It should help to raise existing methodological patterns shortcomings in order to propose new and better-suited designs.
The results provide a comprehensive, two-decade look at the key topical, theoretical, and methodological patterns prevalent at the aggregate level as well as within selected journals.
Methodological design issues in pattern recognition are of particular interests to many scientific disciplines ranging from life science to engineering.
Despite emerging patterns, methodological heterogeneities and shortcomings in this literature likely obscure consistent patterns among studies.
They also identified a pattern of methodological problems with experiments showing positive results, like poor controls and a reliance on a single measure of cognitive improvement.
The adequate selection of relevant features for between-group discrimination is one important methodological step of neuroanatomical pattern classification studies [ 7, 44].
The disparity in organism profiles between studies may reflect regional variation, patterns of antimicrobial use, methodological differences, or disease severity patterns.
In particular, the deluge of genomic data, which has dramatically increased in recent years, now offers the opportunity to investigate, for the first time, and in a single analysis using the same methodological approach, paleo-evolutionary patterns and processes that have shaped present-day plant and animal genome organization.
Modern neuroimaging techniques like fMRI and diffusion tensor imaging (DTI), along with methodological advances in both spatial pattern detection and anatomical tracing, has made it possible to extract the functional patterns and the structures of neuroanatomical circuitry at different spatial scales [ 36– 36].
This could be explained by the fact that each instrument has a question pattern to appraise methodological quality and address different key areas.
