Dynamical insights from a heterogeneous whole-brain model of pre vs. post visual-motor task

Africa EK, van Deventer KJ (2017) A motor-skills programme to enhance visual motor integration of selected pre-school learners. Early Child Dev Care 187:1960–1970. https://doi.org/10.1080/03004430.2016.1201478

Article  Google Scholar 

Al Harrach M, Dauly G, Seyedeh-Mousavi H et al (2023) Improving fast ripples recording with model-guided design of microelectrodes. IEEE Trans Biomed Eng 70:2496–2505

Article  CAS  PubMed  Google Scholar 

Albert NB, Robertson EM, Miall RC (2009) The resting human brain and motor learning. Curr Biol 19:1023–1027. https://doi.org/10.1016/j.cub.2009.04.028

Article  CAS  PubMed  PubMed Central  Google Scholar 

Albouy G, Vandewalle G, Sterpenich V et al (2013) Sleep stabilizes visuomotor adaptation memory: a functional magnetic resonance imaging study. J Sleep Res 22:144–154. https://doi.org/10.1111/j.1365-2869.2012.01059.x

Article  PubMed  Google Scholar 

Bhatia A, Moza S, Bhalla US (2019) Precise excitation-inhibition balance controls gain and timing in the hippocampus. Elife 8:e43415. https://doi.org/10.7554/eLife.43415

Article  PubMed  PubMed Central  Google Scholar 

Breakspear M (2017) Dynamic models of large-scale brain activity. Nat Neurosci 20:340–352. https://doi.org/10.1038/nn.4497

Article  CAS  PubMed  Google Scholar 

Brodmann, K. (1909). Vergleichende Lokalisationslehre der Grosshirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues, Barth.

Bueichekú E, Miró-Padilla A, Ávila C (2019) Resting-state fMRI detects the effects of learning in short term: a visual search training study. Hum Brain Mapp 40:2787–2799. https://doi.org/10.1002/hbm.24560

Article  PubMed  PubMed Central  Google Scholar 

Cabral J, Kringelbach ML, Deco G (2017) Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: models and mechanisms. Neuroimage 160:84–96. https://doi.org/10.1016/j.neuroimage.2017.03.045

Article  PubMed  Google Scholar 

Coleman SC, Seedat ZA, Whittaker AC et al (2023) Beyond the beta rebound: post-task responses in oscillatory activity follow cessation of working memory processes. Neuroimage 265:119801. https://doi.org/10.1016/j.neuroimage.2022.119801

Article  PubMed  Google Scholar 

Corbetta M, Shulman GL (2002) Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci 3:201–215. https://doi.org/10.1038/nrn755

Article  CAS  PubMed  Google Scholar 

Cousijn J, Zanolie K, Munsters RJ et al (2014) The relation between resting state connectivity and creativity in adolescents before and after training. PLoS ONE 9:e105780. https://doi.org/10.1371/journal.pone.0105780

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cui D, Li X, Ji X et al (2011) Multi-channel neural mass modelling and analyzing. Sci China Inf Sci 54:1283–1292

Article  Google Scholar 

Dankert HL, Davies PL, Gavin WJ (2003) Occupational therapy effects on visual-motor skills in preschool children. Am J Occup Ther 57:542–549. https://doi.org/10.5014/ajot.57.5.542

Article  PubMed  Google Scholar 

Demont-Guignard S, Benquet P, Gerber U et al (2009) Analysis of intracerebral EEG recordings of epileptic spikes: insights from a neural network model. IEEE Trans Biomed Eng 56:2782–2795. https://doi.org/10.1109/TBME.2009.2028015

Article  PubMed  PubMed Central  Google Scholar 

Denève S, Machens CK (2016) Efficient codes and balanced networks. Nat Neurosci 19:375–382. https://doi.org/10.1038/nn.4243

Article  CAS  PubMed  Google Scholar 

Deschle N, Gossn JI, Tewarie P et al (2021) On the validity of neural mass models. Front Comput Neurosci 14:581040. https://doi.org/10.3389/fncom.2020.581040

Article  PubMed  PubMed Central  Google Scholar 

Desikan RS, Ségonne F, Fischl B et al (2006) An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31:968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021

