Lies and liars

My most popular blog post during the past three years has been about lying. I wondered why there was so much interest in that subject. Upon reflection, I have concluded that our preoccupation with lying stems from our inability to access factual information and sift through the vast piles of alternative facts. We are increasingly faced with mass communication that is filled with lies, counter lies and even more lies. So I guess my readers would like to know more about lying… assuming I tell them the truth.

In 1984, in my job as Chief Scientist for President Reagan’s Star Wars program, I learned about the evolution of misinformation. I continually faced the dilemma of representing a program that lacked a fact-based and timely technical foundation, but I advertised it realistically as a research program to uncover the facts. Congress, of course, was not so happy to fund an enigma that Reagan said was a sure thing. Meanwhile, I expressed a desire to answer the myriad serious questions provided that we received the $25 billion we said we needed. I estimated that it would be at least five years before we could say whether or not Reagan’s promises to protect all of us were true. Reagan really hated both nuclear weapons and the Soviet Union’s communism based government, and his logic was to somehow eliminate both of those things.

I have learned that at first most public officials in the world of politics, science, technology and medicine capture the trust of their political allies. Their claims are thought to be truths. Then their political detractors accuse them of telling outright lies, followed by denials and more accusations. Even the widely respected Dr. Fauci has now been accused of lying about wearing masks and recently about funding the Wuhan lab and has had to defend his case.

What I found then and over the years was that the true believers were not interested in considering any facts. I eventually learned that the Soviet military industrial complex was selling their own SDI, and Gorbachev had no choice but to go along with their ill-fated attempt to launch their own SDI killing Death Star called Polyus.  Their chief engineer and program leader believed their space-based laser could dominate space. The United States’ advocate of space control, Edward Teller, made similar claims about his pet project, the X-ray laser. Secretary of State George Shultz and Reagan’s White House scientific adviser had serious doubts. Were both the U.S. and Soviet leaders lying to their citizens?

Today, the most widely accused purveyor of doubtful claims is Donald Trump, but many believe Trump’s statements and claims. A majority of Republicans believe Trump really won the election but widespread voter fraud stole the election from him. His lawyer, Rudy Giuliani, was apparently sincere in repeating Trump’s claims but he was disbarred from practicing law because the court said he was “knowingly making false statements.” A lawyer is not supposed to defend their client by misrepresenting the facts. Even as a technical adviser to the SDI program, I was warned by the legal staff at the SDI to never ever, ever lie to Congress under any circumstances, but also to not volunteer too much of the truth. My approach was to provide extensive technical information that the questioners would find confusing and dull.

When it comes to lying, it is also possible that the communicator actually may believe his claims are true. This may be the case with Giuliani. A person is not lying if that person believes their own claims. If the claim is a blatant factual falsehood and the audience is predisposed to believe it, then it will be repeated and embellished and become an even more outrageous lie that the true believers will repeat and often even invent nonexistent evidence to support the lie.

If the believer observes only the sources of information that are biased in one direction, then it is likely that the lie will get reinforced with no opportunity to consider contrary points of view. Once believers share the lie widely they will have their own self-images and reputations at stake and will ever more forcefully defend the lie, so that even doubters start to believe the blatant lie. The doubter can easily begin to wonder, “Well, maybe there could be something to this story after all, and maybe I was wrong to doubt the storyteller.” The key to convincing the doubters is to repeat the lie over and over again, and it seems that with enough repetition, the lie can become a belief.

My clarinet teacher once told me that the brain can be trained with enough repetition, and the only way to ever learn chromatic scales was to practice over and over again. She said this so often, I believed her, and accepted that it was only my lack of discipline that kept me from becoming the next Benny Goodman. So it seems that through forceful repetition, my brain was trained.

