Journal Article

FZJ-2019-02321

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Functional brain alterations in acute sleep deprivation: An activation likelihoodestimation meta-analysis

Javaheripour, N. ; Shahdipour, N. ; Noori, K. ; Zarei, M. ; Camilleri, J.FZJ* ; Laird, A. R. ; Fox, P. ; Eickhoff, S.FZJ* ; Eickhoff, C.FZJ* ; Rosenzweig, I. ; Khazaie, H. (Corresponding author) ; Tahmasian, M.

2019
Elsevier Kidlington, Oxford [u.a.]

This record in other databases:      

Please use a persistent id in citations: doi:10.1016/j.smrv.2019.03.008

Abstract: Sleep deprivation (SD) is a common problem in modern societies, which leads to cognitive dysfunctions includingattention lapses, impaired working memory, hindering decision making, impaired emotional processing, and motorvehicle accidents. Numerous neuroimaging studies have investigated the neural correlates of SD, but these studieshave reported inconsistent results. Thus, we aimed to identify convergent patterns of abnormal brain functions due toacute SD. Based on the preferred reporting for systematic reviews and meta-analyses statement, we searched thePubMed database and performed reference tracking and finally retrieved 31 eligible functional neuroimaging studies.Then, we applied activation estimation likelihood meta-analysis and found reduced activity mainly in the rightintraparietal sulcus and superior parietal lobule. The functional decoding analysis using the BrainMap databaseindicated that this region is mostly related to visuospatial perception, memory and reasoning. The significant coactivationof this region using the BrainMap database were found in the left superior parietal lobule, intraparietalsulcus, bilateral occipital cortex, left fusiform gyrus and thalamus. This region also connected with the superior parietallobule, intraparietal sulcus, insula, inferior frontal gyrus, precentral, occipital and cerebellum through resting-statefunctional connectivity in healthy subjects. Taken together, our findings highlight the role of superior parietal cortex inSD.

Note: This study was supported by Kermanshah University of Medical Sciences. Simon B. Eickhoff issupported by the Deutsche Forschungsgemeinschaft, the National Institute of Mental Health (R01-MH074457), the Helmholtz Portfolio Theme "Supercomputing and Modeling for the Human Brain" andthe European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No.7202070 (HBP SGA1). Ivana Rosenzweig was supported by the Wellcome Trust [103952/Z/14/Z].

---

Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)
2. Strukturelle und funktionelle Organisation des Gehirns (INM-1)

Research Program(s):

1. 571 - Connectivity and Activity (POF3-571) (POF3-571)
2. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)
3. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)

Appears in the scientific report 2019

---

Database coverage:
; Clarivate Analytics Master Journal List ; IF >= 10 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---