Literature DB >> 31256624

A Reckoning and Research Agenda for Neuroimaging in Psychiatry.

Amit Etkin1.   

Abstract

Human neuroimaging has been a core component of both research in psychiatry and conceptual models of the brain circuit-level mechanisms underlying psychopathology. Despite landmark neuroimaging research over the past 25 years, we still lack the level of precision and insight needed for bringing neuroimaging tools into clinical care contexts. This brief review examines historical research trends in psychiatric neuroimaging, as well as the basic assumptions underlying current efforts, in order to understand factors that have limited the impact of neuroimaging efforts thus far. These factors include the pitfalls of case-control designs, confounders inherent in associational research approaches, and the challenges in embracing fully data-driven analyses. Several critical gaps emerge, the addressing of which could provide the critical new insights that have long been sought from neuroimaging. These include transitioning from group-to individual-level analyses (and through this to intervention studies carried out robustly at the level of individual patients), building "big data" from a longitudinal perspective and not only a cross-sectional one, a greater focus on identifying causal mechanisms, and the development of tools such as electroencephalography in addition to the dominant MRI methods to aid translation to real-world clinical care. Despite the still-unrealized potential of psychiatric neuroimaging, there is now much to be excited about as previous learnings are converted into fundamentally new directions. Indeed, we may now be at an inflection point for neuroimaging if the typical study designs are left in the past and the field systematically and thoughtfully embraces the challenges that the past 25 years of research have now made apparent.

Entities:  

Keywords:  Neuroimaging; Psychopathology

Mesh:

Year:  2019        PMID: 31256624     DOI: 10.1176/appi.ajp.2019.19050521

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  21 in total

Review 1.  Translational application of neuroimaging in major depressive disorder: a review of psychoradiological studies.

Authors:  Ziqi Chen; Xiaoqi Huang; Qiyong Gong; Bharat B Biswal
Journal:  Front Med       Date:  2021-01-29       Impact factor: 4.592

2.  Clinical translational neuroimaging of the antioxidant effect of N-acetylcysteine on neural microstructure.

Authors:  Sue Y Yi; Brian R Barnett; McKenzie J Poetzel; Nicholas A Stowe; John-Paul J Yu
Journal:  Magn Reson Med       Date:  2021-09-30       Impact factor: 4.668

Review 3.  Predicting the future of neuroimaging predictive models in mental health.

Authors:  Link Tejavibulya; Max Rolison; Siyuan Gao; Qinghao Liang; Hannah Peterson; Javid Dadashkarimi; Michael C Farruggia; C Alice Hahn; Stephanie Noble; Sarah D Lichenstein; Angeliki Pollatou; Alexander J Dufford; Dustin Scheinost
Journal:  Mol Psychiatry       Date:  2022-06-13       Impact factor: 13.437

4.  Research Domain Criteria (RDoC): Progress and Potential.

Authors:  Bruce N Cuthbert
Journal:  Curr Dir Psychol Sci       Date:  2022-03-01

Review 5.  Causal mapping of human brain function.

Authors:  Shan H Siddiqi; Konrad P Kording; Josef Parvizi; Michael D Fox
Journal:  Nat Rev Neurosci       Date:  2022-04-20       Impact factor: 38.755

6.  Neuroimaging correlates of emotional response-inhibition discriminate between young depressed adults with and without sub-threshold bipolar symptoms (Emotional Response-inhibition in Young Depressed Adults).

Authors:  Jungwon Cha; Sidra Speaker; Bo Hu; Murat Altinay; Parashar Koirala; Harish Karne; Jeffrey Spielberg; Amy Kuceyeski; Elvisha Dhamala; Amit Anand
Journal:  J Affect Disord       Date:  2020-12-10       Impact factor: 4.839

Review 7.  Pushing the Boundaries of Psychiatric Neuroimaging to Ground Diagnosis in Biology.

Authors:  Manish Saggar; Lucina Q Uddin
Journal:  eNeuro       Date:  2019-11-15

8.  Intrinsic connectivity of the prefrontal cortex and striato-limbic system respectively differentiate major depressive from generalized anxiety disorder.

Authors:  Xiaolei Xu; Jing Dai; Yuanshu Chen; Congcong Liu; Fei Xin; Xinqi Zhou; Feng Zhou; Emmanuel A Stamatakis; Shuxia Yao; Lizhu Luo; Yulan Huang; Jinyu Wang; Zhili Zou; Deniz Vatansever; Keith M Kendrick; Bo Zhou; Benjamin Becker
Journal:  Neuropsychopharmacology       Date:  2020-09-22       Impact factor: 7.853

9.  Towards a brain-based predictome of mental illness.

Authors:  Barnaly Rashid; Vince Calhoun
Journal:  Hum Brain Mapp       Date:  2020-05-06       Impact factor: 5.038

Review 10.  Imaging the socially-anxious brain: recent advances and future prospects.

Authors:  Janna Marie Bas-Hoogendam; P Michiel Westenberg
Journal:  F1000Res       Date:  2020-04-02
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