Wearable Sensing’s wireless DSI-24 is the leading dry electrode EEG system in terms of signal quality and comfort. The DSI-24 takes on average less than 3 minutes to set up, making it the ideal solution for scientists in need of a simple, easy to use, EEG system. Our patented sensor technology not only delivers uncompromised signal quality but also enables our system to be virtually immune against motion and electrical artifacts. As a result, the DSI-24 can be utilized in virtual or augmented reality, while also allowing researchers to take their experiments out of the lab, and into the real world.
The DSI-24 has sensors that provide full head coverage with 19 electrodes on the head, 2 earclip sensors, and also has 3 built-in auxiliary inputs for acquisition of up to 3 auxiliary sensors. It also has an 8-bit trigger input to synchronize with other devices such as Eye-Tracking, Motion (IMU), and more.
Used around the world by leaders in Research, Neurofeedback, Neuromarketing, Brain-Computer Interfaces, & Neuroergonomics.
With over 90% correlation to research-grade wet EEG systems, the dry sensor interface (DSI) offers unparalleled quality and performance
Multiple adjustment points and a foam pad lined interior enable the system to be worn for up to 8 hours on any head shape or size
All DSI systems include free, unlimited licenses of DSI-Streamer, our data acquisition software which can record raw data, in .csv and .edf file formats
Faraday cage's, spring-loaded electrodes, and our patented common-mode follower technology, provides near immunity against electrical and motion artifacts
Using 70% isopropyl alcohol and a cleaning brush, the DSI-24 only takes a minute to clean, 3 minutes to dry, and can be up and running on the next subject in minutes
All DSI systems include our free C based .dll API, which enables users to pull the raw data directly from the headset, for custom software on Windows, Mac OS, Linux, and ARM
The DSI-24 was designed for ultra-rapid setup, taking on average less than 3 minutes to don, and works on any type of hair, including long hair, thick hair, afros, and more
DSI headsets have active sensors, amplifiers, digitizers, batteries, onboard storage, and wireless transmission, making them complete, mobile, wearable EEG systems
DSI systems exclusively work with QStates, a machine learning algorithm for cognitive classification on states such as mental workload, engagement, and fatigue
Our Wireless Trigger Hub simplifies the synchronization of DSI headsets with other devices. It features:
An additional benefit of the Trigger Hub design is that it allows synchronization across multiple data sources that are distributed across multiple systems, each of which running at its own clock rate. One such case commonly experienced in EEG experiments involves the synchronization of EEG and eye-tracking measurements, where the inevitable clock drift that arises between two systems during extended measurements creates difficulty in aligning data to events across the two systems.
The DSI-24 has 3 auxiliary inputs on the headset, which allows for automatic synchronization of Wearable Sensing’s auxiliary sensors to the EEG. The sensors available include ECG, EMG, EOG, GSR, RESP, & TEMP. The sensor data is collected and recorded in our data acquisition software, DSI-Streamer, where you can view the EEG and Aux sensors in real-time.
EEG Channels
Fp1, Fp2, Fz, F3, F4, F7, F8, Cz, C3, C4, T7/T3, T8/T4, Pz, P3, P4, P7/T5, P8/T6, O1, O2, A1, A2
Reference / Ground
Common Mode Follower / Fpz
Head Size Range
Adult Size: 52cm – 62cm circumference
Child Size: 48cm – 54cm circumference
Sampling Rate
300 Hz (600Hz upgrade available)
Bandwidth
0.003 – 150 Hz
A/D resolution
0.317 μV referred to input
Input Impedance (1Hz)
47 GΩ
CMRR
> 120 dB
Amplifier / Digitizer
16 bits / 24 channels
Wireless
Bluetooth
Wireless Range
10 m
Run-time
> 24 Hours, Hot-Swappable Batteries
Onboard Storage
~ 68 Hours (available option)
Data Acquisition
Real time, evoked potentials
Signal Quality Monitoring
Continuous impedance, Baseline offset, Noise (1-50 Hz)
Data Type
Raw and Filtered Data available
File Type
.CSV and .EDF
Data Output Streaming
TCP/IP socket, API (C Based), LSL
Cognitive State Classification
Brain Computer Interface
SSVEP BCI Algorithms; BCI2000; OpenViBE; PsychoPy; BCILab
Data Integration / Analysis
CAPTIV; Lab Streaming Layer; NeuroPype; BrainStorm; NeuroVIS
Neurofeedback
Applied Neuroscience NeuroGuide; Brainmaster Brain Avatar; EEGer
Neuromarketing
CAPTIV Neurolab
Presentation
Presentation; E-Prime
Godfrey, Kate; Weiss, Brandon; Zhang, Xinhu; Spriggs, Meg; Peill, Joseph; Lyons, Taylor; Carhart-Harris, Robin; Erritzoe, David
An investigation of acute Physiological and Psychological Moderators of Psychedelic-induced Personality Change among Healthy Volunteers Journal Article
In: Neuroscience Applied, pp. 104092, 2024.