Big lies repeated frequently with no contradictory information have become widely accepted. This is damaging to our democracy—a form of government that demands free speech and informed decision making by an educated and intelligent population. Many of us make decisions without investigating the “rest of the story” as Paul Harvey, the radio commentator, used to say. The solution to this problem is to consider alternate points of view. Watch and read a variety of news sources from different perspectives. Give equal time to both CNN and Fox News. My wife argues that I do not practice what I am now preaching, and it will be really difficult, but I will try. Thomas Jefferson wrote that  a well-informed citizenry is a prerequisite to democracy. So, if you are worried about liars, lies and the people who believe them, stay informed, use your critical thinking skills and help expose falsehoods before they become accepted as facts.

Schools need multi-layer COVID defense

In my April blog post, I suggested a multi-layer defense against the COVID-19 pandemic that is plaguing the world, and since then, the response has been inadequate. That is, except for the miraculous development of vaccines, which should hopefully in the near term greatly improve our survival and return our normal lives if used as the first layer of defense.

As the second layer, I proposed an approach that involved a virus detection breath analyzer at the portal to a virus free facility.  The device would instantly detect a potential spreader of the disease, prevent the entry and preserve the safety of the occupants. I am not aware of any progress toward such a sensor, but I am optimistic that such a sensor will eventually be developed. Nevertheless, we have learned that such viruses mutate and others will appear and I suggest we will need to develop and deploy methods to protect all indoor facilities in the future, and the most immediate need is to open our schools.

We all want the kids to be able to go back to school, interact with their class mates and their  teachers, but instead they are sitting at home staring at a computer, which is admittedly likely to be increasingly the route to education. Nevertheless, in-person learning will still be necessary for at least part of all  educational experiences. We are told by the epidemiologists that the primary problem with indoor education is the danger of becoming infected by sharing  other  people’s air. In my April post on multi layer virus defense, the last defense layer for schools has to be virus free air in the class room. A major modification of the ventilation in schools including HEPA filters would certainly help, but that might be impractical or  prohibitively expensive particularly in older construction. So a reasonable near term approach would be the use in each class room of a portable air purifier using a HEPA filter that includes a sensitive and specific sensor to detect a virus in the intake air flow. The sensor could set off an alarm when detecting a virus and would require putting on masks and evacuating the room.

Several months ago, I suggested, based on published  reviews of virus detectors,  a real time bio/optical virus sensor that would be both specific and sensitive, and I am sure that many researchers are pursuing this approach as well as many other virus detectors.  Even with successful near term development of vaccines, and eventually portal monitors, schools will still need air purifiers and virus warning systems, as common as today’s smoke detectors and fire suppression systems in all clas rooms. In my opinion, the system engineering, manufacturing and deployment of smart air purifiers in classrooms should be given the highest  priority.

Electrical Brain Stimulation to Treat Neurological Disorders in

In The following is an article I wrote about my theories regarding electrical brain stimulation, which I believe may provide a useful treatment for the COVID symptom known as brain fog.

Abstract
Neurological disorders with symptoms such as chronic pain, depression, and insomnia are widespread. Very weak electric fields applied through the skull can enhance or diminish neural activity and modulate brain waves in order to treat many of these common medical problems. This approach is to be contrasted with well-established pharmacological methods or more recent invasive electrical deep brain stimulation (DBS) techniques that require surgery to insert electrodes deep into the brain. We claim that non invasive brain stimulation (NIBS) will provide new treatment methods with much greater simplicity, lower cost, improved safety and in some cases, possibly greater effectiveness.

Methods of stimulating the brain are based on emerging electro-technologies
such as transcranial DC/AC electric fields and pulsed magnetic fields. The application of functional and time-dependent brain imaging methods can be used to locate relevant brain regions, and determine the most appropriate stimulation method.  The application of tailored and individualized control can be combined with other therapy methods to effectively treat neurological disorders while minimizing or even eliminating the use of pharmaceuticals.

This emerging use of NIBS is a branch of a new multidisciplinary field that we
coined Neurosystems Engineering (Yonas and Jung 2008). This field involves
neuroscientists, psychologists, and electrical engineers. This emerging field
relies on existing standards for the safe implementation of these novel treatment modalities (Wassermann 1998). We must emphasize, however, that the characteristics of intensity, frequency spectrum, electrode configuration, duration, and repetition of treatment are being actively studied through empirical methods. We anticipate that the application of modeling and simulation of these methods for specific problems will result in more effective treatment methods and matured standards of care. Nevertheless, this emerging medical application of electrotechnology has shown the potential to have an enduring impact on society.

