History of AFNI updates  

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May 11, 2021 07:59AM
In a recent published commentary "Sources of Information Waste in Neuroimaging: Mishandling Structures, Thinking Dichotomously, and Over-Reducing Data", we make the following four suggestions to alleviate information waste and to improve reproducibility:

(1) abandon strict dichotomization;
(2) report full results;
(3) quantify effects;
(4) model data hierarchy.

One particular suggestion for voxel-wise modeling approach is full result reporting: avoid hard threshodling and adopt a "highlight but not hide" methodology as shown in Fig. 1F in the paper:

We believe that the hierarchical perspective helps reveal the information loss associated with two aspects of the conventional modeling approach: the implicit assumption of uniform distribution and the artificial dichotomization required in handling multiplicity. In fact, these two aspects are two sides of the same coin: the conventional modeling methodology focuses only on local relatedness among neighboring spatial units, but ignores the global information shared across the whole brain. Consequently, the various approaches of adjustment for multiple testing adopted in the field may lead to excessive penalties and overconservative inferences. For these considerations, when voxelwise analysis is performed under the conventional massively univariate framework, we believe that the Bayesian multilevel framework lends an important perspective: a threshold or a set of spatial blobs purely based on statistical evidence is only suggestive but not rigid. To avoid further information waste, any statistical evidence should be viewed -- regardless of the adopted framework -- as intrinsically embedded with some underlying and implicit assumptions; it should be considered as a continuum both in result reporting as well as during the research reviewing process.

Gang



Edited 7 time(s). Last edit at 05/27/2022 05:45PM by Gang.
Subject Author Posted

Thoughts about modeling and result reporting

Gang May 11, 2021 07:59AM

Re: Thoughts about modeling and result reporting

munoztd0 May 19, 2021 05:24PM

Re: Thoughts about modeling and result reporting

Gang May 20, 2021 07:05AM

Re: Thoughts about modeling and result reporting

munoztd0 May 20, 2021 08:58AM

Re: Thoughts about modeling and result reporting

Gang May 20, 2021 10:15PM

Re: Thoughts about modeling and result reporting

munoztd0 May 25, 2021 08:51AM

Re: Thoughts about modeling and result reporting

s.meliss September 07, 2021 10:09AM

Re: Thoughts about modeling and result reporting

ptaylor September 07, 2021 10:58AM

Re: Thoughts about modeling and result reporting

s.meliss September 09, 2021 10:25AM

Re: Thoughts about modeling and result reporting

ptaylor September 11, 2021 04:17PM

Re: Thoughts about modeling and result reporting

ptaylor October 01, 2021 03:31PM



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