TY - JOUR
T1 - Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain
AU - Wang, Peng
AU - Kong, Ru
AU - Kong, Xiaolu
AU - Liégeois, Raphaël
AU - Orban, Csaba
AU - Deco, Gustavo
AU - Van Den Heuvel, Martijn P.
AU - Yeo, B. T.Thomas
PY - 2019/1/1
Y1 - 2019/1/1
N2 - We considered a large-scale dynamical circuit model of human cerebral cortex with region-specific microscale properties. The model was inverted using a stochastic optimization approach, yielding markedly better fit to new, out-of-sample resting functional magnetic resonance imaging (fMRI) data. Without assuming the existence of a hierarchy, the estimated model parameters revealed a large-scale cortical gradient. At one end, sensorimotor regions had strong recurrent connections and excitatory subcortical inputs, consistent with localized processing of external stimuli. At the opposing end, default network regions had weak recurrent connections and excitatory subcortical inputs, consistent with their role in internal thought. Furthermore, recurrent connection strength and subcortical inputs provided complementary information for differentiating the levels of the hierarchy, with only the former showing strong associations with other macroscale and microscale proxies of cortical hierarchies (meta-analysis of cognitive functions, principal resting fMRI gradient, myelin, and laminarspecific neuronal density). Overall, this study provides microscale insights into a macroscale cortical hierarchy in the dynamic resting brain.
AB - We considered a large-scale dynamical circuit model of human cerebral cortex with region-specific microscale properties. The model was inverted using a stochastic optimization approach, yielding markedly better fit to new, out-of-sample resting functional magnetic resonance imaging (fMRI) data. Without assuming the existence of a hierarchy, the estimated model parameters revealed a large-scale cortical gradient. At one end, sensorimotor regions had strong recurrent connections and excitatory subcortical inputs, consistent with localized processing of external stimuli. At the opposing end, default network regions had weak recurrent connections and excitatory subcortical inputs, consistent with their role in internal thought. Furthermore, recurrent connection strength and subcortical inputs provided complementary information for differentiating the levels of the hierarchy, with only the former showing strong associations with other macroscale and microscale proxies of cortical hierarchies (meta-analysis of cognitive functions, principal resting fMRI gradient, myelin, and laminarspecific neuronal density). Overall, this study provides microscale insights into a macroscale cortical hierarchy in the dynamic resting brain.
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U2 - 10.1126/sciadv.aat7854
DO - 10.1126/sciadv.aat7854
M3 - Article
C2 - 30662942
AN - SCOPUS:85060007884
SN - 1870-0462
VL - 21
JO - Tropical and Subtropical Agroecosystems
JF - Tropical and Subtropical Agroecosystems
IS - 3
M1 - eaat7854
ER -