Canada

Evidence indicates that neurodegeneration (NDG) is a prominent feature and the primary cause of disability in multiple sclerosis (MS). Yet, knowledge of the molecular mechanisms of NDG in MS, as well as treatment options for NDG are lacking. Published data from our lab indicates that dysfunction of the RNA binding protein heterogeneous ribonucleoprotein A1 (A1) may contribute to MS pathogenesis. Therefore, to examine A1 dysfunction, we utilized an in vitro, blue light (BL) induced, optogenetic protein self-association expression system containing the optogene Cryptochrome 2 and a fluorescent mCherry reporter, to examine the effects of MS-associated somatic A1 mutations (P275S and F281L) on A1 localization, cluster kinetics and stress granule (SG) formation in real-time. Using BL stimulation followed by a period of recovery, which promotes protein self-association and dissociation dynamics (imitating a cell stress event that occurs during MS relapse), revealed that A1 mutations caused cytoplasmic mislocalization, and significantly altered the kinetics of A1 cluster formation/dissociation, and the quantity and size of clusters. Additionally, mutant A1 protein clustering also caused SG formation to occur more quickly and frequently in response to BL stimulation. Overall, this study establishes a live cell optogenetic imaging system to probe localization and association dynamics of A1. It also demonstrates that somatic mutations in A1 alter its function and promote SG formation, which supports the hypothesis that A1 dysfunction may exacerbate NDG in MS.

CAN-ACN 2021

Optogenetics defines the effects of multiple sclerosis-associated hnRNPA1 mutations on hnRNPA1 dynamics and stress granule formation

hnrnpa1

optogenetics

multiple sclerosis

Colleagues and Friends:

I am very happy to welcome you to the 14th annual Canadian Neuroscience Meeting, and to the first virtual edition of our meeting. I want to highlight the important work the CAN meeting chair, **Roger Thompson** and co-chair, **Alyson Fournier**, did to put together the great program we are offering this year. Moving to a virtual format required a complete re-design of the program, and both Roger and Alyson did a splendid job in providing us with an appealing and well adapted program for our first virtual event. I wish to thank them for this very important effort.

Highlights of this year’s scientific meeting include invited speakers **Michael Hausser, Franck Polleux, Gwyneth Card, Magdalena Götz**and Brain Prize winner **Huda Zoghbi**. Plenary and parallel symposia, proposed by our members complete our diverse [scientific program.](https://can-acn.org/meeting-2021/program-2021/)

The 2021 Advocacy session, chaired and organized by CAN advocacy committee chair **Karun Singh**, will feature a special lecture and question period with Member of Parliament and past Science Minister **Kirsty Duncan**. This will be followed by a short overview of CAN’s advocacy activities over the last year. We invite you to participate in this session for insight from Dr. Duncan on the workings of Parliament Hill, and to learn more about what CAN has been doing to promote neuroscience research in Canada.

We are also excited to host **Lisa Willis** in the Equity Diversity and Inclusion session, organized by EDI committee chair **Jibran Khokhar**.

A special highlight of our meeting will be the lectures by award-winning young neuroscientists. We are please to host the CAN 2020 Young Investigator Award winner **Mihaela Iordanova**, and CAN 2021 Young Investigator Award winners **Aaron Phillips** and **Tabrez Siddiqui**. Highlights will also include presentation by the top three winners of the CAN-CIHR-INMHA Brain Star Award winners, **Claire Gizowski, Nuria Daviu Abant** and **Lukas Tamayo-Orrego**.

Independently organized satellite symposia complement and complete this exciting program, check them out here: https://can-acn.org/meeting-2021/2021-satellite-symposia/

Some of the most engaging sessions are always the poster sessions featuring the work of our trainees, so make sure to log in to Gather Town during the poster sessions to chat with the presenters.
We hope you enjoy this program, and look forward to welcoming you, virtually.

Shernaz Bamji

President of the Canadian Association for Neuroscience

![](https://assets.underline.io/uploads/markdown_image/1/image/b9aea25343a87d5aac3b9367dc780974.jpg)



Please head to https://can-acn.org/meeting-2021/registration-2021/ to register. 

