A multimodal Neuroimaging-Based risk score for mild cognitive impairment.

Introduction: Alzheimer's disease (AD), the most prevalent age-related dementia, leads to significant cognitive decline. While genetic risk factors and neuroimaging biomarkers have been extensively studied, establishing a neuroimaging-based metric to assess AD risk has received less attention. This study introduces the Brain-wide Risk Score (BRS), a novel approach using multimodal neuroimaging data to assess the risk of mild cognitive impairment (MCI), a precursor to AD.

Refining Brain Stimulation Therapies: An Active Learning Approach to Personalization.

Brain stimulation holds promise for treating brain disorders, but personalizing therapy remains challenging. Effective treatment requires establishing a functional link between stimulation parameters and brain response, yet traditional methods like random sampling (RS) are inefficient and costly. To overcome this, we developed an active learning (AL) framework that identifies optimal relationships between stimulation parameters and brain response with fewer experiments.

Refining Brain Stimulation Therapies: An Active Learning Approach to Personalization.

Brain stimulation holds promise for treating brain disorders, but personalizing therapy remains challenging. Effective treatment requires establishing a functional link between stimulation parameters and brain response, yet traditional methods like random sampling (RS) are inefficient and costly. To overcome this, we developed an active learning (AL) framework that identifies optimal relationships between stimulation parameters and brain response with fewer experiments.

Towards predicting PTSD symptom severity using portable EEG-derived biomarkers.

Posttraumatic Stress Disorder (PTSD) is a heterogeneous mental health disorder that occurs following traumatic experience. Understanding its neurobiological basis is crucial to advance early diagnosis and treatment. Electroencephalography (EEG) can be used to explore the neurobiological basis of PTSD.

Towards a multimodal neuroimaging-based risk score for mild cognitive impairment by combining clinical studies with a large (N>37000) population-based study.

Alzheimer's disease (AD) is the most common form of age-related dementia, leading to a decline in memory, reasoning, and social skills. While numerous studies have investigated the genetic risk factors associated with AD, less attention has been given to identifying a brain imaging-based measure of AD risk. This study introduces a novel approach to assess mild cognitive impairment MCI, as a stage before AD, risk using neuroimaging data, referred to as a brain-wide risk score (BRS), which incorporates multimodal brain imaging.

The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease.

Apolipoprotein E (APOE) polymorphic alleles are genetic factors associated with Alzheimer's disease (AD) risk. Although previous studies have explored the link between AD genetic risk and static functional network connectivity (sFNC), to the best of our knowledge, no previous studies have evaluated the association between dynamic FNC (dFNC) and AD genetic risk. Here, we examined the link between sFNC, dFNC, and AD genetic risk with a data-driven approach.

Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning.

Background: Direct electrical stimulation of the amygdala can enhance declarative memory for specific events. An unanswered question is what underlying neurophysiological changes are induced by amygdala stimulation.

Objective: To leverage interpretable machine learning to identify the neurophysiological processes underlying amygdala-mediated memory, and to develop more efficient neuromodulation technologies.

Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder.

Electroconvulsive therapy (ECT) is one of the most effective treatments for major depressive disorder. Recently, there has been increasing attention to evaluate the effect of ECT on resting-state functional magnetic resonance imaging (rs-fMRI). This study aims to compare rs-fMRI of depressive disorder (DEP) patients with healthy participants, investigate whether pre-ECT dynamic functional network connectivity network (dFNC) estimated from patients rs-fMRI is associated with an eventual ECT outcome, and explore the effect of ECT on brain network states.

App-based data collection, mental imagery, and naming performance in adults with aphasia.

Background And Purpose: Naming impairments are often found in aphasia. Combining mHealth technology with mental imagery may offer new insights into novel approaches to naming interventions in persons with aphasia. The aims of this study are to (1) explore whether mental imagery can improve performance during a naming task in adults with aphasia; and, (2) demonstrate the use of app-based data collection for research in aphasia rehabilitation through utilization of an app designed specifically for this study.

Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia.

Although visual processing impairments have been explored in schizophrenia (SZ), their underlying neurobiology of the visual processing impairments has not been widely studied. Also, while some research has hinted at differences in information transfer and flow in SZ, there are few investigations of the dynamics of functional connectivity within visual networks. In this study, we analyzed resting-state fMRI data of the visual sensory network (VSN) in 160 healthy control (HC) subjects and 151 SZ subjects.

Tongue-operated assistive technology with access to common smartphone applications via Bluetooth link.

Tongue Drive System (TDS) is a wireless and wearable assistive technology (AT) that enables people with severe disabilities to control their computers, wheelchairs, and electronic gadgets using their tongue motion. We developed the TDS to control smartphone's (iPhone/iPod Touch) built-in and downloadable apps with a customized Bluetooth mouse module by emulating finger taps on the touchscreen. The TDS-iPhone Bluetooth mouse interface was evaluated by four able-bodied subjects to complete a scenario consisting of seven tasks, which were randomly ordered by using touch on the iPhone screen with index finger, a computer mouse on iPhone, and TDS-iPhone Bluetooth mouse interface with tongue motion.