Introduction
We are entering a new era of neurological modification through direct communication with the brain via electrical stimulation. This era follows closely the “pharmacological” era in which modification of brain functioning was achieved through tinkering with various neurochemicals, most notably dopamine and serotonin. This tinkering led to profound changes in the ways in which both mental illness (e.g., schizophrenia) and neurological disorders (e.g., Parkinson’s disease) were treated. Before 1950, most psychiatric patients were treated with institutionalization, lobotomy, or electroconvulsive therapy (ECT). With the advent of Thorazine around 1950, pharmacological control of psychosis was possible. Similarly, in 1950, levodopa was first demonstrated to reduce Parkinson symptoms in animals. Unfortunately, all of these chemical interactions with the brain have broad effects, and the possible harmful side effects often compete with the efficacy of treatment (Tschoner, Engl et al. 2007).

The brain communicates both chemically and electrically (Hausser, Spruston et al. 2000); however, recent advances within the neurosciences have led to a resurgence of interest in electrical stimulation to modulate brain functioning in health and disease (Fregni and Pascual-Leone 2007). The promise of electrical stimulation lies in more tailored intervention, applied to relatively discrete neuronal populations, over set time intervals. This promise has led to a dramatic increase in research, in the last two decades, across a wide range of psychiatric, neurological, and normal population cohorts (Figure 1). In contrast to early studies where mere application of electrical stimulation was found to be generally efficacious (see next section below), the advent of modern neuroimaging and neuroscience techniques have allowed researchers to delve into underlying mechanisms, allowing for increasing levels of “fine tuning” and engineering of current timing and spatial distribution as increasing knowledge is gained.

Figure 1. Number of electrical stimulation studies by year (tDCS, tACS, tRNS, TMS). (Acronyms defined later in the text.)

A Brief History
The idea of using electricity to treat various medical conditions dates back to 43 AD, when Scribonius Largus, described a detailed account of the use of the (electric) torpedo fish to treat gout and headache. Since that time, numerous scientists experimented with electrical stimulation in hopes of treating various maladies as well as attempting to bring people back from the dead. It was the invention of the battery that made DC stimulation possible.

The history of electrical stimulation as a method for investigating the functions of the nervous system began with the Italian scientist Luigi Galvani (1737-1798). He discovered in 1786 that nerves and muscles are electrically excitable. In a series of experiments that revolutionized neurophysiology, Galvani was able to elicit contractions in the muscles of frogs by stimulating them or their spinal nerves with brief jolts of electricity generated by static generators. It was only after scientists developed apparatuses to allow for a more controlled and accurate way of stimulating biological tissue that scientific progress became more rapid, and that systematic studies of nervous function became possible.

After Galvani’s results were confirmed, scientists became convinced that nerves and muscles were electrically excitable, and that they also generated a kind of electricity by themselves. This could be the basis for a new model of nervous activity. Thus, two questions became highly important at the time: i) are the spinal chord and brain substances also electrically excitable? ii) could the stimulation of different points in the brain generate different effects or in different parts of the body? The first scientist to test this hypothesis of differential stimulation, was Giovanni Aldini (1762-1834). He used the bodies of recently hanged prisoners to apply electrical currents and demonstrated movement and responses, but he was actually stimulating the muscles directly.

At this point in history, the idea to apply electrical stimulation directly to the exposed brain was the next logical step. The first to do this was Luigi Rolando (1773-1831). In 1809, Rolando carried out several experiments stimulating the surface of central nervous structures. Using a Voltaic pile and crude electrodes, he obtained limb movements, which became stronger in the vicinity of the cerebellum. He erroneously concluded that this structure was the brain’s “source of vital motor energy.”

