title: White matter differences predict cognitive vulnerability to sleep deprivation.
abstract: OBJECTIVE
  In other disciplines, white matter (WM) differences have been linked to cognitive impairments. This study sets out to clarify whether similar microstructural differences in WM tracts predict a person's cognitive vulnerability to the effects of total sleep deprivation (TSD).
  
  
  METHODS
  Participants completed a simple visual-motor task both before and after 24 h of TSD. Using a median split on the percent change in accuracy from pre-TSD to post-TSD, participants were separated into susceptibility groups. A diffusion tensor MR imaging (DTI) scan was acquired from each participant, and fractional anisotropy (FA) was calculated, examined across the brain, and compared between susceptibility groups.
  
  
  METHODS
  University of Texas at Austin.
  
  
  METHODS
  Thirty-two West Point cadets (9 females, 23 males) between 19 and 25 years of age.
  
  
  RESULTS
  Participant susceptibility to TSD was correlated with lower FA values in multiple regions of white matter, including the genu of corpus callosum and ascending and longitudinal white matter pathways. Significantly higher FA values in those less vulnerable to TSD, indicating increased neural connectivity and WM organization, may moderate the cognitive effects of sleep deprivation.
  
  
  CONCLUSIONS
  Differences in distributed WM pathways reflect, and may contribute to, a person's ability to function effectively when sleep deprived. The widespread nature of this effect supports previous views that TSD has a global effect on brain functioning.
authors.affiliation: Department of Psychology, University of Texas at Austin, Austin, TX 78712, USA. mrocklage@mail.utexas.edu
authors.forename: Matthew
authors.initials: M
authors.lastname: Rocklage
authors.forename: Victoria
authors.initials: V
authors.lastname: Williams
authors.forename: Jennifer
authors.initials: J
authors.lastname: Pacheco
authors.forename: David M
authors.initials: DM
authors.lastname: Schnyer
mesh_terms: D000328:Adult; D001921:Brain / Q000473:pathology*; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000473:pathology; D003072:Cognition Disorders / Q000473:pathology*; D003337:Corpus Callosum / Q000473:pathology; D003657:Decision Making / Q000502:physiology; D038524:Diffusion Magnetic Resonance Imaging; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D009413:Nerve Fibers, Myelinated / Q000473:pathology*; D009434:Neural Pathways / Q000473:pathology; D009483:Neuropsychological Tests; D011597:Psychomotor Performance / Q000502:physiology*; D012307:Risk Factors; D012892:Sleep Deprivation / Q000473:pathology*; D055815:Young Adult