conn functional connectivity toolbox version 22a Search Results


conn toolbox  (MathWorks Inc)
96
MathWorks Inc conn toolbox
Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
Conn Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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conn toolbox version  (MathWorks Inc)
96
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Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
Conn Toolbox Version, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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conn toolbox version 22a  (MathWorks Inc)
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Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
Conn Toolbox Version 22a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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igor 6.22a  (wavemetrics inc)
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Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
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igorpro 6.22a  (wavemetrics inc)
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Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
Igorpro 6.22a, supplied by wavemetrics inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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igor pro  (wavemetrics inc)
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Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
Igor Pro, supplied by wavemetrics inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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software suite  (wavemetrics inc)
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wavemetrics inc software suite
Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
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software package igor pro version 6.22a  (wavemetrics inc)
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Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
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purpose-written software in igor pro version 6.22a  (wavemetrics inc)
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Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
Purpose Written Software In Igor Pro Version 6.22a, supplied by wavemetrics inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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macros igor pro version 6.22a  (wavemetrics inc)
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Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
Macros Igor Pro Version 6.22a, supplied by wavemetrics inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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springer-verlag  (Verlag GmbH)
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Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
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Image Search Results


Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases (CONN method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings from SPM12. All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).

Journal: Neurobiology of Language

Article Title: A Comparison of Denoising Approaches for Spoken Word Production Related Artefacts in Continuous Multiband fMRI Data

doi: 10.1162/nol_a_00151

Figure Lengend Snippet: Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases (CONN method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings from SPM12. All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).

Article Snippet: Preprocessing and statistical analyses were conducted using SPM12 ( https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ ) and the CONN toolbox (Version 22.a; ) in MATLAB R2019B ( ).

Techniques: