Mazen A. Kheirbek

Mazen A. Kheirbek

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Mazen A. Kheirbek

Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, USA

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 April 2011 in Nature
Verified
Journal Article
Open access
PDF file
ASAmar Sahay
Amar Sahay
KSKimberly N. Scobie
Kimberly N. Scobie
AHAlexis S. Hill
Alexis S. Hill
COColin M. O'Carroll
Colin M. O'Carroll
MKMazen A. Kheirbek
Mazen A. Kheirbek
RHRené Hen
René Hen
Loss-of-function studies have implicated adult-born hippocampal neurons — as opposed to those present at birth — in learning and memory and in mediating some effects of antidepressants. Experiments using an inducible genetic gain-of-function strategy to augment the survival of adult-born neurons in mice demonstrate a causal link between increased adult hippocampal neurogenesis and enhancement of specific cognitive functions. This raises the possibility that anxiety disorders and memory impairment might be treated by stimulating adult hippocampal neurogenesis. Adult hippocampal neurogenesis is a unique form of neural circuit plasticity that results in the generation of new neurons in the dentate gyrus throughout life1,2. Neurons that arise in adults (adult-born neurons) show heightened synaptic plasticity during their maturation3 and can account for up to ten per cent of the entire granule cell population4. Moreover, levels of adult hippocampal neurogenesis are increased by interventions that are associated with beneficial effects on cognition and mood, such as learning5, environmental enrichment6, exercise6 and chronic treatment with antidepressants7,8,9,10. Together, these properties of adult neurogenesis indicate that this process could be harnessed to improve hippocampal functions. However, despite a substantial number of studies demonstrating that adult-born neurons are necessary for mediating specific cognitive functions11, as well as some of the behavioural effects of antidepressants8,9,10,12,13, it is unknown whether an increase in adult hippocampal neurogenesis is sufficient to improve cognition and mood. Here we show that inducible genetic expansion of the population of adult-born neurons through enhancing their survival improves performance in a specific cognitive task in which two similar contexts need to be distinguished. Mice with increased adult hippocampal neurogenesis show normal object recognition, spatial learning, contextual fear conditioning and extinction learning but are more efficient in differentiating between overlapping contextual representations, which is indicative of enhanced pattern separation. Furthermore, stimulation of adult hippocampal neurogenesis, when combined with an intervention such as voluntary exercise, produces a robust increase in exploratory behaviour. However, increasing adult hippocampal neurogenesis alone does not produce a behavioural response like that induced by anxiolytic agents or antidepressants. Together, our findings suggest that strategies that are designed to increase adult hippocampal neurogenesis specifically, by targeting the cell death of adult-born neurons or by other mechanisms, may have therapeutic potential for reversing impairments in pattern separation and dentate gyrus dysfunction such as those seen during normal ageing14,15.

22 February 2018 in eLife
Verified
Journal Article
Open access
PZPengcheng Zhou
Pengcheng Zhou
SRShanna L Resendez
Shanna L Resendez
JRJose Rodriguez-Romaguera
Jose Rodriguez-Romaguera
JJJessica C Jimenez
Jessica C Jimenez
SNShay Q Neufeld
Shay Q Neufeld
LPLiam Paninski
Liam Paninski
In vivo calcium imaging through microendoscopic lenses enables imaging of previously inaccessible neuronal populations deep within the brains of freely moving animals. However, it is computationally challenging to extract single-neuronal activity from microendoscopic data, because of the very large background fluctuations and high spatial overlaps intrinsic to this recording modality. Here, we describe a new constrained matrix factorization approach to accurately separate the background and then demix and denoise the neuronal signals of interest. We compared the proposed method against previous independent components analysis and constrained nonnegative matrix factorization approaches. On both simulated and experimental data recorded from mice, our method substantially improved the quality of extracted cellular signals and detected more well-isolated neural signals, especially in noisy data regimes. These advances can in turn significantly enhance the statistical power of downstream analyses, and ultimately improve scientific conclusions derived from microendoscopic data.

1 March 2013 in Neuron
Verified
Journal Article
Closed access
MKMazen A. Kheirbek
Mazen A. Kheirbek
LDLiam J. Drew
Liam J. Drew
NBNesha S. Burghardt
Nesha S. Burghardt
DCDaniel O. Costantini
Daniel O. Costantini
LTLindsay Tannenholz
Lindsay Tannenholz
RHRené Hen
René Hen

1 January 2015 in Cell
Verified
Journal Article
Closed access
DWDaniel L. Worthley
Daniel L. Worthley
MCMichael Churchill
Michael Churchill
JCJocelyn T. Compton
Jocelyn T. Compton
YTYagnesh Tailor
Yagnesh Tailor
MRMeenakshi Rao
Meenakshi Rao
TWTimothy Wang
Timothy Wang

1 February 2018 in Neuron
Verified
Journal Article
Closed access
JJJessica C. Jimenez
Jessica C. Jimenez
KSKaty Su
Katy Su
AGAlexander R. Goldberg
Alexander R. Goldberg
VLVictor M. Luna
Victor M. Luna
JBJeremy S. Biane
Jeremy S. Biane
MKMazen A. Kheirbek
Mazen A. Kheirbek

1 July 2014 in Neuron
Verified
Journal Article
Closed access
CDChristine A. Denny
Christine A. Denny
MKMazen A. Kheirbek
Mazen A. Kheirbek
EAEva L. Alba
Eva L. Alba
KTKenji F. Tanaka
Kenji F. Tanaka
RBRebecca A. Brachman
Rebecca A. Brachman
RHRené Hen
René Hen