@article{godfrey2024investigation,
title = {An investigation of acute Physiological and Psychological Moderators of Psychedelic-induced Personality Change among Healthy Volunteers},
author = {Kate Godfrey and Brandon Weiss and Xinhu Zhang and Meg Spriggs and Joseph Peill and Taylor Lyons and Robin Carhart-Harris and David Erritzoe},
doi = {https://doi.org/10.1016/j.nsa.2024.104092},
year = {2024},
date = {2024-12-02},
urldate = {2024-01-01},
journal = {Neuroscience Applied},
pages = {104092},
publisher = {Elsevier},
abstract = {This study investigated the effects of a single high-dose of psilocybin on personality traits in psychedelic-naïve healthy volunteers. These data originate from a larger within-subjects fixed-order design trial, where a single high dose of psilocybin (25mg) was administered in a psychologically supportive setting and was compared against a (one-month) prior, 1mg ‘placebo’ dose. Personality shifts were assessed by the Big Five Inventory and the Big Five Aspect Scale, while the Altered States of Consciousness questionnaire (5D-ASC) and the Psychological Insight Scale gauged the acute psychological effects of the substance. Electroencephalography provided neurophysiological insights, specifically examining alpha power and Lempel-Ziv complexity (LZc). Results indicated significant reductions in neuroticism one month after 25mg psilocybin administration, a finding consistent with prior studies. Reductions in neuroticism were moderated by the subjective meaningfulness of the psychedelic experience, as well as by the dread of ego dissolution subscale of the 5D-ASC, suggesting a relationship between acute drug effects and enduring personality alterations. Thus, this study substantiates the role of acute psychedelic states in catalysing lasting personality transformations in a generally beneficial direction, with broader implications for therapeutic applications and understanding of personality dynamics.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Busch, Aglaja; Gianotti, Lorena RR; Mayer, Frank; Baur, Heiner
Monitoring Cortical and Neuromuscular Activity: Six-month Insights into Knee Joint Position Sense Following ACL Reconstruction Journal Article
In: International Journal of Sports Physical Therapy, vol. 19, no. 11, pp. 1290, 2024.
@article{busch2024monitoring,
title = {Monitoring Cortical and Neuromuscular Activity: Six-month Insights into Knee Joint Position Sense Following ACL Reconstruction},
author = {Aglaja Busch and Lorena RR Gianotti and Frank Mayer and Heiner Baur},
doi = {https://doi.org/10.26603/001c.124840},
year = {2024},
date = {2024-11-02},
urldate = {2024-01-01},
journal = {International Journal of Sports Physical Therapy},
volume = {19},
number = {11},
pages = {1290},
abstract = {Background
Changes in cortical activation patterns after rupture of the anterior cruciate ligament (ACL) have been described. However, evidence of these consequences in the early stages following the incident and through longitudinal monitoring is scarce. Further insights could prove valuable in informing evidence-based rehabilitation practices.
