A framework for designing data-driven optimization systems for neural modulation.

Abstract:

OBJECTIVE:Neural modulation is a fundamental tool for understanding and treating neurological and psychiatric diseases. However, due to the high-dimensional space, subject-specific responses, and variability within each subject, it is a major challenge to select the stimulation parameters that have the desired effect. Data-driven optimization provides a range of different algorithms and tools for addressing this challenge, but each of these algorithms has specific strengths and limitations, and therefore must be carefully designed for a given neural modulation problem. Here we present a powerful and unifying framework for designing data-driven optimization algorithms for neural modulation. APPROACH:We develop this framework using an optogenetic medial septum stimulation model, where the goal is to find the stimulation parameters that modulate hippocampal gamma power to a desired value. This framework proceeds in three steps: 1) collecting stimulation data to create high-throughput simulation models, 2) prototyping a range of different data-driven optimization algorithms and evaluating their performance, and 3) deploying the best performing algorithm in vivo. MAIN RESULTS:Following this framework, we prototype and design an algorithm specifically for finding the medial septum optogenetic stimulation parameters that maximize hippocampal gamma power. Building on this, we then change our objective function to find the stimulation parameters that modulate gamma to a specific setpoint, use the framework to understand and anticipate the results before deploying in vivo. SIGNIFICANCE:We show that this framework can be used to design effective optimization solutions for specific neural modulation problems, and can be applied well beyond the optogenetic medial septum stimulation model.

journal_name

J Neural Eng

authors

Connolly MJ,Park SE,Laxpati NG,Zaidi SA,Ghetiya M,Fernandez A,Gutekunst CA,Gross RE

doi

10.1088/1741-2552/abd048

subject

Has Abstract

pub_date

2020-12-03 00:00:00

eissn

1741-2560

issn

1741-2552

pub_type

杂志文章
  • Open Ephys electroencephalography (Open Ephys  +  EEG): a modular, low-cost, open-source solution to human neural recording.

    abstract:OBJECTIVE:Electroencephalography (EEG) offers a unique opportunity to study human neural activity non-invasively with millisecond resolution using minimal equipment in or outside of a lab setting. EEG can be combined with a number of techniques for closed-loop experiments, where external devices are driven by specific ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aa651f

    authors: Black C,Voigts J,Agrawal U,Ladow M,Santoyo J,Moore C,Jones S

    更新日期:2017-06-01 00:00:00

  • Corrosion of silicon integrated circuits and lifetime predictions in implantable electronic devices.

    abstract::Corrosion is a prime concern for active implantable devices. In this paper we review the principles underlying the concepts of hermetic packages and encapsulation, used to protect implanted electronics, some of which remain widely overlooked. We discuss how technological advances have created a need to update the way ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章,评审

    doi:10.1088/1741-2560/10/3/031002

    authors: Vanhoestenberghe A,Donaldson N

    更新日期:2013-06-01 00:00:00

  • In vivo two-photon microscopy reveals immediate microglial reaction to implantation of microelectrode through extension of processes.

    abstract:OBJECTIVE:Penetrating cortical neural probe technologies allow investigators to record electrical signals in the brain. Implantation of probes results in acute tissue damage, and microglia density increases around implanted devices over weeks. However, the mechanisms underlying this encapsulation are not well understoo...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/9/6/066001

    authors: Kozai TD,Vazquez AL,Weaver CL,Kim SG,Cui XT

    更新日期:2012-12-01 00:00:00

  • The noise and impedance of microelectrodes.

    abstract:OBJECTIVE:While the positive correlation between impedance and noise of microelectrodes is well known, their quantitative relationship is too rarely described. Knowledge of this relationship provides useful information for both microsystems engineers and electrophysiologists. APPROACH:We discuss the physical basis of ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/abb3b4

    authors: Mierzejewski M,Steins H,Kshirsagar P,Jones PD

    更新日期:2020-10-15 00:00:00

  • Multi-class EEG classification of voluntary hand movement directions.

    abstract:OBJECTIVE:Studies have shown that low frequency components of brain recordings provide information on voluntary hand movement directions. However, non-invasive techniques face more challenges compared to invasive techniques. APPROACH:This study presents a novel signal processing technique to extract features from non-...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/10/5/056018

    authors: Robinson N,Guan C,Vinod AP,Ang KK,Tee KP

    更新日期:2013-10-01 00:00:00

  • Performance predictors of brain-computer interfaces in patients with amyotrophic lateral sclerosis.