Article  PubMed  Google Scholar 

Dzianok P, Wojciechowski J, Wolak T et al (2025) Alzheimer’s disease-like features in resting state EEG/fMRI of cognitively intact and healthy middle-aged APOE/PICALM risk carriers. J Alzheimers Dis 104:509–524. https://doi.org/10.1177/13872877251317489

Article  PubMed  PubMed Central  Google Scholar 

Fernández-Seara MA, Aznárez-Sanado M, Mengual E et al (2009) Continuous performance of a novel motor sequence leads to highly correlated striatal and hippocampal perfusion increases. Neuroimage 47:1797–1808. https://doi.org/10.1016/j.neuroimage.2009.05.061

Article  PubMed  Google Scholar 

Friston KJ, Mechelli A, Turner R et al (2000) Nonlinear responses in fMRI: the balloon model, volterra kernels, and other hemodynamics. Neuroimage 12:466–477. https://doi.org/10.1006/nimg.2000.0630

Article  CAS  PubMed  Google Scholar 

Gratton G (2018) Brain reflections: a circuit-based framework for understanding information processing and cognitive control. Psychophysiology 55:e13038. https://doi.org/10.1111/psyp.13038

Article  Google Scholar 

Gu Y, Han F, Sainburg LE et al (2022) An orderly sequence of autonomic and neural events at transient arousal changes. Neuroimage 264:119720. https://doi.org/10.1016/j.neuroimage.2022.119720

Article  PubMed  Google Scholar 

Gu Y, Han F, Sainburg LE et al (2023a) Simultaneous EEG and fMRI signals during sleep from humans. OpenNeuro. https://doi.org/10.18112/openneuro.ds003768.v1.0.11

Gu Y, Sainburg LE, Han F et al (2023b) Simultaneous EEG and functional MRI data during rest and sleep from humans. Data Brief 48:109059. https://doi.org/10.1016/j.dib.2023.109059

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hagmann P, Cammoun L, Gigandet X et al (2008) Mapping the structural core of human cerebral cortex. PLoS Biol 6:e159. https://doi.org/10.1371/journal.pbio.0060159

Article  CAS  PubMed  PubMed Central  Google Scholar 

Han K, Lee M, Lim H-K et al (2020) Excitation-inhibition imbalance leads to alteration of neuronal coherence and neurovascular coupling under acute stress. J Exp Neurosci 40:9148–9162. https://doi.org/10.1523/jneurosci.1553-20.2020

Article  CAS  Google Scholar 

Handiru VS, Alivar A, Hoxha A et al. (2020) Graph-theoretical Analysis of EEG Functional Connectivity during Balance Perturbation in Traumatic Brain Injury. bioRxiv:2020.2010. 2008.332353.

Harita S, Momi M, Wang et al. (2024) The role of inhibition in resting-state fMRI negative correlations. bioRxiv:2024.2003. 2001.583030.

Hata M, Miyazaki Y, Mori K et al (2025) Screening of Aβ and phosphorylated tau status in the cerebrospinal fluid through machine learning analysis of portable electroencephalography data. Sci Rep 15:2067. https://doi.org/10.1038/s41598-025-86449-2

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hrybouski S, Das SR, Xie L et al (2025) BOLD amplitude correlates of preclinical Alzheimer’s disease. Neurobiol Aging 150:157–171. https://doi.org/10.1016/j.neurobiolaging.2025.03.007

Article  CAS  PubMed  Google Scholar 

Hu B, Yan L-F, Sun Q et al (2019) Disturbed neurovascular coupling in type 2 diabetes mellitus patients: evidence from a comprehensive fMRI analysis. NeuroImage: Clinical 22:101802. https://doi.org/10.1016/j.nicl.2019.101802

Article  PubMed  Google Scholar 

Iandolo G, Chourasia N, Ntolkeras G et al (2021) Changes in the functional brain network of children undergoing repeated epilepsy surgery: an EEG source connectivity study. Diagnostics 11:1234

Article  PubMed  PubMed Central  Google Scholar 

Idesis S, Allegra M, Vohryzek J et al (2024) Generative whole-brain dynamics models from healthy subjects predict functional alterations in stroke at the level of individual patients. Brain Commun 6:fcae237

Article 

Comments (0)

No login
gif