title: Fuzzy logic: A "simple" solution for complexities in neurosciences?
abstract: BACKGROUND
  Fuzzy logic is a multi-valued logic which is similar to human thinking and interpretation. It has the potential of combining human heuristics into computer-assisted decision making, which is applicable to individual patients as it takes into account all the factors and complexities of individuals. Fuzzy logic has been applied in all disciplines of medicine in some form and recently its applicability in neurosciences has also gained momentum.
  
  
  METHODS
  This review focuses on the use of this concept in various branches of neurosciences including basic neuroscience, neurology, neurosurgery, psychiatry and psychology.
  
  
  RESULTS
  The applicability of fuzzy logic is not limited to research related to neuroanatomy, imaging nerve fibers and understanding neurophysiology, but it is also a sensitive and specific tool for interpretation of EEGs, EMGs and MRIs and an effective controller device in intensive care units. It has been used for risk stratification of stroke, diagnosis of different psychiatric illnesses and even planning neurosurgical procedures.
  
  
  CONCLUSIONS
  In the future, fuzzy logic has the potential of becoming the basis of all clinical decision making and our understanding of neurosciences.
authors.affiliation: Faculty of Health Sciences, Medical College, Aga Khan University, Karachi, Pakistan.
authors.forename: Saniya Siraj
authors.initials: SS
authors.lastname: Godil
authors.forename: Muhammad Shahzad
authors.initials: MS
authors.lastname: Shamim
authors.forename: Syed Ather
authors.initials: SA
authors.lastname: Enam
authors.forename: Uvais
authors.initials: U
authors.lastname: Qidwai