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Jariwala, M.

Publications and source records attributed to Jariwala, M..

3 recordsLinked to original sources

Circuits activated by psychiatric-associated behavior: from brain-wide labeling to regional assessment using Psych-TRAP.

Genetic risk factors are major contributors to psychiatric disorders, yet limited knowledge exists about how these risk factors impair brain circuits to produce disease phenotypes. Better understanding of this process will help us identify potential drug targets acting directly on the vulnerable cell types and circuits. To elucidate how risk factors impact brain circuitry in relation to psychiatric phenotypes, we employed a clinically relevant mouse model of a severe psychiatric genetic risk factors - the 15q13.3 microdeletion. We developed a novel technique, Psych-TRAP, to label psychiatric behaviour-associated circuits at whole brain level and with cellular resolution. Using Psych-TRAP, we permanently labelled transiently active cells responding to a psychiatric-relevant behavior (social interaction) and quantified their densities across the whole brain. We validated Psych-TRAP by confirming activation in previously known brain areas involved in social interaction. Furthermore, we discovered that impaired social interaction behavior in 15q13.3 microdeletion mice was associated with alterations in the GABAergic component in the activated circuit, mainly mediated by reelin-positive neurons in the prefrontal cortex and by somatostatin-positive neurons in the somatosensory cortex. Thus, Psych-TRAP represents a robust technique to permanently label transiently active cells during behavior in psychiatric risk factor models for future circuit manipulations in an unbiased manner that will help to reveal the underlying molecular markers mediating psychiatric behaviours.

neuroscience↗

Inhibitory fear memory engram in the mouse central lateral amygdala

Engrams are cellular substrates of memory traces that have been identified in various brain areas, including the amygdala. Most engrams identified so far are formed by excitatory, glutamatergic neurons. However, little attention has been paid to defining GABAergic inhibitory engrams. Here, we report an inhibitory engram in the central lateral amygdala (CeL), a crucial area for Pavlovian fear conditioning. This engram is primarily composed of GABAergic somatostatin-expressing (SST+) and to a lesser extent of protein kinase C-{delta}-expressing [PKC-{delta}(+)] neurons. Fear memory is accompanied by a preferential enhancement of mIPSC frequency onto PKC-{delta}(+) neurons as well as a general increment of amplitude. Moreover, non-engram cells exhibit higher mIPSC frequency than engram cells. The inhibition of the CeL GABAergic engram disinhibits the activity of engram-targeted areas and increases selectively the encoded fear expression. Our data defines the behavioral function of an engram formed exclusively by GABAergic inhibitory neurons in the mammalian CNS.

neuroscience↗

TRACE: An unbiased method to permanently tag transiently activated inputs

A fundamental interest in circuit analysis is to parse out the synaptic inputs underlying a behavioral experience. Toward this aim, we have devised an unbiased strategy that specifically labels the afferent inputs that are activated by a defined stimulus in an activity-dependent manner. We validated this strategy in four brain areas receiving known sensory inputs. This strategy, as demonstrated here, accurately identifies these inputs.

neuroscience↗