Hi Conn users,
I have finished a second level analysis of 36 subjects. I also did subjects effect using Lateralization Indexes for expressive and receptive language. At the end, I obtained for all subjects the given seed/sources BA and the corresponding target results. I have 2 questions about the results. Any assistance to understand the conn result is highly appreciated.
1) What is the difference between subjects contrast ; between condition contrast and between source contrast.
2) On using the subject effect of language lateralization index in the between-subject contrast (effect of all subjects), in ROi-to-ROI connection analysis, for each source ROI I get a list of targets ROIs each with its respective beta, T(degree of freedom) value, uncorrected p and p-FDR. how should interpret this T values? . The p-value tells me the statistical significance of the relationship between source and target ROIs, but I am not sure the interpretation of the T value when the lateralization index regressor effect is considered. In general, the t-value measures the size of the difference relative to the variation in the mean of the populations represented in the sample data. In this case, that we have for each source seed ROI a group of targets (Rois) using the lateralization index as effect regressor, which could be these 2 populations? in other words how to interpret the role of the t value in the result table?
I deeply appreciate your clarification in these concepts.
Best regards
Magno
I have finished a second level analysis of 36 subjects. I also did subjects effect using Lateralization Indexes for expressive and receptive language. At the end, I obtained for all subjects the given seed/sources BA and the corresponding target results. I have 2 questions about the results. Any assistance to understand the conn result is highly appreciated.
1) What is the difference between subjects contrast ; between condition contrast and between source contrast.
2) On using the subject effect of language lateralization index in the between-subject contrast (effect of all subjects), in ROi-to-ROI connection analysis, for each source ROI I get a list of targets ROIs each with its respective beta, T(degree of freedom) value, uncorrected p and p-FDR. how should interpret this T values? . The p-value tells me the statistical significance of the relationship between source and target ROIs, but I am not sure the interpretation of the T value when the lateralization index regressor effect is considered. In general, the t-value measures the size of the difference relative to the variation in the mean of the populations represented in the sample data. In this case, that we have for each source seed ROI a group of targets (Rois) using the lateralization index as effect regressor, which could be these 2 populations? in other words how to interpret the role of the t value in the result table?
I deeply appreciate your clarification in these concepts.
Best regards
Magno