<p>Binary small worldness across the 5 levels of connectivity fraction threshold used in this study. The ratio was computed from the connectivity pattern from which the top ranked graph out of the 12 graphs selected by BDopt classification based on global CNA measures was derived. As reported previously by several studies, patients are characterized by a reduced small worldness indicating compromised network efficiency. * <i>p</i><0.05 ** <i>p</i><0.01 (uncorrected for number of graphs).</p
<div><p>Evidence from imaging studies suggests that the human brain has a small-world network topolo...
Graph theory deterministically models networks as sets of vertices, which are linked by connections....
Graph theory deterministically models networks as sets of vertices, which are linked by connections....
Objectives: One of the most prominent features of schizophrenia is relatively lower general cognitiv...
Objectives: One of the most prominent features of schizophrenia is relatively lower general cognitiv...
Functional network connectivity is a method of analyzing the temporal relationship of anatomical bra...
Summarization: Disturbances in “functional connectivity” have been proposed as a major pathophysiolo...
Functional network connectivity (FNC) is a method of analyzing the temporal relationship of anatomic...
Functional network connectivity (FNC) is a method of analyzing the temporal relationship of anatomic...
<p>(A) Statistical significance of lower graph theory measures for 69 schizophrenia patients than fo...
The human brain has been described as a large, sparse, complex network characterized by efficient sm...
Graph theory deterministically models networks as sets of vertices, which are linked by connections....
The human brain has been described as a large, sparse, complex network characterized by efficient sm...
<div><p>Graph theory deterministically models networks as sets of vertices, which are linked by conn...
BACKGROUND: Previous research has shown that the human brain can be represented as a complex functio...
<div><p>Evidence from imaging studies suggests that the human brain has a small-world network topolo...
Graph theory deterministically models networks as sets of vertices, which are linked by connections....
Graph theory deterministically models networks as sets of vertices, which are linked by connections....
Objectives: One of the most prominent features of schizophrenia is relatively lower general cognitiv...
Objectives: One of the most prominent features of schizophrenia is relatively lower general cognitiv...
Functional network connectivity is a method of analyzing the temporal relationship of anatomical bra...
Summarization: Disturbances in “functional connectivity” have been proposed as a major pathophysiolo...
Functional network connectivity (FNC) is a method of analyzing the temporal relationship of anatomic...
Functional network connectivity (FNC) is a method of analyzing the temporal relationship of anatomic...
<p>(A) Statistical significance of lower graph theory measures for 69 schizophrenia patients than fo...
The human brain has been described as a large, sparse, complex network characterized by efficient sm...
Graph theory deterministically models networks as sets of vertices, which are linked by connections....
The human brain has been described as a large, sparse, complex network characterized by efficient sm...
<div><p>Graph theory deterministically models networks as sets of vertices, which are linked by conn...
BACKGROUND: Previous research has shown that the human brain can be represented as a complex functio...
<div><p>Evidence from imaging studies suggests that the human brain has a small-world network topolo...
Graph theory deterministically models networks as sets of vertices, which are linked by connections....
Graph theory deterministically models networks as sets of vertices, which are linked by connections....