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Journal of Physical Therapy Science logoLink to Journal of Physical Therapy Science
. 2016 Oct 28;28(10):2938–2941. doi: 10.1589/jpts.28.2938

Effects of neurofeedback training on the brain wave of adults with forward head posture

Hyun-Ju Oh 1, Gui-Bin Song 2,*
PMCID: PMC5088157  PMID: 27821966

Abstract

[Purpose] The purpose of the present study was to examine the effects of neurofeedback training on electroencephalogram changes in the cervical spine in adults with forward head posture through x-ray. [Subjects and Methods] The subjects of the study were 40 college students with forward head posture, randomly divided into a neurofeedback training group (NFTG, n=20) and a control group (CG, n=20). The neurofeedback training group performed six sessions of pottery and archery games, each for two minutes, three times per week for four weeks, while using the neurofeedback system. [Results] There were significant effects within and between groups in terms of the Delta wave, the Theta wave, the Alpha wave, the Beta wave, or the sensory motor rhythm. Especially, the Delta wave, Beta wave, and the sensory motor rhythm were showed significant effects between the groups. [Conclusion] It is thought that neurofeedback training, a training approach to self-regulate brain waves, enhances concentration and relaxation without stress, as well as an increase in attention, memory, and verbal cognitive performance. Therefore an effective intervention method to improve neck pain and daily activities.

Key words: Neurofeedback, Forward head posture, Brain wave

INTRODUCTION

Owing to the prevalence and popularity of computers, students and workers are increasingly experiencing musculoskeletal abnormalities in their neck and shoulders1). Using computers and smart phones for many hours, coupled with lack of exercise, may cause stiffness of the muscles in the neck and shoulders, inducing weakness in the soft tissues. Such postural and lifestyle habits lead to forward head posture (FHP), which can cause relative compensation such as increased lordosis in the junction of the skull and neck, and abnormal, consistent muscular contraction inducing changes in the craniocervical junction2). Attention is a basic cognitional function necessary for learning and information processing, and it serves as a basic ability essential for educational activity, information acquisition, and social adjustment3). Attention and memory are the most basic elements of human cognition; issues with either may affect the seamless acquisition of new information and consistent performance in learning and tasks4). Posture affects people in terms of psychological, physical, structural, and functional changes. Specifically, bad posture is thought to increase the possibility of a decline in learning efficiency, attention, and memory. The collum and the brain, in particular, are closely situated in terms of anatomical structures. According to previous research, FHP may induce a reduction in proprioceptive sensibility, in addition to interference between the nerves and the muscles. These problems may, in turn, affect an individual’s mind and emotions5). Neuro-feedback (NFB) is a type of brain training—based on biofeedback—in which brainwaves are induced and feedback of the induction is provided so that users can control their own brainwaves. It has been researched in various fields, including brain activation training for the elderly and training for sports requiring concentration, such as golf, archery, and shooting6). Learning processes, thought, and activity are controlled by cerebral functions, which depend on the activities of many cranial nerves. These activities can be identified with the help of electroencephalogram (EEG). When compared to other neuroimaging techniques for research, the EEG is a short-term, noninvasive method that directly shows changes in cerebral function. From a cost perspective, it has the advantage of being able to provide various useful data based on a short-term test.

In this study, a neuro-feedback training program to a study sample with unstable postures and identified the influence of neuro-feedback training program on the subjects by means of an EEG, on the assumption that the FHP was due to malalignment of the cervical joints and was possibly affecting the subjects’ attention.

SUBJECTS AND METHODS

The subjects of this study were students from a university located in Gyeongsangbuk-do, South Korea, whose cervical lordosis angle was 21° or less7), whose anterior weight bearing (AWB) of the head was 15 mm or more8), and whose cervical extension range of motion (ROM) was 70° or less. They understood the purpose and method of the study, and voluntarily provided consent before the experiment. Those who were periodically undergoing treatment or taking drugs for pain reduction, and those with neurological problems were excluded from the experiment. Table 1 shows the general characteristics of the subjects. All patients understood the purpose of this study and provided written informed consent prior to participation in accordance with the ethical standards of the Declaration of Helsinki.

