Default Mode Network and ADHD

 


ADHD

"Some neural networks take longer to develop or may be less efficient in kids with ADHD. One example is the “default mode network.” It plays a key role in resting the brain. In kids with ADHD, the brain takes longer to “switch off” activity in the default mode network when they need to focus on something. ADHD affects other pathways too, like the fronto-parietal network. It plays a key role in making decisions and learning new tasks. (That’s why it’s often called the “executive control circuit.”) Differences in this and other neural networks may help explain ADHD symptoms like mind-wandering and trouble with impulse control."


"Default mode network (DMN) dysfunction is theorized to play a role in attention lapses and task errors in children with attention-deficit/hyperactivity disorder (ADHD). In ADHD, the DMN is hyperconnected to task-relevant networks, and both increased functional connectivity and reduced activation are related to poor task performance." 



Default Mode Network: What Is It & How Does It Impact ADHD? (additudemag.com)


The Default Mode Network and ADHD | The Lab School


Increased integration between default mode and task-relevant networks in children with ADHD is associated with impaired response control - ScienceDirect


The Default Mode Network and ADHD - LA Concierge Psychologist


Interactions between attention-grabbing brain networks weak in ADHD | News Center | Stanford Medicine


"Attention-deficit hyperactivity disorder (ADHD) is associated with pervasive impairments in attention and cognitive control. Although brain circuits underlying these impairments have been extensively investigated with resting-state fMRI, little is known about task-evoked functional brain circuits and their relation to cognitive control deficits and inattention symptoms in children with ADHD. Children with ADHD and age, gender and head motion matched typically developing (TD) children completed a Go/NoGo fMRI task. We used multivariate and dimensional analyses to investigate impairments in two core cognitive control systems: (i) cingulo-opercular “salience” network (SN) anchored in the right anterior insula, dorsal anterior cingulate cortex (rdACC), and ventrolateral prefrontal cortex (rVLPFC) and (ii) dorsal frontoparietal “central executive” (FPN) network anchored in right dorsolateral prefrontal cortex (rDLPFC) and posterior parietal cortex (rPPC). We found that multivariate patterns of task-evoked effective connectivity between brain regions in SN and FPN distinguished the ADHD and TD groups, with rDLPFC–rPPC connectivity emerging as the most distinguishing link. Task-evoked rdACC–rVLPFC connectivity was positively correlated with NoGo accuracy, and negatively correlated with severity of inattention symptoms. Brain–behavior relationships were robust against potential age, gender, and head motion confounds. Our findings highlight aberrancies in task-evoked modulation of SN and FPN connectivity in children with ADHD. Crucially, cingulo-frontal connectivity was a common locus of deficits in cognitive control and clinical measures of inattention symptoms. Our study provides insights into a parsimonious systems neuroscience model of cognitive control deficits in ADHD, and suggests specific circuit biomarkers for predicting treatment outcomes in childhood ADHD."

Inhibition-related modulation of salience and frontoparietal networks predicts cognitive control ability and inattention symptoms in children with ADHD | Molecular Psychiatry (nature.com)

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