The structural connectome in ADHD.
Xuan BuMiao CaoXiaoqi HuangYong HePublished in: Psychoradiology (2021)
Attention-deficit/hyperactivity disorder (ADHD) has been conceptualized as a brain dysconnectivity disorder. In the past decade, noninvasive diffusion magnetic resonance imaging (dMRI) studies have demonstrated that individuals with ADHD have alterations in the white matter structural connectome, and that these alterations are associated with core symptoms and cognitive deficits in patients. This review aims to summarize recent dMRI-based structural connectome studies in ADHD from voxel-, tractography-, and network-based perspectives. Voxel- and tractography-based studies have demonstrated disrupted microstructural properties predominantly located in the frontostriatal tracts, the corpus callosum, the corticospinal tracts, and the cingulum bundle in patients with ADHD. Network-based studies have suggested abnormal global and local efficiency as well as nodal properties in the prefrontal and parietal regions in the ADHD structural connectomes. The altered structural connectomes in those with ADHD provide significant signatures for prediction of symptoms and diagnostic classification. These studies suggest that abnormalities in the structural connectome may be one of the neural underpinnings of ADHD psychopathology and show potential for establishing imaging biomarkers in clinical evaluation. However, given that there are inconsistent findings across studies due to sample heterogeneity and analysis method variations, these ADHD-related white matter alterations are still far from informing clinical practice. Future studies with larger and more homogeneous samples are needed to validate the consistency of current results; advanced dMRI techniques can help to generate much more precise estimation of white matter pathways and assure specific fiber configurations; and finally, dimensional analysis frameworks can deepen our understanding of the neurobiology underlying ADHD.
Keyphrases
- attention deficit hyperactivity disorder
- white matter
- autism spectrum disorder
- working memory
- case control
- magnetic resonance imaging
- multiple sclerosis
- resting state
- machine learning
- functional connectivity
- prognostic factors
- dna methylation
- clinical practice
- end stage renal disease
- chronic kidney disease
- computed tomography
- neoadjuvant chemotherapy
- blood brain barrier
- squamous cell carcinoma
- climate change
- gene expression
- photodynamic therapy
- drug induced
- cerebral ischemia