Literature DB >> 24438507

Annual research review: Current limitations and future directions in MRI studies of child- and adult-onset developmental psychopathologies.

Guillermo Horga1, Tejal Kaur, Bradley S Peterson.   

Abstract

BACKGROUND: The widespread use of Magnetic Resonance Imaging (MRI) in the study of child- and adult-onset developmental psychopathologies has generated many investigations that have measured brain structure and function in vivo throughout development, often generating great excitement over our ability to visualize the living, developing brain using the attractive, even seductive images that these studies produce. Often lost in this excitement is the recognition that brain imaging generally, and MRI in particular, is simply a technology, one that does not fundamentally differ from any other technology, be it a blood test, a genotyping assay, a biochemical assay, or behavioral test. No technology alone can generate valid scientific findings. Rather, it is only technology coupled with a strong experimental design that can generate valid and reproducible findings that lead to new insights into the mechanisms of disease and therapeutic response.
METHODS: In this review we discuss selected studies to illustrate the most common and important limitations of MRI study designs as most commonly implemented thus far, as well as the misunderstanding that the interpretations of findings from those studies can create for our theories of developmental psychopathologies.
RESULTS: Common limitations of MRI study designs are in large part responsible thus far for the generally poor reproducibility of findings across studies, poor generalizability to the larger population, failure to identify developmental trajectories, inability to distinguish causes from effects of illness, and poor ability to infer causal mechanisms in most MRI studies of developmental psychopathologies. For each of these limitations in study design and the difficulties they entail for the interpretation of findings, we discuss various approaches that numerous laboratories are now taking to address those difficulties, which have in common the yoking of brain imaging technologies to studies with inherently stronger designs that permit more valid and more powerful causal inferences. Those study designs include epidemiological, longitudinal, high-risk, clinical trials, and multimodal imaging studies.
CONCLUSIONS: We highlight several studies that have yoked brain imaging technologies to these stronger designs to illustrate how doing so can aid our understanding of disease mechanisms and in the foreseeable future can improve clinical diagnosis, prevention, and treatment planning for developmental psychopathologies.
© 2014 The Authors. Journal of Child Psychology and Psychiatry © 2014 Association for Child and Adolescent Mental Health.

Entities:  

Keywords:  Brain imaging; development; magnetic resonance imaging; psychopathology; study design

Mesh:

Year:  2014        PMID: 24438507      PMCID: PMC4029914          DOI: 10.1111/jcpp.12185

Source DB:  PubMed          Journal:  J Child Psychol Psychiatry        ISSN: 0021-9630            Impact factor:   8.982


  130 in total

1.  How can we learn about developmental processes from cross-sectional studies, or can we?

Authors:  H C Kraemer; J A Yesavage; J L Taylor; D Kupfer
Journal:  Am J Psychiatry       Date:  2000-02       Impact factor: 18.112

Review 2.  An fMRI study of Stroop word-color interference: evidence for cingulate subregions subserving multiple distributed attentional systems.

Authors:  B S Peterson; P Skudlarski; J C Gatenby; H Zhang; A W Anderson; J C Gore
Journal:  Biol Psychiatry       Date:  1999-05-15       Impact factor: 13.382

3.  A multimodal imaging study in U.S. veterans of Operations Iraqi and Enduring Freedom with and without major depression after blast-related concussion.

Authors:  Scott C Matthews; Irina A Strigo; Alan N Simmons; Ryan M O'Connell; Lindsay E Reinhardt; Suzanne A Moseley
Journal:  Neuroimage       Date:  2010-05-06       Impact factor: 6.556

4.  The counting Stroop: an interference task specialized for functional neuroimaging--validation study with functional MRI.

Authors:  G Bush; P J Whalen; B R Rosen; M A Jenike; S C McInerney; S L Rauch
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

5.  Pervasive developmental disorders in preschool children: confirmation of high prevalence.

Authors:  Suniti Chakrabarti; Eric Fombonne
Journal:  Am J Psychiatry       Date:  2005-06       Impact factor: 18.112

6.  Regional 133xenon cerebral blood flow and cerebral 99mTc-HMPAO uptake in patients with obsessive-compulsive disorder before and during treatment.