Purpose
To analyze the angular accuracy, neuromuscular, and cortical activity during a knee joint position sense (JPS) test over the initial six months following ACL reconstruction. Study design: Cohort Study
Methods
Twenty participants with ACL reconstruction performed a JPS test with both limbs. The measurement time points were approximately 1.5, 3-4 and 6 months after surgery, while 20 healthy controls were examined on a single occasion. The active JPS test was performed seated with a target angle of 50° for two blocks of continuous angular reproduction (three minutes per block). The reproduced angles were recorded simultaneously by an electrogoniometer. Neuromuscular activity of the quadriceps muscles during extension to the target angle was measured with surface electromyography. Spectral power for theta, alpha-2, beta-1 and beta-2 frequency bands were determined from electroencephalographic recordings. Linear mixed models were performed with group (ACL or controls), the measurement time point, and respective limb as fixed effect and each grouping per subject combination as random effect with random intercept.
Results
Significantly higher beta-2 power over the frontal region of interest was observed at the first measurement time point in the non-involved limb of the ACL group in comparison to the control group (p = 0.03). Despite individual variation, no other statistically significant differences were identified for JPS error, neuromuscular, or other cortical activity.
Conclusion
Variation in cortical activity between the ACL and control group were present, which is consistent with published results in later stages of rehabilitation. Both indicate the importance of a neuromuscular and neurocognitive focus in the rehabilitation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gwon, Daeun; Ahn, Minkyu
Motor task-to-task transfer learning for motor imagery brain-computer interfaces Journal Article
In: NeuroImage, pp. 120906, 2024.
@article{gwon2024motor,
title = {Motor task-to-task transfer learning for motor imagery brain-computer interfaces},
author = {Daeun Gwon and Minkyu Ahn},
doi = {https://doi.org/10.1016/j.neuroimage.2024.120906},
year = {2024},
date = {2024-10-28},
urldate = {2024-01-01},
journal = {NeuroImage},
pages = {120906},
publisher = {Elsevier},
abstract = {Motor imagery (MI) is one of the popular control paradigms in the non-invasive brain-computer interface (BCI) field. MI-BCI generally requires users to conduct the imagination of movement (e.g., left or right hand) to collect training data for generating a classification model during the calibration phase. However, this calibration phase is generally time-consuming and tedious, as users conduct the imagination of hand movement several times without being given feedback for an extended period. This obstacle makes MI-BCI non user-friendly and hinders its use. On the other hand, motor execution (ME) and motor observation (MO) are relatively easier tasks, yield lower fatigue than MI, and share similar neural mechanisms to MI. However, few studies have integrated these three tasks into BCIs. In this study, we propose a new task-to-task transfer learning approach of 3-motor tasks (ME, MO, and MI) for building a better user-friendly MI-BCI. For this study, 28 subjects participated in 3-motor tasks experiment, and electroencephalography (EEG) was acquired. User opinions regarding the 3-motor tasks were also collected through questionnaire survey. The 3-motor tasks showed a power decrease in the alpha rhythm, known as event-related desynchronization, but with slight differences in the temporal patterns. In the classification analysis, the cross-validated accuracy (within-task) was 67.05 % for ME, 65.93 % for MI, and 73.16 % for MO on average. Consistently with the results, the subjects scored MI (3.16) as the most difficult task compared with MO (1.42) and ME (1.41), with p < 0.05. In the analysis of task-to-task transfer learning, where training and testing are performed using different task datasets, the ME–trained model yielded an accuracy of 65.93 % (MI test), which is statistically similar to the within-task accuracy (p > 0.05). The MO–trained model achieved an accuracy of 60.82 % (MI test). On the other hand, combining two datasets yielded interesting results. ME and 50 % of the MI–trained model (50-shot) classified MI with a 69.21 % accuracy, which outperformed the within-task accuracy (p < 0.05), and MO and 50 % of the MI–trained model showed an accuracy of 66.75 %. Of the low performers with a within-task accuracy of 70 % or less, 90 % (n = 21) of the subjects improved in training with ME, and 76.2 % (n = 16) improved in training with MO on the MI test at 50-shot. These results demonstrate that task-to-task transfer learning is possible and could be a promising approach to building a user-friendly training protocol in MI-BCI.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Harel, Asaf; Shriki, Oren
Task-guided attention increases non-linearity of steady-state visually evoked potentials Journal Article
In: Journal of Neural Engineering, 2024.