Rolando was thus able to provide a satisfactory answer to the first question only, i.e., he proved that the central nervous system was indeed electrically excitable, and that Voltaic stimulation could be a valuable research tool for exploring brain functions. The answer to the second question would have to wait 40 years, until better stimulation techniques could be discovered, with finer control over duration, intensity, and area of stimulation.

These techniques were developed on the basis of the advance of knowledge about electromagnetism. Between 1845 and 1850, other electro-physiologists developed a great diversity of devices and techniques to carry out single or repetitive stimulations, with short pulses or trains, and a finer control over current intensity and duration. Repetitive trains of stimulation with a precise onset and offset were generated by rotary switches and mercury pool switches, or electromechanical metronomes. The stimulation of the surface of the cerebral cortex by using brain stimulation was used to investigate the motor cortex in animals by researchers such as Eduard Hitzig (1838-1907), Gustav Fritsch (1838-1927), David Ferrier (1842-1928) and Friedrich Goltz (1834-1902). The human cortex was also stimulated electrically by neurosurgeons and neurologists such as Robert Bartholow (1831-1904) and Fedor Krause (1857-1937). In the following century, the technique was improved by the invention of the stereotactic method by British neurosurgeon pioneer Victor Horsley (1857-1916), and by the development of chronic electrode implants by Swiss neurophysiologist Walter Rudolf Hess (1881-1973), José Delgado (1915-2011) and others, by using electrodes manufactured by straight insulated wire that could be inserted deep into the brain of freely-behaving animals, such as cats and monkeys. This approach was used by James Olds (1922-1976) and colleagues to discover brain stimulation reward and the pleasure center. Little real progress was made until the 1950’s with the use of noninvasive electrical stimulation by Russian scientists in research they called “Electrosleep” (Rosenthal and Wulfsohn 1970). Since then there has been a steady increase in global interest in the subject using transcanial magnetic stimulation (TMS) as well as transcranial DC and AC stimulation (tDCS and tACS).

Recently Emerging Methods
tDCS

Transcranial direct current stimulation (tDCS) is the application of weak electrical currents (1-2 milliAmp) and induced electric fields in the brain of order 1 Volt/m to modulate the activity of neurons in the brain (Nitsche et al. 2008). Several generations of neurophysiological experiments have shown that neurons respond to static (DC) electrical fields by altering their firing rates. Firing increases when the positive pole or electrode (anode) is located near the cell body or dendrites and decrease when the field is reversed (Wagner et al. 2007). However, when the electrodes are placed on the scalp, the current density produced in the brain is exceedingly small, changing membrane potentials only by a fraction of a milliVolt.

Much of the current is shunted through the skin and within the brain, through the cerebral fluid thus limiting the effect on neurons (Wagner et al. 2007). In the 1960s, a few reasonably well-controlled experiments suggested that electrodes placed on the forehead produced noticeable psychological changes that were dependent on the direction of the field. Priori et al. in 1998 provided the first demonstration that weak direct current delivered over the scalp can influence the excitability of the underlying cerebral cortex. In 2000, Nitsche and colleagues at the University of Göttingen expanded the findings of Priori et al. by demonstrating that anodal polarization of the motor cortex increased the motor response of transcranial magnetic stimulation of the same area even after the current offset; reduction of this response was observed with cathodal polarization. Moreover, these effects were reported to last for an appreciable amount of time after exposure. Investigators are currently testing the validity of these claims and the effects of tDCS on other brain areas and functions.

DC brain polarization is not “stimulation” in the same sense as the stimulation of the brain and nerves with conventional electrical techniques at much higher electric fields. It does not appear to cause nerve cell firing on its own and does not produce discrete effects such as the muscle twitches associated with classical stimulation. It is also important to distinguish it from electroconvulsive therapy, which is used to treat mental illnesses such as major depression by passing pulses of approximately 1 Amp and fields of 1000 Volt/m into the brain in order to provoke an epileptic seizure. One of the first clinical applications of tDCS was for treatment of hemiparesis (motor paralysis) following stroke. Currently tDCS is being studied for the treatment of a number of conditions including stroke, migraine (DaSilva et al. 2012), and major depression.

