Hierarchical Bayesian modeling of multi-region brain cell count data DOI Open Access
Sydney Dimmock,

Benjamin MS Exley,

Gerald Moore

et al.

Published: Nov. 25, 2024

We can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it multi-region measurement, but because the imaging done post-mortem, each only provides one set of counts. Experiments are expensive and cells counted by aligning large number brain sections, they time-intensive. The resulting datasets tend to be under-sampled with fewer animals than regions. As consequence, these challenge for traditional statistical approaches. demonstrate that hierarchical Bayesian methods well suited presenting ‘standard’ partially-pooled model applying two example datasets. For both outperformed standard parallel t-tests. Overall, approach’s ability capture nested its rigorous handling uncertainty in substantially improve inference data.

Language: Английский

Brain-wide immunolabeling and tissue clearing applications for engram research DOI
Alessandra Franceschini, Michelle Jin, Claire W. Chen

et al.

Neurobiology of Learning and Memory, Journal Year: 2025, Volume and Issue: unknown, P. 108032 - 108032

Published: Feb. 1, 2025

Language: Английский

Citations

1
The Theory of Constructed Emotion: More Than a Feeling DOI
Lisa Feldman Barrett, Shir Atzil, Eliza Bliss‐Moreau

et al.

Perspectives on Psychological Science, Journal Year: 2025, Volume and Issue: 20(3), P. 392 - 420

Published: May 1, 2025

A recently published article by van Heijst et al. attempted to reconcile two research approaches in the science of emotion—basic emotion theory and constructed emotion—by suggesting that former explains emotions as bioregulatory states body whereas latter feelings arise from those state changes. This bifurcation into objective physical subjective involves three misleading simplifications fundamentally misrepresent prevent progress emotion. In this we identify these resulting factual errors, empirical oversights, evolutionary oversimplifications. We then discuss why such errors will continue until scientists realize theories are intrinsically irreconcilable. They rest on incommensurate assumptions require different methods evaluation. Only directly considering differences silos finally dissolve, speeding accumulation trustworthy scientific knowledge about is usable real world.

Language: Английский

Citations

0
Co-allocation to overlapping dendritic branches in the retrosplenial cortex integrates memories across time DOI Creative Commons
Megha Sehgal, Daniel Almeida Filho, George Kastellakis

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2021, Volume and Issue: unknown

Published: Nov. 1, 2021

SUMMARY Events occurring close in time are often linked memory, providing an episodic timeline and a framework for those memories. Recent studies suggest that memories acquired encoded by overlapping neuronal ensembles, but the role of dendritic plasticity mechanisms linking is unknown. Using activity-dependent labeling manipulation approaches, longitudinal one- two-photon imaging somatic compartments, computational modeling, we show memory not only dependent on ensemble overlap retrosplenial cortex, also branch-specific allocation mechanisms. The same segments preferentially activated two memories, spine clusters added after each allocated to segments. Our results demonstrate causal mechanistic integration reveal novel set rules govern how independent compartments.

Language: Английский

Citations

15
Engrams: From Behavior to Brain-Wide Networks DOI
Kaitlyn E. Dorst, Steve Ramirez

Advances in neurobiology, Journal Year: 2024, Volume and Issue: unknown, P. 13 - 28

Published: Jan. 1, 2024

Language: Английский

Citations

1
Examining threat responses through a developmental lens DOI
B.J. Casey, Yen‐Chu Lin, Heidi C. Meyer

et al.

Cerebral Cortex, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Abstract Adolescence has been characterized by risk taking and fearlessness. Yet, the emergence of anxiety disorders that are associated with fear peaks during this developmental period. Moreover, adolescents show heightened sensitivity to stress relative children adults. To address inconsistencies between common characterization as fearless evidence time, we build upon foundational discoveries threat-related circuitry behavior in adult rodents Joseph LeDoux colleagues. Specifically, conservation across species provided opportunities for identifying mechanisms underlying threat responses have extended developing humans rodents. We elucidate situations which others where they appear link them changes discuss potential adaptiveness these survival individual but also risks stress. end offering new ways behavioral treatments youth stress-related may be optimized target vs developed brain.

