A5034920672- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Transcranial Magnetic Stimulation Studies
- Neural dynamics and brain function
- Optical Imaging and Spectroscopy Techniques
- Non-Invasive Vital Sign Monitoring
- Obsessive-Compulsive Spectrum Disorders
- Neurological disorders and treatments
- Face Recognition and Perception
- Parkinson's Disease Mechanisms and Treatments
- Reproductive Biology and Fertility
- Gut microbiota and health
- Stroke Rehabilitation and Recovery
- Advanced MRI Techniques and Applications
- Sperm and Testicular Function
- Motor Control and Adaptation
- Psychology of Moral and Emotional Judgment
- Urinary Tract Infections Management
- Pregnancy and preeclampsia studies
- Body Image and Dysmorphia Studies
- Reproductive System and Pregnancy
- Reproductive tract infections research
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Spam and Phishing Detection
Uttaranchal University
2025
Pontificia Universidad Católica de Chile
2015-2024
Cleveland Clinic
2018-2024
California University of Pennsylvania
2024
Brigham and Women's Hospital
2024
Hospital for Sick Children
2024
Rush University Medical Center
2024
Washington University in St. Louis
2024
Johns Hopkins University
2024
Graphic Era University
2023
Background. Two thirds of stroke survivors experience motor impairment resulting in long-term disability. The anatomical substrate is often the disruption cortico-subcortical pathways. It has been proposed that reestablishment communication relates to functional recovery. Objective. In this study, we applied a novel training protocol augment ipsilesional connectivity after stroke. Chronic patients with severe were provided online feedback blood-oxygenation level dependent signal between...
The learning process involved in achieving brain self-regulation is presumed to be related several factors, such as type of feedback, reward, mental imagery, duration training, among others. Explicitly instructing participants use imagery and monetary reward are common practices real-time fMRI (rtfMRI) neurofeedback (NF), under the assumption that they will enhance accelerate process. However, it still not clear what optimal strategy for improving volitional control. We investigated...
Background: Clinical trials of anti-Aβ monoclonal antibodies in Alzheimer disease (AD) infer target engagement from Aβ positron emission tomography (PET) and/or fluid biomarkers such as cerebrospinal (CSF) Aβ42/40.However, these measure deposits indirectly incompletely.In contrast, postmortem neuropathologic assessments allow direct investigation treatment effects on brain and many other pathologic features.Methods: From a clinical trial dominantly inherited AD, we measured...
Background. Thus far, most of the brain–computer interfaces (BCIs) developed for motor rehabilitation used electroencephalographic signals to drive prostheses that support upper limb movement. Only few BCIs hemodynamic or were designed control lower extremity prostheses. Recent technological developments indicate functional near-infrared spectroscopy (fNIRS)-BCI can be exploited in movement due its great usability and reduced sensitivity head motion artifacts. Objective. The aim this proof...
While earlier Brain-Computer Interface (BCI) studies have mostly focused on modulating specific brain regions or signals, new developments in pattern classification of states are enabling real-time decoding and modulation an entire functional network. The present study proposes a method for neurofeedback from electroencephalographic (EEG) signals. It involves the creation fused model based Common Spatial Patterns (CSPs) data several healthy individuals. subject-independent is then used to...
<h3>BACKGROUND AND PURPOSE:</h3> Deep brain stimulation is a well-established treatment for generalized dystonia, but outcomes remain variable. Establishment of an imaging marker to guide device targeting and programming could possibly impact the efficacy deep in particularly absence acute clinical markers indicate benefit. We hypothesize that stimulation-based functional structural connectivity using resting-state fMRI DTI can predict therapeutic patients with dystonia stimulation....
Obsessive-compulsive disorder (OCD) is a common and chronic condition that can have disabling effects throughout the patient's lifespan. Frequent symptoms among OCD patients include fear of contamination washing compulsions. Several studies shown link between fears, disgust over-reactivity, insula activation in OCD. In concordance with role processing, new neural models based on neuroimaging suggest abnormally high activations could be implicated psychopathology, at least subgroup fears...
There is a recent increase in the use of multivariate analysis and pattern classification prediction real-time feedback brain states from functional imaging signals mapping spatio-temporal patterns activity. Here we present MANAS, generalized software toolbox for performing online offline fMRI signals. MANAS has been developed using MATLAB, LIBSVM, SVMlight packages to achieve cross-platform environment. targeted neuroscience investigations rehabilitation applications, based on neurofeedback...
Recently, studies have reported the use of Near Infrared Spectroscopy (NIRS) for developing Brain–Computer Interface (BCI) by applying online pattern classification brain states from subject-specific fNIRS signals. The purpose present study was to develop and test a real-time method subject-independent multi-channel signals using support-vector machines (SVM), so as determine its feasibility an neurofeedback system. Towards this goal, we used left versus right hand movement execution imagery...
ABSTRACT Objectives The aim of this study is to identify anatomical regions related stimulation‐induced dyskinesia (SID) after pallidal deep brain stimulation (DBS) in Parkinson's disease (PD) patients and analyze connectivity associated with SID. Methods This retrospective analyzed the clinical imaging data PD who experienced SID during monopolar review DBS. We structural functional using normative volume tissue activated (VTA) modeling. Each contact was assigned either that producing (SID...
One of the most important and early impairments in autism spectrum disorder (ASD) is abnormal visual processing human faces. This deficit has been associated with hypoactivation fusiform face area (FFA), one main hubs face-processing network. Neurofeedback based on real-time fMRI (rtfMRI-NF) a technique that allows self-regulation circumscribed brain regions, leading to specific neural modulation behavioral changes. The aim present study was train participants ASD achieve up-regulation FFA...
It is hypothesized that a dysfunction of the supplementary motor area (SMA), secondary to deficit nigrostriatal dopamine system, partially contributes symptomatology Parkinson's disease (PD), i.e., akinesia. In this pilot study we investigated effect real-time fMRI neurofeedback based volitional up-regulation SMA on hand performance one PD patient and 3 healthy volunteers. The learned self-regulation was evaluated with speeded, bimanual, sequenced button-pressing trials, assessed immediately...
A brain-computer interface (BCI) based on near-infrared spectroscopy (NIRS) could act as a tool for rehabilitation of stroke patients due to the neural activity induced by motor imagery aided real-time feedback hemodynamic activation. When combined with functional electrical stimulation (FES) affected limb, BCI is expected have an even greater benefit contingency established between and afferent, haptic from stimulation. Yet, few studies explored such approach, presumably difficulty in...
It has been more than a decade since the first functional magnetic resonance imaging (fMRI)-based neurofeedback approach was successfully implemented. Since then, various studies have demonstrated that participants can learn to voluntarily control circumscribed brain region. Consequently, real-time fMRI (rtfMRI) provided novel opportunity study modifications of behavior due manipulation activity. Hence, reports rtfMRI applications train self-regulation activity and concomitant in behavioral...
Current medical care lacks an effective functional evaluation for the spinal cord. Magnetic resonance imaging and computed tomography mainly provide structural information of cord, while somatosensory evoked potentials are limited by a low signal to noise ratio. We developed non-invasive approach based on near-infrared spectroscopy in dual-wavelength (760 850 nm deoxy- or oxyhemoglobin respectively) record neurovascular response (NVR) peri-spinal vascular network at 7th cervical 10th...
Selective attention declines with age, due to age-related functional changes in dorsal anterior cingulate cortex (dACC). Real-time magnetic resonance imaging (rtfMRI) neurofeedback has been used young adults train volitional control of brain activity, including dACC.