Intrinsic and Task-Dependent Coupling of Neuronal Population Activity in Human Parietal Cortex

Foster, Brett L.; Rangarajan, Vinitha; Shirer, William R.; Parvizi, Josef

doi:10.1016/j.neuron.2015.03.018

Cited by 157 publications

(179 citation statements)

References 52 publications

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“…S3C). Stable infraslow BLP correlations across wake and SWS agree with previously reported work (21,22). Finally, we verified that the cortical and hippocampal electrodes in each patient had power at all analyzed frequencies during both wake and SWS (SI Appendix, Fig.…”

Section: Significancesupporting

confidence: 90%

“…These reversals are especially prominent in the DMN, the visual network, and the auditory network. A prominent DMN effect is significant, given the emerging work associating the ongoing function of this network with declarative memory processes both during waking recall (22,45) and during offline consolidation (46). Functional signaling between the hippocampus and the DMN is also consistent with the robust anatomical connections between these systems (47).…”

Section: Discussionmentioning

confidence: 77%

“…Both infraslow potentials and infraslow fluctuations in BLP exhibit temporal correlation patterns that have been shown to correspond to RSNs derived using rs-fMRI (20,22). Owing to clinical amplifier limitations, infraslow potentials were not available in the present data; hence, we examined cortical-hippocampal lags in infraslow BLP fluctuations, parametric in carrier frequency: δ (0.5-4 Hz), θ (4-8 Hz), α (8-12 Hz), and γ (40-100 Hz).…”

Section: Significancementioning

confidence: 85%

“…Infraslow activity in ECoG has previously been assessed in two ways, either through infraslow LFPs (20) or infraslow fluctuations in band-limited power (BLP) (21)(22)(23). Both infraslow potentials and infraslow fluctuations in BLP exhibit temporal correlation patterns that have been shown to correspond to RSNs derived using rs-fMRI (20,22).…”

Section: Significancementioning

confidence: 99%

“…Owing to clinical amplifier limitations, infraslow potentials were not available in the present data; hence, we examined cortical-hippocampal lags in infraslow BLP fluctuations, parametric in carrier frequency: δ (0.5-4 Hz), θ (4-8 Hz), α (8-12 Hz), and γ (40-100 Hz). Use of infraslow BLP to assess infraslow fluctuations in electrophysiology is well established (21)(22)(23)(24).…”

Section: Significancementioning

confidence: 99%

See 4 more Smart Citations

Human cortical–hippocampal dialogue in wake and slow-wave sleep

Mitra

Snyder

Hacker

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

110

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Declarative memory consolidation is hypothesized to require a twostage, reciprocal cortical-hippocampal dialogue. According to this model, higher frequency signals convey information from the cortex to hippocampus during wakefulness, but in the reverse direction during slow-wave sleep (SWS). Conversely, lower-frequency activity propagates from the information "receiver" to the "sender" to coordinate the timing of information transfer. Reversal of sender/ receiver roles across wake and SWS implies that higher-and lower-frequency signaling should reverse direction between the cortex and hippocampus. However, direct evidence of such a reversal has been lacking in humans. Here, we use human resting-state fMRI and electrocorticography to demonstrate that δ-band activity and infraslow activity propagate in opposite directions between the hippocampus and cerebral cortex. Moreover, both δ activity and infraslow activity reverse propagation directions between the hippocampus and cerebral cortex across wake and SWS. These findings provide direct evidence for state-dependent reversals in human cortical-hippocampal communication.D eclarative memories are initially hippocampus-dependent and gradually become hippocampus-independent over time, that is, consolidated (1, 2). It is theorized that a two-stage reciprocal dialogue between the hippocampus and the cerebral cortex underlies memory consolidation (3-5). According to this model, active behavior generates experiential codes in the cortex that are transmitted to the hippocampus, which houses a labile information store. Later, during slow-wave sleep (SWS), recently acquired hippocampal information is reactivated and transmitted to the cerebral cortex, where it is integrated into a more permanent memory store (5, 6). Thus, the hippocampus and cerebral cortex are proposed to exchange roles in sending and receiving information across wake and SWS (5, 6). Importantly, this model does not imply that all signals travel from the "sender" to the "receiver." Instead, the theory proposes that high-frequency activity carries information from the sender to receiver, that is, from the cortex to hippocampus or the hippocampus to cortex, depending on the stage of memory consolidation (wake or SWS, respectively) (4). Conversely, low-frequency activity propagates from the receiver back to the sender to coordinate the transfer of high-frequency information through modulation of the sender's excitability (4, 7-9). Hence, the two-stage reciprocal dialogue model predicts that lower and higher frequency activity between the hippocampus and cortex should propagate in opposite directions across wake and SWS, as illustrated in the schematic in Fig. 1. However, such reversal has not been directly observed in humans.We have recently analyzed temporal lags (delays) in neural signals to study the net propagation of spontaneous activity. In particular, we investigated resting-state fMRI (rs-fMRI) blood oxygen level-dependent (BOLD) signals and demonstrated directed propagation of infraslow activity (<0.1...

