The American Psychiatric Association (APA) has updated its Privacy Policy and Terms of Use, including with new information specifically addressed to individuals in the European Economic Area. As described in the Privacy Policy and Terms of Use, this website utilizes cookies, including for the purpose of offering an optimal online experience and services tailored to your preferences.

Please read the entire Privacy Policy and Terms of Use. By closing this message, browsing this website, continuing the navigation, or otherwise continuing to use the APA's websites, you confirm that you understand and accept the terms of the Privacy Policy and Terms of Use, including the utilization of cookies.

×
Letters to the EditorFull Access

A Reckoning and Research Agenda for Neuroimaging in Psychiatry: Response to Henderson et al.

To the Editor: I thank Henderson et al. (1) for their interest in my review article in the Journal (2) and for their enthusiasm in bringing neuroimaging to real-world clinical care. Their point is mainly that additional, important forms of neuroimaging beyond functional MRI (fMRI) were not described in detail in my article. Although it is certainly true that there are many useful brain imaging tools available today, MRI-based research is presently the dominant modality in psychiatric neuroscience investigations. As such, as my primary goal was to examine the conceptual models guiding (or in some cases, misguiding) our research efforts and theoretical models of disease and treatment, I focused primarily on MRI. Indeed, regardless of method, my central thesis is that it is the broader conceptual framework in which these methods are used that is most problematic.

Likewise, I agree with Henderson et al. that consideration of ultimate clinical translation is critical. To that effect, I briefly highlighted the important role that EEG can play. For example, we have recently found that a particular EEG connectivity method can reveal resting-state fMRI-like network structure (3), distinguish response to an antidepressant medication and placebo when assessed prior to treatment (4), and provide rich data to support robust individual-level treatment prediction through machine learning (5). Indeed, given the use of radioactivity and the higher cost (relative to EEG) of positron emission tomography or single-photon emission computed tomography, as advocated for by Henderson et al., EEG may ultimately prove to be the ideal tool for real-world applications. Nonetheless, unless the way we ask and answer questions using any form of neuroimaging changes, it is my position that little is likely to change in terms of either mechanistic insight or creation of diagnostics ready for clinical care.

Alto Neuroscience, Los Altos, Calif.; the Department of Psychiatry and Behavioral Sciences and the Wu Tsai Neurosciences Institute, Stanford University, Stanford, Calif.
Send correspondence to Dr. Etkin ().

The author’s disclosures accompany the original article; in addition, he receives equity and salary from Alto Neuroscience.

References

1 Henderson TA, Cohen P, van Lierop M, et al.: A reckoning to keep doing what we are already doing with PET and SPECT functional neuroimaging (letter). Am J Psychiatry 2020; 177:637–638AbstractGoogle Scholar

2 Etkin A: A reckoning and research agenda for neuroimaging in psychiatry. Am J Psychiatry 2019; 176:507–511LinkGoogle Scholar

3 Toll RT, Wu W, Naparstek S, et al.: An electroencephalography connectomic profile of posttraumatic stress disorder. Am J Psychiatry 2020; 177:233–243LinkGoogle Scholar

4 Rolle CE, Fonzo GA, Wu W, et al.: Cortical connectivity moderators of antidepressant vs placebo treatment response in major depressive disorder: secondary analysis of a randomized clinical trial. JAMA Psychiatry (Epub ahead of print, Jan 2, 2020)Google Scholar

5 Wu W, Zhang Y, Jiang J, et al.: An electroencephalographic signature predicts antidepressant response in major depression. Nat Biotechnol 2020; 38:439–447Crossref, MedlineGoogle Scholar