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PreSurgMapp: a MATLAB Toolbox for Presurgical Mapping of Eloquent Functional Areas Based on Task-Related and Resting-State Functional MRI

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Abstract

The main goal of brain tumor surgery is to maximize tumor resection while minimizing the risk of irreversible postoperative functional sequelae. Eloquent functional areas should be delineated preoperatively, particularly for patients with tumors near eloquent areas. Functional magnetic resonance imaging (fMRI) is a noninvasive technique that demonstrates great promise for presurgical planning. However, specialized data processing toolkits for presurgical planning remain lacking. Based on several functions in open-source software such as Statistical Parametric Mapping (SPM), Resting-State fMRI Data Analysis Toolkit (REST), Data Processing Assistant for Resting-State fMRI (DPARSF) and Multiple Independent Component Analysis (MICA), here, we introduce an open-source MATLAB toolbox named PreSurgMapp. This toolbox can reveal eloquent areas using comprehensive methods and various complementary fMRI modalities. For example, PreSurgMapp supports both model-based (general linear model, GLM, and seed correlation) and data-driven (independent component analysis, ICA) methods and processes both task-based and resting-state fMRI data. PreSurgMapp is designed for highly automatic and individualized functional mapping with a user-friendly graphical user interface (GUI) for time-saving pipeline processing. For example, sensorimotor and language-related components can be automatically identified without human input interference using an effective, accurate component identification algorithm using discriminability index. All the results generated can be further evaluated and compared by neuro-radiologists or neurosurgeons. This software has substantial value for clinical neuro-radiology and neuro-oncology, including application to patients with low- and high-grade brain tumors and those with epilepsy foci in the dominant language hemisphere who are planning to undergo a temporal lobectomy.

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Notes

  1. http://www.fil.ion.ucl.ac.uk/spm

  2. http://www.restfmri.net (Song et al. 2011)

  3. http://rfmri.org/DPARSF (Yan and Zang 2010)

  4. http://icatb.sourceforge.net/

  5. http://www.nitrc.org/projects/cogicat (Zhang et al. 2010)

  6. http://www.mricro.com/

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Acknowledgments

The authors would like to thank the neurosurgeons, neuroeletrophysiologists, and neuroradiologists for their cooperation and contribution, and the following open-source toolbox contributors: Chaogan Yan (DPARSF), Xiaowei Song (REST) and the SPM team. This work was partially supported by the National Natural Science Foundation of China (Nos. 81201156, 81271517), the National Key Technology R&D Program of China (No. 2014BAI04B05), the Zhejiang Provincial Natural Science Foundation of China (No. LY13H180016, LY16H180007), the Science Foundation for Post Doctorate Research of China (No. 2013 M540501), the Science Foundation from Health Commission of Zhejiang Province (No. 201342245, 2013RCA001), the General Research Project of Medicine and Health of Zhejiang Province (No. 2013KYB211) and the open grant from Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment (No. PD11001005002014).

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Authors and Affiliations

  1. Center for Cognition and Brain Disorders, Hangzhou Normal University, 58 Haishu Road, Hangzhou, 311121, People’s Republic of China

    Huiyuan Huang, Han Zhang & Yu-Feng Zang

  2. School of Education Science, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, People’s Republic of China

    Huiyuan Huang

  3. Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang, 310015, People’s Republic of China

    Huiyuan Huang, Han Zhang & Yu-Feng Zang

  4. Department of Radiology, Zhejiang Provincial People’s Hospital, Hangzhou, Zhejiang, 310014, People’s Republic of China

    Zhongxiang Ding, Dewang Mao, Jianhua Yuan & Fangmei Zhu

  5. Department of Neurosurgery, Zhejiang Provincial People’s Hospital, Hangzhou, Zhejiang, 310014, People’s Republic of China

    Shuda Chen, Yan Xu, Lin Lou & Xiaoyan Feng

  6. Department of Radiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, 310015, People’s Republic of China

    Le Qi

  7. Department of Neurosurgery, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, 310015, People’s Republic of China

    Wusi Qiu

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  1. Huiyuan Huang
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  2. Zhongxiang Ding
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  12. Han Zhang
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  13. Yu-Feng Zang
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Correspondence to Han Zhang.

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Huang, H., Ding, Z., Mao, D. et al. PreSurgMapp: a MATLAB Toolbox for Presurgical Mapping of Eloquent Functional Areas Based on Task-Related and Resting-State Functional MRI. Neuroinform 14, 421–438 (2016). https://doi.org/10.1007/s12021-016-9304-y

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