical regions subcortical healthy controls (HC, n 25). The network exhibited domain-segregation patterns HCs, severely disrupted acute phase following stroke. manifested as dual effects characterized by both hypo- hyper-connectivity, which positively negatively correlated deficits, respectively. State-specific changes nodal topological properties were identified. Throughout recovery, dynamics gradually normalized toward sub-optimal patterns, accompanied normalization properties. These findings underscore crucial role processing.

Language: Английский

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The aberrant language network dynamics in autism ages 5-40 years

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

Abstract Background Language impairments, which affect both structural aspects of language and pragmatic use, are frequently observed in autism spectrum disorder (ASD). These impairments often associated with atypical brain development unusual network interaction patterns. However, a neurological framework remains elusive to explain them. Methods In this study, we utilized the dynamic "meta-networking" language—a theoretical model that describes domain-segregation dynamics during resting states—to investigate cortical abnormalities ASD aged 5–40 years. Results Our findings revealed distinct developmental trajectories for three domain-specific subnetworks ASD, characterized by unique patterns hypo-and hyper-connectivity vary age. Notably, these proved be strong predictors verbal Intelligence Quotient communication deficits, though they did not predict social abilities or stereotypical behaviors. Limitations Due limited availability linguistic data, our study was unable assess deficit profiles individuals ASD. Conclusions Collectively, refined understanding mechanisms deficits

Language: Английский

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NaDyNet: A Toolbox for Dynamic Network Analysis of Naturalistic Stimuli

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 30, 2024

Experiments with naturalistic stimuli (e.g., listening to stories or watching movies) are emerging paradigms in brain function research. The content of is rich and continuous. fMRI signals complex include different components. A major challenge isolate the stimuli-induced while simultaneously tracking brain's responses these real-time. To this end, we have developed a user-friendly graphical interface toolbox called NaDyNet (Naturalistic Dynamic Network Toolbox), which integrates existing dynamic network analysis methods their enhanced versions. main features are: 1) extracting interest from signals; 2) incorporating six commonly used three static methods; 3) versions by adopting inter-subject eliminate effects non-interest 4) performing K-means clustering identify temporally reoccurring states along temporal spatial attributes. We then introduced rationale for improve methods, presented numerous examples. also summarized research progress comparing methodological efficacy, offered our recommendations method selection analysis, discussed limitations current approaches directions future hope that open source will promote development neuroscience. available at https://github.com/yuanbinke/Naturalistic-Dynamic-Network-Toolbox.

Language: Английский

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