Cover Image

The stability and instability of the language control network: a longitudinal resting-state functional magnetic resonance imaging study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zilong, Liu, Cong, Pan, Xin, Ding, Guosheng, Wang, Ruiming
Format:	Preprint
Published:	2024
Subjects:	Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

State-transition dynamics of resting-state functional magnetic resonance imaging data: Model comparison and test-to-retest analysis
by: Islam, Saiful, et al.
Published: (2023)

Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data
by: Luo, Yiqian, et al.
Published: (2024)

Cost efficiency of fMRI studies using resting-state vs task-based functional connectivity
by: Zhang, Xinzhi, et al.
Published: (2024)

A quality control analysis of the resting state hypothesis via permutation entropy on EEG recordings
by: Perinelli, Alessio, et al.
Published: (2024)

Non-linear associations of amyloid-$β$ with resting-state functional networks and their cognitive relevance in a large community-based cohort of cognitively normal older adults
by: Wu, Junjie, et al.
Published: (2025)

Coevolutionary balance of resting-state brain networks in autism
by: Afshar, S. Rezaei, et al.
Published: (2025)

Graph-based vulnerability assessment of resting-state functional brain networks in full-term neonates
by: Fouladivanda, Mahshid, et al.
Published: (2024)

Topological data analysis suggests human brain networks reconfiguration in the transition from a resting state to cognitive load
by: Ernston, Ilya, et al.
Published: (2023)

Reliability of energy landscape analysis of resting-state functional MRI data
by: Khanra, Pitambar, et al.
Published: (2023)

Functional voxel hierarchy and afferent capacity revealed mental state transition on dynamic correlation resting-state fMRI
by: Lee, Dong Soo, et al.
Published: (2024)

Investigating cerebral anomalies in preterm infants and associated risk factors with magnetic resonance imaging at term-equivalent age
by: Elbaz, Nicolas, et al.
Published: (2026)

Estimating measures of information processing during cognitive tasks using functional magnetic resonance imaging
by: Gohil, Chetan, et al.
Published: (2026)

Brain-inspired, interpretable, resonant recurrent neural networks
by: Kramer, Mark A.
Published: (2025)

Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasks
by: Roffet, Facundo, et al.
Published: (2024)

Unifying equivalences across unsupervised learning, network science, and imaging/network neuroscience
by: Rubinov, Mika
Published: (2025)

Predictive and feedback signals differently shape the formation of group-level and individualized language representations
by: Yang, Shuguang, et al.
Published: (2026)

Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review
by: Chan, Yi Hao, et al.
Published: (2024)

Altered oscillatory brain networks during emotional face processing in ADHD: an eLORETA and functional ICA study
by: Vosough, Saghar, et al.
Published: (2025)

Brains and language models converge on a shared conceptual space across different languages
by: Zada, Zaid, et al.
Published: (2025)

Cortical thickness and functional networks modules by cortical lobes
by: Vuksanović, Vesna
Published: (2019)

Introducing the modularity graph: an application to brain functional networks
by: Cattai, Tiziana, et al.
Published: (2024)

Fibration symmetry-breaking supports functional transitions in a brain network engaged in language
by: Gili, Tommaso, et al.
Published: (2024)

Precision microfluidic control of neuronal ensembles in cultured cortical networks
by: Murota, Hakuba, et al.
Published: (2024)

Directional intermodular coupling enriches functional complexity in biological neuronal networks
by: Monma, Nobuaki, et al.
Published: (2024)

Learning sequence timing and control of replay speed in networks of spiking neurons
by: Lober, Melissa, et al.
Published: (2026)

Reliability and predictability of phenotype information from functional connectivity in large imaging datasets
by: Dafflon, Jessica, et al.
Published: (2024)

Habit learning is associated with efficiently controlled network dynamics in naive macaque monkeys
by: Brynildsen, Julia K., et al.
Published: (2025)

Astrocyte control bursting mode of spiking neuron network with memristor-implemented plasticity
by: Stasenko, Sergey V., et al.
Published: (2023)

Embodiment in multimodal large language models
by: Kadambi, Akila, et al.
Published: (2025)

Network structural change point detection and reconstruction for balanced neuronal networks
by: Chen, Kai, et al.
Published: (2025)

Hierarchical Bayesian inference for community detection and connectivity of functional brain networks
by: Bian, Lingbin, et al.
Published: (2023)

Multifaceted neural representation of words in naturalistic language
by: Yang, Xuan, et al.
Published: (2026)

Language modulates vision: Evidence from neural networks and human brain-lesion models
by: Chen, Haoyang, et al.
Published: (2025)

The Homological Brain: Parity Principle and Amortized Inference
by: Li, Xin
Published: (2025)

The Geometry of Certainty: Recursive Topological Condensation and the Limits of Inference
by: Li, Xin
Published: (2025)

Metric-Topology Factorization: A Computational Framework for Hippocampal-Neocortical Intelligence
by: Li, Xin
Published: (2026)

On the Arrow of Inference
by: Li, Xin
Published: (2024)

Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
by: Wang, Christopher, et al.
Published: (2024)

How does the inner retinal network shape the ganglion cells receptive field : a computational study
by: Kartsaki, Evgenia, et al.
Published: (2024)

Constructing a bridge between functioning of oscillatory neuronal networks and quantum-like cognition along with quantum-inspired computation and AI
by: Khrennikov, Andrei, et al.
Published: (2025)