Intracranial EEG

…recorded simultaneously with scalp EEG in healthy participants and intracranial EEG in epilepsy

…further investigate this, we recorded intracranial EEG data from seventeen epileptic patients with implants in primary and associative auditory cortical regions. We utilized a stimulus set comprising one hundred a cappella songs, each presented in three versions: temporally degraded,

…Electrical stimulations in intracranial EEG (iEEG) can help probe effective connectivity over time and brain states through the measurement of cortico-cortical evoked potentials (CCEPs).In 15 epilepsy patients undergoing iEEG for diagnostic reasons, we probed effective connectivity with single-pulse electrical stimulations (1ms, 3mA). For any given pair of iEEG contacts at shorter (<20mm) or longer (≥20mm) range, effective connectivity was expressed as a probability of observing a single-trial CCEP in one

Aims: Temporal lobe epilepsy is a neurological disorder characterised by the occurrence of spontaneous seizures. Current treatment methods consist of anti-epileptic drugs, resective surgery or neuromodulation each with significant risks and/or side-effects. Responsive neuromodulation could provide a solution by providing spatial and temporal specificity. In this study, we evaluated whether seizures could be detected with a self-designed embedded system and terminated through activation of the WiChR opsin in the intrahippocampal kainic acid mouse model of temporal lobe epilepsy.Methods: Mice we

…epilepsy patients undergoing stereo EEG surgery with depth electrode contacts implanted in various MLT regions. During continuous intracranial EEG recording, each participant was presented with a series of images of neutral objects. Across patients, we delivered a brief stimulation to the BLA (8 trains of 50-Hz pulses at 0.5 mA) before, during, or a

…recording devices synchronized with intracranial EEG recordings in epilepsy patients with an implanted deep brain recording system, we can study the neural basis of everyday human activities such as navigation and memory encoding in a more natural way that

Epileptic seizures are currently classified based on an operational system. A complementary approach is to characterise their electrographic signature exploiting concepts from dynamical system theory. A taxonomy of sixteen classes, the dynamotypes, can be obtained by considering the bifurcations pairs allowing for the transitions between healthy and ictal state and viceversa [1]. Expanding upon this groundwork, our study aimed to validate and refine this taxonomy [2]. Our analysis was guided by insights gleaned from studying a minimal bursting model that captures different dynamotypes in a sin

We present a 3D multi-shank linear electrode array for semichronic laminar neural recording in drug-resistant epilepsy patients. The 3D array comprises nine parallel shanks (3x3, lateral spacing: 1 mm) fixed on a 4.5x4.5 mm PEEK platform. An individual shank (185 μm OD) has a conical-shaped taper and contains 16 or 24 recording sites (15 μm OD microwires, Pt/Ir–90/10%; inter-site distances may vary between 50–200 μm). The microwires provide an uninterrupted connection between the recording sites and a PCB with Omnetics connectors for headstage input. The 3D array allows for easy and quick oper

…Using illustrative examples from intracranial EEG recordings, disorders characterised by molecular disruption of a single neurotransmitter receptor type, to single-cell r

Flexibility in a dynamic and uncertain world is critical for individuals to survive and thrive. An appropriately flexible agent should know when to exploit a known resource or explore for a potentially better one. Previous research indicates that prefrontal brain regions including the orbitofrontal cortex (OFC) and medial prefrontal cortex (mPFC), as well as the anterior insula are critical for value computation and decision-making. However, how these brain regions encode and transfer computed values to resolve the exploration-exploitation dilemma still remains unknown. We studied human cogni

The development of circuit-based therapeutics to treat neurological and neuropsychiatric diseases require detailed localization and understanding of electrophysiological signals in the human brain. Electrodes can record and stimulate circuits in many ways, and we often rely on non-invasive imaging methods to predict the location to implant electrodes. However, electrophysiological and imaging signals measure the underlying tissue in a fundamentally different manner. To integrate multimodal data and benefit from these complementary measurements, I will describe an approach that considers how di

…drug-resistant epileptic patients with intracranial EEG. Based on our observations, we developed an analytical framework (named “local-global” framework) to statistically correlate the brain activity in every recorded gray-matter region with the widespread connecti

We learn different rules that can switch depending on context. When the rule depends on context, the context is important to learn to differentiate the rewarded choice in different contexts. While it has previously been shown that the reinstatement of context guides decisions for reward, it is less clear how or whether context-based reactivation guides the efficient learning of reward and context associations. We hypothesize that representations of the context are used to guide learning of associations between context and reward. We test whether this context is retrieved from memory circuits p