Visualising inter-subject variability in fMRI using threshold-weighted overlap maps

• Published in: Scientific reports Vol. 6; no. 1; p. 20170
• Main Authors: Seghier, Mohamed L., Price, Cathy J.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 05.02.2016; Nature Publishing Group
• Subjects: 631/378/2649/1594; 631/378/2650; 639/766/930/2735; Adult; Brain - diagnostic imaging; Brain injury; Brain Mapping; Cognitive ability; Demography; Female; Functional magnetic resonance imaging; Hand - physiology; Healthy Volunteers; Humanities and Social Sciences; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Motor task performance; Movement; multidisciplinary; Neuroimaging; Science
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/srep20170

Functional neuroimaging studies are revealing the neural systems sustaining many sensory, motor and cognitive abilities. A proper understanding of these systems requires an appreciation of the degree to which they vary across subjects. Some sources of inter-subject variability might be easy to measure (demographics, behavioural scores, or experimental factors), while others are more difficult (cognitive strategies, learning effects and other hidden sources). Here, we introduce a simple way of visualising whole-brain consistency and variability in brain responses across subjects using threshold-weighted voxel-based overlap maps. The output quantifies the proportion of subjects activating a particular voxel or region over a wide range of statistical thresholds. The sensitivity of our approach was assessed in 30 healthy adults performing a matching task with their dominant hand. We show how overlap maps revealed many effects that were only present in a subsample of our group; we discuss how overlap maps can provide information that may be missed or misrepresented by standard group analysis and how this information can help users to understand their data. In particular, we emphasize that functional overlap maps can be particularly useful when it comes to explaining typical (or atypical) compensatory mechanisms used by patients following brain damage.