Large-Scale Communication in the Human Brain Is Rhythmically Modulated through Alpha Coherence

Chapeton, Julio; Haque, Rafi U.; Wittig, John H.; Inati, Sara K.; Zaghloul, Kareem A.

doi:10.1016/j.cub.2019.07.014

Cited by 107 publications

(98 citation statements)

References 65 publications

(121 reference statements)

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“…A repeated-measures one-way ANOVA of WND at the ROI revealed a significant effect of frequency band (F4,76=33.34, p<.001) with FC values significantly higher in the α band than in all other bands (p<0.05, Tukey-Kramer HSD). This confirms that the α band was the preferential frequency for neural communication (Chapeton et al, 2019). A repeatedmeasures one-way ANOVA showed no effect of time across the twelve seconds of inter-block restingperiods (F22,418=.56, p>.9), hence demonstrating that the α-band FC states were stable during resting periods (Fig.…”

Section: Task-induced Activation and Spontaneous Network Couplingsupporting

confidence: 66%

Spontaneous Network Coupling Enables Efficient Task Performance without Local Task-Induced Activations

et al. 2020

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Neurobehavioral studies in humans have long concentrated on changes in local activity levels during repetitive executions of a task. Spontaneous neural coupling within extended networks has latterly been found to also influence performance. Here, we intend to uncover the underlying mechanisms and the interaction with task-induced activations. We demonstrate that high performers in visual perception and motor sequence tasks present an absence of classical task-induced activations, but, instead, strong spontaneous network coupling. Activations were thus a compensation mechanism needed only in subjects with lower spontaneous network interactions. This challenges classical models of neural processing and calls for new strategies in attempts to train and enhance performance.

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Section: Task-induced Activation and Spontaneous Network Couplingsupporting

confidence: 66%

Spontaneous Network Coupling Enables Efficient Task Performance without Local Task-Induced Activations

et al. 2020

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“…Researchers could also relate preictal/interictal networks to other seizure features, such as seizure propagation patterns, perhaps by investigating how the underlying structural connectome relates to functional networks (64) and mediates seizure spread (63). Importantly, the relationship between preictal network dynamics and seizure features could be limited to a specific frequency band (23), which could in turn suggest possible physiological mechanisms for the observed changes in seizure dynamics (65,66). Additional aspects of interictal dynamics, such as the pattern of highfrequency oscillations (21) and band power changes (17), may also be linked to changes in seizure features.…”

Section: Discussionmentioning

confidence: 99%

Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy

Schroeder

Diehl

Chowdhury

et al. 2020

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

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Personalized medicine requires that treatments adapt to not only the patient but also changing factors within each individual. Although epilepsy is a dynamic disorder characterized by pathological fluctuations in brain state, surprisingly little is known about whether and how seizures vary in the same patient. We quantitatively compared within-patient seizure network evolutions using intracranial electroencephalographic (iEEG) recordings of over 500 seizures from 31 patients with focal epilepsy (mean 16.5 seizures per patient). In all patients, we found variability in seizure paths through the space of possible network dynamics. Seizures with similar pathways tended to occur closer together in time, and a simple model suggested that seizure pathways change on circadian and/or slower timescales in the majority of patients. These temporal relationships occurred independent of whether the patient underwent antiepileptic medication reduction. Our results suggest that various modulatory processes, operating at different timescales, shape within-patient seizure evolutions, leading to variable seizure pathways that may require tailored treatment approaches.

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“…For each participant, iEEG data were pre-processed separately for each session in two steps. In the first step, we rejected electrodes exhibiting abnormal signal amplitude or large line noise 58 , 59 . Specifically, we divided each session into one-second epochs and for each electrode calculated the amplitude and variance of the continuous time series over each epoch.…”

Section: Methodsmentioning

confidence: 99%

Memorability of words in arbitrary verbal associations modulates memory retrieval in the anterior temporal lobe

et al. 2020

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Despite large individual differences in memory performance, people remember certain stimuli with overwhelming consistency. This phenomenon is referred to as the memorability of an individual item. It remains unknown, however, whether memorability also affects our ability to retrieve associations between items. Here, using a paired associates verbal memory task, we combine behavioural data, computational modelling, and direct recordings from the human brain to examine how memorability influences associative memory retrieval. We find that certain words are correctly retrieved across participants irrespective of the cues used to initiate memory retrieval. These words, which share greater semantic similarity with other words, are more readily available during retrieval and lead to more intrusions when retrieval fails. Successful retrieval of these memorable items, relative to less memorable ones, results in faster reinstatement of neural activity in the anterior temporal lobe. Collectively, our data reveal how the brain prioritizes certain information to facilitate memory retrieval.

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Large-Scale Communication in the Human Brain Is Rhythmically Modulated through Alpha Coherence

Cited by 107 publications

References 65 publications

Spontaneous Network Coupling Enables Efficient Task Performance without Local Task-Induced Activations

Spontaneous Network Coupling Enables Efficient Task Performance without Local Task-Induced Activations

Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy

Memorability of words in arbitrary verbal associations modulates memory retrieval in the anterior temporal lobe

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