Age and sex effects in the EEG: differences in two subtypes of attention-deficit/hyperactivity disorder
Introduction
Even though there have been significant changes made to the diagnostic criteria for attention-deficit/hyperactivity disorder (ADHD), there is still considerable disagreement regarding its aetiology. Two main developmental models of ADHD have been proposed, based primarily on results from electrophysiological studies. The first model proposes that the behavioural symptoms result from a maturational lag in the central nervous system. EEG studies of children with ADHD have typically found an increase in slow wave activity, primarily in the theta band, compared with normal control subjects (Capute et al., 1968, Wikler et al., 1970, Satterfield et al., 1973b, Lazzaro et al., 1998). Mann et al. (1992) found that children with ADHD had an increase in theta activity in frontal and central regions, and a decrease in beta activity in posterior and temporal regions during cognitive tasks. From these results, Mann et al. (1992) concluded that ADHD reflects a maturational delay in the systems that subserve attention. Clarke et al. (1998) investigated EEG differences between children with the combined (ADHDcom), and inattentive (ADHDin) subtypes of ADHD, and control subjects, during an eyes-closed resting condition. The two ADHD groups had increased levels of absolute and relative theta and decreased levels of relative alpha and beta. In posterior regions, relative delta estimates were elevated compared with the control group. All of these results were considered supportive of the maturational lag model.
A second model of ADHD proposes that ADHD represents a deviation from normal development. Chabot and Serfontein (1996) found that children with ADD (using DSM-III criteria) had an increase in absolute and relative theta, with the greatest increase being found in frontal regions and at the midline. From these results, it was concluded that the EEG patterns represented a deviation from normal development, as the obtained results were not typical of a normal child of any age (John et al., 1988, John et al., 1983).
To further clarify the underlying nature of the EEG found in children with ADHD, Clarke et al. (2001b) used ratio coefficients between frequency bands (Matousek and Petersen, 1973, Janzen et al., 1995, Lubar, 1991) and measures of the mean frequency (Matsuura et al., 1993, Katada et al., 1981) within frequency bands. Clarke et al. (2001b) found that the theta/alpha and theta/beta ratios had greater coefficients in the two clinical groups. In the alpha and beta bands, the ADHD groups had a lower mean frequency than controls. In the comparison of the lower frequency bands, the control subjects had lower mean frequencies in the delta band and lower coefficients for the delta/theta ratio. These results suggest that in the ADHD groups, there is a shift in the EEG at both ends of the spectrum, towards the theta frequency range, which does not support the maturational lag model.
The limitation of most of these studies is that they have used measures from children at one age and interpreted their results based on the developmental literature for normal children without investigating changes in the EEG with age. Another area that has not been adequately investigated within the ADHD literature is the existence of sex differences within this population. The ratio of boys to girls with ADHD has been estimated at approximately 4:1 for all 3 DSM-IV subtypes (De Quiros et al., 1994), and this sex difference has been cited as the major reason for the lack of female studies of ADHD within the literature (Arnold, 1996). The results of studies are varied, though they tend to suggest that childhood disorders are generally more prevalent among males, but more severe in females (Eme, 1992). Compared with boys with ADHD, ADHD girls display greater intellectual impairment and lower rates of hyperactivity and other externalizing behaviours (Gaub and Carlson, 1997). Within the EEG literature, no studies have investigated EEG abnormalities in girls with ADHD.
This study aimed to investigate age-related differences in the EEG of children with ADHD and to determine: (1), if changes occur in a similar manner to normal children; and (2), if changes in the EEG of the inattentive and combined subtypes of the disorder are similar. An additional aim was to investigate whether EEG differences exist between boys and girls with ADHD.
