The human connectome in health and psychopathology

World Psychiatry

Volumn 14, Issue 2, 2015, Pages 154-157

  Van Essen, David C ^a   Barch, Deanna M ^b  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b WASHINGTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN CORTEX; BRAIN FUNCTION; BRAIN MAPPING; BRAIN REGION; COGNITION; CONNECTOME; FUNCTIONAL NEUROIMAGING; HUMAN; MENTAL DISEASE; NERVE CELL; NERVE CELL PLASTICITY; OBSESSIVE COMPULSIVE DISORDER; PRIORITY JOURNAL; REVIEW; RISK FACTOR;

EID: 84930434554     PISSN: 17238617     EISSN: 20515545     Source Type: Journal    
DOI: 10.1002/wps.20228     Document Type: Review

References (29)

1. DeRubeis RJ, Cohen ZD, Forand NR, et al., The Personalized Advantage Index: translating research on prediction into individualized treatment recommendations. A demonstration. PLoS One 2014; 9: e83875.
2. Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 2014; 511: 421-7.
3. Azevedo FA, Carvalho LR, Grinberg LT, et al., Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol 2009; 513: 532-41.
4. Pakkenberg B, Pelvig D, Marner L, et al., Aging and the human neocortex. Exp Gerontol 2003; 38: 95-9.
5. Markov NT, Ercsey-Ravasz MM, Ribeiro Gomes AR, et al., A weighted and directed interareal connectivity matrix for macaque cerebral cortex. Cereb Cortex 2012; 24: 17-36.
6. Van Essen DC, Jbabdi S, Sotiropoulos SN, et al., Mapping connections in humans and nonhuman primates: aspirations and challenges for diffusion imaging. In:, Johansen-Berg H, Behrens T, (eds). Diffusion MRI, 2nd ed. Amsterdam: Academic Press, 2014: 337-58.
7. Hillman EM,. Coupling mechanism and significance of the BOLD signal: a status report. Annu Rev Neurosci 2014; 37: 161-81.
8. Dosenbach NU, Fair DA, Miezin FM, et al., Distinct brain networks for adaptive and stable task control in humans. Proc Natl Acad Sci USA 2007; 104: 11073-8.
9. Castellanos FX, Di Martino A, Craddock RC, et al., Clinical applications of the functional connectome. NeuroImage 2013; 80: 527-40.
10. Piras F, Piras F, Caltagirone C, et al., Brain circuitries of obsessive compulsive disorder: a systematic review and meta-analysis of diffusion tensor imaging studies. Neurosci Biobehav Rev 2013; 37: 2856-77.
11. Canu E, Agosta F, Filippi M,. A selective review of structural connectivity abnormalities of schizophrenic patients at different stages of the disease. Schizophr Res 2015; 161: 19-28.
12. Baker JT, Holmes AJ, Masters GA, et al., Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder. JAMA Psychiatry 2014; 71: 109-18.
13. Anticevic A, Savic A, Repovs G, et al., Ventral anterior cingulate connectivity distinguished nonpsychotic bipolar illness from psychotic bipolar disorder and schizophrenia. Schizophr Bull 2015; 41: 133-43.
14. Cole MW, Anticevic A, Repovs G, et al., Variable global dysconnectivity and individual differences in schizophrenia. Biol Psychiatry 2011; 70: 43-50.
15. Spielberg JM, Miller GA, Warren SL, et al., Transdiagnostic dimensions of anxiety and depression moderate motivation-related brain networks during goal maintenance. Depress Anxiety 2014; 31: 805-13.
16. Insel T, Cuthbert B, Garvey M, et al., Research Domain Criteria (RDoC): toward a new classification framework for research on mental disorders. Am J Psychiatry 2010; 167: 748-51.
17. Cuthbert BN,. The RDoC framework: classificating transition from ICD/DSM to dimensional approaches that integrate neuroscience and psychopathology. World Psychiatry 2014; 13: 28-35.
18. Delorenzo C, Delaparte L, Thapa-Chhetry B, et al., Prediction of selective serotonin reuptake inhibitor response using diffusion-weighted MRI. Front Psychiatry 2013; 4: 5.
19. Dichter GS, Gibbs D, Smoski MJ,. A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder. J Affect Disord 2014; 172C: 8-17.
20. Luking KR, Repovs G, Belden AC, et al., Functional connectivity of the amygdala in early-childhood-onset depression. J Am Acad Child Adolesc Psychiatry 2011; 50: 1027-41.
21. Clauss JA, Seay AL, VanDerKlok RM, et al., Structural and functional bases of inhibited temperament. Soc Cogn Affect Neurosci 2014; 9: 2049-58.
22. Lewis JD, Evans AC, Pruett JR, et al., Network inefficiencies in autism spectrum disorder at 24 months. Transl Psychiatry 2014; 4: e388.
23. Van Essen DC, Smith S, Barch D, et al., The WU-Minn Human Connectome Project: an overview. Neuroimage 2013; 62: 1299-310.
24. Ugurbil K, Xu J, Auerbach EJ, et al., Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. Neuroimage 2013; 80: 80-104.
25. Smith SM, Andersson J, Auerbach EJ, et al., Resting-state fMRI in the Human Connectome Project. Neuroimage 2013; 80: 144-68.
26. Setsompop K, Kimmlingen R, Eberlein E, et al., Pushing the limits of in vivo diffusion MRI for the Human Connectome Project. Neuroimage 2013; 80: 220-33.
27. Sotiropoulos SN, Jbabdi S, Xu J, et al., Advances in diffusion MRI acquisition and processing in the Human Connectome Project. Neuroimage 2013; 80: 125-43.
28. Glasser MF, Sotiropoulos SN, Wilson JA, et al., The minimal preprocessing pipelines for the Human Connectome Projects. Neuroimage 2013; 80: 105-24.
29. Anticevic A, Gancsos M, Murray JD, et al., NMDA receptor function in large-scale anticorrelated neural systems with implications for cognition and schizophrenia. Proc Natl Acad Sci USA 2012; 109: 16720-5.