Brain area necessary for fluid intelligence identified

Credit: Pixabay/CC0 Public Domain

A team led by UCL and UCLH researchers have mapped the parts of the brain that support our ability to solve problems without prior experience—otherwise known as fluid intelligence.

Fluid intelligence is arguably the defining feature of human cognition. It predicts educational and professional success, social mobility, health, and longevity. It also correlates with many such as memory.

Fluid intelligence is thought to be a key feature involved in "active thinking"—a set of complex mental processes such as those involved in abstraction, judgment, attention, strategy generation and inhibition. These skills can all be used in everyday activities—from organizing a dinner party to filling out a tax return.

Despite its central role in , fluid intelligence remains contentious, with regards to whether it is a single or a cluster of cognitive abilities, and the nature of its relationship with the .

To establish which parts of the brain are necessary for a certain ability, researchers must study patients in whom that part is either missing or damaged. Such "lesion-deficit mapping" studies are difficult to conduct owing to the challenge of identifying and testing patients with focal brain injury.

Consequently, previous studies have mainly used functional imaging (fMRI) techniques—which can be misleading.

The new study, led by UCL Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery at UCLH researchers and published in Brain, investigated 227 patients who had suffered either a brain tumor or stroke to specific parts of the brain, using the Raven Advanced Progressive Matrices (APM): the best-established test of fluid intelligence.

The test contains multiple choice visual pattern problems of increasing difficulty. Each problem presents an incomplete pattern of geometric figures and requires selection of the missing piece from a set of multiple possible choices.

The researchers then introduced a novel "lesion-deficit mapping" approach to disentangle the intricate anatomical patterns of common forms of brain injury, such as stroke.

Their approach treated the relations between as a mathematical network whose connections describe the tendency of regions to be affected together, either because of the disease process or in reflection of common cognitive ability.

This enabled researchers to disentangle the brain map of cognitive abilities from the patterns of damage—allowing them to map the different parts of the brain and determine which patients did worse in the fluid intelligence task according to their injuries.

The researchers found that fluid intelligence impaired performance was largely confined to patients with right frontal lesions—rather than a wide set of regions distributed across the brain. Alongside and stroke, such damage is often found in patients with a range of other neurological conditions, including traumatic brain injury and dementia.

Lead author, Professor Lisa Cipolotti (UCL Queen Square Institute of Neurology), said, "Our findings indicate for the first time that the right frontal regions of the brain are critical to the high-level functions involved in fluid intelligence, such as problem solving and reasoning.

"This supports the use of APM in a , as a way of assessing fluid intelligence and identifying right frontal lobe dysfunction.

"Our approach of combining novel lesion-deficit mapping with detailed investigation of APM performance in a large sample of patients provides crucial information about the neural basis of fluid intelligence. More attention to lesion studies is essential to uncover the relationship between the brain and cognition, which often determines how neurological disorders are treated."

More information: Lisa Cipolotti et al, Graph lesion-deficit mapping of fluid intelligence, Brain (2022). DOI: 10.1093/brain/awac304

Journal information: Brain

Citation: Brain area necessary for fluid intelligence identified (2022, December 27) retrieved 23 March 2023 from
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Network neuroscience theory best predictor of intelligence, study finds


Feedback to editors