Modeling brain, symptom, and behavior in the winds of change.

Publisher: Nature Publishing Group Country of Publication: England NLM ID: 8904907 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1740-634X (Electronic) Linking ISSN: 0893133X NLM ISO Abbreviation: Neuropsychopharmacology Subsets: MEDLINE

Publication: 2003- : London : Nature Publishing Group
Original Publication: [New York, NY] : Elsevier, [c1987-

Brain*; Humans

Neuropsychopharmacology addresses pressing questions in the study of three intertwined complex systems: the brain, human behavior, and symptoms of illness. The field seeks to understand the perturbations that impinge upon those systems, either driving greater health or illness. In the pursuit of this aim, investigators often perform analyses that make certain assumptions about the nature of the systems that are being perturbed. Those assumptions can be encoded in powerful computational models that serve to bridge the wide gulf between a descriptive analysis and a formal theory of a system's response. Here we review a set of three such models along a continuum of complexity, moving from a local treatment to a network treatment: one commonly applied form of the general linear model, impulse response models, and network control models. For each, we describe the model's basic form, review its use in the field, and provide a frank assessment of its relative strengths and weaknesses. The discussion naturally motivates future efforts to interlink data analysis, computational modeling, and formal theory. Our goal is to inspire practitioners to consider the assumptions implicit in their analytical approach, align those assumptions to the complexity of the systems under study, and take advantage of exciting recent advances in modeling the relations between perturbations and system function.

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R01 MH107235 United States MH NIMH NIH HHS; F30 MH118871 United States MH NIMH NIH HHS; R01-MH112847 United States MH NIMH NIH HHS; R01 GM116920 United States GM NIGMS NIH HHS; R21-M MH-106799 United States MH NIMH NIH HHS; 2-R01-DC-009209-11 United States MH NIMH NIH HHS; K01 DA047417 United States DA NIDA NIH HHS

Date Created: 20200830 Date Completed: 20210623 Latest Revision: 20240523

20240524

PMC7689481

10.1038/s41386-020-00805-6

32859996