    abstract:OBJECTIVE:Patients with amyotrophic lateral sclerosis (ALS) may benefit from brain-computer interfaces (BCI), but the utility of such devices likely will have to account for the functional, cognitive, and behavioral heterogeneity of this neurodegenerative disorder. APPROACH:In this study, a heterogeneous group of pati...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/13/2/026002

    authors: Geronimo A,Simmons Z,Schiff SJ

    更新日期:2016-04-01 00:00:00

  • Data augmentation for self-paced motor imagery classification with C-LSTM.

    abstract:OBJECTIVE:Brain-computer interfaces (BCI) are becoming important tools for assistive technology, particularly through the use of motor imagery (MI) for aiding task completion. However, most existing methods of MI classification have been applied in a trial-wise fashion, with window sizes of approximately 2 s or more. A...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab57c0

    authors: Freer D,Yang GZ

    更新日期:2020-01-31 00:00:00

  • Analysis of spontaneous MEG activity in mild cognitive impairment and Alzheimer's disease using spectral entropies and statistical complexity measures.

    abstract::Alzheimer's disease (AD) is the most common cause of dementia. Over the last few years, a considerable effort has been devoted to exploring new biomarkers. Nevertheless, a better understanding of brain dynamics is still required to optimize therapeutic strategies. In this regard, the characterization of mild cognitive...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/9/3/036007

    authors: Bruña R,Poza J,Gómez C,García M,Fernández A,Hornero R

    更新日期:2012-06-01 00:00:00

  • Automated selection of brain regions for real-time fMRI brain-computer interfaces.

    abstract:OBJECTIVE:Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site expert supervision are required for ROI definition. To automate this step,...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/14/1/016004

    authors: Lührs M,Sorger B,Goebel R,Esposito F

    更新日期:2017-02-01 00:00:00

  • The impact of calcium current reversal on neurotransmitter release in the electrically stimulated retina.

    abstract:OBJECTIVE:In spite of intense theoretical and experimental investigations on electrical nerve stimulation, the influence of reversed ion currents on network activity during extracellular stimulation has not been investigated so far. APPROACH:Here, the impact of calcium current reversal on neurotransmitter release duri...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/13/4/046013

    authors: Werginz P,Rattay F

    更新日期:2016-08-01 00:00:00

  • Intraspinal stimulation with a silicon-based 3D chronic microelectrode array for bladder voiding in cats.

    abstract:OBJECTIVE:Bladder dysfunction is a significant and largely unaddressed problem for people living with spinal cord injury. Intermittent catheterization does not provide volitional control of micturition and has numerous side effects. Targeted electrical microstimulation of the spinal cord has been previously explored fo...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/abca13

    authors: Pikov V,McCreery DB,Han M

    更新日期:2020-11-12 00:00:00

  • The development of neural stimulators: a review of preclinical safety and efficacy studies.

    abstract:OBJECTIVE:Given the rapid expansion of the field of neural stimulation and the rigorous regulatory approval requirements required before these devices can be applied clinically, it is important that there is clarity around conducting preclinical safety and efficacy studies required for the development of this technolog...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aac43c

    authors: Shepherd RK,Villalobos J,Burns O,Nayagam DAX

    更新日期:2018-08-01 00:00:00

  • Scanning electron microscopy of chronically implanted intracortical microelectrode arrays in non-human primates.

    abstract:OBJECTIVE:Signal attenuation is a major problem facing intracortical sensors for chronic neuroprosthetic applications. Many studies suggest that failure is due to gliosis around the electrode tips, however, mechanical and material causes of failure are often overlooked. The purpose of this study was to investigate the ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/13/2/026003

    authors: Barrese JC,Aceros J,Donoghue JP

    更新日期:2016-04-01 00:00:00

  • Low-intensity pulsed ultrasound modulates multi-frequency band phase synchronization between LFPs and EMG in mice.

    abstract:OBJECTIVE:Low-intensity pulsed ultrasound stimulation (LIPUS) targeted to the mouse motor cortex can simultaneously induce local field potentials (LFPs) and electromyogram (EMG) responses. However, the functional coupling relationship between LFP and EMG signals has not been elucidated to date. This study aimed to inve...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab0879

    authors: Wang Y,Xie P,Zhou S,Wang X,Yuan Y

    更新日期:2019-04-01 00:00:00

  • Decoder calibration with ultra small current sample set for intracortical brain-machine interface.

