TY - JOUR
T1 - Schizophrenia is associated with a pattern of spatial working memory deficits consistent with cortical disinhibition
AU - Starc, Martina
AU - Murray, John D.
AU - Santamauro, Nicole
AU - Savic, Aleksandar
AU - Diehl, Caroline
AU - Cho, Youngsun T.
AU - Srihari, Vinod
AU - Morgan, Peter T.
AU - Krystal, John H.
AU - Wang, Xiao Jing
AU - Repovs, Grega
AU - Anticevic, Alan
N1 - Funding Information:
Financial support for this study was provided by the National Institutes of Health (NIH) grants DP5OD012109-03 (PI: AA), R01MH103831-01 (PI: VHS), and R01-MH062349 (to X-J.W. & J.D.M.), the National Alliance for Research on Schizophrenia and Depression (PI: AA), the Fulbright Foundation (AS), and the Yale Center for Clinical Investigation (PI: AA).
Funding Information:
Financial support was provided by National Institutes of Health Grants DP50D012109-03 [to A.A., PI (principal investigator)] and the NARSAD Young Investigator Grant [A.A., PI]. The funding source had no further role in the current study with regard to data collection, data analysis and interpretation of findings or in manuscript preparation and the submission decision.
Publisher Copyright:
© 2016
PY - 2017/3/1
Y1 - 2017/3/1
N2 - Schizophrenia is associated with severe cognitive deficits, including impaired working memory (WM). A neural mechanism that may contribute to WM impairment is the disruption in excitation-inhibition (E/I) balance in cortical microcircuits. It remains unknown, however, how these alterations map onto quantifiable behavioral deficits in patients. Based on predictions from a validated microcircuit model of spatial WM, we hypothesized two key behavioral consequences: i) increased variability of WM traces over time, reducing performance precision; and ii) decreased ability to filter out distractors that overlap with WM representations. To test model predictions, we studied N = 27 schizophrenia patients and N = 28 matched healthy comparison subjects (HCS) who performed a spatial WM task designed to test the computational model. Specifically, we manipulated delay duration and distractor distance presented during the delay. Subjects used a high-sensitivity joystick to indicate the remembered location, yielding a continuous response measure. Results largely followed model predictions, whereby patients exhibited increased variance and less WM precision as the delay period increased relative to HCS. Schizophrenia patients also exhibited increased WM distractibility, with reports biased toward distractors at specific spatial locations, as predicted by the model. Finally, the magnitude of the WM drift and distractibility were significantly correlated, indicating a possibly shared underlying mechanism. Effects are consistent with elevated E/I ratio in schizophrenia, establishing a framework for translating neural circuit computational model of cognition to human experiments, explicitly testing mechanistic behavioral hypotheses of cellular-level neural deficits in patients.
AB - Schizophrenia is associated with severe cognitive deficits, including impaired working memory (WM). A neural mechanism that may contribute to WM impairment is the disruption in excitation-inhibition (E/I) balance in cortical microcircuits. It remains unknown, however, how these alterations map onto quantifiable behavioral deficits in patients. Based on predictions from a validated microcircuit model of spatial WM, we hypothesized two key behavioral consequences: i) increased variability of WM traces over time, reducing performance precision; and ii) decreased ability to filter out distractors that overlap with WM representations. To test model predictions, we studied N = 27 schizophrenia patients and N = 28 matched healthy comparison subjects (HCS) who performed a spatial WM task designed to test the computational model. Specifically, we manipulated delay duration and distractor distance presented during the delay. Subjects used a high-sensitivity joystick to indicate the remembered location, yielding a continuous response measure. Results largely followed model predictions, whereby patients exhibited increased variance and less WM precision as the delay period increased relative to HCS. Schizophrenia patients also exhibited increased WM distractibility, with reports biased toward distractors at specific spatial locations, as predicted by the model. Finally, the magnitude of the WM drift and distractibility were significantly correlated, indicating a possibly shared underlying mechanism. Effects are consistent with elevated E/I ratio in schizophrenia, establishing a framework for translating neural circuit computational model of cognition to human experiments, explicitly testing mechanistic behavioral hypotheses of cellular-level neural deficits in patients.
KW - Cognitive deficits
KW - Computational modeling
KW - Disinhibition
KW - Excitation/inhibition balance
KW - Schizophrenia
KW - Working memory
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U2 - 10.1016/j.schres.2016.10.011
DO - 10.1016/j.schres.2016.10.011
M3 - Article
C2 - 27745755
AN - SCOPUS:84994468187
SN - 0920-9964
VL - 181
SP - 107
EP - 116
JO - Schizophrenia Research
JF - Schizophrenia Research
ER -