Fluid Intelligence Allows Flexible Recruitment of the Parieto-Frontal Network in Analogical Reasoning
Identifieur interne : 001948 ( Ncbi/Checkpoint ); précédent : 001947; suivant : 001949Fluid Intelligence Allows Flexible Recruitment of the Parieto-Frontal Network in Analogical Reasoning
Auteurs : Franziska Preusse [Allemagne] ; Van Der Meer Elke [Allemagne] ; Gopikrishna Deshpande [États-Unis] ; Frank Krueger [États-Unis] ; Isabell Wartenburger [Allemagne]Source :
- Frontiers in Human Neuroscience [ 1662-5161 ] ; 2011.
Abstract
Fluid intelligence is the ability to think flexibly and to understand abstract relations. People with high fluid intelligence (hi-fluIQ) perform better in analogical reasoning tasks than people with average fluid intelligence (ave-fluIQ). Although previous neuroimaging studies reported involvement of parietal and frontal brain regions in geometric analogical reasoning (which is a prototypical task for fluid intelligence), however, neuroimaging findings on geometric analogical reasoning in hi-fluIQ are sparse. Furthermore, evidence on the relation between brain activation and intelligence while solving cognitive tasks is contradictory. The present study was designed to elucidate the cerebral correlates of geometric analogical reasoning in a sample of hi-fluIQ and ave-fluIQ high school students. We employed a geometric analogical reasoning task with graded levels of task difficulty and confirmed the involvement of the parieto-frontal network in solving this task. In addition to characterizing the brain regions involved in geometric analogical reasoning in hi-fluIQ and ave-fluIQ, we found that blood oxygenation level dependency (BOLD) signal changes were greater for hi-fluIQ than for ave-fluIQ in parietal brain regions. However, ave-fluIQ showed greater BOLD signal changes in the anterior cingulate cortex and medial frontal gyrus than hi-fluIQ. Thus, we showed that a similar network of brain regions is involved in geometric analogical reasoning in both groups. Interestingly, the relation between brain activation and intelligence is not mono-directional, but rather, it is specific for each brain region. The negative brain activation–intelligence relationship in frontal brain regions in hi-fluIQ goes along with a better behavioral performance and reflects a lower demand for executive monitoring compared to ave-fluIQ individuals. In conclusion, our data indicate that flexibly modulating the extent of regional cerebral activity is characteristic for fluid intelligence.
Url:
DOI: 10.3389/fnhum.2011.00022
PubMed: 21415916
PubMed Central: 3049247
Affiliations:
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Neuroscience, Krasnow Institute for Advanced Study, George Mason University</institution><country>Fairfax, VA, USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation></author><author><name sortKey="Wartenburger, Isabell" sort="Wartenburger, Isabell" uniqKey="Wartenburger I" first="Isabell" last="Wartenburger">Isabell Wartenburger</name><affiliation wicri:level="1"><nlm:aff id="aff1"><institution>Department of Neurology, Berlin NeuroImaging Center, Charité – Universitaetsmedizin Berlin</institution><country>Berlin, Germany</country></nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff3"><institution>Berlin School of Mind and Brain, Humboldt-Universitaet zu Berlin</institution><country>Berlin, Germany</country></nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff7"><institution>Center of Excellence Cognitive Sciences, Department of Linguistics, University of Potsdam</institution><country>Potsdam, Germany</country></nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation></author></analytic><series><title level="j">Frontiers in Human Neuroscience</title><idno type="eISSN">1662-5161</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Fluid intelligence is the ability to think flexibly and to understand abstract relations. People with high fluid intelligence (hi-fluIQ) perform better in analogical reasoning tasks than people with average fluid intelligence (ave-fluIQ). Although previous neuroimaging studies reported involvement of parietal and frontal brain regions in geometric analogical reasoning (which is a prototypical