Frontal and parietal activity after sleep deprivation is dependent on task difficulty and can be predicted by the fMRI response after normal sleep

Behavioural Brain Research
Karen E LytheMitul A Mehta

Abstract

Sleep disturbance in neurological and psychiatric disorders is common and associated with diminished cognitive functioning. Whilst these deficits can be localised predominantly to frontal and parietal regions, there have been reported inconsistencies which may be due to differences in the difficulty and type of task. In the present study we examined the effects of sleep deprivation (SD) whilst parametrically varying working memory load using an n-back task. 20 right-handed males performed the n-back task after a night of normal sleep (RW: rested wakefulness) and after approximately 31 h of SD. Comparison of load responsive cerebral activation identified two clusters where the parametric response was altered after SD. In the right ventrolateral prefrontal cortex activity was reduced at the most difficult working memory load, whereas in the right inferior parietal lobe activity was increased at the simplest working memory load. The strength of activation in both of these regions during RW predicted the response of those same regions to SD. While the ability to predict signal change has previously been demonstrated using behavioural measures, to our knowledge this is the first study to show that the neuronal effects of SD can be p...Continue Reading

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Citations

Sep 3, 2013·Sleep·Sean P A DrummondLaura D Straus
Jun 7, 2014·Journal of Sleep Research·Daniela TempestaMichele Ferrara
Mar 22, 2013·PloS One·Romain LericollaisDamien Davenne
May 19, 2017·Nature Reviews. Neuroscience·Adam J KrauseMatthew P Walker
Sep 30, 2018·Investigative Ophthalmology & Visual Science·Masafumi OnoMunetaka Haida
Mar 13, 2020·Journal of Cognitive Neuroscience·Maheen ShermohammedLeah H Somerville
Jul 30, 2019·JNCI Cancer Spectrum·Kevin T LiouJun J Mao
Jun 28, 2019·Frontiers in Human Neuroscience·Mónica EmchKathrin Koch
Oct 31, 2020·Frontiers in Neuroscience·Ziyi PengYi Wang

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