Section snippets
Subjects
Three groups of 80 children, with 40 boys and 40 girls in each group, were included in this study. All children were between the ages of 8 and 12 years and right handed and footed. Subjects had a full-scale WISC-III IQ score of 85 or higher. The groups used were children diagnosed with ADHDcom or ADHDin, and a control group. Both clinical groups of children were drawn from new patients presenting at a Sydney-based paediatric practice for an assessment for ADHD. Consecutive patients were used as
Group differences
A summary of significant group differences is shown in Table 1, Table 2 lists the means and SDs for each of the ADHD groups, by region. The two ADHD groups had greater total power, absolute delta, theta, relative theta, and theta/alpha and theta/beta ratios than the control group (see Fig. 1, Fig. 2). In relative alpha and beta, the ADHD groups had less power than the control group. The difference between the ADHD groups and the control group was maximal in the posterior regions for relative
Discussion
Children with ADHD have been found to have elevated EEG slow wave activity when compared with normal children (Satterfield et al., 1973a, Capute et al., 1968, Satterfield and Cantwell, 1974). Chabot and Serfontein (1996) found that children with ADHD had an increase in absolute and relative theta, with the greatest increase being found in frontal regions and at the midline. These results were highly consistent with the findings of Mann et al. (1992), who reported an increase in absolute
References (46)
- et al.
EEG development of healthy boys and girls. Results of a longitudinal study
Electroenceph clin Neurophysiol
(1984) - et al.
Age-related changes in quantitative EEG in attention deficit disorder
Biol Psychiatry
(1999) - et al.
Quantitative electroencephalographic profiles of children with attention deficit disorder
Biol Psychiatry
(1996) - et al.
EEG analysis in attention-deficit/ hyperactivity disorder: a comparative study of two subtypes
Psychiatry Res
(1998) - et al.
Age and sex effects in the EEG: development of the normal child
Clin Neurophysiol
(2001) - et al.
Development of the EEG of school age children and adolescents. I. Analysis of band power
Electroenceph clin Neurophysiol
(1988) - et al.
Gender differences in ADHD: a meta-analysis and critical review
J Am Acad Child Adolesc Psychiatry
(1997) - et al.
Effect of sex, psychosocial disadvantages and biological risk factors on EEG maturation
Electroenceph clin Neurophysiol
(1990) - et al.
Neurometric evaluation of cognitive dysfunctions and neurological disorders in children
Prog Neurobiol
(1983) - et al.
Developmental characteristics of normal and mentally retarded children
Electroenceph clin Neurophysiol
(1981)
Quantitative analysis of EEG in boys with attention deficit hyperactivity disorder: controlled study with clinical implications
Pediatr Neurol
Changes in the background activity of the electroencephalogram according to age
Electroenceph clin Neurophysiol
Manual for the child behavior checklist/4-18 and 1991 profiles
Child adolescent behavioural and emotional problems: implications of cross-informant correlations for situational specificity
Psychol Bull
DSM-III. Diagnostic and statistical manual of mental disorders
DSM-III-R. Diagnostic and statistical manual of mental disorders
DSM-IV. Diagnostic and statistical manual of mental disorders
Gender differences in ADHD?
J Dev Behav Pediatr
Sex differences in ADHD: conference summary
J Abnorm Child Psychol
Attention-deficit hyperactivity disorder: a handbook for diagnosis and treatment
Behavioural inhibition, sustained attention, and executive functions: constructing a unifying theory of ADHD
Psychol Bull
Comprehensive evaluation of attention deficit disorder with and without hyperactivity as defined by research criteria
J Consult Clin Psychol
Attention-deficit hyperactive disorder in adults
Clin Ther
Cited by (199)
Associations between age-related differences in occipital alpha power and the broadband parameters of the EEG power spectrum: A cross-sectional cohort study
2024, International Journal of PsychophysiologyLinks between excessive daytime sleepiness and EEG power and activation in two subtypes of ADHD
2023, Biological PsychologyCan electroencephalography (EEG) identify ADHD subtypes? A systematic review
2022, Neuroscience and Biobehavioral ReviewsAge-related changes in the EEG in an eyes-open condition: II. Subtypes of AD/HD
2022, International Journal of Psychophysiology