Fractionating Human Intelligence

Hampshire, A., Parkin, B., Highfield, R. and Owen, A.M. 2012. Fractionating Human Intelligence. Neuron. 76 (6), p. 1225–1237. https://doi.org/10.1016/j.neuron.2012.06.022

TitleFractionating Human Intelligence
TypeJournal article
AuthorsHampshire, A., Parkin, B., Highfield, R. and Owen, A.M.
Abstract

What makes one person more intellectually able than another? Can the entire distribution of human intelligence be accounted for by just one general factor? Is intelligence supported by a single neural system? Here, we provide a perspective on human intelligence that takes into account how general abilities or ‘‘factors’’ reflect the functional organiza- tion of the brain. By comparing factor models of individual differences in performance with factor models of brain functional organization, we demon- strate that different components of intelligence have their analogs in distinct brain networks. Using simulations based on neuroimaging data, we show that the higher-order factor ‘‘g’’ is accounted for by cognitive tasks corecruiting multiple networks. Finally, we confirm the independence of these com- ponents of intelligence by dissociating them using questionnaire variables. We propose that intelli- gence is an emergent property of anatomically distinct cognitive systems, each of which has its own capacity.

JournalNeuron
Journal citation76 (6), p. 1225–1237
ISSN0896-6273
Year2012
PublisherCell Press
Publisher's version
Digital Object Identifier (DOI)https://doi.org/10.1016/j.neuron.2012.06.022
Publication dates
Published20 Dec 2012

Related outputs

Testing hypotheses about the harm that capitalism causes to the mind and brain: a theoretical framework for neuroscience research
Kokorikou, D., Sarigiannidis, I., Fiore, V.G., Parkin, B., Hopkins, A., El-Deredy, W., Dilley, L. and Moutoussis, M. 2023. Testing hypotheses about the harm that capitalism causes to the mind and brain: a theoretical framework for neuroscience research. Frontiers in Sociology. 8 1030115. https://doi.org/10.3389/fsoc.2023.1030115

Menu design approaches to promote sustainable vegetarian food choices when dining out
Parkin, B. and Attwood, S. 2022. Menu design approaches to promote sustainable vegetarian food choices when dining out. Journal of Environmental Psychology. 79 101721. https://doi.org/10.1016/j.jenvp.2021.101721

Dissociable effects of age and Parkinson’s disease on instruction-based learning
Parkin, Beth L, Daws, Richard E, Das-Neves, Ines, Violante, Ines R, Soreq, Eyal, Faisal, A Aldo, Sandrone, Stefano, Lao-Kaim, N., Martin-Bastida, Antonio, Roussakis, A., Piccini, Paola and Hampshire, A. 2021. Dissociable effects of age and Parkinson’s disease on instruction-based learning. Brain Communications. 3 (3) fcab175. https://doi.org/10.1093/braincomms/fcab175

Transcranial Magnetic Stimulation and the Understanding of Behavior
Pitcher, David, Parkin, B. and Walsh, Vincent 2021. Transcranial Magnetic Stimulation and the Understanding of Behavior. Annual Review of Psychology. 72, pp. 97-121. https://doi.org/10.1146/annurev-psych-081120-013144

Menu engineering to encourage sustainable food choices when dining out: An online trial of priced-based decoys
Attwood, S., Chesworth, S. and Parkin, B. 2020. Menu engineering to encourage sustainable food choices when dining out: An online trial of priced-based decoys. Appetite. 149 104601. https://doi.org/10.1016/j.appet.2020.104601

The physiological effects of Transcranial Electrical Stimulation do not apply to parameters commonly used in studies of Cognitive Neuromodulation
Parkin, B., Bhandari, M., Glen, J.C. and Walsh, V. 2019. The physiological effects of Transcranial Electrical Stimulation do not apply to parameters commonly used in studies of Cognitive Neuromodulation. Neuropsychologia. 128, pp. 332-339. https://doi.org/10.1016/j.neuropsychologia.2018.03.030

