Constructing and Forgetting Temporal Context in the Human Cerebral Cortex

Chien, Hsiang-Yun Sherry; Honey, Christopher J.

doi:10.1101/761593

Cited by 43 publications

(107 citation statements)

References 79 publications

(126 reference statements)

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“…Future work could characterize integration periods outside of auditory cortex by using a longer range of segment durations and focusing on just speech or music, which exhibit longer-term temporal structure 8,18,42 . For example, a recent fMRI study provided evidence for multi-second integration periods in regions outside of auditory cortex by examining the delay needed for responses to speech to become context invariant 52 . This study was not able to estimate temporal integration periods within auditory cortex because the timescale of the fMRI response is an order of magnitude slower than auditory cortical integration periods.…”

Section: Discussionmentioning

confidence: 99%

Multiscale integration organizes hierarchical computation in human auditory cortex

Norman-Haignere

Devinsky

et al. 2020

Preprint

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To derive meaning from natural sounds, the brain must integrate information across tens to hundreds of milliseconds. But it is unknown how different regions and hemispheres of human auditory cortex collectively integrate across multiple timescales. To answer this question, we developed a novel method to estimate integration periods and applied this method to intracranial recordings. We show that human auditory cortex integrates across time hierarchically, with three-fold longer integration periods in non-primary vs. primary regions, but no difference between hemispheres. Moreover, we show that selectivity for categories, such as speech and music, is restricted to electrodes with long integration periods. These findings suggest that short-term structure in natural sounds is analyzed by general-purpose acoustic mechanisms in primary auditory cortex, and then integrated over long timescales to form category-specific representations in non-primary regions. Our study thus reveals how the human brain constructs abstract representations of sound by integrating across multiple timescales.

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Section: Discussionmentioning

confidence: 99%

Multiscale integration organizes hierarchical computation in human auditory cortex

Norman-Haignere

Devinsky

et al. 2020

Preprint

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“…Early work focused on reproducing the correlation between model and empirical static FC matrices at the edge-level (11,30). Subsequent studies introduced additional constraints, such as evaluating the fit to dynamic FC properties (25) (35,37).…”

Section: Evaluating Different Forms Of Regional Heterogeneitymentioning

confidence: 99%

Dynamical consequences of regional heterogeneity in the brain’s transcriptional landscape

Deco

Aquino

Arnatkevičiūtė

et al. 2020

Preprint

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Brain regions vary in their molecular and cellular composition, but how this heterogeneity shapes neuronal dynamics is unclear. Here, we investigate the dynamical consequences of regional heterogeneity using a biophysical model of whole-brain functional magnetic resonance imaging (MRI) dynamics in humans. We show that models in which transcriptional variations in excitatory and inhibitory receptor (E:I) gene expression constrain regional heterogeneity more accurately reproduce the spatiotemporal structure of empirical functional connectivity estimates than do models constrained by global gene expression profiles and MRI-derived estimates of myeloarchitecture. We further show that regional heterogeneity is essential for yielding both ignition-like dynamics, which are thought to support conscious processing, and a wide variance of regional activity timescales, which supports a broad dynamical range. We thus identify a key role for E:I heterogeneity in generating complex neuronal dynamics and demonstrate the viability of using transcriptional data to constrain models of large-scale brain function.

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“…Numerous studies, mainly using electrophysiological recordings, suggest that intrinsic timescales systematically vary over the cortex [32,51,61,71]. The primary functional consequence of this hierarchy of timescales is thought to be a hierarchy of temporal receptive windows: time windows in which a newly arriving stimulus will modify processing of previously presented information [7,15,16,43,48,50]. Thus, areas at the bottom of the hierarchy preferentially respond to immediate changes in the sensory environment, while areas at the top of the hierarchy preferentially respond to more * bratislav.misic@mcgill.ca long-lived or contextual information.…”

Section: Introductionmentioning

confidence: 99%

Topographic gradients of intrinsic dynamics across neocortex

Shafiei

Markello

Wael

et al. 2020

Preprint

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AbstractThe intrinsic dynamics of neuronal populations are shaped by both macroscale connectome architecture and microscale attributes. Neural activity arising from the interplay of these local and global factors therefore varies from moment to moment, with rich temporal patterns. Here we comprehensively characterize intrinsic dynamics throughout the human brain. Applying massive temporal feature extraction to regional haemodynamic activity, we estimate over 6,000 statistical properties of individual brain regions’ time series across the neocortex. We identify two robust topographic gradients of intrinsic dynamics, one spanning a ventromedial-dorsolateral axis and the other spanning a unimodal-transmodal axis. These gradients are distinct in terms of their temporal composition and reflect spatial patterns of microarray gene expression, intracortical myelin and cortical thickness, as well as structural and functional network embedding. Importantly, these gradients are closely correlated with patterns of functional activation, differentiating cognitive versus affective processing and sensory versus higher-order cognitive processing. Altogether, these findings demonstrate a link between microscale and macroscale architecture, intrinsic dynamics, and cognition.

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Constructing and Forgetting Temporal Context in the Human Cerebral Cortex

Cited by 43 publications

References 79 publications

Multiscale integration organizes hierarchical computation in human auditory cortex

Multiscale integration organizes hierarchical computation in human auditory cortex

Dynamical consequences of regional heterogeneity in the brain’s transcriptional landscape

Topographic gradients of intrinsic dynamics across neocortex

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