    abstract:OBJECTIVE:Intracortical brain-machine interfaces (iBMIs) aim to restore efficient communication and movement ability for paralyzed patients. However, frequent recalibration is required for consistency and reliability, and every recalibration will require relatively large most current sample set. The aim in this study i...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaa8a4

    authors: Zhang P,Ma X,Chen L,Zhou J,Wang C,Li W,He J

    更新日期:2018-04-01 00:00:00

  • Natural language processing with dynamic classification improves P300 speller accuracy and bit rate.

    abstract::The P300 speller is an example of a brain-computer interface that can restore functionality to victims of neuromuscular disorders. Although the most common application of this system has been communicating language, the properties and constraints of the linguistic domain have not to date been exploited when decoding b...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/9/1/016004

    authors: Speier W,Arnold C,Lu J,Taira RK,Pouratian N

    更新日期:2012-02-01 00:00:00

  • The spatial and temporal characteristics of the apparent-diffusion-coefficient-dependent fMRI signal changes during visual stimulation.

    abstract::The blood oxygenation level dependent (BOLD) contrast has been commonly used to detect fMRI signal. The majority of the BOLD signals are believed to arise from the venous and capillary networks. However, only those from the capillaries are spatially close to the neuronal activities, while the signals from large veins ...

    journal_title:Journal of neural engineering

    pub_type: 临床试验,杂志文章

    doi:10.1088/1741-2560/1/1/005

    authors: Song AW,Gangstead SL

    更新日期:2004-03-01 00:00:00

  • Early seizure detection for closed loop direct neurostimulation devices in epilepsy.

    abstract::Current treatment concepts for epilepsy are based on continuous drug delivery or electrical stimulation to prevent the occurrence of seizures, exposing the brain and body to a mostly unneeded risk of adverse effects. To address the infrequent occurrence and short duration of epileptic seizures, intelligent implantable...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章,评审

    doi:10.1088/1741-2552/ab094a

    authors: Dümpelmann M

    更新日期:2019-08-01 00:00:00

  • Evoked haptic sensations in the hand via non-invasive proximal nerve stimulation.

    abstract:OBJECTIVE:Haptic perception of a prosthetic limb or hand is a crucial, but often unmet, need which impacts the utility of the prostheses. In this study, we seek to evaluate the feasibility of a non-invasive transcutaneous nerve stimulation method in generating haptic feedback in a transradial amputee subject as well as...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aabd5d

    authors: Shin H,Watkins Z,Huang HH,Zhu Y,Hu X

    更新日期:2018-08-01 00:00:00

  • Constant pressure fluid infusion into rat neocortex from implantable microfluidic devices.

    abstract::Implantable electrode arrays capable of recording and stimulating neural activity with high spatial and temporal resolution will provide a foundation for future brain computer interface technology. Currently, their clinical impact has been curtailed by a general lack of functional stability, which can be attributed to...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/5/4/003

    authors: Retterer ST,Smith KL,Bjornsson CS,Turner JN,Isaacson MS,Shain W

    更新日期:2008-12-01 00:00:00

  • Coarse behavioral context decoding.

    abstract:OBJECTIVE:Current brain-computer interface (BCI) studies demonstrate the potential to decode neural signals obtained from structured and trial-based tasks to drive actuators with high performance within the context of these tasks. Ideally, to maximize utility, such systems will be applied to a wide range of behavioral ...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaee9c

    authors: Alasfour A,Gabriel P,Jiang X,Shamie I,Melloni L,Thesen T,Dugan P,Friedman D,Doyle W,Devinsky O,Gonda D,Sattar S,Wang S,Halgren E,Gilja V

    更新日期:2019-02-01 00:00:00

  • Extracellular voltage thresholds for maximizing information extraction in primate auditory cortex: implications for a brain computer interface.

    abstract:OBJECTIVE:Research by Oby et al (2016) demonstrated that the optimal threshold for extracting information from visual and motor cortices may differ from the optimal threshold for identifying single neurons via spike sorting methods. The optimal threshold for extracting information from auditory cortex has yet to be ide...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/ab7c19

    authors: Bigelow J,Malone B

    更新日期:2020-03-03 00:00:00

  • Intrinsic optical signal imaging of the blood volume changes is sufficient for mapping the resting state functional connectivity in the rodent cortex.

