A Thalamic Orphan Receptor Drives Variability in Short-Term Memory

Hsiao, Kuangfu; Noble, Chelsea; Pitman, Wendy A.; Yadav, Nakul; Kumar, Suraj; Keele, Gregory R.; Terceros, Andrea; Kanke, Matt; Conniff, Tara; Cheleuitte-Nieves, Christopher; Tolwani, Ravi; Sethupathy, Praveen; Rajasethupathy, Priyamvada

doi:10.1016/j.cell.2020.09.011

Cited by 33 publications

(35 citation statements)

References 77 publications

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“…The increased connectivity between right mediodorsal thalamus and the anterior DMN network found in our study could indicate that training enhances thalamic engagement in the recall process. In animal models, the mediodorsal thalamus has been identified as an important component of memory systems (Hsiao et al, 2020), and its main role could be to amplify and sustain representations in prefrontal structures (Schmitt et al, 2017;Parnaudeau et al, 2018). It is also possible that the increased connectivity that we detect after training reflects a stronger filtering input form prefrontal structures onto the thalamus (Nakajima et al, 2019), a process that would limit the interference of external sensory stimuli on the autobiographic recall.…”

Section: Discussionmentioning

confidence: 99%

Neural networks implicated in autobiographical memory training

Cȋrneci

Onu²,

Papasteri³

et al. 2021

Preprint

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Training of autobiographical memory has been proposed as intervention to improve cognitive functions. The neural substrates for such improvements are poorly understood. Several brain networks have been previously linked to autobiographical recollections, including the default mode network (DMN) and the sensorimotor network. Here we tested the hypothesis that different neural networks support distinct aspects of memory improvement in response to training on a group of 59 subjects. We found that memory training increases DMN connectivity, and this associates with improved recollection of cue-specific memories. On the contrary, training decreased connectivity in the sensorimotor network, a decrease that correlated with improved ability for voluntary recall. Moreover, only decreased sensorimotor connectivity associated with training-induced decrease in the TNFalpha; immunological factor, which has been previously linked to improved cognitive performance. We identified functional and biochemical factors that associate with distinct memory processes improved by autobiographical training. Pathways which connect autobiographical memory to both high level cognition and somatic physiology are discussed.

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Section: Discussionmentioning

confidence: 99%

Neural networks implicated in autobiographical memory training

Cȋrneci

Onu²,

Papasteri³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The increased connectivity between right mediodorsal thalamus and the anterior DMN found in our study could indicate that training enhances thalamic engagement in the recall process. In animal models, the mediodorsal thalamus has been identi ed as an important component of memory systems (Hsiao et al, 2020), and its main role could be to amplify and sustain representations in prefrontal structures (Schmitt et al, 2017;Parnaudeau et al, 2018). It is also possible that the increased connectivity that we detect after training re ects a stronger ltering input form prefrontal structures onto the thalamus (Nakajima et al, 2019), a process that would limit the interference of external sensory stimuli on the autobiographic recall.…”

Section: Discussionmentioning

confidence: 99%

Neural Networks Implicated in Autobiographical Memory Training

Cȋrneci

Onu²,

Papasteri

et al. 2021

Preprint

View full text Add to dashboard Cite

Training of autobiographical memory has been proposed as intervention to improve cognitive functions. The neural substrates for such improvements are poorly understood. Several brain networks have been previously linked to autobiographical recollections, including the default mode network (DMN) and the sensorimotor network. Here we tested the hypothesis that different neural networks support distinct aspects of memory improvement in response to training on a group of 59 subjects. We found that memory training using olfactory cues increases resting-state intra-network DMN connectivity, and this associates with improved recollection of cue-specific memories. On the contrary, training decreased resting-state connectivity within the sensorimotor network, a decrease that correlated with improved ability for voluntary recall. Moreover, only the decrease in sensorimotor connectivity associated with the training-induced decrease in the TNFα factor, an immune modulation previously linked to improved cognitive performance. We identified functional and biochemical factors that associate with distinct memory processes improved by autobiographical training. Pathways which connect autobiographical memory to both high level cognition and somatic physiology are discussed.

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“…Multiparental populations (MPPs; de Koning and McIntyre 2017 ) improve upon traditional experimental crosses by interbreeding more than 2 isogenic strains capturing greater genetic diversity. The Collaborative Cross (CC) and Diversity Outbred (DO) mouse populations are related MPPs that have been used to genetically dissect complex traits, including obesity ( Svenson et al 2012 ), bone strength ( Al-Barghouthi et al 2021 ), short-term memory ( Hsiao et al 2020 ), and benzene response ( French et al 2015 ). As recombinant populations, the CC and DO are well-suited for mapping quantitative trait loci (QTLs), which can be powerful in studies of -omic traits, including gene expression, protein abundance, and chromatin accessibility ( Aylor et al 2011 ; Chick et al 2016 ; Abu Toamih Atamni et al 2018 ; Keller et al 2018 ; Keele et al 2020 , 2021 ; Takemon et al 2021 ; Gerdes Gyuricza et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

QTLViewer: an interactive webtool for genetic analysis in the Collaborative Cross and Diversity Outbred mouse populations

Vincent

Gyuricza

Keele

et al. 2022

G3 Genes|Genomes|Genetics

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The Collaborative Cross (CC) and the Diversity Outbred (DO) mouse populations are related multiparental populations (MPPs), derived from the same eight isogenic founder strains. They carry >50M known genetic variants, which makes them ideal tools for mapping genetic loci that regulate phenotypes, including physiological and molecular traits. Mapping quantitative trait loci (QTLs) requires statistical and computational training, which can present a barrier to access for some researchers. The QTLViewer software allows users to graphically explore CC and DO QTL mapping and related analyses performed through the R/qtl2 package. Additionally, the QTLViewer website serves as a repository for published CC and DO studies, increasing the accessibility of these genetic resources to the broader scientific community.

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A Thalamic Orphan Receptor Drives Variability in Short-Term Memory

Cited by 33 publications

References 77 publications

Neural networks implicated in autobiographical memory training

Neural networks implicated in autobiographical memory training

Neural Networks Implicated in Autobiographical Memory Training

QTLViewer: an interactive webtool for genetic analysis in the Collaborative Cross and Diversity Outbred mouse populations

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