The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Functional brain imaging studies of youth depression: A systematic review
Open accessAbstract
BACKGROUND: There is growing interest in understanding the neurobiology of major depressive disorder (MDD) in youth, particularly in the context of neuroimaging studies. This systematic review provides a timely comprehensive account of the available functional magnetic resonance imaging (fMRI) literature in youth MDD. METHODS: A literature search was conducted using PubMED, PsycINFO and Science Direct databases, to identify fMRI studies in younger and older youth with MDD, spanning 13-18 and 19-25 years of age, respectively. RESULTS: Twenty-eight studies focusing on 5 functional imaging domains were identified, namely emotion processing, cognitive control, affective cognition, reward processing and resting-state functional connectivity. Elevated activity in "extended medial network" regions including the anterior cingulate, ventromedial and orbitofrontal cortices, as well as the amygdala was most consistently implicated across these five domains. For the most part, findings in younger adolescents did not differ from those in older youth; however a general comparison of findings in both groups compared to adults indicated differences in the domains of cognitive control and affective cognition. CONCLUSIONS: Youth MDD is characterized by abnormal activations in ventromedial frontal regions, the anterior cingulate and amygdala, which are broadly consistent with the implicated role of medial network regions in the pathophysiology of depression. Future longitudinal studies examining the effects of neurodevelopmental changes and pubertal maturation on brain systems implicated in youth MDD will provide a more comprehensive neurobiological model of youth depression.
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Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
How do you feel? Interoception: The sense of the physiological condition of the body
Craig, A. D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn894 · Cited by 6,006
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 6×
“However, to date, most studies of youth MDD have examined restricted age ranges that typically end at age 18 despite the fact that neuroimaging studies of adolescent brain development have shown that maturation of prefrontal cortical brain regions continues well into early adulthood (Gogtay et al., 2004; Sowell et al.…”
BackgroundInfluentialFunctional neuroanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI
Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I. (2002) · NeuroImage · doi:10.1006/nimg.2002.1087 · Cited by 3,502
Neural systems supporting interoceptive awareness
Critchley, H. D., Wiens, S., Rotshtein, P., Öhman, A., & Dolan, R. J. (2004) · Nature Neuroscience · doi:10.1038/nn1176 · Cited by 3,406 · cited 2×
“sympathetic arousal) (Craig, 2002) and activity in these regions has been shown to correlate with physiological measures of autonomic arousal (Critchley et al., 2005; Critchley et al., 2004; Evans et al., 2009).”
BackgroundEtkin, A., & Wager, T. D. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07030504 · Cited by 3,391 · cited 1×
“Further, in addition to accumulating evidence for the role of the amygdala in depression, abnormal amygdala activity is implicated inmanypsychiatric disorders, in particular anxiety disorders (see Etkin and Wager, 2007 for review).”
BackgroundCasey, B. J., Jones, R. M., & Hare, T. A. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.010 · Cited by 3,345
Cited by
McCrory, E. J., Gerin, M. I., & Viding, E. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12713 · Cited by 402
Stringaris, A., Vidal-Ribas Belil, P., Artiges, E., Lemaitre, H., Gollier-Briant, F., Wolke, S., Vulser, H., Miranda, R., Penttilä, J., Struve, M., et al. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14101298 · Cited by 322
McCrory, E. J., & Viding, E. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000115 · Cited by 295
Marwood, L., Wise, T., Perkins, A. M., & Cleare, A. J. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.09.022 · Cited by 251
Meta-analysis of functional neuroimaging of major depressive disorder in youth
Miller, C. H., Hamilton, J. P., Sacchet, M. D., & Gotlib, I. H. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.1376 · Cited by 229
Metadata
- Authors
- Kerestes, R., Davey, C. G., Stephanou, K., Whittle, S., & Harrison, B. J.
- Venue
- NeuroImage: Clinical
- Publisher
- Elsevier BV
- Published
- 2014
- Volume
- 4
- Pages
- 209-231
- ISSN
- 2213-1582 (ISSN-L)
- OpenAlex
- W2062930891
- Cited by
- 303
- References
- 68
- FWCI
- 1.74
- Type
- journal article
- Language
- en
- Open access
- gold
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