The Relationship between Neurocircuitry Dysfunctions and Attention Deficit Hyperactivity Disorder: A Review

Zhu, Yuncheng; Yang, Daoliang; Ji, Weidong; Huang, Tianming; Xue, Lianxue; Jiang, Xu; Chen, Liangliang; Wang, Fang

doi:10.1155/2016/3821579

Cited by 31 publications

(21 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…41,42 The reduction in anterior cingulate gyrus grey matter volume in individuals with ADHD is significantly related to selective attention deficits. 43 These associations support the aforementioned discussion on the high discriminative power of the anterior cingulate gyrus and orbitofrontal cortex and are consistent with evidence of the prefrontalstriatal-cerebellar pathway involved in ADHD. 14 The present study has some limitations.…”

Section: Dovepresssupporting

confidence: 84%

<p>Differentiating Boys with ADHD from Those with Typical Development Based on Whole-Brain Functional Connections Using a Machine Learning Approach</p>

Sun¹,

Zhao²,

Lan³

et al. 2020

NDT

View full text Add to dashboard Cite

In recent years, machine learning techniques have received increasing attention as a promising approach to differentiating patients from healthy subjects. Therefore, some resting-state functional magnetic resonance neuroimaging (R-fMRI) studies have used interregional functional connections as discriminative features. The aim of this study was to investigate ADHD-related spatially distributed discriminative features derived from wholebrain resting-state functional connectivity patterns using machine learning. Patients and Methods: We measured the interregional functional connections of the R-fMRI data from 40 ADHD patients and 28 matched typically developing controls. Machine learning was used to discriminate ADHD patients from controls. Classification performance was assessed by permutation tests. Results: The results from the model with the highest classification accuracy showed that 85.3% of participants were correctly identified using leave-one-out cross-validation (LOOV) with support vector machine (SVM). The majority of the most discriminative functional connections were located within or between the cerebellum, default mode network (DMN) and frontoparietal regions. Approximately half of the most discriminative connections were associated with the cerebellum. The cerebellum, right superior orbitofrontal cortex, left olfactory cortex, left gyrus rectus, right superior temporal pole, right calcarine gyrus and bilateral inferior occipital cortex showed the highest discriminative power in classification. Regarding the brain-behaviour relationships, some functional connections between the cerebellum and DMN regions were significantly correlated with behavioural symptoms in ADHD (P < 0.05). Conclusion: This study indicated that whole-brain resting-state functional connections might provide potential neuroimaging-based information for clinically assisting the diagnosis of ADHD.

show abstract

Section: Dovepresssupporting

confidence: 84%

<p>Differentiating Boys with ADHD from Those with Typical Development Based on Whole-Brain Functional Connections Using a Machine Learning Approach</p>

Sun¹,

Zhao²,

Lan³

et al. 2020

NDT

View full text Add to dashboard Cite

show abstract

“…In patients with OCD, abnormalities of cortico-striatal circuits that involve the orbitofrontal cortex, anterior cingulate cortex, prefrontal cortices, temporo-parieto-occipital areas, thalamus, and the striatum have been suggested, 81,82 as well as impaired striatal connectivity. 83 In patients with ADHD, dysfunctions in the cortico-striatal-thalamo-cortical circuits, 84 changes in cortical thickness and gyrification, 85 changes in the serotonin transporter binding potential, 86 changes in callosal thickness, 87 and reduced gray matter volumes in various regions of the brain are seen. 88,89 In addition, the severity of ADHD and OCD symptoms probably has neuroanatomical correlates.…”

mentioning

confidence: 99%

Functional neuroimaging in Tourette syndrome: recent perspectives

Debes¹,

Préel²,

Skov³

2017

NAN

View full text Add to dashboard Cite

“…According to previous reports, lesions in the medial PFC cause alterations in the locomotor activity of rats (Jinks and McGregor, 1997;Fritts et al, 1998). Moreover, the NAcc and striatum (caudate putamen [CPu]) receive input from the PFC and are associated with locomotor activity and impulsivity (Moreno et al, 2013;Spencer et al, 2015;Scofield et al, 2016;Zhu et al, 2016;Dahoun et al, 2017). Hence, sections of PFC, NAcc, and CPu were subjected to gene expression and phospholipid analyses, and immunohistochemistry.…”

Section: Brain Sectionsmentioning

confidence: 99%

Change in Brain Plasmalogen Composition by Exposure to Prenatal Undernutrition Leads to Behavioral Impairment of Rats

et al. 2019

View full text Add to dashboard Cite

Epidemiological studies suggest that poor nutrition during pregnancy influences offspring predisposition to experience developmental and psychiatric disorders. Animal studies have shown that maternal undernutrition leads to behavioral impairment, which is linked to alterations in monoaminergic systems and inflammation in the brain. In this study, we focused on the ethanolamine plasmalogen of the brain as a possible contributor to behavioral disturbances observed in offspring exposed to maternal undernutrition. Maternal food or protein restriction between gestational day (GD) 5.5 and GD 10.5 resulted in hyperactivity of rat male adult offspring. Genes related to the phospholipid biosynthesis were found to be activated in the PFC, but not in the NAcc or striatum, in the offspring exposed to prenatal undernutrition. Corresponding to these gene activations, increased ethanolamine plasmalogen (18:0p-22:6) was observed in the PFC using mass spectrometry imaging. A high number of crossings and the long time spent in the center area were observed in the offspring exposed to prenatal undernutrition and were mimicked in adult rats via the intravenous injection of ethanolamine plasmalogen (18:0p-22:6) incorporated into the liposome. Additionally, plasmalogen (18:0p-22:6) increased only in the PFC, and not in the NAcc or striatum. These results suggest that brain plasmalogen is one of the key molecules to control behavior, and its injection using liposome is a potential therapeutic approach for cognitive impairment.

show abstract

The Relationship between Neurocircuitry Dysfunctions and Attention Deficit Hyperactivity Disorder: A Review

Cited by 31 publications

References 60 publications

<p>Differentiating Boys with ADHD from Those with Typical Development Based on Whole-Brain Functional Connections Using a Machine Learning Approach</p>

<p>Differentiating Boys with ADHD from Those with Typical Development Based on Whole-Brain Functional Connections Using a Machine Learning Approach</p>

Functional neuroimaging in Tourette syndrome: recent perspectives

Change in Brain Plasmalogen Composition by Exposure to Prenatal Undernutrition Leads to Behavioral Impairment of Rats

Contact Info

Product

Resources

About