Plos One The Yin And The Yang Of Prediction An Fmri Study Of Semantic Predictive Processing
In investigations of the brain's resting state using functional magnetic resonance imaging (fMRI), a seedbased approach is commonly used to identify brain regions that are functionally connected The seed is typically identified based on anatomical landmarks, coordinates, or the location of brain activity during a separate task Hi, It is wellknown that depending where we choose seed region of the DMN (eg, PCC or mPFC) we can get major difference between the networks Why is that?
Seed region fmri
Seed region fmri-A recent study using seedbased rsfMRI was able to demonstrate the SMA in patients with gliomas using seeds placed in the hand motor region 26 We extended the investigation in a larger cohort of subjects by comparing the accuracy of SMA detection in patients with brain lesions with controls and used different sites of ROI placement, because the hand motor region may not always beMethods We compared the RfMRI activity patterns of 15 healthy controls to 15 primary insomnia patients (all 30 participants were righthanded) using a 30 T MRI scanner The SPM8 and REST17 software packages were used for preprocessing and analysis Activity was expressed relative to the superior parietal lobe (SPL, the seed region) to
Changes In Thalamus Connectivity In Mild Cognitive Impairment Evidence From Resting State Fmri European Journal Of Radiology
Typical FMRI data analysis " Massively univariate (voxelwise) regression y = Xβε " Relatively robust and reliable " May infer regions involved in a task/state, but can't say much about the details of a network !Overview Connectivity analysis ! Seed regions were defined in ventral anterior cingulate cortex (vACC) and posterior cingulate cortex (PCC) using the Pickatlas utility (35) The mean region of interest (ROI) signal was extracted from each subject's resting images and was subsequently used as the regressor in a wholebrain linear regression analysis
Restingstate fMRI (A) Seed region in the left somatomotor cortex (LSMC) is shown in yellow (B) Time course of spontaneous BOLD activity recorded during resting fixation and extracted from the seed region Statistical zscore map showing voxels that are significantly correlated with the extracted time courseBackground Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS), Gulf War Illness (GWI) and control subjects had fMRI during difficult cognitive tests performed before and after submaximal exercise provocation (Washington ) Exercise caused increased activation in ME/CFS but decreased activation for GWI in the dorsal midbrain, left Rolandic operculum and Figure 1 Interactive seeding methods proposed for structural and functional connectivityIn (A,B), one can see the traditional approaches for generating structural and functional connectivity using a seedROI (green box, circled red on the right) Shows the use of functional connectivity for the generation of underlying structural connections by initiating tractography
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One solution might be to go the other way around, and localise the reward areas to be used as the seed region in your FC analysis this can be pretty easily accomplished either anatomically, or Purpose Patients with a hepatitis C virus (HCV) infection frequently exhibit various neuropsychiatric complications such as cognitive decline This study is aimed at investigating alterations in regional and networklevel neural function in patients with HCV infection and examining the association between these alterations and patients
Incoming Term: seed region fmri,
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