Neural Networks Implicated in Autobiographical Memory Training

Dragoş Cȋrneci; Mihaela Onu; Claudiu C. Papasteri; Dana Georgescu; Cătălina Poalelungi; Alexandra Sofonea; Nicoleta Puşcaşu; Dumitru Tanase; Teofila Rădeanu; Maria Yaelle Toader; Andreea L. Dogaru; Ioana R. Podină; Alexandru I. Berceanu; Ioana Carcea

doi:10.1523/ENEURO.0137-22.2022

Neural Networks Implicated in Autobiographical Memory Training

Dragoş Cȋrneci, Mihaela Onu, Claudiu C. Papasteri, Dana Georgescu, Cătălina Poalelungi, Alexandra Sofonea, Nicoleta Puşcaşu, Dumitru Tanase, Teofila Rădeanu, Maria Yaelle Toader, Andreea L. Dogaru, Ioana R. Podină, Alexandru I. Berceanu, Ioana Carcea

Research output: Contribution to journal › Article › peer-review

Abstract

Training of autobiographical memory has been proposed as an intervention to improve cognitive function. The neural substrates for such improvements are poorly understood. Several brain areas have been previously linked to autobiographical recollection, including structures in the default mode network (DMN) and the senso-rimotor network. Here, we tested the hypothesis that changes in connectivity within different neural networks support distinct aspects of memory improvement in response to training on a group of 59 human subjects. We found that memory training using olfactory cues increases resting-state intranetwork 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, preliminary data indicate that only the decrease in sensorimotor connectivity associated with the training-induced decrease in the tumor necrosis factor α (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 with both high-level cognition and somatic physiology are discussed.

Original language	American English
Article number	ENEURO.0137-22.2022
Journal	eNeuro
Volume	9
Issue number	6
DOIs	https://doi.org/10.1523/ENEURO.0137-22.2022
State	Published - Nov 1 2022
Externally published	Yes

ASJC Scopus subject areas

General Neuroscience

Keywords

autobiographical memory
memory training
neural networks

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10.1523/ENEURO.0137-22.2022

Cite this

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title = "Neural Networks Implicated in Autobiographical Memory Training",

abstract = "Training of autobiographical memory has been proposed as an intervention to improve cognitive function. The neural substrates for such improvements are poorly understood. Several brain areas have been previously linked to autobiographical recollection, including structures in the default mode network (DMN) and the senso-rimotor network. Here, we tested the hypothesis that changes in connectivity within different neural networks support distinct aspects of memory improvement in response to training on a group of 59 human subjects. We found that memory training using olfactory cues increases resting-state intranetwork 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, preliminary data indicate that only the decrease in sensorimotor connectivity associated with the training-induced decrease in the tumor necrosis factor α (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 with both high-level cognition and somatic physiology are discussed.",

keywords = "autobiographical memory, memory training, neural networks",

author = "Drago{\c s} Cȋrneci and Mihaela Onu and Papasteri, {Claudiu C.} and Dana Georgescu and C{\u a}t{\u a}lina Poalelungi and Alexandra Sofonea and Nicoleta Pu{\c s}ca{\c s}u and Dumitru Tanase and Teofila R{\u a}deanu and Toader, {Maria Yaelle} and Dogaru, {Andreea L.} and Podin{\u a}, {Ioana R.} and Berceanu, {Alexandru I.} and Ioana Carcea",

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year = "2022",

month = nov,

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doi = "10.1523/ENEURO.0137-22.2022",

language = "American English",

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T1 - Neural Networks Implicated in Autobiographical Memory Training

AU - Cȋrneci, Dragoş

AU - Onu, Mihaela

AU - Papasteri, Claudiu C.

AU - Georgescu, Dana

AU - Poalelungi, Cătălina

AU - Sofonea, Alexandra

AU - Puşcaşu, Nicoleta

AU - Tanase, Dumitru

AU - Rădeanu, Teofila

AU - Toader, Maria Yaelle

AU - Dogaru, Andreea L.

AU - Podină, Ioana R.

AU - Berceanu, Alexandru I.

AU - Carcea, Ioana

PY - 2022/11/1

Y1 - 2022/11/1

N2 - Training of autobiographical memory has been proposed as an intervention to improve cognitive function. The neural substrates for such improvements are poorly understood. Several brain areas have been previously linked to autobiographical recollection, including structures in the default mode network (DMN) and the senso-rimotor network. Here, we tested the hypothesis that changes in connectivity within different neural networks support distinct aspects of memory improvement in response to training on a group of 59 human subjects. We found that memory training using olfactory cues increases resting-state intranetwork 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, preliminary data indicate that only the decrease in sensorimotor connectivity associated with the training-induced decrease in the tumor necrosis factor α (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 with both high-level cognition and somatic physiology are discussed.

AB - Training of autobiographical memory has been proposed as an intervention to improve cognitive function. The neural substrates for such improvements are poorly understood. Several brain areas have been previously linked to autobiographical recollection, including structures in the default mode network (DMN) and the senso-rimotor network. Here, we tested the hypothesis that changes in connectivity within different neural networks support distinct aspects of memory improvement in response to training on a group of 59 human subjects. We found that memory training using olfactory cues increases resting-state intranetwork 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, preliminary data indicate that only the decrease in sensorimotor connectivity associated with the training-induced decrease in the tumor necrosis factor α (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 with both high-level cognition and somatic physiology are discussed.

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KW - neural networks

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Neural Networks Implicated in Autobiographical Memory Training

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