.. _external_packages:

See also
=========

These open-source software packages and workflows build upon SimNIBS and might be interesting for you. Let us know in case you've developed something cool using SimNIBS!

**ACES (Automated Correlation of Electric field strength and Stimulation effects)** (`website <https://osf.io/5rswh>`_, `reference <https://www.brainstimjrnl.com/article/S1935-861X(24)00061-5/fulltext>`_) that enabes the aggregation of NIBS findings on the meta-analytical or within-study level for analyses.

**BabelBrain** (`website <https://github.com/ProteusMRIgHIFU/BabelBrain>`_, `reference <https://ieeexplore.ieee.org/document/10121198>`_) is a software for the simulation of transcranial ultrasound stimulation and uses SimNIBS for the `creation of head models <https://proteusmrighifu.github.io/BabelBrain/pipeline/Preliminary_steps.html>`_ .

**BrainStorm** (`website <https://neuroimage.usc.edu/brainstorm>`_, `reference <https://doi.org/10.1155/2011/879716>`_) is a package for the analysis of brain signal recordings and uses SimNIBS for the `creation of FEM head meshes <https://neuroimage.usc.edu/brainstorm/Tutorials/FemMesh>`_ .

**Metamodeling** (`website <https://github.com/Miles2708/Metamodeling_WM>`_, `reference <https://www.sciencedirect.com/science/article/pii/S0149763421003602?via%3Dihub>`_) introduces a new way to do meta-analyses of brain stimulation effects

**NHP modeling pipeline** (`website <https://github.com/ngoswami1/nhp-modeling-pipeline>`_, `reference <https://www.sciencedirect.com/science/article/pii/S0165027024001213>`_) uses SimNIBS to calculate electric fields in NHP head models.

**PlanTUS** (`website <https://github.com/mlueckel/PlanTUS>`_) uses SimNIBS charm to create head models for TUS planning.

**TAP (TMS_Targeting_And_Analysis_Pipeline)** (`website <https://github.com/moritzdannhauer/TAP>`_, `reference <https://iopscience.iop.org/article/10.1088/1741-2552/ac63a4/meta>`_) is a pipeline to optimize and verify coil placements in transcranial magnetic stimulation.

**Targeted Functional Network Stimulation (TANS)** (`website <https://github.com/cjl2007/Targeted-Functional-Network-Stimulation>`_, `reference <https://www.cell.com/neuron/fulltext/S0896-6273(22)00744-9>`_) aims to optimize the network-specificity of TMS stimulation.

**TMSloc_proto** (`website <https://gitlab.gwdg.de/tms-localization/papers/tmsloc_proto>`_, `reference <https://www.nature.com/articles/s41596-022-00776-6>`_) integrates SimNIBS field calculations into an analysis pipeline for TMS motor mapping data

**TMS_targeting** (`website <https://github.com/balders2/tms_targeting>`_, `reference <https://www.nature.com/articles/s41596-020-0387-4>`_) aims to identify an optimal TMS target using fMRI data and e-field modelling.