@article{harel2024task,
title = {Task-guided attention increases non-linearity of steady-state visually evoked potentials},
author = {Asaf Harel and Oren Shriki},
doi = {https://doi.org/10.1088/1741-2552/ad8032},
year = {2024},
date = {2024-09-26},
urldate = {2024-01-01},
journal = {Journal of Neural Engineering},
abstract = {Attention is a multifaceted cognitive process, with nonlinear dynamics playing a crucial role. In this study, we investigated the involvement of nonlinear processes in top-down visual attention by employing a contrast-modulated sequence of letters and numerals, encircled by a consistently flickering white square on a black background - a setup that generated steady-state visually evoked potentials. Nonlinear processes are recognized for eliciting and modulating the harmonics of constant frequencies. We examined the fundamental and harmonic frequencies of each stimulus to evaluate the underlying nonlinear dynamics during stimulus processing. In line with prior research, our findings indicate that the power spectrum density of EEG responses is influenced by both task presence and stimulus contrast. By utilizing the Rhythmic Entrainment Source Separation (RESS) technique, we discovered that actively searching for a target within a letter stream heightened the amplitude of the fundamental frequency and harmonics related to the background flickering stimulus. While the fundamental frequency amplitude remained unaffected by stimulus contrast, a lower contrast led to an increase in the second harmonic's amplitude. We assessed the relationship between the contrast response function and the nonlinear-based harmonic responses. Our findings contribute to a more nuanced understanding of the nonlinear processes impacting top-down visual attention while also providing insights into optimizing brain-computer interfaces.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Cha, Seungwoo; Kim, Kyoung Tae; Chang, Won Kee; Paik, Nam-Jong; Choi, Ji Soo; Lim, Hyunmi; Kim, Won-Seok; Ku, Jeonghun
Effect of Electroencephalography-based Motor Imagery Neurofeedback on Mu Suppression During Motor Attempt in Patients with Stroke Journal Article
In: Journal of NeuroEngineering and Rehabilitation , 2024.
@article{cha2024effect,
title = {Effect of Electroencephalography-based Motor Imagery Neurofeedback on Mu Suppression During Motor Attempt in Patients with Stroke},
author = {Seungwoo Cha and Kyoung Tae Kim and Won Kee Chang and Nam-Jong Paik and Ji Soo Choi and Hyunmi Lim and Won-Seok Kim and Jeonghun Ku},
doi = {https://doi.org/10.21203/rs.3.rs-5106561/v1},
year = {2024},
date = {2024-09-26},
urldate = {2024-01-01},
journal = {Journal of NeuroEngineering and Rehabilitation },
abstract = {Objective
The primary aims of this study were to explore the neurophysiological effects of motor imagery neurofeedback using electroencephalography (EEG), specifically focusing on mu suppression during serial motor attempts and assessing its potential benefits in patients with subacute stroke.
Methods
A total of 15 patients with hemiplegia following subacute ischemic stroke were prospectively enrolled in this randomized cross-over study. This study comprised two experiments: neurofeedback and sham. Each experiment included four blocks: three blocks of resting, grasp, resting, and intervention, followed by one block of resting and grasp. During the resting sessions, the participants fixated on a white cross on a black background for 2 minutes without moving their upper extremities. In the grasp sessions, the participants were instructed to grasp and release their paretic hand at a frequency of about 1 Hz for 3 minutes while fixating on the same white cross. During the intervention sessions, neurofeedback involved presenting a punching image with the affected upper limb corresponding to the mu suppression induced by imagined movement, while the sham involved mu suppression of other randomly selected participants 3 minutes. EEG data were recorded during the experiment, and data from C3/C4 and P3/P4 were used for analyses to compare the degree of mu suppression between the neurofeedback and sham conditions.
