Abstract:
OBJECTIVE:Predicting how the brain can be driven to specific states by means of internal or external control requires a fundamental understanding of the relationship between neural connectivity and activity. Network control theory is a powerful tool from the physical and engineering sciences that can provide insights regarding that relationship; it formalizes the study of how the dynamics of a complex system can arise from its underlying structure of interconnected units. APPROACH:Given the recent use of network control theory in neuroscience, it is now timely to offer a practical guide to methodological considerations in the controllability of structural brain networks. Here we provide a systematic overview of the framework, examine the impact of modeling choices on frequently studied control metrics, and suggest potentially useful theoretical extensions. We ground our discussions, numerical demonstrations, and theoretical advances in a dataset of high-resolution diffusion imaging with 730 diffusion directions acquired over approximately 1 h of scanning from ten healthy young adults. MAIN RESULTS:Following a didactic introduction of the theory, we probe how a selection of modeling choices affects four common statistics: average controllability, modal controllability, minimum control energy, and optimal control energy. Next, we extend the current state-of-the-art in two ways: first, by developing an alternative measure of structural connectivity that accounts for radial propagation of activity through abutting tissue, and second, by defining a complementary metric quantifying the complexity of the energy landscape of a system. We close with specific modeling recommendations and a discussion of methodological constraints. SIGNIFICANCE:Our hope is that this accessible account will inspire the neuroimaging community to more fully exploit the potential of network control theory in tackling pressing questions in cognitive, developmental, and clinical neuroscience.
journal_name
J Neural Engjournal_title
Journal of neural engineeringauthors
Karrer TM,Kim JZ,Stiso J,Kahn AE,Pasqualetti F,Habel U,Bassett DSdoi
10.1088/1741-2552/ab6e8bsubject
Has Abstractpub_date
2020-04-09 00:00:00pages
026031issue
2eissn
1741-2560issn
1741-2552journal_volume
17pub_type
杂志文章abstract:OBJECTIVE:Analyzing and interpreting the activity of a heterogeneous population of neurons can be challenging, especially as the number of neurons, experimental trials, and experimental conditions increases. One approach is to extract a set of latent variables that succinctly captures the prominent co-fluctuation patte...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/10/6/066012
更新日期:2013-12-01 00:00:00
abstract:OBJECTIVE:Advances in electrode technology have facilitated the development of neuroprostheses for restoring motor/sensory function in disabled individuals. Information extracted from a whole nerve, recorded using cuffs, can provide signals that control the operation of neuroprostheses. However, the amount of informati...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab5551
更新日期:2020-01-28 00:00:00
abstract:OBJECTIVE:We have previously demonstrated a brain-machine interface neuroprosthetic system that provided continuous control of functional electrical stimulation (FES) and restoration of grasp in a primate model of spinal cord injury (SCI). Predicting intended EMG directly from cortical recordings provides a flexible hi...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/4/046009
更新日期:2016-08-01 00:00:00
abstract:OBJECTIVE:Real-time closed-loop neural feedback control requires the analysis of action potential traces within several milliseconds after they have been recorded from the brain. The current generation of spike clustering algorithms were mostly designed for off-line use and also require a significant amount of computat...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab208c
更新日期:2019-07-30 00:00:00
abstract:OBJECTIVE:Haptic feedback is crucial when we manipulate objects. Information pertaining to an object's stiffness in particular can help facilitate fine motor control. In this study, we seek to determine whether objects of different stiffness levels can be recognized using haptic feedback provided by transcutaneous elec...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab4d99
更新日期:2019-12-05 00:00:00
abstract::Retinal implants have proven their ability to restore visual sensation to people with degenerative retinopathy, characterized by photoreceptor cell death and the retina's inability to sense light. Retinal bionics operate by electrically stimulating the surviving neurons in the retina, thus triggering the transfer of v...
journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2552/aa6cbb
更新日期:2017-08-01 00:00:00
abstract:OBJECTIVE:High-rate pulse trains have proven to be effective in cochlear prosthetics and, more recently, have been shown to elicit a wide range of interesting response properties in axons of the peripheral nervous system. Surprisingly, the effectiveness of such trains for use in retinal prostheses has not been explored...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/10/3/036009
更新日期:2013-06-01 00:00:00
abstract:OBJECTIVE:Two-dimensional (2D) movement control is an important issue in brain-computer interfaces (BCIs) research because being able to move, for example, a cursor with the brain will enable patients with motor disabilities to control their environment. However, it is still a challenge to continuously control 2D movem...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/4/046021
更新日期:2015-08-01 00:00:00
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
更新日期:2020-01-31 00:00:00
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
更新日期:2012-02-01 00:00:00
abstract:OBJECTIVE:A signal-based metric for assessment of accuracy of motor unit (MU) identification from high-density surface electromyograms (EMG) is introduced. This metric, so-called pulse-to-noise-ratio (PNR), is computationally efficient, does not require any additional experimental costs and can be applied to every MU t...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/11/1/016008
更新日期:2014-02-01 00:00:00
abstract:OBJECTIVE:We presented a comparative study on the training methodologies of a convolutional neural network (CNN) for the detection of steady-state visually evoked potentials (SSVEP). Two training scenarios were also compared: user-independent (UI) training and user-dependent (UD) training. APPROACH:The CNN was trained...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab6a67
更新日期:2020-04-08 00:00:00
abstract::Spastic hypertonus (muscle over-activity due to exaggerated stretch reflexes) often develops in people with stroke, cerebral palsy, multiple sclerosis and spinal cord injury. Lesioning of nerves, e.g. with phenol or botulinum toxin is widely performed to reduce spastic hypertonus. We have explored the use of direct el...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/1/016005
更新日期:2011-02-01 00:00:00
abstract::Adaptive model theory (AMT) is a computational theory that addresses the difficult control problem posed by the musculoskeletal system in interaction with the environment. It proposes that the nervous system creates motor maps and task-dependent synergies to solve the problems of redundancy and limited central resourc...
journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2560/2/3/S10
更新日期:2005-09-01 00:00:00
abstract:OBJECTIVE:Filter bank canonical correlation analysis (FBCCA) is a widely-used classification approach implemented in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). However, conventional detection algorithms for SSVEP recognition problems, including the FBCCA, were usually based on ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab914e
更新日期:2020-05-07 00:00:00
abstract::We consider the problem of desynchronizing a network of synchronized, globally (all-to-all) coupled neurons using an input to a single neuron. This is done by applying the discrete time dynamic programming method to reduced phase models for neural populations. This technique numerically minimizes a certain cost functi...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/6/065008
更新日期:2011-12-01 00:00:00
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
更新日期:2019-08-01 00:00:00
abstract:OBJECTIVE:Electroencephalography (EEG) recorded during transcranial alternating current simulation (tACS) is highly desirable in order to investigate brain dynamics during stimulation, but is corrupted by large amplitude stimulation artefacts. Artefact removal algorithms have been presented previously, but with substan...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab58a3
更新日期:2020-01-24 00:00:00
abstract:OBJECTIVE:The human auditory system acquires environmental information under sound stimuli faster than visual or touch systems, which in turn, allows for faster human responses to such stimuli. It also complements senses such as sight, where direct line-of-view is necessary to identify objects, in the environment recog...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/1/016012
更新日期:2015-02-01 00:00:00
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. ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abd048
更新日期:2020-12-03 00:00:00
abstract:OBJECTIVE:Cochlear implants, while providing significant benefits to recipients, remain limited due to broad neural activation. Focussed multipolar stimulation (FMP) is an advanced stimulation strategy that uses multiple current sources to produce highly focussed patterns of neural excitation in order to overcome these...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aad0a5
更新日期:2018-10-01 00:00:00
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
更新日期:2004-03-01 00:00:00
abstract:OBJECTIVE:It is known that multi-site interleaved stimulation generates less muscle fatigue compared to single-site synchronous stimulation. However, in the limited number of studies in which intramuscular electrodes were used, the fatigue reduction associated with interleaved stimulation could not consistently be achi...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aba99e
更新日期:2020-08-25 00:00:00
abstract:OBJECTIVE:Despite their increasing use and public health importance, little is known about the consistency and variability of the quantitative features of baseline electroencephalography (EEG) measurements in healthy individuals and populations. This study aims to investigate population consistency of EEG features. AP...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab4af3
更新日期:2019-11-12 00:00:00
abstract::The aim of this study was to assess the accuracy of the convolution kernel compensation (CKC) method in decomposing high-density surface EMG (HDsEMG) signals from the pennate biceps femoris long-head muscle. Although the CKC method has already been thoroughly assessed in parallel-fibered muscles, there are several fac...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/6/066002
更新日期:2011-12-01 00:00:00
abstract:OBJECTIVE:Sleep spindles in the electroencephalogram (EEG) are significant in sleep analysis related to cognitive functions and neurological diseases, and thus are of great clinical interests. An automatic sleep spindle detection algorithm could help decrease the workload of visual inspection by sleep clinicians. APPR...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abd463
更新日期:2020-12-16 00:00:00
abstract:OBJECTIVE:The aim of this paper was to characterize brain non-stationarity during an auditory oddball task in schizophrenia (SCH). The level of non-stationarity was measured in the baseline and response windows of relevant tones in SCH patients and healthy controls. APPROACH:Event-related potentials were recorded from...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aa6e05
更新日期:2017-08-01 00:00:00
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
更新日期:2016-04-01 00:00:00
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
更新日期:2007-06-01 00:00:00
abstract:OBJECTIVE:Fractional calculus plays a key role in the analysis of neural dynamics. In particular, fractional calculus has been recently exploited for analyzing complex biological systems and capturing intrinsic phenomena. Also, artificial neural networks have been shown to have complex neuronal dynamics and characteris...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab8dd6
更新日期:2020-06-12 00:00:00