Genetic studies in the social sciences could be augmented through the additional consideration of functional (transcriptome, methylome, metabolome) and/or multimodal genetic data when attempting to understand the genetics of social phenomena. Understanding the biological pathways linking genetics and the environment will allow scientists to better evaluate the functional importance of polygenic scores.

One novel example and/or perspective in support of “Why the learning account fails” is the impressive ability of humans to recognize and memorize facial features and accurately and reliably connect those to related identities. Furthermore, neuroimaging analysis presents an example in support of the crucial role of standardization in the lack of adoption of ideography.

We suggest that the inclusion of anxiety, as one relevant mood factor, could enhance the implementation of the integrative memory model in research and the clinic. The role of anxiety in Alzheimer's disease neuroanatomy, symptomology, and progression is used as an example. Customization of the integrative memory model can establish strong foundations for pathology-specific models of memory deficits, enhancing the development of precision medicine applications.

There are several facets of second-person neuroscience which can benefit from comparisons with animal behavioral neuroscience studies. This commentary addresses the challenges involved in obtaining quantitative data from second-person techniques, the role of stress in inducing robust responses, the use of interactive functional magnetic resonance imaging (fMRI), and the value of applying interactive methods to studies of aggression and depression.