Memory for context and episodicmemory have been identified as primary contributors to cognitive impairments in schizophrenia. This study examined neural networks involved in episodic memory-for-context in schizophrenia using a multimodal strategy including a graph theoretical approach, combinedwith an assessment of the contribution of structural impairments to disruption in the efficiency of functional brainnetworks.Twenty-threepatientswith schizophrenia and33healthy controlsperformedanepisodicmemory-for-context task while undergoing functionalmagnetic resonance imaging scanning. Graph theory was used to characterize the small-world proper-ties of functional connections between activated regions, and a morphometric analysis was used to inve...
Growing evidence suggests that coordinated activity within specific functional brain networks suppor...
Task-based connectivity studies facilitate the understanding of how the brain functions during cogni...
Computational modeling of functional brain networks in fMRI data has advanced the understanding of h...
Summarization: Disturbances in “functional connectivity” have been proposed as a major pathophysiolo...
The human brain has been described as a large, sparse, complex network characterized by efficient sm...
Cognitive control is a cognitive and neural mechanism that contributes to managing the complex deman...
Schizophrenia is a severe psychiatric disorder with complex neural mechanisms. Previous functional m...
Growing evidence suggests that coordinated activity within specific functional brain networks suppor...
Schizophrenia is characterized by lowered efficiency in distributed information processing, as indic...
Schizophrenia has been understood as a network disease with altered functional and structural connec...
Impairment in language association and detriments in executive functioning are characteristic featur...
Schizophrenia has often been conceived as a disorder of connectivity between components of large-sca...
Functional neuroimaging studies on cognitive dysfunction in schizophrenia have suggested regional br...
Schizophrenia is a complex chronic mental illness that is characterized by positive, negative and co...
Working memory (WM), defined as actively holding and/or manipulating information in mind, is central...
Growing evidence suggests that coordinated activity within specific functional brain networks suppor...
Task-based connectivity studies facilitate the understanding of how the brain functions during cogni...
Computational modeling of functional brain networks in fMRI data has advanced the understanding of h...
Summarization: Disturbances in “functional connectivity” have been proposed as a major pathophysiolo...
The human brain has been described as a large, sparse, complex network characterized by efficient sm...
Cognitive control is a cognitive and neural mechanism that contributes to managing the complex deman...
Schizophrenia is a severe psychiatric disorder with complex neural mechanisms. Previous functional m...
Growing evidence suggests that coordinated activity within specific functional brain networks suppor...
Schizophrenia is characterized by lowered efficiency in distributed information processing, as indic...
Schizophrenia has been understood as a network disease with altered functional and structural connec...
Impairment in language association and detriments in executive functioning are characteristic featur...
Schizophrenia has often been conceived as a disorder of connectivity between components of large-sca...
Functional neuroimaging studies on cognitive dysfunction in schizophrenia have suggested regional br...
Schizophrenia is a complex chronic mental illness that is characterized by positive, negative and co...
Working memory (WM), defined as actively holding and/or manipulating information in mind, is central...
Growing evidence suggests that coordinated activity within specific functional brain networks suppor...
Task-based connectivity studies facilitate the understanding of how the brain functions during cogni...
Computational modeling of functional brain networks in fMRI data has advanced the understanding of h...