help > NBS and PPI
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Dec 22, 2014 11:12 AM | Ileana Quinones - BCBL
NBS and PPI
Dear Andrew,
I'm interested in replicating the statistical procedure described in Cochi et al (2013), where NBS was used in combination with PPI analysis.
This reference is also included in page 10 of the manual.
Quoting Cochi et al. (2013):
We tested whether the extent of any card-dependent influence of
one region on another significantly differed across the 5 active card
conditions. A within-subjects analysis of variance (ANOVA) was used
to test this hypothesis for each of the 18 × 17 = 308 connections. The
network-based statistic (NBS; Zalesky et al. 2010; Cocchi et al. 2012a;
Zalesky et al. 2012) was used to correct for multiple comparisons.
The NBS ascribed a corrected P-value to each network of regions for
which inter-regional interactions differed across the 5 card conditions.
A primary F-statistic threshold of 3 was used for the NBS.
Hence, I don't understand how the above approach could be done with NBS since the standard or generalized PPI is a directed metric, and thus the connectivity matrices are not symmetric, whereas you indicated in the previous post (topic:symmetric connectivity matrices) , NBS v1.2 only considers the upper triangular part of the matrix, i.e. assumes symmetric connectivity matrix.
Could you please give me a recommendation?
Best
I'm interested in replicating the statistical procedure described in Cochi et al (2013), where NBS was used in combination with PPI analysis.
This reference is also included in page 10 of the manual.
Quoting Cochi et al. (2013):
We tested whether the extent of any card-dependent influence of
one region on another significantly differed across the 5 active card
conditions. A within-subjects analysis of variance (ANOVA) was used
to test this hypothesis for each of the 18 × 17 = 308 connections. The
network-based statistic (NBS; Zalesky et al. 2010; Cocchi et al. 2012a;
Zalesky et al. 2012) was used to correct for multiple comparisons.
The NBS ascribed a corrected P-value to each network of regions for
which inter-regional interactions differed across the 5 card conditions.
A primary F-statistic threshold of 3 was used for the NBS.
Hence, I don't understand how the above approach could be done with NBS since the standard or generalized PPI is a directed metric, and thus the connectivity matrices are not symmetric, whereas you indicated in the previous post (topic:symmetric connectivity matrices) , NBS v1.2 only considers the upper triangular part of the matrix, i.e. assumes symmetric connectivity matrix.
Could you please give me a recommendation?
Best
Apr 16, 2015 02:04 AM | Andrew Zalesky
RE: NBS and PPI
Dear Ileana,
The current version of the software does not implement any form of PPI.
The paper you have referenced used custom scripts. I believe the CONN software package implements both PPI and NBS.You might want to check out CONN. Alternatively, you might want to contact the first author of the paper. He may be willing to share the scripts.
Andrew
Originally posted by Ileana Quinones:
The current version of the software does not implement any form of PPI.
The paper you have referenced used custom scripts. I believe the CONN software package implements both PPI and NBS.You might want to check out CONN. Alternatively, you might want to contact the first author of the paper. He may be willing to share the scripts.
Andrew
Originally posted by Ileana Quinones:
Dear Andrew,
I'm interested in replicating the statistical procedure described in Cochi et al (2013), where NBS was used in combination with PPI analysis.
This reference is also included in page 10 of the manual.
Quoting Cochi et al. (2013):
We tested whether the extent of any card-dependent influence of
one region on another significantly differed across the 5 active card
conditions. A within-subjects analysis of variance (ANOVA) was used
to test this hypothesis for each of the 18 × 17 = 308 connections. The
network-based statistic (NBS; Zalesky et al. 2010; Cocchi et al. 2012a;
Zalesky et al. 2012) was used to correct for multiple comparisons.
The NBS ascribed a corrected P-value to each network of regions for
which inter-regional interactions differed across the 5 card conditions.
A primary F-statistic threshold of 3 was used for the NBS.
Hence, I don't understand how the above approach could be done with NBS since the standard or generalized PPI is a directed metric, and thus the connectivity matrices are not symmetric, whereas you indicated in the previous post (topic:symmetric connectivity matrices) , NBS v1.2 only considers the upper triangular part of the matrix, i.e. assumes symmetric connectivity matrix.
Could you please give me a recommendation?
Best
I'm interested in replicating the statistical procedure described in Cochi et al (2013), where NBS was used in combination with PPI analysis.
This reference is also included in page 10 of the manual.
Quoting Cochi et al. (2013):
We tested whether the extent of any card-dependent influence of
one region on another significantly differed across the 5 active card
conditions. A within-subjects analysis of variance (ANOVA) was used
to test this hypothesis for each of the 18 × 17 = 308 connections. The
network-based statistic (NBS; Zalesky et al. 2010; Cocchi et al. 2012a;
Zalesky et al. 2012) was used to correct for multiple comparisons.
The NBS ascribed a corrected P-value to each network of regions for
which inter-regional interactions differed across the 5 card conditions.
A primary F-statistic threshold of 3 was used for the NBS.
Hence, I don't understand how the above approach could be done with NBS since the standard or generalized PPI is a directed metric, and thus the connectivity matrices are not symmetric, whereas you indicated in the previous post (topic:symmetric connectivity matrices) , NBS v1.2 only considers the upper triangular part of the matrix, i.e. assumes symmetric connectivity matrix.
Could you please give me a recommendation?
Best
