Hi Vasudev,There are many different ways in which the brain can be parcellated, based on anatomy, function, and combinations thereof. The paper by Brett et al. (2002, http://www.nature.com/nrn/journal/v3/n3/full/nrn756.html ) had a different original purpose but it's useful here too in reviewing what different features can mean. And major multimodal parcellation effort using data from the HCP has just been published (Glasser et al, 2016, http://www.nature.com/nature/j ournal/v536/n7615/full/nature1 ).8933.html Given what you seem interested in clustering, perhaps consider as a starting point the work by Craddock et al (Human Brain Mapping, 2012, https://www.ncbi.nlm.nih.gov/pubmed/21769991 ). Some additional details and the scripts are available freely here and here.All the best,AndersonOn 4 January 2017 at 19:50, Dev vasu <vasudevamurthy.devulapally@gmail.com > wrote:VasudevThanksDear Sir,Is there any approach where i can perform Group wise multimodal parcellation, I want to include T1w,T2w,rfMRI, and DTI or 2 groups of subjects (25 healthy and 25 diseased controls with BLVP) and perform multimodal clustering on whole brain. If you have some Journals or some approaches which can useful in performing the analysis i would be really grateful for your help.On 4 January 2017 at 15:38, Dev vasu <vasudevamurthy.devulapally@gmail.com > wrote:---------- Forwarded message ----------
From: Dev vasu <vasudevamurthy.devulapally@gmail.com >
Date: 4 January 2017 at 13:58
Subject: Re: [FSL] Group Average parcellation
To: FSL - FMRIB's Software Library <[log in to unmask]>VasudevThanksI know that we can easily define a seed region on an Atlast ( MNI 152 or Harvard oxford atlas ) but i would like use clustering approach for whole brain parcellation.Dear Sir,I would like to measure the neural activity of visual vestibular interaction between healthy controls and patients with bilateral vestibulopathy ,for this i have thought of using seed based functional connectivity to examine visual vestibular changes in BLVP patients in my study,
I would like to perform whole brain clustering on 2 groups of subjects that i have ( 25 healthy and 25 BLVP ) and extract 600 - 700 ROIs using temporal correlation and i feel this is better way to define a seed region to investigate functional connectivity changes , kindly let me know if there is any thing wrong in my approach, your suggestions are greatly appreciated.On 4 January 2017 at 12:32, Anderson M. Winkler <[log in to unmask]> wrote:Hi Vasudev,What feature would you like to drive the parcellation? The ICA itself is a form of soft (fuzzy) parcellation. I'm unsure what you'd like to do.All the best,AndersonOn 2 January 2017 at 12:58, Dev vasu <vasudevamurthy.devulapally@gmail.com > wrote:VasudevThanksI would like to know the better approach for Group wise parcellation ( any previous Publications concerning the same topic would be greatly appreciated ).Dear FSL community,I have 50 Subjects ( 25 healthy controls and 25 patients with BLVP ), I have performed Group mean ICA , I would like to perform whole brain parcellation on Group Mean ICA of Healthy controls and Group mean ICA of patients with BLVP.