Language: Английский

Citations

1
Engram cell connectivity as a mechanism for information encoding and memory function DOI Creative Commons
Clara Ortega‐de San Luis, Maurizio Pezzoli, Esteban Urrieta

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 22, 2023

Information derived from experiences is incorporated into the brain as changes to ensembles of cells, termed engram that allow memory storage and recall. The mechanism by which those hold specific information unclear. Here we test hypothesis synaptic wiring between cells substrate storage. First, monitor how learning modifies connectivity pattern at a monosynaptic connection involving hippocampal vCA1 region amygdala. Then, assess functional significance these artificially activating or inhibiting its presynaptic postsynaptic components respectively. Finally, identify plasticity mediated PSD-95, impacts among contributes long-term stability memory. These findings impact our theory helping us explain translation connections shape function.

Language: Английский

Citations

2
The selfish network: how the brain preserves behavioral function through shifts in neuronal network state DOI Creative Commons
Albrecht Stroh, Susann Schweiger, Jan‐Marino Ramirez

et al.

Trends in Neurosciences, Journal Year: 2024, Volume and Issue: 47(4), P. 246 - 258

Published: March 13, 2024

Neuronal networks possess the ability to regulate their activity states in response disruptions. How and when neuronal turn from physiological into pathological states, leading manifestation of neuropsychiatric disorders, remains largely unknown. Here, we propose that intrinsically maintain network stability even at cost loss. Despite new stable state being potentially maladaptive, neural may not reverse back associated with better long-term outcomes. These maladaptive are often hyperactive neurons, marking starting point for activity-dependent neurodegeneration. Transitions between occur rapidly, discrete steps rather than continuously, particularly neurodegenerative disorders. The self-stabilizing, metastable, noncontinuous characteristics these can be mathematically described as attractors. Maladaptive attractors represent a distinct pathophysiological entity could serve target therapies fostering resilience.

Language: Английский

Citations

0
Reactivating an Engram: Context Matters DOI
C. Doyle, C. Guillaume

Journal of Neuroscience, Journal Year: 2024, Volume and Issue: 44(29), P. e0650242024 - e0650242024

Published: July 17, 2024

Language: Английский

Citations

0
Hierarchical Bayesian modeling of multi-region brain cell count data DOI
Sydney Dimmock,

Benjamin MS Exley,

Gerald Moore

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 21, 2024

We can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it multi-region measurement, but because the imaging done post-mortem, each only provides one set of counts. Experiments are expensive and cells counted by aligning large number brain sections, they time-intensive. The resulting datasets tend to be under-sampled with fewer animals than regions. As consequence, these challenge for traditional statistical approaches. demonstrate that hierarchical Bayesian methods well suited presenting ‘standard’ partially-pooled model applying two example datasets. For both outperformed standard parallel t-tests. Overall, approach’s ability capture nested its rigorous handling uncertainty in substantially improve inference data. Significance Statement Cell-count important studying activation expression relating complex processes brain. However, difficulty expense collection means such often have small sample sizes. Many routine analyses not well-suited, especially if there high variability among surprising outliers Here we describe multilevel, mixed effects show improves inferences compared usual different characteristics.

Language: Английский

Citations

0
Hierarchical Bayesian modeling of multi-region brain cell count data DOI Open Access
Sydney Dimmock,

Benjamin MS Exley,

Gerald Moore

et al.

Published: Nov. 25, 2024

We can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it multi-region measurement, but because the imaging done post-mortem, each only provides one set of counts. Experiments are expensive and cells counted by aligning large number brain sections, they time-intensive. The resulting datasets tend to be under-sampled with fewer animals than regions. As consequence, these challenge for traditional statistical approaches. demonstrate that hierarchical Bayesian methods well suited presenting ‘standard’ partially-pooled model applying two example datasets. For both outperformed standard parallel t-tests. Overall, approach’s ability capture nested its rigorous handling uncertainty in substantially improve inference data.

Language: Английский

Citations

0