Abstract
Prolonged behavioral challenges can cause animals to switch from active to passive coping strategies to manage effort-expenditure during stress; such normally adaptive behavioral state transitions can become maladaptive in psychiatric disorders such as depression. The underlying neuronal dynamics and brainwide interactions important for passive coping have remained unclear. Here, we develop a paradigm to study these behavioral state transitions at cellular-resolution across the entire vertebrate brain. Using brainwide imaging in zebrafish, we observed that the transition to passive coping is manifested by progressive activation of neurons in the ventral (lateral) habenula. Activation of these ventral-habenula neurons suppressed downstream neurons in the serotonergic raphe nucleus and caused behavioral passivity, whereas inhibition of these neurons prevented passivity. Data-driven recurrent neural network modeling pointed to altered intra-habenula interactions as a contributory mechanism. These results demonstrate ongoing encoding of experience features in the habenula, which guides recruitment of downstream networks and imposes a passive coping behavioral strategy. Brainwide imaging in zebrafish and network modeling reveal that switching from active to passive coping state arises from progressive activation of habenular neurons in response to behavioral challenge.
Original language | English |
---|---|
Pages (from-to) | 970-985.e20 |
Journal | Cell |
Volume | 177 |
Issue number | 4 |
DOIs | |
State | Published - 2 May 2019 |
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Neuronal Dynamics Regulating Brain and Behavioral State Transitions. / Andalman, Aaron S.; Burns, Vanessa M.; Lovett-Barron, Matthew et al.
In: Cell, Vol. 177, No. 4, 02.05.2019, p. 970-985.e20.Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Neuronal Dynamics Regulating Brain and Behavioral State Transitions
AU - Andalman, Aaron S.
AU - Burns, Vanessa M.
AU - Lovett-Barron, Matthew
AU - Broxton, Michael
AU - Poole, Ben
AU - Yang, Samuel J.
AU - Grosenick, Logan
AU - Lerner, Talia N.
AU - Chen, Ritchie
AU - Benster, Tyler
AU - Mourrain, Philippe
AU - Levoy, Marc
AU - Rajan, Kanaka
AU - Deisseroth, Karl
N1 - Funding Information: We thank Misha Ahrens for providing the Tg(elavl3:H2B-GCaMP6s); Hitoshi Okamoto for Tg(ppp1r14ab:GAL4VP16; UAS:hChR2-mCherry), Tg(dao:Gal4-VP16), and Tg(dao:Cre-mCherry; vglut2a:loxP-DsRed-loxP-GFP); Herwig Baier for Tg(UAS:NpHR-mCherry); Harold Burgess and Carlos Pantoja for Tg(tph2:Gal4ff); and the Zebrafish International Resource Center for wild-type and Nacre zebrafish. We thank Brian Grone, Louis Leung, and Romain Madeline for providing zebrafish used to collect preliminary data and for advice on working with zebrafish. We thank Noah Young, Eugene Carter, and Ted Scharff for software contributions and analysis advice. We thank Joshua Jennings, Nandini Pichamoorthy, Connie Lee, Alice Shi On Hong, Dave Schumacher, and Susan Murphy for assistance with zebrafish husbandry. We thank Sally Pak, Charu Ramakrishnan, Ai-Chi Wang, and Cynthia Delacruz for administrative support. We thank the entire Deisseroth lab for feedback and support. We thank Lizzy Griffiths for zebrafish drawing. A.S.A. is a Fellow of the Helen Hay Whitney Foundation , a NARSAD Young Investigator, and a recipient of an Amazon Web Services Research Grant. V.M.B. is supported by a NSF Graduate Research Fellowship. M.L.