Abstract：
:The neuroimaging community has seen a renewed interest in algorithms that provide a location-independent summary of subject-specific abnormalities (SSA) to assess individual lesion load. More recently, these methods have been extended to assess whether multiple individuals within the same cohort exhibit extrema in the same spatial location (e.g., voxel or region of interest). However, the statistical validity of this approach has not been rigorously established. The current study evaluated the potential for a spatial bias in the distribution of SSA using several common z-transformation algorithms (leave-one-out [LOO]; independent sample [IDS]; Enhanced Z-Score Microstructural Assessment of Pathology [EZ-MAP]; distribution-corrected z-scores [DisCo-Z]) using both simulated data and DTI data from 50 healthy controls. Results indicated that methods which z-transformed data based on statistical moments from a reference group (LOO, DisCo-Z) led to bias in the spatial location of extrema for the comparison group. In contrast, methods that z-transformed data using an independent third group (EZ-MAP, IDS) resulted in no spatial bias. Importantly, none of the methods exhibited bias when results were summed across all individual elements. The spatial bias is primarily driven by sampling error, in which differences in the mean and standard deviation of the untransformed data have a higher probability of producing extrema in the same spatial location for the comparison but not reference group. In conclusion, evaluating SSA overlap within cohorts should be either be avoided in deference to established group-wise comparisons or performed only when data is available from an independent third group.
journal_name
Brain Imaging Behavjournal_title
Brain imaging and behaviorauthors
Dodd AB,Ling JM,Bedrick EJ,Meier TB,Mayer ARdoi
10.1007/s11682-018-9836-xsubject
Has Abstractpub_date
2018-12-01 00:00:00pages
1828-1834issue
6eissn
1931-7557issn
1931-7565pii
10.1007/s11682-018-9836-xjournal_volume
12pub_type
杂志文章abstract：:Seventeen subjects underwent functional magnetic resonance imaging (fMRI) performing a 2-Back verbal working memory (VWM) task alternating with a control task to characterize the temporal dynamics of the specific brain regions involved in VWM. Serial sampling of 2-Back sub-blocks revealed many small areas of activatio...
journal_title：Brain imaging and behavior
pub_type： 杂志文章
doi：10.1007/s11682-009-9081-4
更新日期：2010-03-01 00:00:00
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journal_title：Brain imaging and behavior
pub_type： 杂志文章
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journal_title：Brain imaging and behavior
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journal_title：Brain imaging and behavior
pub_type： 杂志文章
doi：10.1007/s11682-020-00424-1
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journal_title：Brain imaging and behavior
pub_type： 杂志文章
doi：10.1007/s11682-019-00222-4
更新日期：2020-12-01 00:00:00
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journal_title：Brain imaging and behavior
pub_type： 杂志文章
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更新日期：2016-12-01 00:00:00
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journal_title：Brain imaging and behavior
pub_type： 杂志文章
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更新日期：2017-10-01 00:00:00
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journal_title：Brain imaging and behavior
pub_type： 杂志文章
doi：10.1007/s11682-012-9147-6
更新日期：2012-03-01 00:00:00
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journal_title：Brain imaging and behavior
pub_type： 杂志文章
doi：10.1007/s11682-017-9724-9
更新日期：2018-06-01 00:00:00
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journal_title：Brain imaging and behavior
pub_type： 杂志文章
doi：10.1007/s11682-010-9097-9
更新日期：2010-06-01 00:00:00
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journal_title：Brain imaging and behavior
pub_type： 杂志文章
doi：10.1007/s11682-016-9579-5
更新日期：2017-08-01 00:00:00
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pub_type： 杂志文章
doi：10.1007/s11682-019-00083-x
更新日期：2020-10-01 00:00:00
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pub_type： 杂志文章
doi：10.1007/s11682-019-00075-x
更新日期：2020-08-01 00:00:00
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journal_title：Brain imaging and behavior
pub_type： 杂志文章,多中心研究
doi：10.1007/s11682-017-9746-3
更新日期：2018-06-01 00:00:00
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pub_type： 杂志文章
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journal_title：Brain imaging and behavior
pub_type： 杂志文章,评审
doi：10.1007/s11682-013-9262-z
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journal_title：Brain imaging and behavior
pub_type： 杂志文章,meta分析,评审
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更新日期：2016-09-01 00:00:00
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journal_title：Brain imaging and behavior
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