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Section: Significancesupporting

confidence: 90%

Section: Discussionmentioning

confidence: 77%

Section: Significancementioning

confidence: 85%

Section: Significancementioning

confidence: 99%

Section: Significancementioning

confidence: 99%

See 3 more Smart Citations

Human cortical–hippocampal dialogue in wake and slow-wave sleep

Mitra

Snyder

Hacker

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

110

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Assessing Autobiographical Memory

Diamond

Armson

Palombo

et al. 2018

Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience

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Autobiographical memory is notoriously difficult to study in the laboratory because it involves many different cognitive processes and is subject to several “real‐world” factors. It is imperative that we understand the processes involved in autobiographical memory given that these processes are affected in several conditions, such as depression and dementia, and they are critical for a variety of daily life functions. We review established models and assessments of autobiographical memory as well as recent advances in the tools and approaches used to investigate autobiographical memory. We note the implications of these new assessment methods for our understanding of the underlying neurocognitive mechanisms of autobiographical memory as well as related clinical conditions.

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An interspecies comparative study of invasive electrophysiological functional connectivity

et al. 2017

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IntroductionResting‐state connectivity patterns have been observed in humans and other mammal species, and can be recorded using a variety of different technologies. Functional connectivity has been previously compared between species using resting‐state fMRI, but not in electrophysiological studies.MethodsWe compared connectivity with implanted electrodes in humans (electrocorticography) to macaques and sheep (microelectrocorticography), which are capable of recording neural data at high frequencies with spatial precision. We specifically examined synchrony, implicated in functional integration between regions.ResultsWe found that connectivity strength was overwhelmingly similar in humans and monkeys for pairs of two different brain regions (prefrontal, motor, premotor, parietal), but differed more often within single brain regions. The two connectivity measures, correlation and phase locking value, were similar in most comparisons. Connectivity strength agreed more often between the species at higher frequencies. Where the species differed, monkey synchrony was stronger than human in all but one case. In contrast, human and sheep connectivity within somatosensory cortex diverged in almost all frequencies, with human connectivity stronger than sheep.DiscussionOur findings imply greater heterogeneity within regions in humans than in monkeys, but comparable functional interactions between regions in the two species. This suggests that monkeys may be effectively used to probe resting‐state connectivity in humans, and that such findings can then be validated in humans. Although the discrepancy between humans and sheep is larger, we suggest that findings from sheep in highly invasive studies may be used to provide guidance for studies in other species.

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Intrinsic and Task-Dependent Coupling of Neuronal Population Activity in Human Parietal Cortex

Cited by 157 publications

References 52 publications

Human cortical–hippocampal dialogue in wake and slow-wave sleep

Human cortical–hippocampal dialogue in wake and slow-wave sleep

Assessing Autobiographical Memory

An interspecies comparative study of invasive electrophysiological functional connectivity

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