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The Morphometric Analysis Program v2018 (short: MAP18) is intended to facilitate the detection and visualization of epileptogenic pathologies. As such it is successfully used in over 60 specialized epilepsy clinics worldwide. A major part of the program is dedicated to morphometric MRI analysis which compares the individual brain anatomy with a normal database and highlights deviations in terms of gyration, cortical thickness and grey-white matter differentiation. This shall improve the recognition and demarcation of focal cortical dysplasias (FCD) and other cortical malformations. Furthermore, the software allows creating serial curved surfaces in different depths parallel to the cortical surface. This resembles the method of Curvilinear Reformatting as proposed by Bastos et al. (1999) but requires no manual input (e.g., no marking of supporting points on the cortical surface). Moreover, the software includes SISCOM analysis (i.e. subtraction ictal single-photon emission computed tomography (=SPECT) coregistered to MRI), whole brain FLAIR analysis as proposed by Focke N et al. (Epilepsia 2008 and 2009), quantitative FLAIR analysis of temporo-mesial structures (Huppertz HJ et al., Epilepsy Res 2011), automated detection of periventricular nodular heterotopia (PNH) (Pascher B et al., Epilepsia 2013), and tools for visualization of implanted subdural electrodes (Kovalev D et al., AJNR 2005). Recently, a simple volumetric MRI evaluation was added for structures important in epileptology such as hippocampi, cerebral hemispheres, etc.

MAP18 is based on algorithms of the free and open source software for Statistical Parametric Mapping (SPM) of the Wellcome Trust Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, UK, in its current version (SPM12).

Officially, MAP18 is intended for research purposes only and has not been reviewed or approved by the European Medicine Agency (EMA) or by any other agency. Any clinical application of the software is at the sole risk of the party engaged in such application. There is no warranty of any kind that the software will produce useful results in any way. Use of the software is at the recipient's own risk.

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  1. Huppertz et al.: Enhanced visualization of blurred gray-white matter junctions in FCD by voxel-based 3-D MRI analysis. Epilepsy Res 2005.

  2. Huppertz et al.: Automatic curvilinear reformatting of 3D MRI data of the cerebral cortex. NeuroImage 2008.

  3. Huppertz et al.: Voxel-based 3-D MRI analysis helps to detect subtle forms of subcortical band heterotopia. Epilepsia 2008.

  4. Huppertz et al.: Automated quantitative FLAIR analysis in HS. Epilepsy Res 2011.

  5. Pascher et al.: Automated morphometric MRI analysis for the detection of PNH. Epilepsia 2013.


  1. Wagner et al.: Morphometric MRI analysis improves detection of focal cortical dysplasia type II. Brain 2011

  2. Wang et al.: Linking MRI Postprocessing with Magnetic Source Imaging in MRI-negative Epilepsy. Ann Neurol 2014

  3. Wang et al.: Voxel-based morphometric magnetic resonance imaging (MRI) postprocessing in MRI-negative epilepsies. Ann Neurol 2015

  4. David et al.: External validation of automated focal cortical dysplasia detection using morphometric analysis. Epilepsia 2021

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Annual Meeting and Summer School on Imaging in Epilepsy, Epilepsy Surgery, Epilepsy Research and Cognitive Neurosciences 2020
(September 14-18, 2020, Bochum, Germany)

When founded in 2015, the Summer School on Imaging in Epilepsy (SuSIE) was a pure teaching event for adult and pediatric epileptologists. Since that time, the SuSIE has undergone continuous further development. It is now a multidisciplinary forum that invites all professions with an interest in development, application, processing and interpretation of neuroimaging for exchange of ideas and experiences. More than any classical congress, SuSIE offers an excellent opportunity to introduce users to new products by hands-on workshops, including MAP18.

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Prof. Dr. med. Hans-Jürgen Huppertz

Swiss Epilepsy Clinic, Klinik Lengg AG

Bleulerstrasse 60

CH‐8008 Zürich, Switzerland

Klinik Lengg AG

Klinik Lengg AG - Medical Image Analysis

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