You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: spm_eeg_inv_spatnorm.m
    path of file: ./repos/spm
    
    the code of the file until where you have to start completion: function mesh = spm_eeg_inv_spatnorm(mesh)
% Spatial Normalisation (using Unified Segmentation)
% Transforms individual sMRI into MNI space and save the [inverse] 
% deformations that will be needed for computing the individual mesh
%
% FORMAT mesh = spm_eeg_inv_spatnorm(mesh)
% 
% mesh        - input data struct 
% 
% mesh        - same data struct including the inverse deformation .mat file
%               and filename of normalised (bias corrected) sMRI
%__________________________________________________________________________

% John Ashburner
% Copyright (C) 2009-2022 Wellcome Centre for Human Neuroimaging


spm('Pointer','Watch');

%-Initialise
%--------------------------------------------------------------------------
sMRI = mesh.sMRI;

    
function mesh = spm_eeg_inv_spatnorm(mesh)
% Spatial Normalisation (using Unified Segmentation)
% Transforms individual sMRI into MNI space and save the [inverse] 
% deformations that will be needed for computing the individual mesh
%
% FORMAT mesh = spm_eeg_inv_spatnorm(mesh)
% 
% mesh        - input data struct 
% 
% mesh        - same data struct including the inverse deformation .mat file
%               and filename of normalised (bias corrected) sMRI
%__________________________________________________________________________

% John Ashburner
% Copyright (C) 2009-2022 Wellcome Centre for Human Neuroimaging


spm('Pointer','Watch');

%-Initialise
%--------------------------------------------------------------------------
sMRI = mesh.sMRI;

%-Spatial Transformation into MNI space
%--------------------------------------------------------------------------
[pth,nam] = spm_fileparts(sMRI);
def       = fullfile(pth,['y_' nam '.nii']);
mat       = fullfile(pth,[nam '_seg8.mat']);

if ~(exist(def, 'file') && exist(mat, 'file'))
    % Assume it is an image, so derive deformation field.
    T = fullfile(spm('dir'),'tpm','TPM.nii,');
    p = struct('channel',struct('vols',     {{sMRI}},...
        'biasreg',  0.0001,...
        'biasfwhm', 60,...
        'write',    [0 0]),...
        'tissue', struct('tpm',   {{[T,'1']},{[T,'2']},{[T,'3']},{[T,'4']},{[T,'5']},{[T,'6']}},...
        'ngaus', {2,2,2,3,4,2},...
        'native',{[0 0],[0 0],[0 0],[0 0],[0 0],[0 0]},...
        'warped',{[0 0],[0 0],[0 0],[0 0],[0 0],[0 0]}),...
        'warp',   struct('reg',[0 0.001 0.5 0.05 0.2], 'affreg', 'mni', 'samp', 3, 'write', [0 1],'mrf',0));

    spm_preproc_run(p);
end