Is There A Connection Between Sleep And Depression?

Introduction

Is your sleep routine off? Are you sleeping less than normal? Are you depressed? Are you wondering if there is a connection between your irregular sleep pattern and your depressed mood? Well, keep reading this article because the answer is yes. There indeed is a relationship between sleep and depression. According to the National Sleep Foundation (2016), “The relationship between sleep and depressive illness is complex – depression may cause sleep problems and sleep problems may cause or contribute to depressive disorders. For some people, symptoms of depression occur before the onset of sleep problems. For others, sleep problems appear first. Sleep problems and depression may also share risk factors and biological features and the two conditions may respond to some of the same treatment strategies. Sleep problems are also associated with more severe depressive illness.” For the purposes of this article, we will focus on how irregular sleeping patterns result in the development of a depressive mood.

There Is a Relationship Between Insomnia And Depression

According to http://healthysleep.med.harvard.edu/need-sleep/whats-in-it-for-you/mood, “Chronic insomnia may increase the risk of developing a mood disorder, such as depression.” Think about it. If you are tired and have not gotten a good night sleep, you are going to have a lack of energy in your daily routine. This, in return, is going to impact your mood. You are going to feel depressed. This is supported by evidence. According to http://healthysleep.med.harvard.edu/need-sleep/whats-in-it-for-you/mood, “In one major study of 10,000 adults, people with insomnia were five times more likely to develop depression.” In addition, http://healthysleep.med.harvard.edu/need-sleep/whats-in-it-for-you/mood indicates that “Difficulty sleeping is sometimes the first symptom of depression. Studies have found that 15 to 20 percent of people diagnosed with insomnia will develop major depression.”

What Can Be Done?

You may be wondering if you are depressed, how can you improve your sleep? Well the answer is quite simple. Set a regular sleep routine. Have a set time for going to sleep and a set time for waking up in the morning. On an even further note, do not even think about hitting the snooze button. Just don’t hit it. You will feel better when you don’t touch it. Trust me on this one.

Conclusion

Despite the relationship between sleep and and a depressed mood, you can still feel better about yourself and lead a healthy lifestyle. Just start by adjusting your sleep routine. You will see the difference in how you feel in no time.

Source:

http://blogs.psychcentral.com/coping-depression/2016/02/is-there-a-connection-between-sleep-and-depression/

Tourette Syndrome Treatment in Malaysia - EEG biofeedback/Neurofeedback

Gilles de la Tourette syndrome (TS) is characterized by motor and vocal tic manifestations, often accompanied by behavioral, cognitive and affective dysfunctions. 

Electroencephalography of patients with TS has revealed reduced Sensorimotor Rhythm (SMR) and excessive fronto-central Theta activity, that presumably underlie motor and cognitive disturbances in TS. 

Some evidence exists that EEG biofeedback or neurofeedback (NFB) training aimed at enhancing SMR amplitude is effective for reducing tics. The present report is an uncontrolled single case study where a NFB training protocol, involving combined SMR uptraining/Theta downtraining was delivered to a 17-year-old male with TS. 

After sixteen SMR-Theta sessions, six additional sessions were administered with SMR uptraining alone. SMR increase was better obtained when SMR uptraining was administered alone, whereas Theta decrease was observed after both trainings.

The patient showed a reduction of tics and affective symptoms, and improvement of cognitive performance after both trainings. 

Overall, these findings suggest that Theta decrease might account for some clinical effects seen in conjunction with SMR uptraining. Future studies should clarify the feasibility of NFB protocols for patients with TS beyond SMR uptraining alone.



Source:
https://www.researchgate.net/publication/51641932_Neurofeedback_Training_for_Tourette_Syndrome_An_Uncontrolled_Single_Case_Study

First neural evidence for the unconscious thought process

Hemingway (1964/2010) describes a process that people who engage in creative pursuits from time to time recognize. While you are engaged in one thing—say a conversation with friends—consciously, something that you had been working on beforehand is still simmering unconsciously. At times the simmering is quite vigorous, and the repeating conscious intrusions can make it difficult to fully concentrate on your current activity—talking to your friends.

The idea of that incubation or unconscious thought can aid creativity or problem solving is old (Schopenhauer, 1851), and 10 years ago, we started to link the process of unconsious thought to decision making in a series of experiments (Dijksterhuis, 2004; Dijksterhuis and Nordgren, 2006;Dijksterhuis et al., 2006). The idea was based on two considerations. The first was that it is quite a small step from problem solving to decision making and the second was that the process of unconscious thought as described in the first paragraph can often be sensed, introspectively, when one is in the process of making an important decision such as buying a house or choosing between one’s job and a job offer for a new one.

