Along with the increased interest in and volume of social cognition research, there has been
higher awareness of a lack of agreement on the concepts and taxonomy used to study social …

Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

Abstract The use of Linear Mixed-effects Models (LMMs) is set to dominate statistical
analyses in psychological science and may become the default approach to analyzing …

Neuroimaging has evolved into a widely used method to investigate the functional
neuroanatomy, brain-behaviour relationships, and pathophysiology of brain disorders …

Abstract Analysis and interpretation of neuroimaging datasets has become a
multidisciplinary endeavor, relying not only on statistical methods, but increasingly on …

Functional neuroimaging techniques have transformed our ability to probe the
neurobiological basis of behaviour and are increasingly being applied by the wider …

Importance Major depressive disorder (MDD) has been linked to imbalanced
communication among large-scale brain networks, as reflected by abnormal resting-state …

Given the increasing number of neuroimaging publications, the automated knowledge
extraction on brain-behavior associations by quantitative meta-analyses has become a …

Schizophrenia is a complex mental disorder with disorganized communication among large-
scale brain networks, as demonstrated by impaired resting-state functional connectivity …

Meditation is a family of mental practices that encompasses a wide array of techniques
employing distinctive mental strategies. We systematically reviewed 78 functional …