State-dependent circuit dynamics of superficial and deep CA1 pyramidal cells in macaques DOI Creative Commons
Saman Abbaspoor, Kari L. Hoffman

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Дек. 6, 2023

Abstract Diverse neuron classes in hippocampal CA1 have been identified through the heterogeneity of their cellular/molecular composition. How these relate to function and network dynamics that support cognition primates remains unclear. Here we report inhibitory functional cell groups freely-moving macaques whose diverse response profiles states each other suggest distinct specific roles microcircuit CA1. In addition, pyramidal cells were segregated into superficial deep layers differed firing rate, burstiness, sharp-wave ripple-associated firing. They also showed strata-specific spike-timing interactions with groups, suggestive neural populations. Furthermore, ensemble recordings revealed assemblies preferentially organized according strata. These results sublayer-specific circuit organization may underlie its role cognition.

Язык: Английский

Hippocampo-cortical circuits for selective memory encoding, routing, and replay DOI
Ryan E. Harvey, Heath L. Robinson, Can Liu

и другие.

Neuron, Год журнала: 2023, Номер 111(13), С. 2076 - 2090.e9

Опубликована: Май 16, 2023

Язык: Английский

Процитировано

68

Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders DOI Creative Commons

Ana Clara Caznok Silveira,

André Saraiva Leão Marcelo Antunes, Maria Carolina Pedro Athié

и другие.

Frontiers in Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Фев. 20, 2024

The study of brain connectivity has been a cornerstone in understanding the complexities neurological and psychiatric disorders. It provided invaluable insights into functional architecture how it is perturbed However, persistent challenge achieving proper spatial resolution, developing computational algorithms to address biological questions at multi-cellular level, scale often referred as mesoscale. Historically, neuroimaging studies have predominantly focused on macroscale, providing inter-regional connections but falling short resolving intricacies neural circuitry cellular or mesoscale level. This limitation hindered our ability fully comprehend underlying mechanisms disorders develop targeted interventions. In light this issue, review manuscript seeks bridge critical gap by delving domain neuroimaging. We aim provide comprehensive overview conditions affected aberrant connections, image acquisition techniques, feature extraction, data analysis methods that are specifically tailored further delineate potential research elucidate complex questions, with particular focus schizophrenia epilepsy. encompasses topics such dendritic spine quantification, single neuron morphology, region connectivity. showcase applicability significance techniques field neuroscience, highlighting their for gaining

Язык: Английский

Процитировано

12

Cutting-edge methodologies for tagging and tracing active neuronal coding in the brain DOI
Kenichiro Nagahama,

Volker Jung,

Hyung‐Bae Kwon

и другие.

Current Opinion in Neurobiology, Год журнала: 2025, Номер 92, С. 102997 - 102997

Опубликована: Март 8, 2025

Язык: Английский

Процитировано

1

Organizing the coactivity structure of the hippocampus from robust to flexible memory DOI
Giuseppe P. Gava,

Laura Lefèvre,

Tabitha Broadbelt

и другие.

Science, Год журнала: 2024, Номер 385(6713), С. 1120 - 1127

Опубликована: Сен. 5, 2024

New memories are integrated into prior knowledge of the world. But what if consecutive exert opposing demands on host brain network? We report that acquiring a robust (food-context) memory constrains mouse hippocampus within population activity space highly correlated spike trains prevents subsequent computation flexible (object-location) memory. This densely firing structure developed over repeated mnemonic experience, gradually coupling neurons in superficial sublayer CA1 stratum pyramidale to whole-population activity. Applying hippocampal theta-driven closed-loop optogenetic suppression mitigate this neuronal recruitment during formation relaxed topological constraint coactivity and restored These findings uncover an organizational principle for peer-to-peer cell meet demands.

Язык: Английский

Процитировано

5

Circuit dynamics of superficial and deep CA1 pyramidal cells and inhibitory cells in freely moving macaques DOI Creative Commons
Saman Abbaspoor, Kari L. Hoffman

Cell Reports, Год журнала: 2024, Номер 43(8), С. 114519 - 114519

Опубликована: Июль 16, 2024

Diverse neuron classes in hippocampal CA1 have been identified through the heterogeneity of their cellular/molecular composition. How these relate to function and network dynamics that support cognition primates remains unclear. Here, we report inhibitory functional cell groups freely moving macaques whose diverse response profiles states each other suggest distinct specific roles microcircuit CA1. In addition, pyramidal cells were grouped by superficial or deep layer position differed firing rate, burstiness, sharp-wave ripple-associated firing. They also showed strata-specific spike-timing interactions with groups, suggestive segregated neural populations. Furthermore, ensemble recordings revealed assemblies preferentially organized according strata. These results bears a sublayer-specific circuit organization may shape its role cognition.