14th Canadian Neuroscience Meeting from August 23rd-25th

poster

The cortical mechanisms for presaccadic signal processing remain poorly understood at the network level, in particular how they interact with simultaneously presented visual stimuli. Here, we used graph theory analysis (GTA) to construct and evaluate functional brain networks based on EEG data collected in the perisaccadic interval. EEG was recorded via 64 channels in two behavioral conditions (fixation or saccade). Participants (N=21) were pre-cued with a series 1-3 grids (three horizontal lines, 10° by 10°) located 5° below the central fixation-point. 100ms later, a stimulus (three vertical lines; same size/location) was briefly presented (for 70ms). In the saccade condition, a left/right shift of the fixation-point during the interstimulus interval triggered a saccade after the second stimulus. Source localization (SL) was performed on the 200ms period following the saccade cue, or the equivalent time during fixation trials. Lagged coherences were calculated between all pairs of 84 Brodmann areas. SL/GTA identified major network hubs near the frontal and parietal eye fields, with widespread cortical connectivity. Other GTA measures (clustering coefficient, global efficiency, energy, entropy) showed that network segregation, integration, synchronizability, and complexity were enhanced during the perisaccadic interval. Further, these network properties significantly interacted with stimulus repetition, altering both hubs and network topography. These data suggest a network mechanism for enhanced visual information processing and propagation in the presaccadic interval. Acknowledgements: Grant Support: an NSERC Discovery Grant and VISTA Fellowship, funded by CFREF.

Functional brain network for presaccadic visual processing: evidence from high resolution EEG and graph theory analysis

The diagnosis of concussion remains challenging, particularly in cases where several months have passed between a head injury and clinical assessment. Tracking multiple moving objects in three-dimensional (3D) space engages many of the same cognitive processes that are affected by concussion, a form of mild traumatic brain injury (mTBI), suggesting that tests of 3D multiple object tracking (3D-MOT) may be sensitive to post-concussion syndrome after a brain injury has occurred. To test this, we evaluated 3D-MOT performance (using NeuroTrackerTM) against Sports Concussion Assessment Tool results for cognition, balance, and symptom severity in a large sample (N = 457) of male and female participants between the ages of 6 to 73. 3D-MOT performance in subjects under age 13 was not impaired by a history of concussion, but was positively associated with cognition and balance. 3D-MOT performance in those 13 and older was negatively associated with concussion symptom severity, and positively associated with cognition and balance. 3D-MOT was selectively impaired in subjects with probable post-concussion syndrome (pPCS), defined using the 95th percentile of symptom severity for subjects with no history of concussion. A decision tree predicted concussion status with 95.2% overall test accuracy (91.1% sensitivity, 97.8% specificity) using concussion history, age, and 3D-MOT score. Individuals with a history of concussion in the past 37 days were predicted to have pPCS if they were age 35 or older, or if they were under age 35 but achieved scores below 1.2 on the 3D-MOT. These results demonstrate the potential of 3D-MOT for pPCS diagnosis, and highlight the increased vulnerability to concussion symptoms that comes with age.

Multiple object tracking scores predict post-concussion status years after mild traumatic brain injury

Parvalbumin (PV) expressing neurons are a subclass of inhibitory cells that strongly regulate the activity of local excitatory neurons. PV neurons are important for maintaining excitation balance in the cortex and are involved in generating synchronous high frequency neuron firing. In the prefrontal cortex (PFC), disrupting the activity of PV neurons is associated with various cognitive impairments. The goal of this study was to assess the role of prefrontal PV neurons during focused visual attention in mice. We used the touchscreen rodent continuous performance task, which allows us to study various aspects of attention, including sustained attention, impulsivity, and visual discrimination. In vivo calcium imaging revealed that PFC PV neurons display increased activity prior to responding to the correct stimulus that increases through training. In vivo optogenetics was used to inactivate PFC PV neurons, or stimulate these neurons at a high (30hz) or low (5hz) frequency during the response phase of the task. When PV neurons were either inactivated or stimulated at 5hz, the animals' ability to attend to a target image was significantly reduced. Alternatively, stimulating PV neurons at 30hz significantly improved the animal's ability to attend to and discriminate the correct image, demonstrating a frequency specific bi-directional effect of PV stimulation. We also observe that an animal's baseline performance (high or low) is predictive of whether optogenetic manipulation can impair or enhance task performance, respectively. This implies that the effectiveness of optogenetic stimulation on altering attention may depend on the baseline organization of PFC activity, and that animals with unoptimized PFC function can be improved by high frequency stimulation of PV neurons.

Prefrontal parvalbumin neurons facilitate the acquisition and performance of attention in mice

The presence of an allocentric landmark can have both explicit (instruction-dependent) and implicit influences on reaching performance (Byrne and Crawford 2010; Chen et al., 2011; Klinghammer et al. 2015, 2017). However, it is not known how the instruction itself (to rely either on egocentric versus allocentric cues) influences memory-guided reaching. Here, 13 participants performed a task with two instruction conditions (egocentric vs. allocentric), but with similar sensory and motor conditions. In both conditions, participants maintained fixation while a LED target briefly appeared (alongside a visual landmark) in one visual field. After a mask/memory delay period, the landmark re-appeared in the same or opposite visual field. In the allocentric condition, participants were instructed remember the initial location of the target relative to the landmark, and to reach relative to the shifted landmark. In the egocentric condition, subjects were instructed to ignore the landmark and point toward the remembered location of the target (50% of trials were motor-matched anti-reaches). The allocentric instruction yielded significantly more accurate pointing than the egocentric instruction, despite identical visual and motor conditions and regardless of the final pointing side. These results show that memory-guided pointing improves when participants are explicitly instructed to point relative to the landmark. This suggests that explicit attention to a visual landmark recruits allocentric coding mechanisms that are more resistant to memory decay than egocentric mechanisms.

