Biomarker-guided neuromodulation aids memory in traumatic brain injury

Kahana, Michael J.; Ezzyat, Youssef; Wanda, Paul A.; Solomon, Ethan A.; Adamovich‐Zeitlin, Richard; Lega, Bradley; Jobst, Barbara C.; Gross, Robert E.; Ding, Kan

doi:10.1016/j.brs.2023.07.002

Cited by 14 publications

(3 citation statements)

References 37 publications

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“…Ripple occurrence at temporal cortex was significantly higher during the encoding of subsequently remembered versus forgotten movie events (t(9) = 3.25, p = 0.01), whereas no significant differences were found for hippocampal (t(9) = -0.66, p = 0.53) or frontal cortex events (t(5) = 0.28, p = 0.79). The current results highlight the relevance of temporal cortex in determining successful encoding, which is in line with studies in humans showing that the direct stimulation of temporal cortex, but not hippocampus or frontal cortex, improves memory formation (Ezzyat et al 2018; Kahana et al 2023).…”

Section: Resultssupporting

confidence: 89%

Neocortico-hippocampal ripple-based coordination during naturalistic encoding

Silva,

Wu,

Sabio

et al. 2023

Preprint

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Memory formation relies on effective communication between the hippocampus and neocortical areas. Ripples have been proposed as a key neural signature facilitating information transmission in the brain. However, their role in human memory encoding during naturalistic scenarios remains unexplored. Here, we recorded intracranial electrophysiological data from ten epilepsy patients watching a movie. Ripples were analyzed in the hippocampus and in neocortical regions (i.e., temporal and frontal cortex). Our results revealed a coordinated neocortico-hippocampal ripple-based interaction during encoding. However, this interaction exhibited distinct timing patterns: ripples in the temporal cortex preceded those from the hippocampus which then preceded those from frontal cortex. Additionally, enhanced hippocampal ripple recruitment was observed at event boundaries, reflecting hippocampal involvement in event segmentation. These findings shed light on the neural mechanisms underlying memory encoding and provide insights into the role of ripples in event segmentation, suggesting their potential role in forming long-term memories of distinct episodes.

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Section: Resultssupporting

confidence: 89%

Neocortico-hippocampal ripple-based coordination during naturalistic encoding

Silva,

Wu,

Sabio

et al. 2023

Preprint

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“…The effectiveness of computer-based cognitive training in augmenting episodic memory with active tDCS was evaluated to compare it to sham tDCS. Alpha frequency was shown to increase near active electrodes, demonstrating better performance correlation in neuropsychological tests [52]. In addition, Sacco et al [60] displayed that cognitive effort is reduced in patients with TBI through combined tDCS and computer-based training, which appears to promote neuronal reorganization.…”

Section: Neuromodulation Techniques and Rehabilitation In Tbi Patientsmentioning

confidence: 98%

Traumatic Brain Injury and Neuromodulation Techniques in Rehabilitation: A Scoping Review

Calderone,

Cardile,

Gangemi

et al. 2024

Biomedicines

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Background and Objectives: Traumatic Brain Injury (TBI) is a condition in which an external force, usually a violent blow to the head, causes functional impairment in the brain. Neuromodulation techniques are thought to restore altered function in the brain, resulting in improved function and reduced symptoms. Brain stimulation can alter the firing of neurons, boost synaptic strength, alter neurotransmitters and excitotoxicity, and modify the connections in their neural networks. All these are potential effects on brain activity. Accordingly, this is a promising therapy for TBI. These techniques are flexible because they can target different brain areas and vary in frequency and amplitude. This review aims to investigate the recent literature about neuromodulation techniques used in the rehabilitation of TBI patients. Materials and Methods: The identification of studies was made possible by conducting online searches on PubMed, Web of Science, Cochrane, Embase, and Scopus databases. Studies published between 2013 and 2023 were selected. This review has been registered on OSF (JEP3S). Results: We have found that neuromodulation techniques can improve the rehabilitation process for TBI patients in several ways. Transcranial Magnetic Stimulation (TMS) can improve cognitive functions such as recall ability, neural substrates, and overall improved performance on neuropsychological tests. Repetitive TMS has the potential to increase neural connections in many TBI patients but not in all patients, such as those with chronic diffuse axonal damage.Conclusions: This review has demonstrated that neuromodulation techniques are promising instruments in the rehabilitation field, including those affected by TBI. The efficacy of neuromodulation can have a significant impact on their lives and improve functional outcomes for TBI patients.

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“…Accurately predicting downstream behavior based on neural activity laid the foundation for developing brain-computer interfaces for therapeutic intervention. In particular, recent studies have used model-based, closed-loop electrical stimulation of lateral temporal cortex to improve memory in neurosurgical patients (Ezzyat et al, 2018; Kahana et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Decoding EEG for optimizing naturalistic memory

Rudoler,

Bruska,

Chang

et al. 2023

Preprint

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Spectral features of human electroencephalographic (EEG) recordings predict variability in both memory encoding and retrieval. Here we develop and test a non-invasive closed-loop (NICL) system for optimizing human learning in real time by capitalizing on these fluctuating neural features. Participants play a virtual navigation and memory game; recording multisession data across days allowed us to build participant-specific classification models of recall success. In subsequent closed-loop sessions, our platform manipulated the timing of memory encoding, selectively presenting items during periods of predicted good or poor memory function based on EEG features decoded in real time. Whereas this manipulation of stimulus timing did not reliably modulate recall performance, we hypothesized that our ability to predict memory performance from EEG would dictate the success of the procedure. We confirm this by showing that the induced recall differences between presentation conditions correlated with a participant’s out-of-sample classification performance. These findings present a proof-of-concept for using non-invasive closed-loop technology to optimize human learning and memory and provide evidence that generalizing prediction to new recording sessions is a key hurdle to the success of these systems.

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Biomarker-guided neuromodulation aids memory in traumatic brain injury

Cited by 14 publications

References 37 publications

Neocortico-hippocampal ripple-based coordination during naturalistic encoding

Neocortico-hippocampal ripple-based coordination during naturalistic encoding

Traumatic Brain Injury and Neuromodulation Techniques in Rehabilitation: A Scoping Review

Decoding EEG for optimizing naturalistic memory

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