In our initial experiments, we gave participants the task to choose between four alternatives (houses, cars, roommates, etc.) on the basis of a number of aspects (often 12 per alternative). Participants either decided immediately after reading the decision information, or after a period of conscious thought, or after a period of distraction during which unconscious thought was assumed to take place. In our early experiments, unconscious thinkers made better decisions than participants in the other two conditions. We initially called this the deliberation without attention effect; however, now we prefer the term unconscious thought effect (UTE).

These initial findings led a number of colleagues to also investigate the relation between unconscious thought and decision making and, looking back now at 10 years of unconscious thought research, the research seems to have revolved around two questions. The first is whether unconscious thought indeed leads to better decisions that conscious thought or no thought, the second is whether unconscious thought really exists in the first place (and if so, what exactly is it)? The contribution by Creswell et al. (2013) constitutes a major step towards answering the second question, so I focus briefly on the first before devoting the remainder of this introduction to the second and to the work by Creswellet al.

Does unconscious thought lead to better decisions? As such things tend to go, 10 years of research has led to a rather predictable answer: Probably, but only under some circumstances. The paradigm we developed turned out to be much more fragile than we had hoped, and although the UTE has been replicated independently in well over dozen laboratories, at least equally often people did not obtain any evidence for improved decision making after unconscious thought. Some individual papers, as well as a recent meta-analysis (Strick et al., 2011), identified a number of moderators. It seems that unconsious thought is beneficial when decisions are based on a lot rather than on little information, when the decision information is presented blocked by decision alternative rather than completely randomized, when the distraction task is not too cognitively taxing, and when the decision information contains visual stimuli in addition to verbal stimuli. It is encouranging for proponents of the work on unconscious thought that unconscious thoughts seem to be more fruitful when the experimental set-up becomes more ecologically valid.

That being said, some people have argued that unconscious thought does not really exist in the first place. People may make better decisions after being distracted, but that does not yet mean that any decision related mental activity took place while they were distracted. Some have proposed, for instance, that participants in unconscious thought conditions form an impression of the decision alternatives online—that is, while they read the decision information—and later simply retrieve this information. These participants may perform better than conscious thinkers, because under some circumstances, conscious thought can actually hamper decision making. Although it is indeed very likely that a reasonable proportion of participants in some unconscious thought experiments indeed merely retrieved online impression (which, by the way, can be prevented by presenting the stimulus materials rapidly), this cannot explain why unconscious thinkers also often outperform immediate decision makers (Strick et al., 2010), something that has been curiously overlooked when this alternative explanation was first published. However, there is also evidence that people who are not given the goal to make a decision before they are distracted make worse decisions than people who do have the goal (Bos et al., 2008), and this rules out this alternative explanation even more effectively. Unconscious thought is a goal-directed unconscious process, and merely distracting people does not do anything.

The experiment by Creswell et al.—in which they provide the first neural evidence for the UTE—also provides strong evidence for the unconscious thought process. They indeed found that unconscious thinkers made better decisions than conscious thinkers and than immediate decision makers. More importantly, they compared neural activity among people who were thinking unconsciously while they were engaged in a distraction task with the neural activity of people doing this same distraction task without engaging in unconscious thought. They found evidence forreactivation. The same regions that were active while people encoded the decision information—the right dorsolateral prefrontal cortex and left intermediate visual cortex—were active during unconscious thought. Moreover, the degree of neural reactivation differed between participants and was predictive of the quality of the decision after unconscious thought.

This is a breakthrough in unconscious thought research, and, quite appropriately in a celebratory sort of way, published almost exactly 10 years after the first experiments with the unconscious thought paradigm. Again, Creswell et al. provide the first neural evidence, and thereby—in my view at least—unambiguous evidence for the unconscious thought process. Finally, they also provide insight into the characteristics of the unconscious thought process.

Althought some aspects of the unconscious thought process can be carefully deduced from moderators, direct process-oriented evidence is scarce. Unconscious thought leads the representations of the decision alternatives in memory to become better organized and more polarized (Dijksterhuis, 2004; Bos et al., 2011) and interestingly, a recent paper shows that unconscious thinkers rely more on gist memory than on verbatim memory (Abadie et al., in press) thereby also integrating fuzzy-trace theory (e.g. Reyna and Brainerd, 1995) and unconscious thought theory. The reactivation account by Creswell et al. is fully in line with these earier findings, as earlier work on reactivation has repeatedly found (for references see the article by Creswell et al.) that reactivation improves memory and learning processes.

The work by Creswell and colleagues constitues a vital step forwards. The combined evidence now suggests that unconscious thought is a goal-directed process of neural reactivation during which memory representations of—in this case decision alternatives—change.

• © The Author (2013). Published by Oxford University Press. For Permissions, please email: [email protected]

Source: http://scan.oxfordjournals.org/content/8/8/845.full