Numerical data fitting in dynamical systems is a non-trivial endeavour, full of pitfalls (see, e.g. Chapter 4 in [ 38]).
For a rather comprehensive discussion of advantages and pitfalls, see a recent review by W. M. Freeman et al. (12).
Although the sample size is limited, essential methodological pitfalls seem not to confound our observations.
The inherent advantage to this approach is that whole-brain data analysis of "resting state data" effectively circumvents many of the methodological pitfalls associated with examining "activation" changes in clinical samples (e.g., task difficulty, performance inequalities) (see [12], [15]).
Google data is used to track influenza outbreaks, for instance, although doing so is not without its methodological pitfalls.
The subjective views elicited in such research, however, must be weighed against a variety of methodological pitfalls in interpreting such results.
Apart from knowledge on methodological pitfalls and opportunities regarding the use of IMUs, this review provides future research paths.
Further research on this topic is required to clarify the relationship between folate status and schizophrenia and should avoid the methodological pitfalls mentioned in this review.
Furthermore, in light of the present 'replicability crisis' we identify methodological pitfalls and provide suggestions for study design and analyses tailored to individual difference research in fear conditioning.
However, this approach is prone to several methodological pitfalls that may explain the large discrepancy in the results reported in the literature.