Figure 2 presents one manner in which tDCS can be applied to a subject and Figure 3 describes the modulatory effects of DC fields on neuronal firing. Depending on the polarity of the tDCS electric fields, neuronal firing can either be enhanced (anodal) or suppressed (cathodal).

Figure 2. Example of a commercial tDCS unit (http://www.neuroconn.de/dcstimulator_plus_en/).

Figure 3. The modulatory effects of DC fields on neurons. When aligned with the neuronal potentials, firing is enhanced (left); when opposed to the neuronal potentials, firing is suppressed (right). (Courtesy E.M. Wassermann.)

It is important that the tDCS device is current-controlled. What this means is that the device will adjust the voltage up and down as the resistance changes so that the current never changes. For instance, if the resistance of the circuit including the skin, the skull, the cerebral fluid, and the brain matter is 1000 Ohms, then a 1.0 Volt source will produce a current of 1 milliAmp and a small fraction of that will reach into specific areas of the brain.

In the first placebo-controlled study of stroke, anodal tDCS applied over the motor cortex resulted in improvement in the affected hand in every patient tested (about 12% improvement on average) (Hummel, Celnik et al. 2005). Subsequent studies found cathodal (but not anodal or sham) stimulation over the left frontotemporal region to improve naming of line drawings in a small (N = 8) group of patients with expressive language dysfunction due to stroke (Monti, Cogiamanian et al. 2008). Based on these clinical results, studies have been undertaken in healthy subjects, designed to improve associative verbal learning (Floel, Rosser et al. 2008) as well as motor skill (Boggio, Castro et al. 2006), and even memory formation (Reis,

Robertson et al. 2008). While anodal stimulation is most often used, more recent studies are focused on cathodal administration to dampen effects of hyperactive neuronal populations in epilepsy (targeting the epileptic focus) (Fregni, Thome Souza et al. 2006) and migraine (targeting the occipital cortex) (Chadaide, Arlt et al. 2007; Antal, Kriener et al. 2011). tDCS studies have accelerated in the last decade (Figure 4), with nearly 38% of the total studies (N=76) occurring in 2011 alone.

Studies are being undertaken to modulate the effects of tDCS with various drugs designed to either enhance or suppress the stimulation effects. For example, neuroplasticity after-effects appear to be N-Methyl-D-aspartic acid (NMDA) specific (Liebetanz, Nitsche et al. 2001) as opposed to acute effects (Nitsche, Seeber et al. 2005); therefore, application of tDCS in the presence of NMDA receptor (d cycloserine, amphetamine) and GABA (lorazepam) agonists have been found to facilitate the after-effects of tDCS application (Nitsche, Liebetanz et al. 2004). Targeted therapies wherein pharmacological and electrical stimulation are combined to achieve optimal dose-response relationships in diseases including pain management (Antal, Brepohl et al. 2008), epilepsy (Nitsche and Paulus 2009), and even Alzheimer’s disease (Ferrucci, Mameli et al. 2008; Freitas, Mondragon-Llorca et al. 2011) represent important and exciting areas of future development in brain stimulation.

Figure 4. Number of tDCS studies by year.

tACS
Relatively few studies of transcranial Alternating Current Stimulation (tACS) have been undertaken, a technique designed to change intrinsic cortical oscillations. The current can be applied to the earlobes or the sides of the head, known as cranial electrotherapy stimulation – CES (Zaghi et al. 2010). This technique opens up the possibility of actively synchronizing cortical rhythms through external means particularly when administered in the so-called “ripple” frequency range (between 100 and 250 Hz) associated with memory encoding (Moliadze, Antal et al. 2010). This technique must be used at relatively low frequencies or retinal flashes will be induced; moreover, at higher amplitudes, safety concerns – including seizures – remain. In spite of these very particular reservations, active synchronization of cortical oscillatory activity provides particularly enticing possibilities regarding very fine-tuned experiments involving stimulation, behavior modification, recording of neuronal activity, and alteration of stimulation in real time. Currently, the tACS method is primarily used to treat depression, anxiety, and other mood related disorders.

