TY - JOUR
T1 - Brain network connectivity in individuals with schizophrenia and their siblings
AU - Repovs, Grega
AU - Csernansky, John G.
AU - Barch, Deanna M.
N1 - Funding Information:
This research was supported by National Institutes of Health Grants P50 MH071616 and R01 MH56584 .
Funding Information:
Dr. Barch has received grants from the National Institute of Mental Health , National Institute on Aging , National Alliance for Research on Schizophrenia and Depression , Allon , Novartis , and the McDonnell Center for Systems Neuroscience . Dr. Csernansky has received research grants from the National Institute of Mental Health and National Institute on Aging and receives honoraria for serving on data monitoring committees for Eli Lilly and Sanofi-Aventis. Dr. Repovs is a consultant on National Institute of Mental Health grants.
PY - 2011/5/15
Y1 - 2011/5/15
N2 - Background Research on brain activity in schizophrenia has shown that changes in the function of any single region cannot explain the range of cognitive and affective impairments in this illness. Rather, neural circuits that support sensory, cognitive, and emotional processes are now being investigated as substrates for cognitive and affective impairments in schizophrenia, a shift in focus consistent with long-standing hypotheses about schizophrenia as a disconnection syndrome. Our goal was to further examine alterations in functional connectivity within and between the default mode network and three cognitive control networks (frontal-parietal, cingulo-opercular, and cerebellar) as a basis for such impairments. Methods Resting state functional magnetic resonance imaging was collected from 40 individuals with DSM-IV-TR schizophrenia, 31 siblings of individuals with schizophrenia, 15 healthy control subjects, and 18 siblings of healthy control subjects while they rested quietly with their eyes closed. Connectivity metrics were compared between patients and control subjects for both within- and between-network connections and were used to predict clinical symptoms and cognitive function. Results Individuals with schizophrenia showed reduced distal and somewhat enhanced local connectivity between the cognitive control networks compared with control subjects. Additionally, greater connectivity between the frontal-parietal and cerebellar regions was robustly predictive of better cognitive performance across groups and predictive of fewer disorganization symptoms among patients. Conclusions These results are consistent with the hypothesis that impairments of executive function and cognitive control result from disruption in the coordination of activity across brain networks and additionally suggest that these might reflect impairments in normal pattern of brain connectivity development.
AB - Background Research on brain activity in schizophrenia has shown that changes in the function of any single region cannot explain the range of cognitive and affective impairments in this illness. Rather, neural circuits that support sensory, cognitive, and emotional processes are now being investigated as substrates for cognitive and affective impairments in schizophrenia, a shift in focus consistent with long-standing hypotheses about schizophrenia as a disconnection syndrome. Our goal was to further examine alterations in functional connectivity within and between the default mode network and three cognitive control networks (frontal-parietal, cingulo-opercular, and cerebellar) as a basis for such impairments. Methods Resting state functional magnetic resonance imaging was collected from 40 individuals with DSM-IV-TR schizophrenia, 31 siblings of individuals with schizophrenia, 15 healthy control subjects, and 18 siblings of healthy control subjects while they rested quietly with their eyes closed. Connectivity metrics were compared between patients and control subjects for both within- and between-network connections and were used to predict clinical symptoms and cognitive function. Results Individuals with schizophrenia showed reduced distal and somewhat enhanced local connectivity between the cognitive control networks compared with control subjects. Additionally, greater connectivity between the frontal-parietal and cerebellar regions was robustly predictive of better cognitive performance across groups and predictive of fewer disorganization symptoms among patients. Conclusions These results are consistent with the hypothesis that impairments of executive function and cognitive control result from disruption in the coordination of activity across brain networks and additionally suggest that these might reflect impairments in normal pattern of brain connectivity development.
KW - Cerebellum
KW - cognitive control
KW - functional connectivity
KW - risk
KW - schizophrenia
UR - http://www.scopus.com/inward/record.url?scp=79955466832&partnerID=8YFLogxK
U2 - 10.1016/j.biopsych.2010.11.009
DO - 10.1016/j.biopsych.2010.11.009
M3 - Article
C2 - 21193174
AN - SCOPUS:79955466832
SN - 0006-3223
VL - 69
SP - 967
EP - 973
JO - Biological Psychiatry
JF - Biological Psychiatry
IS - 10
ER -