A5050932653- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Cerebrovascular and Carotid Artery Diseases
- Urinary Bladder and Prostate Research
- Pelvic floor disorders treatments
- MRI in cancer diagnosis
- Transcranial Magnetic Stimulation Studies
- Eating Disorders and Behaviors
- Dementia and Cognitive Impairment Research
- Cardiovascular Health and Disease Prevention
- Obsessive-Compulsive Spectrum Disorders
- Attention Deficit Hyperactivity Disorder
- Neural and Behavioral Psychology Studies
- Advanced Memory and Neural Computing
- Cerebrospinal fluid and hydrocephalus
- Diet and metabolism studies
- Neurological Disease Mechanisms and Treatments
- Urinary Tract Infections Management
- Medical Imaging Techniques and Applications
- Epilepsy research and treatment
- Psychosomatic Disorders and Their Treatments
- Mental Health Research Topics
University of Southern California
2017-2025
Cognitive Neuroimaging Lab
2025
Southern California University for Professional Studies
2024-2025
University of Bern
2008-2018
University of California, Los Angeles
2013-2016
Brain Mapping Foundation
2013-2015
University Hospital of Bern
2008-2012
University Hospital
2012
Universitäre Psychiatrische Dienste Bern
2010
Background fMRI Resting State Networks (RSNs) have gained importance in the present literature. Although their functional role is unquestioned and physiological origin nowadays widely accepted, little known about relationship to neuronal activity. The combined recording of EEG allows temporal correlation between fluctuations RSNs dynamics spectral amplitudes. So far, only relationships several frequency bands some could be demonstrated, but no study accounted for spatial distribution domain...
The human resting-state is characterized by spatially coherent brain activity at a low temporal frequency. default mode network (DMN), one of so-called networks, has been associated with cognitive processes that are directed toward the self, such as introspection and autobiographic memory. DMN's integrity appears to be crucial for mental health. For example, patients Alzheimer's disease or other psychiatric conditions show disruptions functional connectivity within regions DMN. However, in...
Recently, non-linear statistical measures such as multi-scale entropy (MSE) have been introduced indices of the complexity electrophysiology and fMRI time-series across multiple time scales. In this work, we investigated neurophysiological underpinnings signals their relations to functional connectivity (FC). MSE FC analyses were performed on simulated data using neural mass model based brain network with Brain Dynamics Toolbox, animal models concurrent recording in conjunction...
Tau pathology and vascular dysfunction are important contributors to Alzheimer's disease (AD), but vascular–tau associations their effects on cognition poorly understood. We investigated these in male female humans by conducting voxelwise comparisons between cerebral blood flow (CBF) tau positron emission tomography (PET) images independent discovery [cognitively normal (CN), 19; mild cognitive impairment (MCI) risk, 43; MCI, 6] replication (CN,73; 45; AD, 20) cohorts. In a subgroup, we...
Abstract Introduction To describe the protocol and findings of instrumental validation three imaging‐based biomarker kits selected by MarkVCID consortium: free water (FW) peak width skeletonized mean diffusivity (PSMD), both derived from diffusion tensor imaging (DTI), white matter hyperintensity (WMH) volume fluid attenuation inversion recovery T1‐weighted imaging. Methods The included inter‐rater reliability among participating sites, test–retest repeatability, inter‐scanner...
The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method was proposed to evaluate glymphatic system (GS) function. However, few studies have validated its reliability and reproducibility. Fifty participants' DTI data from MarkVCID consortium were included in this study. Two pipelines by using DSI studio FSL software developed for processing ALPS index calculation. obtained average of bilateral used testing cross-vendor, inter-rater test-retest R software....
Visualization of human brain activity is crucial for understanding normal and aberrant function. Currently available neural recording methods are highly invasive, have low sensitivity, cannot be conducted outside an operating room. Functional ultrasound imaging (fUSI) emerging technique that offers sensitive, large-scale, high-resolution imaging; however, fUSI performed through the adult skull. Here, we used a polymeric skull replacement material to create acoustic window compatible with...
Attention deficit hyperactivity disorder (ADHD) has been characterized by impairments among distributed functional brain networks, e.g., the frontoparietal network (FPN), default mode (DMN), reward and motivation-related circuits (RMN), salience (SAL). In current study, we evaluated complexity connectivity (FC) of resting state fMRI (rsfMRI) in pre-adolescents with behavioral symptoms ADHD, for pathology-relevant networks. We leveraged data from Adolescent Brain Cognitive Development (ABCD)...
Small cerebral blood vessels are largely inaccessible to existing clinical in vivo imaging technologies. This study aims present a novel analysis pipeline for vessel density mapping of small from high-resolution 3D black-blood MRI at 3T. Twenty-eight subjects (10 under 35 years old, 18 over 60 old) were imaged with the T1-weighted turbo spin-echo variable flip angles (T1w TSE-VFA) sequence optimized iso-0.5mm spatial resolution (interpolated 0.51×0.51×0.64 mm3) Hessian-based segmentation...
The cerebral network that is active during rest and deactivated goal-oriented activity called the default mode (DMN). It appears to be involved in self-referential mental activity. Atypical functional connectivity DMN has been observed schizophrenia. One hypothesis suggests pathologically increased schizophrenia linked with a main symptom of psychosis, namely, misattribution thoughts. A resting-state pseudocontinuous arterial spin labeling (ASL) study was conducted measure absolute blood...
Abstract Background Neuroimaging studies can shed light on the neurobiological underpinnings of autism spectrum disorders ( ASD ). Studies resting brain have shown both altered baseline metabolism from PET / SPECT and functional connectivity FC ) intrinsic networks based resting‐state fMRI . To date, however, no study has investigated these two physiological parameters function jointly, or explored relationship between measures symptom severity. Methods Here, we used pseudo‐continuous...
Electroencephalography (EEG)-based brain–computer interfaces (BCIs) for motor rehabilitation aim to “close the loop” between attempted commands and sensory feedback by providing supplemental information when individuals successfully achieve specific brain patterns. Existing EEG-based BCIs use various displays provide feedback, ranging from considered more immersive (e.g., head-mounted display virtual reality (HMD-VR)) less computer screens). However, it is not clear whether improve...
Background: Dynamic contrast-enhanced (DCE) MRI using intravenous injection of gadolinium-based contrast agents (GBCAs) is commonly used for imaging blood-brain barrier (BBB) permeability. Water an alternative endogenous tracer with limited exchange rate across the BBB. A direct comparison between BBB water and permeability to GBCA missing. The purpose this study was directly compare (Ktrans k Gad = Ktrans/Vp) (kw) in a cohort elderly subjects at risk cerebral small vessel disease (cSVD)....
Abstract Magnetic resonance imaging (MRI) captures the dynamics of brain development with multiple modalities that quantify both structure and function. These measurements may yield valuable insights into neural patterns mark healthy maturation or identify early risk for psychiatric disorder. The Pediatric Template Brain Perfusion (PTBP) is a free public neuroimaging resource will help accelerate understanding childhood as seen through lens modality in relation to cognitive environmental...
Abstract Transcranial direct current stimulation (tDCS) is an emerging non-invasive neuromodulation technique that applies mA currents at the scalp to modulate cortical excitability. Here, we present a novel magnetic resonance imaging (MRI) technique, which detects fields induced by tDCS currents. This based on Ampere’s law and exploits linear relationship between fields. Following validation phantom with known path of electric field, proposed MRI was applied human limb (to demonstrate...