    abstract:OBJECTIVE:Resting state functional connectivity (RSFC) allows the study of functional organization in normal and diseased brain by measuring the spontaneous brain activity generated under resting conditions. Intrinsic optical signal imaging (IOSI) based on multiple illumination wavelengths has been used successfully to...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaafe4

    authors: Kura S,Xie H,Fu B,Ayata C,Boas DA,Sakadžić S

    更新日期:2018-06-01 00:00:00

  • Inhibition of neuronal cell-cell adhesion measured by the microscopic aggregation assay and impedance sensing.

    abstract::Microscopic aggregation assay and impedance sensing (IS) were used to monitor a change in in vitro neuron-neuron adhesion in response to blocking of cell adhesion molecules. By blocking neuron-neuron adhesion, migration and aggregation of neuronal cells can be inhibited. This leads to better control of spatial arrange...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/7/5/056003

    authors: Wiertz RW,Marani E,Rutten WL

    更新日期:2010-10-01 00:00:00

  • Neural correlates of speech quality dimensions analyzed using electroencephalography (EEG).

    abstract:OBJECTIVE:By means of subjective psychophysical methods, quality of transmitted speech has been decomposed into three perceptual dimensions named 'discontinuity' (F), 'noisiness' (N) and 'coloration' (C). Previous studies using electroencephalography (EEG) already reported effects of perceived intensity of single quali...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aaf122

    authors: Uhrig S,Mittag G,Möller S,Voigt-Antons JN

    更新日期:2019-06-01 00:00:00

  • HMM based automated wheelchair navigation using EOG traces in EEG.

    abstract::This paper presents a wheelchair navigation system based on a hidden Markov model (HMM), which we developed to assist those with restricted mobility. The semi-autonomous system is equipped with obstacle/collision avoidance sensors and it takes the electrooculography (EOG) signal traces from the user as commands to man...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/11/5/056018

    authors: Aziz F,Arof H,Mokhtar N,Mubin M

    更新日期:2014-10-01 00:00:00

  • Conditional firing probabilities in cultured neuronal networks: a stable underlying structure in widely varying spontaneous activity patterns.

    abstract::To properly observe induced connectivity changes after training sessions, one needs a network model that describes individual relationships in sufficient detail to enable observation of induced changes and yet reveals some kind of stability in these relationships. We analyzed spontaneous firing activity in dissociated...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2560/4/2/006

    authors: le Feber J,Rutten WL,Stegenga J,Wolters PS,Ramakers GJ,van Pelt J

    更新日期:2007-06-01 00:00:00

  • Symbolic time series analysis of fNIRS signals in brain development assessment.

    abstract:OBJECTIVE:Assessing an infant's brain development remains a challenge for neuroscientists and pediatricians despite great technological advances. As a non-invasive neuroimaging tool, functional near-infrared spectroscopy (fNIRS) has great advantages in monitoring an infant's brain activity. To explore the dynamic featu...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aae0c9

    authors: Liang Z,Minagawa Y,Yang HC,Tian H,Cheng L,Arimitsu T,Takahashi T,Tong Y

    更新日期:2018-12-01 00:00:00

  • Neuromusculoskeletal model self-calibration for on-line sequential bayesian moment estimation.

    abstract:OBJECTIVE:Neuromusculoskeletal models involve many subject-specific physiological parameters that need to be adjusted to adequately represent muscle properties. Traditionally, neuromusculoskeletal models have been calibrated with a forward-inverse dynamic optimization which is time-consuming and unfeasible for rehabili...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章

    doi:10.1088/1741-2552/aa58f5

    authors: Bueno DR,Montano L

    更新日期:2017-04-01 00:00:00

  • Integrated circuit amplifiers for multi-electrode intracortical recording.

    abstract::Significant progress has been made in systems that interpret the electrical signals of the brain in order to control an actuator. One version of these systems senses neuronal extracellular action potentials with an array of up to 100 miniature probes inserted into the cortex. The impedance of each probe is high, so en...

    journal_title:Journal of neural engineering

    pub_type: 杂志文章,评审

    doi:10.1088/1741-2560/6/1/012001

    authors: Jochum T,Denison T,Wolf P

    更新日期:2009-02-01 00:00:00