task for fluid intelligence), however, neuroimaging findings on geometric analogical reasoning in hi-fluIQ are sparse. Furthermore, evidence on the relation between brain activation and intelligence while solving cognitive tasks is contradictory. The present study was designed to elucidate the cerebral correlates of geometric analogical reasoning in a sample of hi-fluIQ and ave-fluIQ high school students. We employed a geometric analogical reasoning task with graded levels of task difficulty and confirmed the involvement of the parieto-frontal network in solving this task. In addition to characterizing the brain regions involved in geometric analogical reasoning in hi-fluIQ and ave-fluIQ, we found that blood oxygenation level dependency (BOLD) signal changes were greater for hi-fluIQ than for ave-fluIQ in parietal brain regions. However, ave-fluIQ showed greater BOLD signal changes in the anterior cingulate cortex and medial frontal gyrus than hi-fluIQ. Thus, we showed that a similar network of brain regions is involved in geometric analogical reasoning in both groups. Interestingly, the relation between brain activation and intelligence is not mono-directional, but rather, it is specific for each brain region. The negative brain activation–intelligence relationship in frontal brain regions in hi-fluIQ goes along with a better behavioral performance and reflects a lower demand for executive monitoring compared to ave-fluIQ individuals. In conclusion, our data indicate that flexibly modulating the extent of regional cerebral activity is characteristic for fluid intelligence.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Ackerman, P L" uniqKey="Ackerman P">P. L. Ackerman</name></author><author><name sortKey="Beier, M E" uniqKey="Beier M">M. E. Beier</name></author><author><name sortKey="Boyle, M O" uniqKey="Boyle M">M. O. Boyle</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Allman, J M" uniqKey="Allman J">J. M. Allman</name></author><author><name sortKey="Hakeem, A" uniqKey="Hakeem A">A. Hakeem</name></author><author><name sortKey="Erwin, J M" uniqKey="Erwin J">J. M. Erwin</name></author><author><name sortKey="Nimchinsky, E" uniqKey="Nimchinsky E">E. Nimchinsky</name></author><author><name sortKey="Hof, P" uniqKey="Hof P">P. 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D'Esposito</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Allemagne</li><li>États-Unis</li></country></list><tree><country name="Allemagne"><noRegion><name sortKey="Preusse, Franziska" sort="Preusse, Franziska" uniqKey="Preusse F" first="Franziska" last="Preusse">Franziska Preusse</name></noRegion><name sortKey="Elke, Van Der Meer" sort="Elke, Van Der Meer" uniqKey="Elke V" first="Van Der Meer" last="Elke">Van Der Meer Elke</name><name sortKey="Elke, Van Der Meer" sort="Elke, Van Der Meer" uniqKey="Elke V" first="Van Der Meer" last="Elke">Van Der Meer Elke</name><name sortKey="Preusse, Franziska" sort="Preusse, Franziska" uniqKey="Preusse F" first="Franziska" last="Preusse">Franziska Preusse</name><name sortKey="Preusse, Franziska" sort="Preusse, Franziska" uniqKey="Preusse F" first="Franziska" last="Preusse">Franziska Preusse</name><name sortKey="Wartenburger, Isabell" sort="Wartenburger, Isabell" uniqKey="Wartenburger I" first="Isabell" last="Wartenburger">Isabell Wartenburger</name><name sortKey="Wartenburger, Isabell" sort="Wartenburger, Isabell" uniqKey="Wartenburger I" first="Isabell" last="Wartenburger">Isabell Wartenburger</name><name sortKey="Wartenburger, Isabell" sort="Wartenburger, Isabell" uniqKey="Wartenburger I" first="Isabell" last="Wartenburger">Isabell Wartenburger</name></country><country name="États-Unis"><noRegion><name sortKey="Deshpande, Gopikrishna" sort="Deshpande, Gopikrishna" uniqKey="Deshpande G" first="Gopikrishna" last="Deshpande">Gopikrishna Deshpande</name></noRegion><name sortKey="Deshpande, Gopikrishna" sort="Deshpande, Gopikrishna" uniqKey="Deshpande G" first="Gopikrishna" last="Deshpande">Gopikrishna Deshpande</name><name sortKey="Krueger, Frank" sort="Krueger, Frank" uniqKey="Krueger F" first="Frank" last="Krueger">Frank Krueger</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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