Virtual digital brain News

VDB2.0 release

Guang-Yu Zhang — Wed, 01 Feb 2023 3:45:05 GMT

We have improved the procedure and have added some functions，such as the functional complexity of brain region (including functional complexity based on Shannon theory, functional complexity based on Pearson’s correlation coefficient, functional complexity based on Permutation entropy, etc.), the information interaction efficiency of brain region, functional connectivity strength of the brain region, in the software package VDBV2.0. Several bugs on entropy connectivity in VDBV1.9 have been modified, and this version is more convenient for constructing and displaying task signals (i.e. designing fMRI experimental paradigms).

Virtual digital brain VDB1.9 released

Guang-Yu Zhang — Wed, 11 May 2022 1:02:25 GMT

We have improved the procedure and have added some functions，such as functional complexity of the brain region, information processing efficiency of the brain region, neural activity strength of the brain region, in the software package VDBV1.9. Several bugs have been modified, and this version is more convenient for constructing and displaying task signals (i.e. designing fMRI experimental paradigms).

Virtual digital brain VDB1.8 released

Guang-Yu Zhang — Tue, 21 Sep 2021 1:47:42 GMT

We have improved the procedure and have added some functions in the software package VDBV1.8. You can download freely the virtual digital brain software package VDB1.8 (https://www.nitrc.org/projects/vdb/).

Virtual digital brain VDB1.8 released

Guang-Yu Zhang — Tue, 21 Sep 2021 4:38:12 GMT

We have improved the procedure and have added some functions in the software package VDBV1.8.

Virtual digital brain VDB1.7 released

Guang-Yu Zhang — Tue, 20 Apr 2021 5:59:20 GMT

We have improved the VDB soft in the software package VDBV1.7. Several bugs have been modified, and this version is more convenient for performing ‘preprocessing, causal connectivity, statistical analysis, and result display’. In addition, we have added several functions including resting-state information processing speed of brain region and neural activity strength of brain region.

VDB1.6_Windows64bits released

Guang-Yu Zhang — Wed, 26 Feb 2020 3:08:37 GMT

We have improved the definition of the shortest causal connectivity path and multiple comparison correction in the software package VDBV1.6.

VDBV1.5_Windows64bits

Guang-Yu Zhang — Mon, 01 Jul 2019 1:48:56 GMT

This software can be run in a 64-bit version of Windows. Several bugs have been modified in this version.

VDBV1.5 released

Guang-Yu Zhang — Tue, 07 May 2019 12:43:24 GMT

We have improved the procedure “TaskDesign” and some functions in the software package VDBV1.5. Several bugs have been modified, and this version is more convenient for constructing and displaying task signals (i.e. designing fMRI experimental paradigms). In addition, we have added several functions including 3D visualization of resting-state nodal degree, resting-state shortest path, activated state shortest path and activated state nodal degree. VDB V1.5 is a 3D visualization tool of human brain, which is used to construct the virtual digital brain and research neural activities of brain regions evoked by the virtual stimulating signal (or the stimulating signal of task). The virtual digital brain is a human brain model (i.e. a causal connectivity network). Every node of the human brain model denotes a Brodmann’s area (or AAL area) of human brain. We can exert the stimulating signal of task to some brain areas of the virtual digital brain and observe activation of brain regions. In addition, this tool V1.5 can also be used to obtain the stimulating signal of task, design task (i.e. design fMRI experimental paradigm), and study interregional causal connectivity and the shortest causal connectivity path (i.e. the strongest causal interactive path) from one brain area to another in the virtual digital brain.

VDB1.5

Guang-Yu Zhang — Thu, 02 May 2019 12:53:25 GMT

Please cite as ‘... was/were performanced using the virtual digital brain software package VDBV1.5 (https://www.nitrc.org/projects/vdb/) while using the software to make publicized paper.
Please cite the paper: “Zhang G. Y., Yang M., Liu B., Huang Z. C., Li J., Chen J. Y., Chen H, Zhang PP, Liu LJ, Wang J, Teng GJ. (2016). Changes of the directional brain networks related with brain plasticity in patients with long-term unilateral sensorineural hearing loss.Neuroscience 313 149–161.” while using the resting-state nodal degree to make publicized paper.

Virtual digital brain VDB1.4 released

Guang-Yu Zhang — Thu, 07 Feb 2019 3:05:23 GMT

We have improved the procedure “TaskDesign” in the software package VDB 1.4. The VDB 1.4 is more convenient for constructing auditory and visual task signals (i.e. designing fMRI experimental paradigms). VDB1.4 is a 3D visualization tool of human brain, which is used to construct the virtual digital brain and research neural activities of brain regions evoked by the virtual stimulating signal (or the stimulating signal of task). The virtual digital brain is a human brain model (i.e. a causal connectivity network). Every node of the human brain model denotes a Brodmann’s area (or AAL area) of human brain. We can exert the stimulating signal of task to some brain areas of the virtual digital brain and observe activation of brain regions. In addition, this tool VDB1.4 can also be used to obtain the stimulating signal of task, design task (i.e. design fMRI experimental paradigm), and study interregional causal connectivity and the shortest causal connectivity path (i.e. the strongest causal interactive path) from one brain area to another in the virtual digital brain.
The individualized virtual digital brain can be constructed by using VDB1.4 based on resting-state fMRI data of every participant. The virtual digital brain technique is similar to virtual reality. To investigate activation of brain regions, the stimulating signal of task is firstly processed, and then translated into an input signal of brain regions. Finally, the input signal is directly exerted to some brain regions of the individualized virtual digital brain instead of exerting to real human brain of every participant. Researchers can exert the stimulating signal of task to any brain area of the virtual digital brain and observe activation of brain regions.