Aleksandra  Badura

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Dr. Aleksandra Badura

Biography

Throughout my Ph.D. studies and Postdoctoral Fellowships my work had focused on unraveling the function of the cerebellum in health and disease, encompassing two research lines: Line-1 integrated experimental techniques with modeling to investigate the mechanisms of cerebellar learning. I have established that the modulation of cerebellar activity is essential for motor learning and helped to develop a computer model that reproduces experimental data and can predict motor impairments based on neural activity. Using intravital two-photon imaging, we discovered that granule cells acquire signals predictive of motor performance . This marked a paradigm shift in the understanding of cerebellar coding. We are working on incorporating those findings into our model. Furthermore, I have developed tools for monitoring neuronal activity that advance two-photon imaging. In Line-2, I investigated the role of the cerebellum in autism spectrum disorder (ASD). We showed that cerebellar deficits are common in ASD. Recently, by disrupting cerebellar activity during different stages of development, we established a critical period during which specific cerebellar regions are crucial for non-motor behaviors. This work has been made possible by the VENI-ZonMw grant. In June 2018 I was awarded a VIDI-ZonMw grant to work on understanding the cerebello-cerebral networks underlying shared autistic traits.

Education

2011

PhD in Neuroscience

in Erasmus University (the Netherlands)

2006

Masters Degree in Psychology

in Jagiellonian University (Poland)

Honors & Awards

2018

Vidi NWO

ZonMw

2014

Veni NWO

ZonMw

2005

Erasmus Exchange Program

EU

Publications

1. Normal cognitive and social development require posterior cerebellar activity

Badura A., Verpeut J.L., Metzger J.W, Pereira T.D, Pisano T.J., Deverett B., Bakshinskaya D.E., Wang S.S.-H
in eLife 2018

2. Cerebellar Granule Cells: Dense, Rich and Evolving Representations.

3. Cerebellar granule cells acquire a widespread predictive feedback signal during motor learning.

Giovannucci A, Badura A, Deverett B, Najafi F, Pereira TD, Gao Z, Ozden I, Kloth AD, Pnevmatikakis E, Paninski L, De Zeeuw CI, Medina JF, Wang SS
in Nature neuroscience 2017

4. Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments.

in Scientific reports 2016

5. Cerebellar associative sensory learning defects in five mouse autism models.

Kloth A.D., Badura A., Li A., Cherskov A., Connolly S.G., Giovannucci A., Bangash M.A., Grasselli G., Peñagarikano O., Piochon C., Tsai P.T, Geschwind D.H., Hansel C., Sahin M., Takumi T, Worley P.F.,Wang S.S.-H
in eLife 2015

6. A cerebellar learning model of Vestibulo-Ocular Reflex adaptation in wild-type and mutant mice

Clopath, C., Badura, A., De Zeeuw, C. I. and Brunel, N.
in Journal of Neuroscience 2014

7. The Cerebellum, Sensitive Periods, and Autism

Wang S.S.-H, Kloth A.D., Badura A.
in Neuron 2014

8. Fast calcium sensor proteins for monitoring neural activity

Badura A., Sun X.R., Giovannucci A., Lynch L.A., Wang S.S.-H.
in Neurophotonics 2014

9. Climbing fiber input shapes reciprocity of Purkinje cell firing.

Badura A, Schonewille M, Voges K, Galliano E, Renier N, Gao Z, Witter L, Hoebeek FE, Chédotal A, De Zeeuw CI
in Neuron 2013

10. Fast GCaMPs for improved tracking of neuronal activity

Sun X.R.*, Badura A.*, Pacheco D.A., Lynch L.A., Schneider E.R., Taylor M.P., Hogue I.B., Enquist L.W., Murthy M., Wang S.S.-H.
in Nature Communications 2013
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