Exact definition of Intelligence
What is intelligence ?
What do we mean when we say someone is intelligent and is
there any scientific basis for defining intelligence? These questions have been
at the center of a more than century-old debate in psychology. Intelligence is,
first and foremost, a judgment. He’s intelligent, he’s not intelligent, those
are quick ways of saying that some behaviors of an individual observed in the
past somehow predict how brilliant his next actions will be. Intelligence is an
estimate of the quality that we attribute to the decision-making and abstract
thinking of people around us. Although it may be practical for people to think
of intelligence as something that exists, whether science should consider
intelligence and how it would define it remains very controversial.
There are, in short, two types of theories of
intelligence. You can either believe that there is a single factor of
intelligence that determines the level of ability that we have in any task – a
theory put forward by Charles Spearman who hypothesized that each individual
might have a g factor, a general intelligence factor. This intelligence factor
would make people better at tasks that are apparently unrelated and likely
demand very different cognitive abilities. The second set of theories of
intelligence stipulate that intelligence is divided in distinct categories;
people would have specific ease with tasks of a particular domain and there
would be no single factor explaining performance across different domains of
intelligence.
A recent study published by Hampshire et al.1 from the
University of Western Ontario has looked into the brain areas that are
activated by tasks that are typically used to test for intelligence. In doing
so they hoped to determine if brain areas related to cognitive demands are
activated altogether as demands increase during intelligence tests of various
kinds, or if some areas were activated during tests for a specific intelligence
domain and not for others.
The anterior cingulate cortex is one of the regions that
this study looked at along with other prefrontal and parietal regions. The goal
was to see if these regions were activated by specific intelligence tests or if
all tests were activating the areas altogether.
The study is thorough. They made subjects pass 12 tests
that challenge intelligence in different manners. One test involves mapping
words and colors together, some tasks are geometrical and others involve
spatial reasoning. They were interested in the brain activities in a set of
areas that they refer to as the multiple demand cortex, which is really a set
of areas that seem to be activated by a broad range of tasks.
Using functional magnetic resonance imaging (fMRI), which
provides a measure of blood oxygenation levels, they visualized the brain areas
that are more or less activated by each of these tasks. What comes out of these
experiments is that the whole set of brain regions they looked at is not
uniformly activated by every task but that some areas are more activated during
specific sets of tasks. They then defined 3 groups of tasks that seem to
activate specific groups of brain areas: the short-term memory tasks, the
reasoning tasks and the verbal tasks.
The study is interesting because it provides three candidate
intelligence factors (instead of 1) that have been built not from intuition
about what tasks do but based on the set of brain areas that might contribute
to those tasks. However don’t get too excited, the methods used have severe
limitations and we are still only at the hypothesis level. We do not know how
these areas contribute to performance in intelligence tests and we do not know
why they are activated and how they interact together to create the behavior.
References
1. Hampshire A, Highfield RR, Parkin BL, Owen AM. (2012)
Fractionating human intelligence. Neuron 76:1225-1237.
Source: Brainfacts.org
Image source: http://www.sxc.hu/photo/370098
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