Explicit attention to allocentric visual landmarks improves memory-guided reaching

As we read, communication across brain networks allows us to integrate the way words look, sound, and mean. Phonological (sounds) and semantic (meaning) processing are key components of skilled reading. Understanding their underlying neural systems in adults sets a foundation to explore their development in children. In this pilot study, 64-channel EEG was recorded while adults (n=14; ages=23-36; 8 male) read word pairs that were rhyming or nonrhyming (goose-juice vs. small-juice) and semantically related or unrelated (open-close vs. nest-close). The goal was to explore both the event related potentials (ERPs) associated with lexical access (the N400) and oscillatory power effects associated with brain network integration during both types of priming. While similar N400 effects were seen for both phonological and semantic priming (larger N400 for unrelated vs. related words at central/mid-line electrodes 300-550ms; ps<.001), the frequency and duration of oscillatory power effects differed. Phonologically unrelated vs. related words showed greater power in beta (13-30 Hz, 334-820ms, p<.05), and gamma (31-80Hz, 292-456ms, p<.001), while semantically unrelated vs. related words showed greater long-lasting power in theta (4-7 Hz, 42-2400ms, p<.05), alpha (8-12 Hz, 122-1040ms, p<.05) and beta (13-30 Hz, 878-1544ms and 1944-2500ms, ps<.05). In line with speech processing models, higher frequency oscillations may be associated with sound as compared to meaning processing. Oscillatory power may reveal additional insights into the brain networks important for reading than ERPs alone.

Neurocognitive processes used in phonological and semantic priming: An ERP and oscillatory power study

Major depressive disorder (MDD) will affect 20% of individuals and is now considered the leading cause of disabilities worldwide. However, most studies still investigate MDD exclusively in males. We reported that chronic social stress induces blood-brain barrier (BBB) leakiness through loss of tight junction protein claudin-5 (cldn5) in the nucleus accumbens (NAc), a mood regulation center, of male mice allowing the passage of circulating inflammatory mediators into the brain and establishment of depression-like behaviors. In rodents, exposure to chronic social defeat stress (CSDS) through physical encounter with a larger aggressive mouse induces a depression-like phenotype. A subpopulation of mice does not develop depressive behaviors and is considered resilient, allowing us to also study biological adaptations promoting stress resilience. After CSDS, cldn5 gene expression is unchanged in the NAc of stress-susceptible females but decreased in the prefrontal cortex (PFC), a brain region regulating decision making and social behaviors, when compared to controls and resilient mice. This sexual dimorphism of stress-induced neurovascular adaptations was confirmed in post-mortem human brain samples from depressed individuals, adding translational value to our findings. Viral-mediated functional manipulation confirmed the causality of cldn5 loss in the female PFC in the establishment of depressive behaviors and possibly sex-specific MDD symptomatology. This data suggests that stress-induced neurovascular changes do not occur in the same brain regions in stressed females vs males.

Sex-specific blood-brain barrier alterations and vascular biomarkers underlie chronic stress responses in mice and human depression

Hearing loss is a chronic health condition affecting ~466 million people worldwide, with excessive exposure to loud noise as a leading cause. Epidemiological studies have identified hearing loss as a major risk factor for age-related cognitive decline; however, the brain regions mediating the link between the two remain elusive. Although previous studies have reported molecular changes in the hippocampus and striatum following noise exposure, it is unknown whether such changes contribute to cognitive decline associated with noise-induced hearing loss. To that end, we noise-exposed 6-month old rats, and then assessed their hearing and cognitive function at 7, 10 and 13 months of age. Rats underwent cognitive testing on the Morris water maze to assess hippocampal-dependent learning and memory, and on a striatal-dependent visuomotor associative learning task. Consistent with human studies, noise exposure resulted in mild, high-frequency hearing loss. The noise-exposed rats did not exhibit significant deficits in striatal-dependent visuomotor associative learning, yet they had a faster reaction time compared to the sham-exposed rats. Moreover, a subset of noise-exposed older rats demonstrated hippocampal-dependent spatial learning deficits, suggesting that some animals are more vulnerable to the effects of noise exposure with age. Ultimately, these novel findings expand our understanding of how brain regions outside of the auditory pathway are affected by noise exposure; findings that should be considered when investigating the link between hearing loss and cognitive decline.