Results
Significant mu suppression was observed in the bilateral motor and parietal cortices during the neurofeedback intervention compared with the sham condition across serial sessions (p < 0.001). Following neurofeedback, the real grasping sessions showed progressive strengthening of mu suppression in the ipsilesional motor cortex and bilateral parietal cortices compared to those following sham (p < 0.05), an effect not observed in the contralesional motor cortex.
Conclusion
Motor imagery neurofeedback significantly enhances mu suppression in the ipsilesional motor and bilateral parietal cortices during motor attempts in patients with subacute stroke. These findings suggest that motor imagery neurofeedback could serve as a promising adjunctive therapy to enhance motor-related cortical activity and support motor rehabilitation in patients with stroke.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Yfantidou, I; Tsourvakas, G; Oikonomou, VP; Kompatsiaris, I
Consumer response to different discount sales promotional messages. An eye tracking and EEG experiment Miscellaneous
2024.
@misc{yfantidouconsumer,
title = {Consumer response to different discount sales promotional messages. An eye tracking and EEG experiment},
author = {I Yfantidou and G Tsourvakas and VP Oikonomou and I Kompatsiaris},
url = {https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0000962.pdf},
year = {2024},
date = {2024-09-04},
abstract = {This article presents a study of consumer behavior during the selection of products from a supermarket’s leaflet. There are many factors that can determine whether a particular product attracts consumers’ attention, such as price, brand, and sales discount. This study is focused on consumers’ preferences among the three most common sales discount types. For the purpose of the study a leaflet that is identical to a real supermarket leaflet was designed, to resemble a real-life experience. Eye tracking and EEG were used to record participants’ gaze and emotions while viewing the leaflet. The behavior of 42 participants was investigated and it was identified how valuable the clarity of the promotional message is. Moreover, EEG helped us analyze basic nonconscious preferences and cognitive processes, such as the effect of memorization, approach-withdrawal and workload in decision making.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Georgiadis, Kostas; Nikolopoulos, Spiros; Kalaganis, Fotis P; Kompatsiaris, Ioannis; Laskaris, Nikos A
Assessing video advertising engagement via Nonlinear Intersubject Correlation Analysis of EEG and eye tracking dynamics Miscellaneous
2024.
@misc{georgiadisassessing,
title = {Assessing video advertising engagement via Nonlinear Intersubject Correlation Analysis of EEG and eye tracking dynamics},
author = {Kostas Georgiadis and Spiros Nikolopoulos and Fotis P Kalaganis and Ioannis Kompatsiaris and Nikos A Laskaris},
url = {https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0000957.pdf},
year = {2024},
date = {2024-09-01},
abstract = {A novel framework for assessing engagement through video commercials is presented. Deviating from the current approaches, here we cast the problem as nonlinear intersubject correlation analysis and pursue the collective (i.e. across-participants) treatment of EEG signals and eye-tracking measurements. Regarding brain dynamics, two well-known descriptors, namely spatial covariance and phase locking value, undergo transcription to their ‘hyperscanning’ equivalents. Regarding eye-related measurements, individual paths and pupillometric measurements are summarized at population level. Using data from a recording paradigm, where each participant independently watched a cartoon video interrupted by a commercial clip, we show that our approach can provide signatures of engagement to the content being delivered and reconstruct the level of appreciation of the potential consumers.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Al-Ezzi, Abdulhakim; Arechavala, Rebecca J; Butler, Ryan; Nolty, Anne; Kang, Jimmy J; Shimojo, Shinsuke; Wu, Daw-An; Fonteh, Alfred N; Kleinman, Michael T; Kloner, Robert A; others,
Disrupted brain functional connectivity as early signature in cognitively healthy individuals with pathological CSF amyloid/tau Journal Article
In: Communications Biology, vol. 7, no. 1, pp. 1037, 2024.