-B. is a Howard Hughes Medical Institute Fellow of the Helen Hay Whitney Foundation , NARSAD Young Investigator, and is supported by a K99/R00 award from NIMH ( K99MH112840 ). M.B. is supported by a National Defense Science and Engineering Graduate fellowship. B.P. is supported by Stanford MBC IGERT Fellowship and Stanford Interdisciplinary Graduate Fellowship. S.J.Y. is supported by the US Department of Defense National Defense Science and Engineering Graduate Fellowship. L.G. is supported by the NSF Integrative Graduate Education and Research Traineeship (IGERT) fellowship. T.N.L. is supported by a K99/R00 award from the NIMH ( K99MH109569 ). T.B. is a Lucille P. Markey Charitable Trust Biomedical Research Fellow. P.M. is supported by the NIDDK , NINDS , NIMH , NIA , BrightFocus Foundation , Simons Foundation , and John Merck Fund . K.R. is a NARSAD Young Investigator and is supported by a Sloan Fellowship and an Understanding Human Cognition Scholar award from the James S. McDonnell Foundation . K.D. is supported by the NIMH , NIDA , DARPA , NSF , Wiegers Family Fund , AE Foundation , Tarlton Foundation , and Gatsby Foundation . Funding Information: We thank Misha Ahrens for providing the Tg(elavl3:H2B-GCaMP6s); Hitoshi Okamoto for Tg(ppp1r14ab:GAL4VP16; UAS:hChR2-mCherry), Tg(dao:Gal4-VP16), and Tg(dao:Cre-mCherry; vglut2a:loxP-DsRed-loxP-GFP); Herwig Baier for Tg(UAS:NpHR-mCherry); Harold Burgess and Carlos Pantoja for Tg(tph2:Gal4ff); and the Zebrafish International Resource Center for wild-type and Nacre zebrafish. We thank Brian Grone, Louis Leung, and Romain Madeline for providing zebrafish used to collect preliminary data and for advice on working with zebrafish. We thank Noah Young, Eugene Carter, and Ted Scharff for software contributions and analysis advice. We thank Joshua Jennings, Nandini Pichamoorthy, Connie Lee, Alice Shi On Hong, Dave Schumacher, and Susan Murphy for assistance with zebrafish husbandry. We thank Sally Pak, Charu Ramakrishnan, Ai-Chi Wang, and Cynthia Delacruz for administrative support. We thank the entire Deisseroth lab for feedback and support. We thank Lizzy Griffiths for zebrafish drawing. A.S.A. is a Fellow of the Helen Hay Whitney Foundation, a NARSAD Young Investigator, and a recipient of an Amazon Web Services Research Grant. V.M.B. is supported by a NSF Graduate Research Fellowship. M.L.-B. is a Howard Hughes Medical Institute Fellow of the Helen Hay Whitney Foundation, NARSAD Young Investigator, and is supported by a K99/R00 award from NIMH (K99MH112840). M.B. is supported by a National Defense Science and Engineering Graduate fellowship. B.P. is supported by Stanford MBC IGERT Fellowship and Stanford Interdisciplinary Graduate Fellowship. S.J.Y. is supported by the US Department of Defense National Defense Science and Engineering Graduate Fellowship. L.G. is supported by the NSF Integrative Graduate Education and Research Traineeship (IGERT) fellowship. T.N.L. is supported by a K99/R00 award from the NIMH (K99MH109569). T.B. is a Lucille P. Markey Charitable Trust Biomedical Research Fellow. P.M. is supported by the NIDDK, NINDS, NIMH, NIA, BrightFocus Foundation, Simons Foundation, and John Merck Fund. K.R. is a NARSAD Young Investigator and is supported by a Sloan Fellowship and an Understanding Human Cognition Scholar award from the James S. McDonnell Foundation. K.D. is supported by the NIMH, NIDA, DARPA, NSF, Wiegers Family Fund, AE Foundation, Tarlton Foundation, and Gatsby Foundation. A.S.A. V.M.B. and K.D. designed experiments. A.S.A. and V.M.B. conducted experiments. A.S.A. and V.M.B. developed hardware and software for conducting free-swimming behavioral experiments. L.G. constructed light field path with contributions from M.B. S.J.Y. and A.S.A. with supervision by M.L. M.B. A.S.A. and L.G. developed AWS pipeline for deconvolving light fields. B.P. M.B. and L.G. developed RASL software for motion correcting light field volumes. A.S.A. V.M.B. and M.L.-B. developed system for aligning light field volumes to atlas with CMTK. A.S.A. and V.M.B. developed head-fixed tail tracking hardware and software with contributions from M.L.-B. and S.J.Y. A.S.A. M.L.-B. and T.N.L. conducted in vivo intracellular recordings. A.S.A. and M.L.-B. outfitted 2P microscope for live zebrafish imaging. M.L.