Investigating the link between hearing loss and age-related cognitive decline in a rodent model

The ability to alter previously established behaviours is key for survival. Two ways in which reductions in conditioned behaviours can be achieved is through overexpectation and extinction. In both cases the expected outcome, be it aversive or appetitive, is greater than that delivered, thus generating a negative prediction error and downregulating established expectations. In overexpectation, the expectation of the outcome is manipulated by inflating it through summation, whereas in extinction it is outcome delivery that is manipulated by omitting it altogether. Our previous work showed that the lateral orbitofrontal cortex (lOFC) is critical for learning from overexpectation but less so in learning from extinction. When studying the effects of lOFC function on extinction, we found a mild effect of lOFC inactivation only in initial but not subsequent extinction learning. This albeit mild effect led us to assess the generality of the role of the lOFC in overexpectation by studying the order of learning episodes. Specifically, we examined the effect of lOFC inactivation on learning from overexpectation in animals that have undergone either initial extinction or overexpectation training with a different cue. Our findings confirm that inactivation of the lOFC prior to compound training in overexpectation disrupted the reduction in responding seen on test, regardless of the order of learning and prior experience. Additionally, silencing the lOFC only resulted in a mild impairment in initial extinction. Together, these results extend and replicate our prior work to provide additional evidence that the lOFC consistently regulates the reduction of learned fear responses driven by overexpectation.

The lateral orbitofrontal cortex consistently regulates learning from overexpectation of fear

Chronic stress, the main environmental risk factor for major depressive disorder (MDD) is linked to intestinal barrier deterioration via gut-brain signaling in gastrointestinal disorders. MDD shows high comorbidity with gastrointestinal disorders including patterns of microbiome dysbiosis and inflammatory peripheral markers, suggesting increased intestinal permeability in these patients. We investigate how the effects of chronic stress can influence manifestations of intestinal permeability in both male and female mouse models of depression. The prevalence of MDD is two-fold higher in women, however, chronic social defeat stress (CSDS) experiments have been conducted exclusively in male mice. We hypothesize that stress induces changes to gut barrier integrity in a sex-specific manner, playing a role in vulnerability or resilience. Accordingly, mice were subjected to various stress paradigms: 6-day or 28-day chronic variable stress, or 10-day CSDS. 16S rRNA sequencing assessed microbial populations pre- and post-stress. Gene and protein expression analysis of tight junctions from intestinal tissues shows alterations related to the type and duration of stress with sex-specific effects. Furthermore, CSDS induces changes in tight junction expression associated with resilience or susceptibility to chronic social stress, corresponding to phenotype severity. Our results provide evidence for the effects of chronic stress in disrupting intestinal barrier homeostasis in conjunction with the manifestation of depression-like behaviours.

Sex-specific effects of chronic stress on intestinal permeability and depression-like behaviors

We present the Py-based SYstem for Chronic monitoring of rOdent SpeciesPy-(PSYCO) Mouse Tracker (PNMT): an affordable, open-sourced, and customizable/scalable behavior recording software for small foot-print Raspberry Pi-based acquisition computers and subsequent offline analysis tools capable of recording and tracking multiple mice for extended periods of time, respectively. Video tracking coupled with radio frequency identification (RFID) was employed to track multiple mice in a modified home-cage setting for up to four days. Video and RFID recordings were completed utilizing a Raspberry Pi 3B+ or Pi4 micro-computer. During offline analysis performed on a PCdesktop computers, mice were tracked using You Only Look Once version 4 (Yolov4) algorithm coupled with the Simple Online and Realtime Tracking (SORT) for mice tracking, respectively. RFID readings recorded in the system were then associated with the best-matched mouse that was tracked. For evaluation, PMTNMT performance was compared to a human manual validation of video recordings containing one to four mice. PMTNMT maintained a minimum of 70% identities tracked among mice detected with an overall accuracy >above 90 %. Moreover, we also showed that PMTNMT can be adapted to other behavior apparatus such as an open field like arena or sociability chamber to track mice. Furthermore, the PSYCO tracker can incorporate inputs from popular open-sourced packages such as Deeplabcut and Traja for postures estimation and travel trajectory analysis, respectively. Overall, our group demonstrated the performance of a newly developed multiple animal tracking system capable of tracking mice for extended periods of time and adaptable to the use case of individual investigators.

Optogenetics defines the effects of multiple sclerosis-associated hnRNPA1 mutations on hnRNPA1 dynamics and stress granule formation

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Functional brain network for presaccadic visual processing: evidence from high resolution EEG and graph theory analysis

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