Category: Neurofeedback

We know that neuroscience forms the groundwork for artificial neural networks and in other machine learning applications. Now, this fascinating field surrounding the structure and function of the nervous system and the human mind is playing an important role in improving these applications. Researchers have found out that psychoanalysis — the brainchild of Sigmund Freud — has the potential to bring a fresh face to neuroscience.

The Observable Overlap

If we compare neuroscience with psychoanalysis, certain aspects do match. To break it down, neuroscience deals with the connections or “dialogues” between the brain and the nervous system, while psychoanalysis deals with psychopathology through interactions between a patient and a psychoanalyst. Both fields intersect at the functional level. Instances like thoughts which stem from the nervous system, gaining knowledge through this as a consequence, perception with emotions, etc, share a mutual area when it comes to understanding these two fields.

The above view has garnered strong criticism among neuroscientists because there is no exact evidence establishing a relationship between the two. However, there is a slow uprising in the connection between psychoanalysis and neuroscience. In an article by science journalist Kat McGowan, she details how psychoanalysis could answer problems lingering in neuroscience.

Psychoanalysis has insightful, provocative theories about emotions, unconscious thoughts and the nature of the mind. Neurobiology has the ability to test these ideas with powerful tools and experimental rigour. Together, the two fields might finally answer the most elusive question of them all: How is it that dreams, fantasies, memories and feelings — the subjective self — emerge from a hunk of flesh?  

So, the brain structure is simply a hotbed of cognitive activities. Psychoanalysis specifically delves into this and can uncover more than what lies underneath the network of billions of neural connections.

Exploring The ‘Unconscious’

One of the key elements Freud’s psychoanalysis is the concept of the ‘unconscious state’. What started as a link to unearthing schizophrenia, is now the subject of many studies. In fact, most of them lean toward neuroscience rather than towards psychology, when it comes to deciphering this grey area.

The relationship between neural connections and psychological disorders can explain in detail about why the disorder prevails in the first place. By hinging on this fact, there could be a relation to discovering more on neurons, as these form the basis of subjects such as deep learning. As a matter of fact, one study that looked into the aspect of brain connectivity posits why neuroscience is following the path of psychoanalysis.

In recent years, there has been an increasing interest, in unconscious processes; neuroscientific studies have, in fact, tested subliminal perceptions, implicit cognition, emotion processing and interoceptive perceptions with empirical methods. Though many studies indicate that unconscious processes influence awareness, the cognitive view of the unconscious differs from the psychodynamic notion of the unconscious, which encompasses affect and motivation.

What the study brought out was how psychoanalysis and neuroscience can concur in their approach and lead to an improved scientific temperament.

The Key To Unraveling DL And ML

With psychoanalysis brought into neuroscience, it can answer the mystery behind areas such as machine learning or even deep learning. These areas extensively derive their working based on the human brain. To stress on this point, the key difference between these AI fields and psychoanalysis is the computational factor. While ML or DL is focusing on learning something new, it gradually will follow the footsteps of a computer. This ‘logical’ component misses the ‘biological’ component. Psychoanalysis is where it could help bridge this gap. After all, the essence of mind going into AI is the norm of ‘intelligence’.

As a matter of fact, challenges in these fields could be envisioned in a very different way if emotions and thoughts are brought into the picture. For example, a better model or algorithm could be designed as well as memory requirements are brought down drastically. We see enormous amounts of data going through ML/DL projects. The Freudian field may hold answers ML/DL in the future by evolving into something unknown or unexplored.

Source: https://www.analyticsindiamag.com/how-psychoanalysis-can-help-neuroscience-and-neural-networks/

The researchers used a new type of magnetic resonance imaging (MRI) to take brain scans of 16 high school players, ages 15 to 17, before and after a season of football. They found significant changes in the structure of the grey matter in the front and rear of the brain, where impacts are most likely to occur, as well as changes to structures deep inside the brain. All participants wore helmets, and none received head impacts severe enough to constitute a concussion.

The study, which is the cover story of the November issue of Neurobiology of Disease, is one of the first to look at how impact sports affect the brains of children at this critical age. This study was made available online in July 2018 ahead of final publication in print this month.