tRNS
The most recent player to the electrical stimulation field is transcranial Random Noise Stimulation (tRNS). This method, akin to adding “white noise” to ongoing neural activity, is thought to open ion channels at the neuron (Schoen and Fromherz 2008). In one of the first studies in normal human subjects, stimulation over the motor cortex (between 100 and 640 Hz for 10 minutes at 1.5 mAmp) was found to increase cortical excitability (Terney, Chaieb et al. 2008). These authors hypothesize that, like tACS, tRNS “can possibly interfere with ongoing oscillations and neuronal activity in the brain and thus result in a cortical excitability increase.” There are several potential advantages of tRNS over tDCS: 1) while tDCS can open ion channels once, tRNS can do so repeatedly through multiple ionic influxes; 2) tRNS works around problems associated with stimulation of different sides of a folded cortex which can lead to effects which cancel each other out; 3) tRNS does not create a “tingling” sensation, as does tDCS when applied; 4) safety concerns are minimized. A recent study found superior performance of high frequency (100 – 640 Hz) tRNS over tDCS (1.5 mAmp) in normal subjects on a perceptual learning task (Fertonani, Pirulli et al. 2011). A second study did not find improved performance of tRNS over tDCS in normal subjects on a working memory paradigm (Mulquiney, Hoy et al. 2011). Only a handful of studies have been undertaken with tRNS; however, this technique appears to combine the main benefits of both tDCS (e.g., ionic influx/neuronal excitation) and tACS (e.g., entrainment of oscillations) without many of the potential downsides (e.g., burning, retinal stimulation, possible seizures, etc.).

TMS
Transcranial magnetic stimulation (TMS) is a noninvasive method to excite neurons in the brain: weak electric currents are induced in the tissue by rapidly changing magnetic fields (electromagnetic induction) (Lefaucheur 2009). This way, brain activity can be triggered with minimal discomfort, and the functionality of the circuitry and connectivity of the brain can be studied. The principle of inductive brain stimulation with eddy currents has been noted since the 19th century. The first successful TMS study was performed in 1985 by Anthony Barker et al. in Sheffield, England. By stimulating different points of the cerebral cortex and recording responses, e.g., from muscles, one may obtain maps of functional brain areas. By measuring functional imaging (e.g. MRI) or EEG, information may be obtained about the cortex (its reaction to TMS) and about area-to-area connections.

Repetitive TMS stimulation is known as rTMS and can produce longer lasting changes. Numerous small-scale pilot studies have shown it could be a treatment tool for various neurological conditions (e.g. migraine, stroke, Parkinson’s disease, dystonia, tinnitus) and psychiatric conditions (e.g. major depression, auditory hallucinations). TMS is becoming more widely used for treating nonresponsive severe depression.

Figure 5 shows how the TMS coil produces that fields that noninvasively interact with the brain.  A TMS coil suspended over the brain. The time-changing magnetic field (red) induces the electric field and currents (green) in the brain. (Courtesy E.M. Wassermann.)

Applications
In the last 20 years, the use of noninvasive electrical brain stimulation (NIBS) has transitioned from the ad hoc use of a variety of techniques and methods to a more systems engineering approach to achieving desired methods to treat neurological disorders tailored to specific problems and individual characteristics (Priori 2003). We have described this approach to the combination of neuroscience, psychology, and electrical engineering as the new field of Neurosystems Engineering (Yonas and Jung 2008). We believe this new multidisciplinary engineering approach will have a profound and lasting impact on serious health problems. Our specific and original concept is a systematic combination of methods described in the last section, tACS, tRNS, and real time control to achieve major cognitive benefits. This is to be compared with prescriptive application of NIBS, or the use of pharmacological prescriptions that treat disease, but create undesirable outcomes: neither are individualized to the disorder or the individual except through a process of trial and error. We are proposing an approach based on treating specific problems from a Neurosystem Engineering point of view.

