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Disentangling the Effects of Processing Speed on the Association between Age Differences and Fluid Intelligence
Anna-Lena Schubert1, Dirk Hagemann1, Christoph Löffler1
1Institute of Psychology, Heidelberg University, Hauptstrasse 47-51, D-69117 Heidelberg, Germany.
Journal of Intelligence
|December 29, 2019
Summary
Processing speed differences, particularly in non-decisional tasks and attention-related brain activity, explain the link between aging and lower fluid intelligence. Age does not explain processing speed
Area of Science:
- Cognitive Neuroscience
- Psychometrics
- Aging Research
Background:
- Individual differences in processing speed are known to fully mediate the relationship between age and intelligence.
- The specific cognitive and motivational processes underlying this mediation effect remain unclear, posing challenges in understanding cognitive aging.
- Distinguishing whether these processes cause or indicate cognitive aging is crucial.
Purpose of the Study:
- To investigate the neurocognitive mechanisms underlying the association between age differences and fluid intelligence.
- To determine if individual differences in diffusion model parameters and event-related potential (ERP) latencies explain the age-fluid intelligence link.
Main Methods:
- Reanalysis of data from two existing datasets comprising 223 participants aged 18-61 years.
- Utilized a neurocognitive psychometric approach to decompose the association between age and fluid intelligence.
- Examined individual differences in diffusion model parameters (e.g., non-decisional speed) and ERP latencies (higher-order attentional processing).
Main Results:
- Individual differences in the speed of non-decisional processes (encoding, response preparation/execution) explained the negative association between age and fluid intelligence.
- Latencies of ERP components linked to higher-order cognitive processes also accounted for the age-fluid intelligence relationship.
- Age differences did not explain the association between processing speed and fluid intelligence.
Conclusions:
- The relationship between age and fluid intelligence is multifactorially determined by non-decisional speed and higher-order cognitive processing.
- Age-related declines in anterior brain regions involved in response planning may underlie these observed differences.
- Processing speed is a key factor in cognitive aging, but age itself does not determine processing speed.
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