Язык: Английский

Процитировано

3

Hippocampal Ripple Diversity organises Neuronal Reactivation Dynamics in the Offline Brain DOI Creative Commons
Manfredi Castelli, Vítor Lopes‐dos‐Santos, Giuseppe P. Gava

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Март 12, 2025

Summary Hippocampal ripples are highly synchronized neuronal population patterns reactivating past waking experiences in the offline brain. Whether level, structure, and content of ripple-nested activity consistent across consecutive events or tuned each event remains unclear. By profiling individual using laminar currents mouse hippocampus during sleep/rest, we identified Rad sink LM featuring current sinks stratum radiatum versus lacunosum-moleculare , respectively. These two ripple profiles recruit neurons differently. integrate recent motifs coactivity, combining superficial deep CA1 principal cells into denser, higher-dimensional that undergo hour-long stable reactivation. In contrast, contain core prior engaging sparser, lower-dimensional a reactivation drift, gradually updating their pre-structured for wakefulness. We propose ripple-by-ripple diversity instantiates parallel channels integration wakefulness flexible internal representations.

Язык: Английский

Процитировано

0

Representation of Spatial Information in Field CA1 DOI
Ivan Mysin, A. O. Vasilev,

S. V. Dubrovin

и другие.

Neuroscience and Behavioral Physiology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0

Experience reorganizes content-specific memory traces in macaques DOI Creative Commons
Saman Abbaspoor, Ayman Aljishi, Kari L. Hoffman

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Апрель 14, 2025

Abstract Memory formation requires neural activity reorganization during experience that persists in sleep. How these processes promote learning while preserving established memories remains unclear. We recorded ensemble from hippocampal and associated regions freely moving macaques as they recalled item sequences presented day (“new”), one prior (“recent”), or over two weeks (“old”). Cell assemblies biased for old showed less drift, greater network connectivity, stronger sleep reactivation than new-biased assemblies. Pairs of recent formed persistent task-to-sleep coupling (“metassemblies”), unlike new assembly pairs. In the hippocampus, propensity superficial deep CA1 pyramidal cells to form integrated increased with memory age. These findings reveal rapid organization stabilization primate brain, suggesting potential mechanisms balancing linking durability.

Язык: Английский

Процитировано

0

Spatio-temporal organization of network activity patterns in the hippocampus DOI Creative Commons
Vítor Lopes‐dos‐Santos, Demi Brizee, David Dupret

и другие.

Cell Reports, Год журнала: 2025, Номер 44(6), С. 115808 - 115808

Опубликована: Июнь 1, 2025

Understanding how coordinated neural networks support brain functions remains a central goal in neuroscience. The hippocampus, with its layered architecture and structured inputs to diverse cell populations, is tractable model for dissecting operating microcircuits through the analysis of electrophysiological signatures. We investigated hippocampal network patterns behaving mice by developing low-dimensional embedding local field potentials recorded along CA1-to-dentate gyrus axis. This revealed layer-specific gamma profiles reflecting spatially organized rhythms their associated principal cell-interneuron firing motifs. Moreover, behaviors CA1 radial axis distinguished between deep superficial cells, as well interneurons from pyramidal, radiatum, lacunosum-moleculare layers. These findings provide comprehensive map spatiotemporal activity underlying functions.

Язык: Английский

Процитировано

0

Approaches and considerations of studying neuronal ensembles: a brief review DOI Creative Commons
Cameron Davidson,

Alixandria T. Mascarin,

Majd A. Yahya

и другие.

Frontiers in Cellular Neuroscience, Год журнала: 2023, Номер 17

Опубликована: Дек. 14, 2023

First theorized by Hebb, neuronal ensembles have provided a framework for understanding how the mammalian brain operates, especially regarding learning and memory. Neuronal are discrete, sparsely distributed groups of neurons that become activated in response to specific stimulus thought provide an internal representation world. Beyond study region-wide or projection-wide activation, offers increased specificity resolution identify target memories associations. Neuroscientists interested neurobiology learning, memory, motivated behavior used electrophysiological-, calcium-, protein-based proxies activity preclinical models better understand learned behaviors. Although these three approaches may be pursue same general goal studying ensembles, technical differences lead inconsistencies output interpretation data. This mini-review highlights some methodologies studies discusses their strengths weaknesses.

Язык: Английский

Процитировано

3