Development and preliminary evaluation of an intraoral Tongue Drive System.

Tongue Drive System (TDS) is a wireless tongue-operated assistive technology (AT), developed for people with severe physical impediments to control their environments using their tongue motion. We have developed a new intraoral TDS (iTDS) in a form of a dental retainer, which can tightly clasp onto the upper teeth, completely hidden inside the mouth, using commercial off-the-shelf components (COTS). The iTDS retainer was tested by two healthy subjects and their performance was compared with that of an external TDS (eTDS) implemented in the form of a headset.

A figure-of-merit for design of high performance inductive power transmission links for implantable microelectronic devices.

Wireless power transfer through inductive coupling is used in many applications such as high performance implantable microelectronic devices (IMDs). Power transfer efficiency (PTE) and power delivered to the load (PDL) are two conventional inductive link design merits that determine the energy source and driver specifications, heat dissipation, power transmission range, and risk of interference with other devices. Unfortunately designing the inductive link to achieve a high PTE will drastically reduce the PDL and vice versa.

Command detection and classification in tongue drive assistive technology.

Tongue Drive System (TDS) is a new assistive technology that enables individuals with severe disabilities such as those with spinal cord injury (SCI) to regain environmental control using their tongue motion. We have developed a new sensor signal processing (SSP) algorithm which uses four 3-axial magneto-resistive sensor outputs to accurately detect and classify between seven different user-control commands in stationary as well as mobile conditions. The new algorithm employs a two-stage classification method with a combination of 9 classifiers to discriminate between 4 commands on the left or right side of the oral cavity (one neutral command shared on both sides).

Using Fitts's law for evaluating Tongue Drive System as a pointing device for computer access.

In this paper, the results of a 2-D center-out task in a Fitts's law experiment have been presented for measuring the performance of the Tongue Drive System (TDS). Although the end-user population for TDS is individuals with tetraplegia, in this study, we recruited 6 able-bodied subjects in 3 sessions, conducted in 3 consecutive days. They performed the same task with their right hand using a standard mouse for achieving a baseline as well as a standard keypad with their right index finger.

Radiation characterization of an intra-oral wireless device at multiple ISM bands: 433 MHZ, 915 MHZ, and 2.42 GHz.

Intra-oral wireless devices are becoming more popular for physiological monitoring of the mouth environment and tongue-operated assistive technologies, such as the internal Tongue Drive System (iTDS). Here we present the experimental measurements and simulations of radiation performance of three commercial wireless transmitters operating at 433 MHz, 915 MHz, and 2.42 GHz, in the industrial-scientific-medical band when they were placed inside human mouth.

Wireless control of smartphones with tongue motion using tongue drive assistive technology.

Tongue Drive System (TDS) is a noninvasive, wireless and wearable assistive technology that helps people with severe disabilities control their environments using their tongue motion. TDS translates specific tongue gestures to commands by detecting a small permanent magnetic tracer on the users' tongue. We have linked the TDS to a smartphone (iPhone/iPod Touch) with a customized wireless module, added to the iPhone.

Evaluation of the tongue drive system by individuals with high-level spinal cord injury.

Tongue Drive System (TDS) is a tongue operated, unobtrusive, minimally invasive, wireless assistive technology (AT), which can enable people with severe disabilities to control different devices using their tongue motion. TDS can translate specific tongue movements into user-defined commands by detecting the position of a small permanent magnetic tracer attached to the users' tongue. We have built an external TDS (eTDS) prototype on a wireless headphone and interfaced it to a laptop and a commercial powered wheelchair (PWC).

Towards a magnetic localization system for 3-D tracking of tongue movements in speech-language therapy.

This paper presents a new magnetic localization system based on a compact triangular sensor setup and three different optimization algorithms, intended for tracking tongue motion in the 3-D oral space. A small permanent magnet, secured on the tongue by tissue adhesives, will be used as a tracer. The magnetic field variations due to tongue motion are detected by a 3-D magneto-inductive sensor array outside the mouth and wirelessly transmitted to a computer.

A closed loop wireless power transmission system using a commercial RFID transceiver for biomedical applications.

This paper presents a standalone closed loop wireless power transmission system that is built around a commercial off-the-shelf (COTS) radio frequency identification (RFID) transceiver (MLX90121) operating at 13.56 MHz. It can be used for inductively powering implantable biomedical devices in a closed loop fashion.

Wireless control of powered wheelchairs with tongue motion using tongue drive assistive technology.

Tongue Drive system (TDS) is a tongue-operated unobtrusive wireless assistive technology, which can potentially provide people with severe disabilities with effective computer access and environment control. It translates users' intentions into control commands by detecting and classifying their voluntary tongue motion utilizing a small permanent magnet, secured on the tongue, and an array of magnetic sensors mounted on a headset outside the mouth or an orthodontic brace inside. We have developed customized interface circuitry and implemented four control strategies to drive a powered wheelchair (PWC) using an external TDS prototype.