Is temporo-spatial dynamics the “common currency” of brain and mind? In Quest of “Spatiotemporal Neuroscience”

Northoff, Georg; Wainio-Theberge, Soren; Evers, Kathinka

doi:10.1016/j.plrev.2019.05.002

Cited by 189 publications

(142 citation statements)

References 110 publications

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“…Taken together, our data show that temporal integration on the psychological level of self (as tested for in the delays of the selfmatching task) is related to temporal integration on the neuronal level of the brain's spontaneous activity (as indexed by PLE and ACW). We therefore conclude that temporal integration mediates the connection or link of neuronal and psychological levels of self, thus reflecting what recently has been described as "common currency" (Northoff et al, 2020).…”

Section: Discussionsupporting

confidence: 83%

“…Specifically, neuronal indices of temporal integration, for example, PLE and ACW, relate to psychological measures of temporal integration with respect to self, that is, SPE delay effects. We therefore tentatively propose that temporal integration on the neuronal level serves as template or blueprint (in yet unclear ways though) for temporal integration on the psychological level-temporal integration may serve as "common currency" of brain and self (Northoff et al, 2020 CIHR, and PSI. We thank Alana Sorgini for her assistance in data collection for this experiment.…”

Section: Discussionmentioning

confidence: 93%

“…We hypothesize that temporal pooling is a mechanism that mediates the temporal integration on both the neuronal and psychological level. Temporal pooling and thus temporal integration can therefore be considered an example of what was recently described as "common currency" of neuronal and psychological levels (Northoff et al, 2020). However, more research is needed to lend further support to this hypothesis.…”

Section: Temporal Pooling As Mechanism Of Temporal Integrationmentioning

confidence: 89%

“…The relationship of scale-free properties of neuronal activity with the temporal delay effects on the SPE suggests that temporal integration on the neuronal level shapes temporal integration on the psychological level of self. We therefore propose that the relationship between neuronal ACW/PLE and psychological SPE delay effects may be mediated in a temporal way-temporal integration could provide the "common currency" (Northoff et al, 2020) of neuronal and psychological levels. That is further supported by our observation that cognitive functions like working memory and learning neither modulated SPE delay effects on the psychological level nor co-varied with the ACW/PLE-SPE delay relationships.…”

Section: Temporal Integration Links Neuronal and Psychological Levelsmentioning

confidence: 99%

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Temporal integration as “common currency” of brain and self‐scale‐free activity in resting‐stateEEGcorrelates with temporal delay effects on self‐relatedness

Kolvoort

Wainio-Theberge

Wolff

et al. 2020

Human Brain Mapping

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The self is a multifaceted phenomenon that integrates information and experience across multiple time scales. How temporal integration on the psychological level of the self is related to temporal integration on the neuronal level remains unclear. To investigate temporal integration on the psychological level, we modified a well‐established self‐matching paradigm by inserting temporal delays. On the neuronal level, we indexed temporal integration in resting‐state EEG by two related measures of scale‐free dynamics, the power law exponent and autocorrelation window. We hypothesized that the previously established self‐prioritization effect, measured as decreased response times or increased accuracy for self‐related stimuli, would change with the insertion of different temporal delays between the paired stimuli, and that these changes would be related to temporal integration on the neuronal level. We found a significant self‐prioritization effect on accuracy in all conditions with delays, indicating stronger temporal integration of self‐related stimuli. Further, we observed a relationship between temporal integration on psychological and neuronal levels: higher degrees of neuronal integration, that is, higher power‐law exponent and longer autocorrelation window, during resting‐state EEG were related to a stronger increase in the self‐prioritization effect across longer temporal delays. We conclude that temporal integration on the neuronal level serves as a template for temporal integration of the self on the psychological level. Temporal integration can thus be conceived as the “common currency” of neuronal and psychological levels of self.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 93%

