scholarly journals Increased oscillatory power in a computational model of the olfactory bulb due to synaptic degeneration

2021 ◽  
Vol 104 (2) ◽  
Author(s):  
J. Kendall Berry ◽  
Daniel Cox
2020 ◽  
Author(s):  
J. Kendall Berry ◽  
Daniel L. Cox

AbstractThe olfactory bulb (OB) is one of the first regions of the brain affected by Parkinson’s disease (PD) as measured by both dysfunction and presence of α-synuclein aggregation. Better understanding of how PD affects OB function could lead to earlier diagnosis and potential treatment. By simulating damage to the OB in a computational model, it may be possible to identify regions of interest or markers of early disease. We modified a simple rate-based computational model of the olfactory bulb and simulated damage to various components of the network. This was done for several configurations of the network, at different sizes and with 1D and 2D connectivity structures. We found that, in almost every case, activity of 2D networks were more robust to damage than 1D networks, leading us to conclude that a connection scheme of at least 2D is vital to computational modeling of the OB. We also found that certain types of damage (namely, seeded damage to the granule cell layer and to the synapses between mitral and granule cells) resulted in a peak of the oscillatory power of the network as a function of damage. This result is testable experimentally and bears further investigation utilizing more sophisticated computational models. If proven accurate, this rise in oscillatory power in the OB has the potential to be an early marker of PD.Author summaryOne of the first symptoms of Parkinson’s disease is the degradation of the sense of smell. The olfactory bulb is the first region of the brain to process odor information and is affected by Parkinson’s disease at early stages. We simulated neural activity in a computational model of the olfactory bulb in the presence of damage and compared it to simulations of undamaged activity. We found that 2D model networks were more robust to damage than their 1D counterparts. We also found that 2D networks displayed increased oscillatory activity when damage was applied to certain parts of the network. This last result, if proven correct, would potentially be a marker of early-stage Parkinson’s disease, and if so, could aid in early diagnosis and treatment of the disease.


2020 ◽  
Author(s):  
Daniel Zavitz ◽  
Isaac A. Youngstrom ◽  
Alla Borisyuk ◽  
Matt Wachowiak

AbstractLateral inhibition is a fundamental feature of circuits that process sensory information. In the mammalian olfactory system, inhibitory interneurons called short axon cells comprise the first network mediating lateral inhibition between glomeruli, the functional units of early olfactory coding and processing. The connectivity of this network and its impact on odor representations is not well understood. To explore this question, we constructed a computational model of the interglomerular inhibitory network using detailed characterizations of short axon cell morphologies taken from mouse olfactory bulb. We then examined how this network transformed glomerular patterns of odorant-evoked sensory input (taken from previously-published datasets) as a function of the selectivity of interglomerular inhibition. We examined three connectivity schemes: selective (each glomerulus connects to few others with heterogeneous strength), nonselective (glomeruli connect to most others with heterogenous strength) or global (glomeruli connect to all others with equal strength). We found that both selective and nonselective interglomerular networks could mediate heterogeneous patterns of inhibition across glomeruli when driven by realistic sensory input patterns, but that global inhibitory networks were unable to produce input-output transformations that matched experimental data and were poor mediators of intensity-dependent gain control. We further found that networks whose interglomerular connectivity was tuned by sensory input profile decorrelated odor representations more effectively. These results suggest that, despite their multiglomerular innervation patterns, short axon cells are capable of mediating odorant-specific patterns of inhibition between glomeruli that could, theoretically, be tuned by experience or evolution to optimize discrimination of particular odorants.Significance StatementLateral inhibition is a key feature of circuitry in many sensory systems including vision, audition, and olfaction. We investigate how lateral inhibitory networks mediated by short axon cells in the mouse olfactory bulb might shape odor representations as a function of their interglomerular connectivity. Using a computational model of interglomerular connectivity derived from experimental data, we find that short axon cell networks, despite their broad innervation patterns, can mediate heterogeneous patterns of inhibition across glomeruli, and that the canonical model of global inhibition does not generate experimentally observed responses to stimuli. In addition, inhibitory connections tuned by input statistics yield enhanced decorrelation of similar input patterns. These results elucidate how the organization of inhibition between neural elements may affect computations.


1996 ◽  
Vol 21 (5) ◽  
pp. 585-593 ◽  
Author(s):  
David P. D. Woldbye ◽  
Tom G. Bolwig ◽  
Jørn Kragh ◽  
Ole Steen Jørgensen

2015 ◽  
Vol 114 (3) ◽  
pp. 2033-2042 ◽  
Author(s):  
Fernando Pérez de los Cobos Pallarés ◽  
Davor Stanić ◽  
David Farmer ◽  
Mathias Dutschmann ◽  
Veronica Egger

A main feature of the mammalian olfactory bulb network is the presence of various rhythmic activities, in particular, gamma, beta, and theta oscillations, with the latter coupled to the respiratory rhythm. Interactions between those oscillations as well as the spatial distribution of network activation are likely to determine olfactory coding. Here, we describe a novel semi-intact perfused nose-olfactory bulb-brain stem preparation in rats with both a preserved olfactory epithelium and brain stem, which could be particularly suitable for the study of oscillatory activity and spatial odor mapping within the olfactory bulb, in particular, in hitherto inaccessible locations. In the perfused olfactory bulb, we observed robust spontaneous oscillations, mostly in the theta range. Odor application resulted in an increase in oscillatory power in higher frequency ranges, stimulus-locked local field potentials, and excitation or inhibition of individual bulbar neurons, similar to odor responses reported from in vivo recordings. Thus our method constitutes the first viable in situ preparation of a mammalian system that uses airborne odor stimuli and preserves these characteristic features of odor processing. This preparation will allow the use of highly invasive experimental procedures and the application of techniques such as patch-clamp recording, high-resolution imaging, and optogenetics within the entire olfactory bulb.


2013 ◽  
Vol 109 (5) ◽  
pp. 1360-1377 ◽  
Author(s):  
Licurgo de Almeida ◽  
Marco Idiart ◽  
Christiane Linster

In this work we investigate in a computational model how cholinergic inputs to the olfactory bulb (OB) and piriform cortex (PC) modulate odor representations. We use experimental data derived from different physiological studies of ACh modulation of the bulbar and cortical circuitry and the interaction between these two areas. The results presented here indicate that cholinergic modulation in the OB significantly increases contrast and synchronization in mitral cell output. Each of these effects is derived from distinct neuronal interactions, with different groups of interneurons playing different roles. Both bulbar modulation effects contribute to more stable learned representations in PC, with pyramidal networks trained with cholinergic-modulated inputs from the bulb exhibiting more robust learning than those trained with unmodulated bulbar inputs. This increased robustness is evidenced as better recovery of memories from corrupted patterns and lower-concentration inputs as well as increased memory capacity.


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