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Category-specific activations depend on imaging mode, task demand, and stimuli modality: An ALE meta-analysis
Kimberly D Derderian1, Xiaojue Zhou2, Lang Chen3
1Neuroscience Program, Santa Clara University, United States.
Neuropsychologia
|August 27, 2021
Summary
This study analyzed 113 papers on brain activity for living and nonliving concepts. Findings show that semantic network activations are highly context-dependent, influenced by study methods.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Neuroimaging
Background:
- The cortical organization of the semantic network is extensively studied but remains controversial.
- Consistent patterns of category-specific brain activations and influencing factors require systematic investigation.
Purpose of the Study:
- To comprehensively review and synthesize neuroimaging findings on category-specific semantic activations.
- To identify consistent brain regions for living versus nonliving concepts.
- To examine how methodological factors influence these activations.
Main Methods:
- Systematic literature review of 113 published neuroimaging studies from the past two decades.
- Utilized the Activation Likelihood Estimate (ALE) meta-analysis method.
- Analyzed studies reporting category-specific activations for living or nonliving concepts.
Main Results:
- Characterized consistent brain regions associated with living and nonliving concepts.
- Revealed significant influence of methodological factors (imaging mode, task, stimuli) on activation patterns.
- Demonstrated that semantic activation patterns are highly contextually dependent.
Conclusions:
- Provides the most comprehensive summary to date of category-specific semantic activations.
- Highlights the critical role of context and methodology in shaping observed brain patterns.
- Offers insights into the organization of the cortical semantic network and future research.

