PMID- 36151201
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220928
IS  - 2754-6993 (Electronic)
IS  - 2754-6993 (Linking)
VI  - 8
IP  - 1
DP  - 2022 Sep 23
TI  - Network hub centrality and working memory performance in schizophrenia.
PG  - 76
LID - 10.1038/s41537-022-00288-y [doi]
LID - 76
AB  - Cognitive impairment, and working memory deficits in particular, are 
      debilitating, treatment-resistant aspects of schizophrenia. Dysfunction of brain 
      network hubs, putatively related to altered neurodevelopment, is thought to 
      underlie the cognitive symptoms associated with this illness. Here, we used 
      weighted degree, a robust graph theory metric representing the number of weighted 
      connections to a node, to quantify centrality in cortical hubs in 29 patients 
      with schizophrenia and 29 age- and gender-matched healthy controls and identify 
      the critical nodes that underlie working memory performance. In both patients and 
      controls, elevated weighted degree in the default mode network (DMN) was 
      generally associated with poorer performance (accuracy and reaction time). Higher 
      degree in the ventral attention network (VAN) nodes in the right superior 
      temporal cortex was associated with better performance (accuracy) in patients. 
      Degree in several prefrontal and parietal areas was associated with cognitive 
      performance only in patients. In regions that are critical for sustained 
      attention, these correlations were primarily driven by between-network 
      connectivity in patients. Moreover, a cross-validated prediction analysis showed 
      that a linear model using a summary degree score can be used to predict an 
      individual's working memory accuracy (r = 0.35). Our results suggest that 
      schizophrenia is associated with dysfunctional hubs in the cortical systems 
      supporting internal and external cognition and highlight the importance of 
      topological network analysis in the search of biomarkers for cognitive deficits 
      in schizophrenia.
CI  - (c) 2022. The Author(s).
FAU - Eryilmaz, Hamdi
AU  - Eryilmaz H
AD  - Department of Psychiatry, Massachusetts General Hospital and Harvard Medical 
      School, Charlestown, MA, 02129, USA. hamdi.eryilmaz@mgh.harvard.edu.
FAU - Pax, Melissa
AU  - Pax M
AD  - Department of Psychiatry, Massachusetts General Hospital and Harvard Medical 
      School, Charlestown, MA, 02129, USA.
FAU - O'Neill, Alexandra G
AU  - O'Neill AG
AD  - Department of Psychiatry, Massachusetts General Hospital and Harvard Medical 
      School, Charlestown, MA, 02129, USA.
FAU - Vangel, Mark
AU  - Vangel M
AD  - Department of Radiology, Massachusetts General Hospital and Harvard Medical 
      School, Charlestown, MA, 02129, USA.
FAU - Diez, Ibai
AU  - Diez I
AD  - Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General 
      Hospital and Harvard Medical School, Charlestown, MA, 02129, USA.
FAU - Holt, Daphne J
AU  - Holt DJ
AD  - Department of Psychiatry, Massachusetts General Hospital and Harvard Medical 
      School, Charlestown, MA, 02129, USA.
FAU - Camprodon, Joan A
AU  - Camprodon JA
AD  - Department of Psychiatry, Massachusetts General Hospital and Harvard Medical 
      School, Charlestown, MA, 02129, USA.
FAU - Sepulcre, Jorge
AU  - Sepulcre J
AD  - Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General 
      Hospital and Harvard Medical School, Charlestown, MA, 02129, USA.
FAU - Roffman, Joshua L
AU  - Roffman JL
AD  - Department of Psychiatry, Massachusetts General Hospital and Harvard Medical 
      School, Charlestown, MA, 02129, USA.
LA  - eng
GR  - K23 MH084059/MH/NIMH NIH HHS/United States
GR  - K01MH116369/U.S. Department of Health & Human Services | National Institutes of 
      Health (NIH)/
GR  - R01 AG061811/AG/NIA NIH HHS/United States
GR  - K23MH084059/U.S. Department of Health & Human Services | National Institutes of 
      Health (NIH)/
GR  - R01AG061445/U.S. Department of Health & Human Services | National Institutes of 
      Health (NIH)/
GR  - K01 MH116369/MH/NIMH NIH HHS/United States
GR  - R01 MH101425/MH/NIMH NIH HHS/United States
GR  - R01MH101425/U.S. Department of Health & Human Services | National Institutes of 
      Health (NIH)/
GR  - S10 RR023401/RR/NCRR NIH HHS/United States
GR  - R01AG061811/U.S. Department of Health & Human Services | National Institutes of 
      Health (NIH)/
GR  - R01 AG061445/AG/NIA NIH HHS/United States
PT  - Journal Article
DEP - 20220923
PL  - Germany
TA  - Schizophrenia (Heidelb)
JT  - Schizophrenia (Heidelberg, Germany)
JID - 9918367987006676
PMC - PMC9508261
COIS- The authors declare no competing interests.
EDAT- 2022/09/24 06:00
MHDA- 2022/09/24 06:01
PMCR- 2022/09/23
CRDT- 2022/09/23 23:23
PHST- 2022/05/13 00:00 [received]
PHST- 2022/09/12 00:00 [accepted]
PHST- 2022/09/23 23:23 [entrez]
PHST- 2022/09/24 06:00 [pubmed]
PHST- 2022/09/24 06:01 [medline]
PHST- 2022/09/23 00:00 [pmc-release]
AID - 10.1038/s41537-022-00288-y [pii]
AID - 288 [pii]
AID - 10.1038/s41537-022-00288-y [doi]
PST - epublish
SO  - Schizophrenia (Heidelb). 2022 Sep 23;8(1):76. doi: 10.1038/s41537-022-00288-y.