Authors:  R T Rubin; J Ananth; J Villanueva-Meyer; P G Trajmar; I Mena
Journal:  Biol Psychiatry       Date:  1995-10-01       Impact factor: 13.382

7.  Brain anomalies in children exposed prenatally to a common organophosphate pesticide.

Authors:  Virginia A Rauh; Frederica P Perera; Megan K Horton; Robin M Whyatt; Ravi Bansal; Xuejun Hao; Jun Liu; Dana Boyd Barr; Theodore A Slotkin; Bradley S Peterson
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-30       Impact factor: 11.205

8.  The NIH MRI study of normal brain development (Objective-2): newborns, infants, toddlers, and preschoolers.

Authors:  C R Almli; M J Rivkin; R C McKinstry
Journal:  Neuroimage       Date:  2007-01-18       Impact factor: 6.556

9.  Regional cerebral blood flow measured during symptom provocation in obsessive-compulsive disorder using oxygen 15-labeled carbon dioxide and positron emission tomography.

Authors:  S L Rauch; M A Jenike; N M Alpert; L Baer; H C Breiter; C R Savage; A J Fischman
Journal:  Arch Gen Psychiatry       Date:  1994-01

10.  Magnetic resonance imaging in late-life depression: multimodal examination of network disruption.

Authors:  Claire E Sexton; Charlotte L Allan; Marisa Le Masurier; Lisa M McDermott; Ukwuori G Kalu; Lucie L Herrmann; Matthias Mäurer; Kevin M Bradley; Clare E Mackay; Klaus P Ebmeier
Journal:  Arch Gen Psychiatry       Date:  2012-07
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  17 in total

1.  The search for imaging biomarkers in psychiatric disorders.

Authors:  Anissa Abi-Dargham; Guillermo Horga
Journal:  Nat Med       Date:  2016-10-26       Impact factor: 53.440

2.  Commentary: The best and worst of times--the prospects for magnetic resonance imaging (MRI) of developmental psychopathologies--a commentary on Horga et al. (2014).

Authors:  Francisco X Castellanos; Yuliya Yoncheva
Journal:  J Child Psychol Psychiatry       Date:  2014-06       Impact factor: 8.982

3.  Hyperperfusion of Frontal White and Subcortical Gray Matter in Autism Spectrum Disorder.

Authors:  Bradley S Peterson; Ariana Zargarian; Jarod B Peterson; Suzanne Goh; Siddhant Sawardekar; Steven C R Williams; David J Lythgoe; Fernando O Zelaya; Ravi Bansal
Journal:  Biol Psychiatry       Date:  2018-12-21       Impact factor: 13.382

Review 4.  An Overview of Conceptualizations of Eating Disorder Recovery, Recent Findings, and Future Directions.

Authors:  Anna M Bardone-Cone; Rowan A Hunt; Hunna J Watson
Journal:  Curr Psychiatry Rep       Date:  2018-08-09       Impact factor: 5.285

Review 5.  Towards a Multivariate Biomarker-Based Diagnosis of Autism Spectrum Disorder: Review and Discussion of Recent Advancements.

Authors:  Troy Vargason; Genevieve Grivas; Kathryn L Hollowood-Jones; Juergen Hahn
Journal:  Semin Pediatr Neurol       Date:  2020-03-05       Impact factor: 1.636

6.  The association between antidepressant treatment and brain connectivity in two double-blind, placebo-controlled clinical trials: a treatment mechanism study.

Authors:  Yun Wang; Joel Bernanke; Bradley S Peterson; Patrick McGrath; Jonathan Stewart; Ying Chen; Seonjoo Lee; Melanie Wall; Vanessa Bastidas; Susie Hong; Bret R Rutherford; David J Hellerstein; Jonathan Posner
Journal:  Lancet Psychiatry       Date:  2019-06-24       Impact factor: 27.083

Review 7.  Alterations in Structural and Functional Connectivity in ADHD: Implications for Theories of ADHD.

Authors:  Karen González-Madruga; Marlene Staginnus; Graeme Fairchild
Journal:  Curr Top Behav Neurosci       Date:  2022

8.  The Effects of Working Memory Capacity in Metaphor and Metonymy Comprehension in Mandarin-English Bilinguals' Minds: An fMRI Study.

Authors:  Chia-Hsin Yin; Fan-Pei Gloria Yang
Journal:  Brain Sci       Date:  2022-05-11

9.  Neuroimaging of learning and development: improving ecological validity.

Authors:  Nienke van Atteveldt; Marlieke T R van Kesteren; Barbara Braams; Lydia Krabbendam
Journal:  Frontline Learn Res       Date:  2018

10.  Reduced perfusion in Broca's area in developmental stuttering.

Authors:  Jay Desai; Yuankai Huo; Zhishun Wang; Ravi Bansal; Steven C R Williams; David Lythgoe; Fernando O Zelaya; Bradley S Peterson
Journal:  Hum Brain Mapp       Date:  2016-12-30       Impact factor: 5.038

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