A Neurosystems Engineer approaches the solution to problems through first focusing on the specific problem, and then applying the scientific method of hypothesis, experimentation, data collection, and modification of the process and the hypothesis until a consistent explanation is achieved in order to solve the problem. We believe this approach resulted in our thinking about tailored contorol to focus the dose, duration, frequency spectrum, and electrode geometry to deal with the individual and the disorder. Individualized treatment approaches, using neuroimaging, are beginning to be used in the field of ECT (Ujkaj, Davidoff et al. 2012), and we believe that this approach can be applied more broadly and with a high degree of fidelity.

We propose to do more than merely stimulate the brain and observe and
diagnose the resulting change in behavior, but to measure the effect on brain function in real time by measuring the electrical signals from the brain (via EEG/MEG) and controlling the stimulation to achieve the desired change in the time dependent brain waves that we determine, through experimentation, are critical to diagnosis and treatment of the disorder. This point of view is very
different from the conventional view that brain disorders are neurochemical abnormalities that can be best treated by changing brain chemistry. It is reasonable that there will be neurochemical changes associated with the changes in brain wave characteristics, and these longer lasting neurochemical changes will be important to both measure and modulate as has been recently demonstrated with glutamate and GABA (Stagg, Best et al. 2009). This approach may augment or replace traditional pharmaceutical or prescriptive NIBS approaches, with application of feedback controlled NIBS achieve desired efficacy for disorders that are more prone to “treatment resistance” (e.g., insomnia, anxiety, depression).

For example, one common form of insomnia is caused by irregularities in the restorative slow wave portion of the sleep cycle characterized by powerful oscillations at less than 1 Hz (Bonnet 1986). Our Neurosystems Engineering approach would be to entrain that frequency through tACS in order to achieve restorative sleep (Zaehle et al. 2010). Similarly, the calm thinking achieved in a meditative state is characterized by 10 Hz oscillations and we would hypothesize that anxiety reduction could be achieved by inducing oscillations at that frequency.

An increasingly common disorder is depression, a disorder that been correlated with a lack of long term sustained oscillation at 5 Hz, (Linkenkaer-Hansen et al. 2005) as well as abnormally high levels of theta oscillations (Lewine 2012). We would hypothesize that application of that frequency over a controlled period would achieve an improvement in depression symptoms. In these three applications we have focused our attention on a specific portion of the brain wave temporal spectrum rather than focalization on a specific brain region. It may also be useful to use brain imaging, such as fMRI or MEG, to determine the primary brain region of interest and use finite element modeling to optimize the electrode configuration to achieve optimal results (Bullard, Browning et al. 2011; Clark, Coffman et al. 2012).

One serious argument against this NIBS approach to neurological treatment is that we are changing the frequency spectrum only temporarily, and long-term characteristics have not yet been resolved. We know that there are neurochemical effects that accompany the changing frequency spectrum (Clark, Coffman et al. 2011), and the result of the electrical and chemical change can lead to retained brain network changes, called plasticity, that result in a remembered functional process. We hypothesize that the electrical brain stimulation can train the brain to continue operating in the desired manner and that this memory effect is an adjunct of the individual motivation. We are proposing the use of electrical brain stimulation as a “brain builder” dependent on the motivation of the patient.

The stimulation input can be achieved through various means described above of introducing controlled electric fields in the brain. The least invasive approaches are through inductive coupling from a changing magnetic in a coil near the scalp, or through an applied electric field through conducting electrodes in contact with the scalp. Much more invasive stimulation has been achieved through electrodes surgically implanted in the brain (deep brain stimulation), although there are obvious reasons to focus on non-invasive methods that have been developed. They all stimulate neurons to become more or less active but they do not cause neuronal firing, since they operate at applied fields of 1-10 Volts/m, which are a factor of ten below the self firing from potential developed across the neuronal membranes within the brain. The electrical excitation approaches are typically applied with a current limiting circuit and a voltage of less than 10 Volts driving currents of roughly one milliAmp to the scalp with electrodes of a few cm2.

