Network localization of gray matter atrophy in addiction

COEX 

Imaging meta-analyses of addiction have summarized symptom-brain region correspondence patterns, revealing diagnosis-specific and transdiagnostic effects [1]. However, group average differences are not representative of individual cases [2]. There are both clinical and neuroanatomical variabilities at the single-subject level in addiction, complicating it challenging to develop neuroimaging biomarkers to track disease severity, progression, and treatment response. Here we demonstrate through normative model [3] and lesion network mapping [4] techniques that regional gray matter atrophy patterns across patients with addiction are highly heterogeneous, yet these deviations can be embedded in common functional circuits and networks.