Brain–computer interfaces (BCIs) enable users to control devices with electroencephalographic (EEG) activity from the scalp or single-neuron within brain. Both methods have disadvantages: EEG has limited resolution and requires extensive training, while recording entails significant clinical risks stability. We demonstrate here for first time that electrocorticographic (ECoG) recorded surface of brain can a one-dimensional computer cursor rapidly accurately. identified ECoG signals were...

In the first large study of its kind, we quantified changes in electrocorticographic signals associated with motor movement across 22 subjects subdural electrode arrays placed for identification seizure foci. Patients underwent a 5–7 d monitoring period array placement, before focus resection, and during this time they participated study. An interval-based motor-repetition task produced consistent quantifiable spectral shifts that were mapped on Talairach-standardized template cortex. Maps...

Signals from the brain could provide a non-muscular communication and control system, brain–computer interface (BCI), for people who are severely paralyzed. A common BCI research strategy begins by decoding kinematic parameters signals recorded during actual arm movement. It has been assumed that these can be derived accurately only intracortical microelectrodes, but long-term stability of such electrodes is uncertain. The present study disproves this widespread assumption showing in humans...

We show here that a brain–computer interface (BCI) using electrocorticographic activity (ECoG) and imagined or overt motor tasks enables humans to control computer cursor in two dimensions. Over brief training period of 12–36 min, each five human subjects acquired substantial particular ECoG features recorded from several locations over the same hemisphere, achieved average success rates 53–73% two-dimensional four-target center-out task which chance accuracy was 25%. Our results support...

Resting state functional connectivity is defined in terms of temporal correlations between physiologic signals, most commonly studied using magnetic resonance imaging. Major features correspond to structural (axonal) connectivity. However, this relation not one-to-one. Interhemispheric the corpus callosum presents a case point. Specifically, several reports have documented nearly intact interhemispheric individuals whom (the major commissure hemispheres) never develops. To investigate...

Abstract Surgical extent‐of‐resection has been shown to have an impact on high‐grade glioma ( HGG ) outcomes; however, complete resection is rarely achievable in difficult‐to‐access DTA tumors. Controlled thermal damage the tumor may same ‐ s. We report our multicenter results of laser interstitial therapy LITT retrospectively reviewed 34 consecutive patients (24 glioblastoma, 10 anaplastic) who underwent at Cleveland Clinic, Washington University, and Wake Forest University (May...

There are few effective therapies to achieve functional recovery from motor-related disabilities affecting the upper limb after stroke. This feasibility study tested whether a powered exoskeleton driven by brain-computer interface (BCI), using neural activity unaffected cortical hemisphere, could affect motor in chronic hemiparetic stroke survivors. novel system was designed and configured for home-based setting test of BCI-driven neurorehabilitation outpatient environments.Ten survivors...

Background Poor central nervous system penetration of cytotoxic drugs due to the blood brain barrier (BBB) is a major limiting factor in treatment tumors. Most recurrent glioblastomas (GBM) occur within peritumoral region. In this study, we describe hyperthemic method induce temporary disruption BBB that can potentially be used enhance drug delivery. Methods Twenty patients with probable GBM were enrolled study. Fourteen evaluable. MRI-guided laser interstitial thermal therapy was applied...

Laser Ablation After Stereotactic Radiosurgery (LAASR) is a multicenter prospective study of laser interstitial thermal (LITT) ablation in patients with radiographic progression after stereotactic radiosurgery for brain metastases.

Rapid deformation of brain matter caused by skull acceleration is most likely the cause concussion, as well more severe traumatic injury (TBI). The inability to measure directly has led disagreement and confusion about biomechanics concussion TBI. In present study, in human volunteers was measured during mild, but rapid, deceleration head (20–30 m/sec2 peak, ∼40 msec duration), using an imaging technique originally developed cardiac deformation. Magnetic resonance image sequences with...

Electrocorticography (ECoG) has been demonstrated to be an effective modality as a platform for brain-computer interfaces (BCIs). Through our experience with ten subjects, we further demonstrate evidence support the power and flexibility of this signal BCI usage. In subset four patients, closed-loop experiments were attempted patient receiving online feedback that consisted one-dimensional cursor movement controlled by ECoG features had shown correlation various real imagined motor speech...

Several stories in the popular media have speculated that it may be possible to infer from brain which word a person is speaking or even thinking. While recent studies demonstrated signals can give detailed information about actual and imagined actions, such as different types of limb movements spoken words, concrete experimental evidence for possibility 'read mind', i.e. interpret internally-generated speech, has been scarce. In this study, we found use recorded surface...

The goal of the study was to demonstrate a hierarchical structure resting state activity in healthy brain using data-driven clustering algorithm.The fuzzy-c-means algorithm applied fMRI data cortical and subcortical gray matter from two groups acquired separately, one 17 individuals second 21 individuals. Different numbers clusters different starting conditions were used. A cluster dispersion measure determined optimal clusters. An inner product metric provided similarity between result...

Abstract BACKGROUND: Surgical treatments for deep-seated intracranial lesions have been limited by morbidities associated with resection. Real-time magnetic resonance imaging–guided focused laser interstitial thermal therapy (LITT) offers a minimally invasive surgical treatment option such lesions. OBJECTIVE: To review and results of patients treated LITT at Washington University School Medicine. METHODS: In 17 prospectively recruited (34–78 years age; mean, 59 years), we report...

OBJECTIVE To describe initial experience with resting-state correlation mapping as a potential aid for presurgical planning of brain tumor resection. METHODS Resting-state blood oxygenation-dependent functional magnetic resonance imaging (fMRI) scans were acquired in 17 healthy young adults and 4 patients tumors invading sensorimotor cortex. Conventional fMRI motor (finger-tapping protocol) was also performed the patients. Intraoperatively, hand area mapped using cortical stimulation....

Electrocorticography (ECoG) has emerged as a new signal platform for brain-computer interface (BCI) systems. Classically, the cortical physiology that been commonly investigated and utilized device control in humans brain signals from sensorimotor cortex. Hence, it was unknown whether other neurophysiological substrates, such speech network, could be used to further improve on or complement existing motor-based paradigms. We demonstrate here first time ECoG associated with different overt...

Resting state functional MRI (R-fMRI) studies have shown that slow (<0.1Hz), intrinsic fluctuations of the blood oxygen level dependent (BOLD) signal are temporally correlated within hierarchically organized systems known as resting networks (RSNs) (Doucet et al., 2011). Most broadly, this hierarchy exhibits a dichotomy between two opposed (Fox 2005). One system engages with environment and includes visual, auditory, sensorimotor (SMN) well dorsal attention network (DAN), which controls...

Abstract BACKGROUND: Recent findings associated with resting-state cortical networks have provided insight into the brain's organizational structure. In addition to their neuroscientific implications, identified by functional magnetic resonance imaging (rs-fMRI) may prove useful for clinical brain mapping. OBJECTIVE: To demonstrate that a data-driven approach analyze (RSNs) is in identifying regions classically understood be eloquent cortex as well other networks. METHODS: This study...

Significance Reciprocal cortical–hippocampal signaling is widely believed to underlie consolidation of declarative memories. By investigating human fMRI and electrocorticography during both wake slow-wave sleep (SWS), we find, first, that δ-band activity infraslow propagate in opposite directions between the hippocampus cortex. Second, δ reverse propagation cortex across SWS. These results highlight reciprocal communication frequencies, constitute direct evidence for reversal dialogue