A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping
نویسندگان
چکیده
منابع مشابه
Reliability Correction for Functional Connectivity
Network properties can be estimated using functional connectivity MRI (fcMRI). However, regional variation of the fMRI signal causes systematic biases in network estimates including correlation attenuation in regions of low measurement reliability. Here we computed the spatial distribution of fcMRI reliability using longitudinal fcMRI datasets and demonstrated how pre-estimated reliability maps...
متن کاملA Leakage-Resilient Spatial Encryption Scheme
A scheme is said leakage resilient if it remains secure even when an adversary is able to learn partial information about some secret values used throughout the lifetime of the system. This recent area appeared because of the need to develop schemes that resist to sidechannel attacks, such as power-consumption, fault or time analyses. Today, there exist a few encryption schemes that implement t...
متن کاملMapping functional connectivity
An objective and reliable assessment of wildlife movement is important in theoretical and applied ecology. The identification and mapping of landscape elements that may enhance functional connectivity is usually a subjective process based on visual interpretations of species movement patterns. New methods based on mathematical morphology provide a generic, flexible, and automated approach for t...
متن کاملFunctional connectivity density mapping.
Brain networks with energy-efficient hubs might support the high cognitive performance of humans and a better understanding of their organization is likely of relevance for studying not only brain development and plasticity but also neuropsychiatric disorders. However, the distribution of hubs in the human brain is largely unknown due to the high computational demands of comprehensive analytica...
متن کاملHybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment: A Feasibility Study
Brain functional connectivity (FC) is often assessed from fMRI data using seed-based methods, such as those of detecting temporal correlation between a predefined region (seed) and all other regions in the brain; or using multivariate methods, such as independent component analysis (ICA). ICA is a useful data-driven tool, but reproducibility issues complicate group inferences based on FC maps d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Human Brain Mapping
سال: 2015
ISSN: 1065-9471
DOI: 10.1002/hbm.22943