Neurons derived from patients with bipolar disorder divide into intrinsically different sub-populations of neurons, predicting the patients' responsiveness to lithium

S. Stern; R. Santos; M. C. Marchetto; A. P.D. Mendes; G. A. Rouleau; S. Biesmans; Q. W. Wang; J. Yao; P. Charnay; A. G. Bang; M. Alda; F. H. Gage

doi:10.1038/mp.2016.260

Neurons derived from patients with bipolar disorder divide into intrinsically different sub-populations of neurons, predicting the patients' responsiveness to lithium

S. Stern, R. Santos, M. C. Marchetto, A. P.D. Mendes, G. A. Rouleau, S. Biesmans, Q. W. Wang, J. Yao, P. Charnay, A. G. Bang, M. Alda, F. H. Gage

Research output: Contribution to journal › Article › peer-review

114 Citations (Scopus)

Original language	English
Pages (from-to)	1453-1465
Number of pages	13
Journal	Molecular Psychiatry
Volume	23
Issue number	6
DOIs	https://doi.org/10.1038/mp.2016.260
Publication status	Published - Jun 1 2018
Externally published	Yes

ASJC Scopus Subject Areas

Molecular Biology
Psychiatry and Mental health
Cellular and Molecular Neuroscience

UN SDGs

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10.1038/mp.2016.260

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Stern, S., Santos, R., Marchetto, M. C., Mendes, A. P. D., Rouleau, G. A., Biesmans, S., Wang, Q. W., Yao, J., Charnay, P., Bang, A. G., Alda, M., & Gage, F. H. (2018). Neurons derived from patients with bipolar disorder divide into intrinsically different sub-populations of neurons, predicting the patients' responsiveness to lithium. Molecular Psychiatry, 23(6), 1453-1465. https://doi.org/10.1038/mp.2016.260

Stern, S, Santos, R, Marchetto, MC, Mendes, APD, Rouleau, GA, Biesmans, S, Wang, QW, Yao, J, Charnay, P, Bang, AG, Alda, M & Gage, FH 2018, 'Neurons derived from patients with bipolar disorder divide into intrinsically different sub-populations of neurons, predicting the patients' responsiveness to lithium', Molecular Psychiatry, vol. 23, no. 6, pp. 1453-1465. https://doi.org/10.1038/mp.2016.260

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Neurons derived from patients with bipolar disorder divide into intrinsically different sub-populations of neurons, predicting the patients' responsiveness to lithium

ASJC Scopus Subject Areas

UN SDGs

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