Table 1. General characteristics of each group (Mean ± SD).

NFTG (n=20) CG (n=19)
Male/Female 9/11 9/10
Age (years) 20.9 ± 3.3 22.8 ± 4.4
Height (cm) 168.5 ± 9.2 167.6 ± 8.7
Body weight (kg) 59.3 ± 11.5 59.5 ± 11.4

NFTG: neurofeedback training group; CG: control group

The subjects were randomly divided into a neuro-feedback group and a control group, and underwent a radiographic check and a nondestructive inspection (NDI). After a four-week application of intervention three times per week for each group, the subjects underwent another radiographic check and NDI. Neuro-feedback training was applied to the neuro-feedback group using the Neuro-Feedback System (Braintech Corp., Korea) developed by the Korean Research Institute of Jungshin Science. The training was performed in a place where light and noise were blocked. After taking a rest for ten minutes, each subject wore a headband in such a way that the FPz, as the center electrode, adhered to the middle of the forehead above the prefrontal region, and the reference electrode adhered to the left earlobe. As a training exercise for improving attention, the subjects performed a cup-making game and a mind arrow game. In the cup-making game, the subject had to collect glass pieces to make a cup; the more cups made, the higher the score. When the brainwaves were stable enough to satisfy the training conditions, a signal sound indicated that a cup was complete. If the brainwaves were unstable, the program stopped. The game was performed six times for two minutes each time. The mind arrow was a game of archery using brainwaves. When the brainwaves of the subject satisfied the training conditions and a signal sound was made, the subject could shoot an arrow with the aim of hitting the target in the center. Fifteen arrows could be shot for two minutes, and the total score indicated the results of the brainwave training after six sessions, each lasting twelve minutes.

Radiographic inspection was conducted to identify the following: the absolute rotation angle (ARA)9) for measuring lordosis of the neck; anterior weight bearing (AWB)10) to investigate forward head posture; and range of flexion and extension motions(PFEM)11) to identify the angle of flexion and extension. In general, it is the brainwaves of the frontal lobe that are used for recording purposes. In this study, we measured the Delta (δ) wave, the Theta (θ) wave, the Beta (β) wave, and the sensory motor rhythm (SMR) for recording purposes. We followed the international 0–20 system to locate scalp electrodes for the brainwave recording. When the total ratio is determined as 50, the ratio of the electrodes is 20:20:10 between the parietal region and the nasion in a forward direction, between the parietal region and the inion in a rearward direction, and between the parietal region and the upper point of both auricles laterally12).

SPSS 14.0 for Windows was used to statistically process the data in this study. An independent t-test was performed for pretest-posttest within-group comparison and for pretest-posttest difference comparison between the groups. For level of statistical significance, p=0.05.

RESULTS

As seen in Table 2, the neuro-feedback group showed significant differences in the δ wave, the θ wave, the α wave, the β wave, and the SMR (p<0.05) in the pretest-posttest within-group comparison, while the control group showed no significant difference in the δ wave, the θ wave, the α wave, the β wave, or the SMR in the comparison (p>0.05). As for the pretest-posttest difference comparison between groups, significant differences were found in the δ wave, the β wave, and the SMR (p<0.05) (Table 2).

Table 2. Comparison of the change of brain wave between the neurofeedback training group and the control group (mean ± SD).