Section: Temporal Pooling As Mechanism Of Temporal Integrationmentioning

confidence: 89%

Section: Temporal Integration Links Neuronal and Psychological Levelsmentioning

confidence: 99%

See 2 more Smart Citations

Temporal integration as “common currency” of brain and self‐scale‐free activity in resting‐stateEEGcorrelates with temporal delay effects on self‐relatedness

Kolvoort

Wainio-Theberge

Wolff

et al. 2020

Human Brain Mapping

Self Cite

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“…Many recent studies in neuroscience have stressed the importance of spatiotemporal dynamics of brain activity for our understanding of brain function (Cichy et al 2016;Northoff, Wainio-Theberge, and Evers 2019;Deco et al 2019;Atasoy, Deco, and Kringelbach 2019) . Electroencephalography (EEG) records brain activity with millisecond temporal resolution, underlying Fourier series.…”

Section: Introductionmentioning

confidence: 99%

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

Glomb

Rué-Queralt

Pascucci

et al. 2020

Preprint

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We present an approach for tracking fast spatiotemporal cortical dynamics in which we combine white matter connectivity data with source-projected electroencephalographic (EEG) data. We employ the mathematical framework of graph signal processing in order to derive the Fourier modes of the brain structural connectivity graph, or "network harmonics" . These network harmonics are naturally ordered by smoothness. Smoothness in this context can be understood as the amount of variation along the cortex, leading to a multi-scale representation of brain connectivity. We demonstrate that network harmonics provide a sparse representation of the EEG signal, where, at certain times, the smoothest 15 network harmonics capture 90% of the signal power. This suggests that network harmonics are functionally meaningful, which we demonstrate by using them as a basis for the functional EEG data recorded from a face detection task. There, only 13 network harmonics are sufficient to track the large-scale cortical activity during the processing of the stimuli with a 50 ms resolution, reproducing well-known activity in the fusiform face area as well as revealing co-activation patterns in somatosensory/motor and frontal cortices that an unconstrained ROI-by-ROI analysis fails to capture. The proposed approach is simple and fast, provides a means of integration of multimodal datasets, and is tied to a theoretical framework in mathematics and physics. Thus, network harmonics point towards promising research directions both theoretically -for example in exploring the relationship between structure and function in the brain -and practically -for example for network tracking in different tasks and groups of individuals, such as patients.

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Navigating Pubertal Goldilocks: The Optimal Pace for Hierarchical Brain Organization

Szakács,

Mutlu,

Balestrieri

et al. 2024

Advanced Science

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Adolescence is a timed process with an onset, tempo, and duration. Nevertheless, the temporal dimension, especially the pace of maturation, remains an insufficiently studied aspect of developmental progression. The primary objective is to estimate the precise influence of pubertal maturational tempo on the configuration of associative brain regions. To this end, the connection between maturational stages and the level of hierarchical organization of large‐scale brain networks in 12‐13‐year‐old females is analyzed. Skeletal maturity is used as a proxy for pubertal progress. The degree of maturity is defined by the difference between bone age and chronological age. To assess the level of hierarchical organization in the brain, the temporal dynamic of closed eye resting state high‐density electroencephalography (EEG) in the alpha frequency range is analyzed. Different levels of hierarchical order are captured by the measured asymmetry in the directionality of information flow between different regions. The calculated EEG‐based entropy production of participant groups is then compared with accelerated, average, and decelerated maturity. Results indicate that an average maturational trajectory optimally aligns with cerebral hierarchical order, and both accelerated and decelerated timelines result in diminished cortical organization. This suggests that a “Goldilocks rule” of brain development is favoring a particular maturational tempo.

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Is temporo-spatial dynamics the “common currency” of brain and mind? In Quest of “Spatiotemporal Neuroscience”

Cited by 189 publications

References 110 publications

Temporal integration as “common currency” of brain and self‐scale‐free activity in resting‐stateEEGcorrelates with temporal delay effects on self‐relatedness

Temporal integration as “common currency” of brain and self‐scale‐free activity in resting‐stateEEGcorrelates with temporal delay effects on self‐relatedness

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

Navigating Pubertal Goldilocks: The Optimal Pace for Hierarchical Brain Organization

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