“It is becoming pretty clear that repetitive impacts to the head, even over a short period of time, can cause changes in the brain,” said study senior author Chunlei Liu, a professor of electrical engineering and computer sciences and a member of the Helen Wills Neuroscience Institute at UC Berkeley. “This is the period when the brain is still developing, when it is not mature yet, so there are many critical biological processes going on, and it is unknown how these changes that we observe can affect how the brain matures and develops.”

Concerning trends

One bonk to the head may be nothing to sweat over. But mounting evidence shows that repeated blows to the cranium—such as those racked up while playing sports like hockey or football, or through blast injuries in military combat—may lead to long-term cognitive decline and increased risk of neurological disorders, even when the blows do not cause concussion.

Over the past decade, researchers have found that an alarming number of retired soldiers and college and professional football players show signs of a newly identified neurodegenerative disease called chronic traumatic encephalopathy (CTE), which is characterized by a buildup of pathogenic tau protein in the brain. Though still not well understood, CTE is believed to cause mood disorders, cognitive decline and eventually motor impairment as a patient ages. Definitive diagnosis of CTE can only be made by examining the brain for tau protein during an autopsy.

These findings have raised concern over whether repeated hits to the head can cause brain damage in youth or high school players, and whether it is possible to detect these changes at an early age.

“There is a lot of emerging evidence that just playing impact sports actually changes the brain, and you can see these changes at the molecular level in the accumulations of different pathogenic proteins associated with neurodegenerative diseases like Parkinson’s and dementia,” Liu said. “We wanted to know when this actually happens—how early does this occur?”

A matter of grey and white

The brain is built of white matter, long neural wires that pass messages back and forth between different brain regions, and grey matter, tight nets of neurons that give the brain its characteristic wrinkles. Recent MRI studies have shown that playing a season or two of high school football can weaken white matter, which is mostly found nestled in the interior of the brain. Liu and his team wanted to know if repetitive blows to the head could also affect the brain’s gray matter.

“Grey matter in the cortex area is located on the outside of the brain, so we would expect this area to be more directly connected to the impact itself,” Liu said.

The researchers used a new type of MRI called diffusion kurtosis imaging to examine the intricate neural tangles that make up gray matter. They found that the organization of the gray matter in players’ brains changed after a season of football, and these changes correlated with the number and position of head impacts measured by accelerometers mounted inside players’ helmets.

The changes were concentrated in the front and rear of the cerebral cortex, which is responsible for higher-order functions like memory, attention and cognition, and in the centrally located thalamus and putamen, which relay sensory information and coordinate movement.

“Although our study did not look into the consequences of the observed changes, there is emerging evidence suggesting that such changes would be harmful over the long term,” Liu said.

Tests revealed that students’ cognitive function did not change over the course of the season, and it is yet unclear whether these changes in the brain are permanent, the researchers say.

“The brain microstructure of younger players is still rapidly developing, and that may counteract the alterations caused by repetitive head impacts,” said first author Nan-Ji Gong, a postdoctoral researcher in the Department of Electrical Engineering and Computer Sciences at UC Berkeley.

However, the researchers still urge caution—and frequent cognitive and brain monitoring—for youth and high schoolers engaged in impact sports.

“I think it would be reasonable to debate at what age it would be most critical for the brain to endure these sorts of consequences, especially given the popularity of youth football and other sports that cause impact to the brain,” Liu said.

Source: https://medicalxpress.com/news/2018-11-high-school-football-teenage-brain.html

A transparent set of electrodes enables researchers to simultaneously record electrical signals and visualize neurons in the brains of awake mice¹.

Syncing neuronal signals with videos of neurons helps researchers map those signals to particular sites in the brain. The technology could yield insights into how the brain works and what goes awry in conditions such as autism.

Two-photon calcium imaging and electroencephalography (EEG) are both popular tools for studying the brain, but combining them has proved challenging. In the former technique, researchers tag calcium ions with fluorescent proteins. When neurons fire, a microscope picks up the fluorescence as calcium ions rush into the cells. EEG requires inserting a recording electrode into the brain. However, the electrode blocks light in the area from reaching the microscope.

In the new study, researchers built electrodes that transmit light. They layered a metallic material into a flat plastic mold, roughly the size of a single neuron, that is studded with hundreds of plastic spheres. The material fills the space around the spheres, creating holes that allow light to pass through.

Read more: https://www.spectrumnews.org/news/toolbox/new-tool-provides-real-time-glimpse-brain-activity-mice/