NFTG CG


Pre-test Post-test Pre-test Post-test
DEF 17.3 ± 0.5 14.9 ± 3.6*a 17.2 ± 0.7 17.1 ± 3.7
TEF 29.5 ± 0.2 27.8 ± 3.5* 29.4 ± 0.7 28.6 ± 3.7
ALF 33.0 ± 0.4 36.0 ± 7.3* 33.2 ± 0.7 35.7 ± 6.8
BEF 20.2 ± 0.4 27.3 ± 8.2*a 20.2 ± 0.4 21.3 ± 2.3
SMRF 2.5 ± 0.1 11.2 ± 7.2*a 2.5 ± 0.1 4.7 ± 0.2

*Significant difference from the pre-test at<0.05. aSignificant difference in gains between the two groups. p<0.05. NFTG: neurofeedback training group; CG: control group; DEF: delta frontal; TEF: theta frontal; ALF: alpha frontal; BEF: beta frontal; SMRF: sensory motor rhythm frontal

DISCUSSION

Jang13) reported that neuro-feedback training using brainwaves may generate positive brainwaves due to the force of one’s will to feedback one’s own physical reactions with a view to modifying behavior. Brainwave examination by EGG is a noninvasive method that displays functional changes in the cerebrum and provides various useful data within a short time14). A β wave faster than 13 Hz is activated when a normal person is excited or concentrates on a certain task, and this is usually displayed in the frontal and parietal regions. The SMR becomes predominant when a person pays attention to a relatively simple task, while the activities of the sensory motor cortex are minimized without physical movement. The α wave is a basic brainwave reflecting the stability of the brain, and it can be observed when the balance of brain activities is focused or attention is needed. Conversely, the β wave is prominent when a person is experiencing worry or anxiousness. The δ wave is induced, not in a conscious state but in an unconscious state, and it is associated with intuition. As seen in a patient with a head injury, the δ wave in an arousal state slows down data processing in the brain to interrupt conscious activities15). Penistone15) reports that regular relaxation or meditation training may reduce the low frequency potential and increase the activation potential of the α wave to induce a stable mentality.

In this study, the neuro-feedback training group showed significant increases in the δ wave, the θ wave, the α wave, the β wave, and the SMR after the intervention, while the control group showed no significant increase. As for the pretest-posttest difference comparison between the groups, significant differences were observed in the δ wave, the β wave, and the SMR. After the intervention, the neuro-feedback training group showed significant changes in the α wave and the δ wave, indicating that their attention was enhanced because the brainwaves were stabilized by the brain training. The results of this study were supported by Penistone15) in research reporting that regular relaxation or meditation training increases the activation potential of the α wave to induce a stable state of the brain. The θ wave and the β wave also showed significant changes in the neuro-feedback training group, results that were similar to those of Lee16) who reported a reduced θ wave in the frontal lobe and the parietal lobe after training, and those of Seo and Park17), in which cognitive anxiety declined and attention increased in normal people when training to maximum performance competency. Such changes may be common characteristics of brainwave types inducing increased mental attention. In the performance of a task, the θ wave and the β wave tended to be reduced, indicating an increase in attention and favorable achievement14). Sterman18) reports that the SMR is closely related to attention and indicates that an increase in the SMR may induce changes to a state of attention. The results of this study are similar to those of Sterman. In this context, neuro-feedback training may be helpful in stress relaxation, enhancement of attention, and a more stable, efficient state of brain functions that will optimize brain performance.

In this study, brainwave changes by means of neuro-feedback training in adults with forward head posture (FHP). After the neuro-feedback training, the subjects showed significant increases in the δ wave, the θ wave, the α wave, the β wave, and the SMR. FHP induces muscular tension and malalignment of the cervical structures, causing stress and a decline in attention due to transformation of the body structure. Our assumption was that after the neuro-feedback training, the subjects with FHP might experience a stable mentality and relaxation without stress, as well as an increase in attention, memory, and verbal cognitive performance. We sought to verify these assumptions based on changes in their brainwaves during the training. Although direct effects on attention were not measured in this study, it might be said that the training positively affected attention. Consistent studies may be needed in the future to identify various methods for measuring brainwaves in many parts of the brains of patients with different disorders.

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