Preserved cognitive functions with age are determined by domain-dependent shifts in network responsivity
Samu, D., Campbell, K., Tsvetanov, K., Shafto, M., Cam-CAN Consortium, Tyler, L. and Parkin, B. 2017. Preserved cognitive functions with age are determined by domain-dependent shifts in network responsivity. Nature Communications . 8 14743. https://doi.org/10.1038/ncomms14743

Gunslingers, poker players, and chickens 3: Decision making under mental performance pressure in junior elite athletes
Parkin, B. and Walsh, V. 2017. Gunslingers, poker players, and chickens 3: Decision making under mental performance pressure in junior elite athletes. in: Wilson, M., Walsh, V. and Parkin, B. (ed.) Sport and the Brain: The Science of Preparing, Enduring and Winning, Part B Elsevier. pp. 339-359

Gunslingers, poker players, and chickens 2: Decision-making under physical performance pressure in subelite athletes.
Parkin, B. and Walsh, V. 2017. Gunslingers, poker players, and chickens 2: Decision-making under physical performance pressure in subelite athletes. in: Wilson, M., Walsh, V. and Parkin, B. (ed.) Sport and the Brain: The Science of Preparing, Enduring and Winning, Part B Elsevier. pp. 317-338

Gunslingers, poker players, and chickens 1: Decision making under physical performance pressure in elite athletes
Parkin, B., Warriner, K. and Walsh, V. 2017. Gunslingers, poker players, and chickens 1: Decision making under physical performance pressure in elite athletes. in: Wilson, M., Walsh, V. and Parkin, B. (ed.) Sport and the Brain: The Science of Preparing, Enduring and Winning, Part B Elsevier. pp. 291-316

Ageing increases reliance on sensorimotor prediction through structural and functional differences in frontostriatal circuits
Wolpe, N., Ingram, J., Tsvetanov, K., Geerligs, L., Kievit, R., Henson, R., Wolpert, D., Cam-CAN Consortium, Rowe, J. and Parkin, B. 2016. Ageing increases reliance on sensorimotor prediction through structural and functional differences in frontostriatal circuits. Nature Communications . 7 13034. https://doi.org/10.1038/ncomms13034

Network mechanisms of intentional learning
Hampshire, A., Hellyer, P., Parkin, B., Hiebert, N., MacDonald, P., Owen, A.M., Leech, R. and Rowe, J. 2016. Network mechanisms of intentional learning. NeuroImage. 127, pp. 123-134. https://doi.org/10.1016/j.neuroimage.2015.11.060

Dynamic Network Mechanisms of Relational Integration
Parkin, B., Hellyer, P., Leech, R. and Hampshire, A. 2015. Dynamic Network Mechanisms of Relational Integration. Journal of Neuroscience. 35 (20), pp. 7660-7673. https://doi.org/10.1523/JNEUROSCI.4956-14.2015

Non-Invasive Human Brain 
Stimulation in Cognitive Neuroscience: A Primer
Parkin, B., Leech, R. and Walsh, V. 2015. Non-Invasive Human Brain 
Stimulation in Cognitive Neuroscience: A Primer. Neuron. 87 (5), pp. 932-945. https://doi.org/10.1016/j.neuron.2015.07.032

Brief response to Ashton and colleagues regarding Fractionating Human Intelligence
Hampshire, A., Parkin, B., Highfield, R. and Owen, A.M. 2014. Brief response to Ashton and colleagues regarding Fractionating Human Intelligence. Personality and Individual Differences. 60, pp. 16-17. https://doi.org/10.1016/j.paid.2013.11.013

Assessing residual reasoning ability in overtly non-communicative patients using fMRI
Hampshire, A., Parkin, B., Cusack, R., Fernández Espejo, D., Allanson, J., Kamau, E., Pickard, J.D. and Owen, A.M. 2013. Assessing residual reasoning ability in overtly non-communicative patients using fMRI. Neuroimage: Clinical. 2, pp. 174-183. https://doi.org/10.1016/j.nicl.2012.11.008

Permalink - https://westminsterresearch.westminster.ac.uk/item/9w7y2/fractionating-human-intelligence


Share this

Usage statistics

215 total views
227 total downloads
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.