Investigating the methodological foundation of lesion network mapping

Lesion network mapping (LNM) is a neuroimaging framework that uses normative functional connectivity (FC) data to link heterogeneous brain lesions and functional alterations to brain networks implicated in neurological and psychiatric conditions. However, many of the networks identified by LNM and related methods appear to be highly similar across diverse conditions such as addiction, depression, psychosis and epilepsy. To understand this similarity, we re-examined the data from multiple LNM studies and assessed the methodological roots of the method. Our findings reveal a foundational limitation: at its core, LNM involves a repetitive sampling of one and the same FC matrix. As a result, it systematically maps…

• DF
  Deutsche Forschungsgemeinschaft
• NO
  Nederlandse Organisatie voor Wetenschappelijk Onderzoek
• NH
  National Health and Medical Research Council

  Award: 2027597