Related Experiment Video
Updated: Feb 13, 2026
06:26
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
Published on: November 27, 2019
77.8K
The neural correlates of visual imagery: A co-ordinate-based meta-analysis
Crawford I P Winlove1, Fraser Milton2, Jake Ranson3
1Medical School, University of Exeter, UK.
Summary
This meta-analysis reveals key brain regions involved in visual imagery, including the superior parietal lobule and frontal eye fields. These findings highlight the interplay between sensory imagination and brain activation patterns.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
Background:
- Visual imagery involves mental experiences similar to perception without external stimuli.
- Understanding the neural basis of visual imagery is crucial for cognitive neuroscience.
Purpose of the Study:
- To identify brain regions consistently activated during visual imagery using a meta-analysis.
- To combine the Activation Likelihood Estimation (ALE) algorithm with a multi-modal brain parcellation for precise localization.
Main Methods:
- Conducted a meta-analysis of 40 neuroimaging studies on visual imagery.
- Utilized the Activation Likelihood Estimation (ALE) algorithm.
- Applied a multi-modal parcellation of the human brain to 180 anatomical regions.
Main Results:
- Identified consistent activation in the superior parietal lobule, inferior premotor areas, and inferior frontal sulcus.
- Observed bilateral activation in eye movement-related areas like frontal eye fields (FEFs).
- Found activation in V1 and temporal lobe regions (PH, fusiform gyrus).
Conclusions:
- The superior parietal lobule plays a 'top-down' role in visual imagery.
- Semantic processing and enactive processes (eye movements) are important for visual imagery.
- Findings support depictive theories of visual imagery and provide a basis for future research.
Related Concept Videos
02:20Correlations
36.6K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.6K
00:55Ordinal Level of Measurement
34.4K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
34.4K
01:27Correlation and Causation
43.0K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
43.0K
01:09Correlation
15.2K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.2K
01:09Directing Effect of Substituents: meta-Directing Groups
6.1K
Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
6.1K
01:37Neural Regulation
43.5K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
43.5K