The network theory of mental disorders conceptualizes psychiatric symptoms as networks of symptoms that causally interact with each other. Our present study aimed to explore the symptomatic structure in children with attention-deficit/hyperactivity disorder (ADHD) using network analyses. Symptom network based on 18 items of ADHD Rating Scale-IV was evaluated in 4,033 children and adolescents with ADHD. The importance of nodes was evaluated quantitatively by examining centrality indices, including Strength, Betweenness and Closeness, as well as Predictability and Expected Influence (EI). In addition, we compared the network structure across different subgroups, as characterized by ADHD subtypes, gender and age groups to evaluate its invarian...
The association network for (a) all ADHD participants, and (b) thresholded with only edges that surv...
Background Attention‐deficit/hyperactivity disorder (ADHD) is one of the most prevalent psychiatric...
OBJECTIVE: Multisource longitudinal network analysis was used to determine if between-child and with...
The network theory of mental disorders conceptualizes psychiatric symptoms as networks of symptoms t...
The network theory of mental disorders conceptualizes psychiatric symptoms as networks of symptoms t...
In interpreting attention-deficit/hyperactivity disorder (ADHD) symptoms, categorical and dimensiona...
In interpreting attention-deficit/hyperactivity disorder (ADHD) symptoms, categorical and dimensiona...
In interpreting attention-deficit/hyperactivity disorder (ADHD) symptoms, categorical and dimensiona...
Although there is substantial support for the validity of the diagnosis of attention-deficit/hyperac...
The heterogeneous presentation of inattentive and hyperactive-impulsive core symptoms in attention d...
Attention-deficit/hyperactivity disorder (ADHD) is characterized by inattention, hyperactivity and i...
Attention-deficit/hyperactivity disorder (ADHD) is a clinically heterogeneous condition and identifi...
<div><p>Attention-deficit/hyperactivity disorder (ADHD) is a clinically heterogeneous condition and ...
Accumulating evidence suggests brain network dysfunction in attention-deficit/hyperactivity disorder...
Attention deficit hyperactivity disorder (ADHD) is a pervasive neuropsychological disorder that affe...
The association network for (a) all ADHD participants, and (b) thresholded with only edges that surv...
Background Attention‐deficit/hyperactivity disorder (ADHD) is one of the most prevalent psychiatric...
OBJECTIVE: Multisource longitudinal network analysis was used to determine if between-child and with...
The network theory of mental disorders conceptualizes psychiatric symptoms as networks of symptoms t...
The network theory of mental disorders conceptualizes psychiatric symptoms as networks of symptoms t...
In interpreting attention-deficit/hyperactivity disorder (ADHD) symptoms, categorical and dimensiona...
In interpreting attention-deficit/hyperactivity disorder (ADHD) symptoms, categorical and dimensiona...
In interpreting attention-deficit/hyperactivity disorder (ADHD) symptoms, categorical and dimensiona...
Although there is substantial support for the validity of the diagnosis of attention-deficit/hyperac...
The heterogeneous presentation of inattentive and hyperactive-impulsive core symptoms in attention d...
Attention-deficit/hyperactivity disorder (ADHD) is characterized by inattention, hyperactivity and i...
Attention-deficit/hyperactivity disorder (ADHD) is a clinically heterogeneous condition and identifi...
<div><p>Attention-deficit/hyperactivity disorder (ADHD) is a clinically heterogeneous condition and ...
Accumulating evidence suggests brain network dysfunction in attention-deficit/hyperactivity disorder...
Attention deficit hyperactivity disorder (ADHD) is a pervasive neuropsychological disorder that affe...
The association network for (a) all ADHD participants, and (b) thresholded with only edges that surv...
Background Attention‐deficit/hyperactivity disorder (ADHD) is one of the most prevalent psychiatric...
OBJECTIVE: Multisource longitudinal network analysis was used to determine if between-child and with...