An　insula　functional　parcellation　method　based　on　Gaussian　mixture　model　(GMM)　searched　by　immune　clonal　selection　(ICS)　algorithm,　called　NICS-GMM,　was　presented　to　get　better　functional　parcellation　structure　of　insula　and　deepen　our　understanding　of　its　functional　organization.　Based　on　functional　magnetic　resonance　imaging　(fMRI)　data,　the　proposed　method　first　mapped　a　GMM　onto　an　antibody;　then　ICS　algorithm　was　performed　to　search　a　GMM　that　could　reflect　insula　functional　distribution.　Meanwhile,　dynamic　neighborhood　information　with　the　anti-noise　capability　was　integrated　into　the　search　process　to　improve　search　quality　of　ICS.　Finally,　insula　functional　parcellation　was　obtained　by　using　GMMs　with　the　highest　lilelihood　scores.　The　experiments　were　conducted　on　real　fMRI　data　of　insula　with　parcellation　numbers　of　2　to　12.　As　a　result,　GMMs　obtained　by　NICS-GMM　have　the　heighest　likelyhood　scores　and　the　silhouette　index　values　of　the　corresponding　parcellateion　results　also　reach　the　maximum.　The　experimental　results　demonstrate　that　the　proposed　method　not　only　has　better　global　search　capability,　but　also　can　obtain　functional　parcellation　structures　of　insula　with　higher　functional　consistency　and　stronger　regional　continuity.　©　2017,　Zhejiang　University　Press.　All　right　reserved.