| Title |
Associations between the mismatch-negativity component and symptom severity in children and adolescents with attention deficit/hyperactivity disorder
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, December 2016
|
| DOI | 10.2147/ndt.s120540 |
| Pubmed ID | |
| Authors |
Kazuhiko Yamamuro, Toyosaku Ota, Junzo Iida, Yoko Nakanishi, Naoko Kishimoto, Toshifumi Kishimoto |
| Abstract |
Cognitive impairment is an important predictor of functional outcome in patients with attention deficit/hyperactivity disorder (ADHD). However, the neurophysiology of ADHD-related cognitive impairments remains unclear. Event-related potentials (ERPs) represent the noninvasive measurement of neural correlates of cognitive function. Mismatch negativity (MMN) is an ERP component that is presumed to index the preattentive monitoring of changes in the auditory environment. Previous studies have shown altered MMN amplitude and latency in patients with ADHD. However, little is known about the relationship between MMN and ADHD-symptom severity. To address this, we measured the amplitude and latency of MMN in ERPs and assessed correlations with the clinical severity of ADHD, as measured by the ADHD Rating Scale IV - Japanese version. Participants were 51 treatment-naïve children and adolescents with ADHD (mean age 10.42±3.35 years) and 15 normally developing age- and sex-matched children (mean age 11.8±3.36 years). In the ADHD group, MMN amplitudes were attenuated at the central electrode and MMN latencies prolonged at the parietal electrode (Pz) relative to those in the control group. Furthermore, MMN amplitudes at Pz were negatively correlated with ADHD full-scale and hyperactivity-impulsivity and inattention subscale scores, and MMN latency at Pz was positively correlated with ADHD hyperactivity-impulsivity subscale scores. Our data suggest that MMN reflects the severity of ADHD symptoms in children and adolescents, and provides support for the use of ERPs in evaluating ADHD symptoms in patients. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 10 | 22% |
| Student > Ph. D. Student | 9 | 20% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 14 | 31% |
| Psychology | 11 | 24% |
| Medicine and Dentistry | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 10 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2016.
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#20,110,957
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Outputs from Neuropsychiatric Disease and Treatment
#2,171
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#299,126
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Outputs of similar age from Neuropsychiatric Disease and Treatment
#41
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