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Resource Name
RRID:SCR_014937 RRID Copied      
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DRIFTER (RRID:SCR_014937)
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Resource Information

URL: http://becs.aalto.fi/en/research/bayes/drifter/

Proper Citation: DRIFTER (RRID:SCR_014937)

Description: Model based Bayesian method for eliminating physiological noise from fMRI data. This algorithm uses image voxel analysis to isolate the cardiac and respiratory noise from the relevant data.

Synonyms: DRIFTER Toolbox

Resource Type: data processing software, image analysis software, software application, software resource

Defining Citation: PMID:22281675

Keywords: bayesian, physiological noise, fMRI, algorithm, cardiac, respiratory, image anaylsis, bold signal

Funding: NICHD R01HD040712; NINDS R01NS037462; NINDS R01NS048279; NCR P41RR014075; NIMH R01MH083744; NIDCD R21DC010060; NIBIB R21EB007298; National Science Council Taiwan NSC 98-2320-B-002-004-MY3; National Science Council Taiwan NSC 100-2325-B-002-046; National Health Research Institute Taiwan NHRI-EX100-9715EC; Academy of Finland 124698; Academy of Finland 125349; Academy of Finland 127624; Academy of Finland 129670; Academy of Finland 218054; Academy of Finland 218248

Availability: Free, Available for download, Acknowledgement requested

Resource Name: DRIFTER

Resource ID: SCR_014937

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has parent organization

Aalto University; Espoo; Finland

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Data and Source Information

Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400