-B. performed staining and registration for MultiMAP. R.C. performed in situ hybridizations and imaging. A.S.A. and V.M.B. developed 2P data processing pipeline. A.S.A. and V.M.B. analyzed the data. K.R. and A.S.A. performed the computational modeling. T.B. assisted with analysis and modeling. P.M. provided zebrafish lines and infrastructure. A.S.A. V.M.B. and K.D. wrote the paper with input from all authors. K.D. supervised all aspects of the work. One of the microscopy methods used, light field microscopy, was disclosed to Stanford University by A.S.A. M.B. S.Y. L.G. M.L. and K.D. and patents have been filed by Stanford University. All methods and code are freely available from the authors as used in the paper. Publisher Copyright: © 2019 Elsevier Inc.
PY - 2019/5/2
Y1 - 2019/5/2
N2 - Prolonged behavioral challenges can cause animals to switch from active to passive coping strategies to manage effort-expenditure during stress; such normally adaptive behavioral state transitions can become maladaptive in psychiatric disorders such as depression. The underlying neuronal dynamics and brainwide interactions important for passive coping have remained unclear. Here, we develop a paradigm to study these behavioral state transitions at cellular-resolution across the entire vertebrate brain. Using brainwide imaging in zebrafish, we observed that the transition to passive coping is manifested by progressive activation of neurons in the ventral (lateral) habenula. Activation of these ventral-habenula neurons suppressed downstream neurons in the serotonergic raphe nucleus and caused behavioral passivity, whereas inhibition of these neurons prevented passivity. Data-driven recurrent neural network modeling pointed to altered intra-habenula interactions as a contributory mechanism. These results demonstrate ongoing encoding of experience features in the habenula, which guides recruitment of downstream networks and imposes a passive coping behavioral strategy. Brainwide imaging in zebrafish and network modeling reveal that switching from active to passive coping state arises from progressive activation of habenular neurons in response to behavioral challenge.
AB - Prolonged behavioral challenges can cause animals to switch from active to passive coping strategies to manage effort-expenditure during stress; such normally adaptive behavioral state transitions can become maladaptive in psychiatric disorders such as depression. The underlying neuronal dynamics and brainwide interactions important for passive coping have remained unclear. Here, we develop a paradigm to study these behavioral state transitions at cellular-resolution across the entire vertebrate brain. Using brainwide imaging in zebrafish, we observed that the transition to passive coping is manifested by progressive activation of neurons in the ventral (lateral) habenula. Activation of these ventral-habenula neurons suppressed downstream neurons in the serotonergic raphe nucleus and caused behavioral passivity, whereas inhibition of these neurons prevented passivity. Data-driven recurrent neural network modeling pointed to altered intra-habenula interactions as a contributory mechanism. These results demonstrate ongoing encoding of experience features in the habenula, which guides recruitment of downstream networks and imposes a passive coping behavioral strategy. Brainwide imaging in zebrafish and network modeling reveal that switching from active to passive coping state arises from progressive activation of habenular neurons in response to behavioral challenge.
UR - http://www.scopus.com/inward/record.url?scp=85064655858&partnerID=8YFLogxK
U2 - 10.1016/j.cell.2019.02.037
DO - 10.1016/j.cell.2019.02.037
M3 - Article
C2 - 31031000
AN - SCOPUS:85064655858
VL - 177
SP - 970-985.e20
JO - Cell
JF - Cell
SN - 0092-8674
IS - 4
ER -