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Attention Deficit Disorder (ADD - ADHD) is a condition
that can affect all ages, and can occur with and with out hyperactivity.
In adults the hyperactivity often turns into a sense of restlessness.
However, the ongoing symptoms can lead to debilitating symptoms of depression
and anxiety which when treated do not fully going away or continue to
recur because of an underlying ADD.
Therefore, it is very important for ADD to be objectively
identified and it is never too late to investigate. Many individuals
with ADD will have areas of strengths that help them compensate for their
deficits. However, this often leads to these individuals being undetected
and undiagnosed until a point where they reach their limit or their ceiling
and life starts to become extremely difficult. This can occur in late
childhood, adolescence, early adulthood or even late adulthood.
Our brain function, brain wave, and cognitive assessment
can identify the existence of an attention deficit disorder and the type
of ADD which exists (Rowe and Hermens, 2006). Identifying the sub category
of ADD can be crucial to obtaining the correct form of treatment, whether
that be via medication, psychology or neurotherapy (Rowe et al., 2007).
Note that it is not enough to rely on the popular continuous
performance tests (CPTs) such as the Test of Variable Attention (TOVA)
or Conners CPT (Corkum & Siegel, 1993; Riccio et al., 2001; Seifert
et al., 2003). The results from CPTs seem encouraging but at a clinical
cut off of > 2 SD, the sensitivity of these tests falls down to approximately
60 % (Forbes, 1998). This means that a lot of ADHD children are not identified
and if a more conservative cut-off of > -1.5 SD is used then more are
identified but there is also a very high number of normal children that
are identified as having ADHD (Greenhill et al., 2002; Grodzinsky & Barkley,
1999).
The results indicate that no single instrument can be used
to identify the comprehensive range of cognitive abnormalities that can
occur in ADHD (Doyle et al., 2000; Frazier et al., 2004). The use of
neuropsychological test batteries which combine multiple cognitive tests
tapping into different domains of cognitive function are considered better
and have provided much more encouraging results (Doyle et al., 2000; Frazier
et al., 2004; Muir-Broaddus et al., 2002; Perugini et al., 2000; Pineda
et al., 1999). Authors have also considered that a comprehensive neuropsychological
battery is needed to advance ADHD research (Sergeant et al., 2003).
An example of the utility of the test battery approach has
been illustrated by Pineda et al. (1999) who found that they could correctly
classify 85.5% of a sample of 62 ADHD and 62 control subjects using 10
neuropsychological variables. Further sensitivity and specificity is obtained
by using brain function (neurophysiological) and neuropsychological measures
(Hermens et al., 2006). More importantly, the brain function measures are
the only way to identify the cause of the neuropsychological deficit, and
it is this information that is crucial for determining the most optimal
treatment approach (Rowe & Hermens, 2006).
References
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Task a valuable research tool for use with children with Attention-Deficit-Hyperactivity
Disorder? Journal of Child Psychology & Psychiatry & Allied
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Doyle, AE, Biederman, J, and Seidman, L (2000). Diagnostic
efficiency of neuropsychological test scores for discriminating boys with
and without attention deficit-hyperactivity disorder. Journal of Consulting & Clinical
Psychology , 68 (3), 477-488.
Frazier, TW, Demaree, HA, and Youngstrom, EA (2004). Meta-Analysis
of Intellectual and Neuropsychological Test Performance in Attention-Deficit/Hyperactivity
Disorder. Neuropsychology , 18 (3), 543-555.
Greenhill, LL, Pliszka, S, Dulcan, MK, Bernet, W, Arnold,
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Muir-Broaddus, JE, Rosenstein, LD, Medina, DE, and Soderberg,
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Perugini, EM, Harvey, EA, Lovejoy, DW, Sandstrom, K, and Webb,
AH (2000). The predictive power of combined neuropsychological measures
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Pineda, D, Ardila, A, and Rosselli, M (1999). Neuropsychological
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Riccio, CA, Waldrop, JJ, Reynolds, CR, and Lowe, P (2001).
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Rowe, DL and Hermens, DF (2006). Attention-deficit/hyperactivity
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Rowe, DL, Hermens, DF, Kohn, M, Clarke,
S, and Gordon, E (2006). Neuropsychological subtypes of attention deficit
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KE, Fallgatter, A, and Warnke, A (2003). Electrophysiological investigation
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perspective. Neuroscience & Biobehavioral
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