We propose to avoid the possibility of seizure in all of our approaches and do not consider ECT, which produces fields in the brain of 1000 Volts/m driven by an external source of hundreds of volts. We are not emphasizing the use of DC electric fields, which can either sensitize or desensitize (i.e., polarize) a portion of the brain but not entrain brain waves. Instead we believe that major advances in neurological treatment can be achieve through brain wave modulation through time dependent electric fields resulting in changes that are monitored in real time in order to modify the stimulation amplitude and frequency spectrum. Laboratory experiments have already shown brain wave entrainment in animal models and humans (Zaehle et al. 2010), and the ability to cause the brain circuits to synchronize to an applied frequency has been well established (Anastassiou et al. 2011 and references therein). Recent work with tRNS has shown the ability to modulate, directly, brain wave spatial synchronization, by applications of high frequency, to enhance synchronization throughout the brain (Fertonani, Pirulli et al. 2011). We hypothesize that a combination of tACS to achieve a modulation at a desired frequency and tRNS to enhance spatial synchronization will lead to improvements in efficacy and efficiency. We also believe that what is needed are applications of closed-loop feedback control to demonstrate the levels needed for individual treatment of specific disorders in specific patients. We believe that individual treatment for specific disorders will require tailored waveforms, dose, and stimulation configurations to achieve optimum results.

Conclusions
We believe that this Neurosystems Engineering approach will provide improved understanding of many neurological disorders and the ability to achieve real improvements in a nonpharmacological, painless, low cost, and practical approach that will have an enduring impact on society. Future advances in this electrotechnology must be achieved in coordination with the standards community.

canary wearing a face mask

Canary ROC curve and architecture

A ROC curve shows the relationship between a sensor’s sensitivity and specificity. If the sensor is sensitive but can’t discriminate a true positive signal from a false signal it is useless. That was the problem I have written about on the subject of mid course missile defense and the problem of discrimination of real targets from decoys. Since we could not find a practical approach to discrimination, we could not make mid course intercept work. We expected the interceptor missile would have a terrible ROC curve if the adversary deployed effective decoys.

Let’s say the problem is to deploy a sensor in a coal mine to protect the miners. Since a canary succumbs to CO before the miners are affected, the canary provides a useful warning. The ROC curve for the canary makes it an excellent sensor to detect a poisonous environment. We could instead find a particularly weak miner and use  the miner as a warning indicator, but waiting to see if miners show some symptoms would not be a reasonable approach. To improve the miner as a sensor, we could try to create a ROC curve for miners based on if they they have CO in their lungs, are pre symptomatic,  slightly sick with a fever,  or just becoming unconscious, but the canary is certainly the preferred approach.

So  would we  use coal miners as sensors and then shut down coal mines if miners die on the job? Instead we could ventilate the coal mines to avoid CO build up and still use the canary, or maybe install a more modern CO sensor and keep the coal mines operating. I admit  coal mines are going away, but the metaphor might be useful.

So I wondered, why we are using people as sensors for detecting virus containing aerosols that are inhaled? The ROC curve for the RNA sensor has not been published, but I suspect its performance depends on when the sample is collected relative to time of the exposure of the person, how well the swab is stuck up somebody’s nose,  and the sensitivity of the analysis. One article claimed the false negative rate was 25%, but no ROC curve was published. An additional sensor such as fever detection could result in excessive false positives. If just a fever detector is used there would be unacceptable false negatives.

If instead, if  we have a closed space, such as an assisted living center, a business, air plane, restaurant, movie theater  or factory,  it could be ventilated with filtered air, sterilized  and an aerosol analysis sensor such as  an optical bio sensor could be used as a detector.

The optical sensor might be extremely sensitive and specific to the virus molecule. Except it does not exist as yet, but it is not impossible….I guess since considerable research is under way.

People would enter the protected environment through a revolving door that has its own aerosol sensor to instantly detect if the person entering has contaminated breath or clothing, and if so, the person would be rejected. This suggestion would require a major architecture redesign approach involving reliance on this as yet unavailable canary.