@article{al2024disrupted,
title = {Disrupted brain functional connectivity as early signature in cognitively healthy individuals with pathological CSF amyloid/tau},
author = {Abdulhakim Al-Ezzi and Rebecca J Arechavala and Ryan Butler and Anne Nolty and Jimmy J Kang and Shinsuke Shimojo and Daw-An Wu and Alfred N Fonteh and Michael T Kleinman and Robert A Kloner and others},
doi = {https://doi.org/10.1038/s42003-024-06673-w},
year = {2024},
date = {2024-08-23},
urldate = {2024-01-01},
journal = {Communications Biology},
volume = {7},
number = {1},
pages = {1037},
publisher = {Nature Publishing Group UK London},
abstract = {Alterations in functional connectivity (FC) have been observed in individuals with Alzheimer’s disease (AD) with elevated amyloid (Aβ) and tau. However, it is not yet known whether directed FC is already influenced by Aβ and tau load in cognitively healthy (CH) individuals. A 21-channel electroencephalogram (EEG) was used from 46 CHs classified based on cerebrospinal fluid (CSF) Aβ tau ratio: pathological (CH-PAT) or normal (CH-NAT). Directed FC was estimated with Partial Directed Coherence in frontal, temporal, parietal, central, and occipital regions. We also examined the correlations between directed FC and various functional metrics, including neuropsychology, cognitive reserve, MRI volumetrics, and heart rate variability between both groups. Compared to CH-NATs, the CH-PATs showed decreased FC from the temporal regions, indicating a loss of relative functional importance of the temporal regions. In addition, frontal regions showed enhanced FC in the CH-PATs compared to CH-NATs, suggesting neural compensation for the damage caused by the pathology. Moreover, CH-PATs showed greater FC in the frontal and occipital regions than CH-NATs. Our findings provide a useful and non-invasive method for EEG-based analysis to identify alterations in brain connectivity in CHs with a pathological versus normal CSF Aβ/tau.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chung, Jiwon; Yoon, Jung Eun; Park, Soah; Won, Hyunbin; Ha, Suhyun; Koo, Sumin Helen
Design development and evaluation of arm movement-assistive suits for lifting and movement for industrial workers considering wearability Journal Article
In: International Journal of Industrial Ergonomics, vol. 103, pp. 103616, 2024.
@article{chung2024design,
title = {Design development and evaluation of arm movement-assistive suits for lifting and movement for industrial workers considering wearability},
author = {Jiwon Chung and Jung Eun Yoon and Soah Park and Hyunbin Won and Suhyun Ha and Sumin Helen Koo},
doi = {https://doi.org/10.1016/j.ergon.2024.103616},
year = {2024},
date = {2024-08-03},
urldate = {2024-01-01},
journal = {International Journal of Industrial Ergonomics},
volume = {103},
pages = {103616},
publisher = {Elsevier},
abstract = {Wearability of clothing is important for enhancing work efficiency and resistance among industrial workers. In this study, we developed wearable suit designs for shoulder and upper limb support when lifting objects considering the wearability of the user in the development stage. We provide basic data on the wearability of functional clothing and wearable suits, with emphasis on improving safety and work efficiency. Two distinct wearable suit designs, namely long- and short-sleeved, were developed and evaluated with a primary focus on wearer comfort. Employing a comprehensive approach encompassing textile analysis, performance assessment, brainwave investigation, and satisfaction surveys, this study provides objective insights for refining the wearability in wearable suit development. A short-sleeved design is recommended for the development of wearable suits tailored to assist industrial workers in tasks requiring muscle strength for heavy loads and repetitive motions. Our results provide foundational data on the wearability of robotic suits in a bid to enhance the safety and efficiency of industrial workers.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
He, Jiali; Chan, Sunny HW; Lin, Jingxia; Tsang, Hector WH
In: Sleep Medicine, 2024.
@article{he2024integration,
title = {Integration of Tai Chi and repetitive transcranial magnetic stimulation for sleep disturbances in older adults: A pilot randomized controlled trial},
author = {Jiali He and Sunny HW Chan and Jingxia Lin and Hector WH Tsang},
doi = {https://doi.org/10.1016/j.sleep.2024.07.029},
year = {2024},
date = {2024-08-02},
urldate = {2024-01-01},
journal = {Sleep Medicine},
publisher = {Elsevier},
abstract = {Background
The arousal state has been demonstrated to be involved in the fundamental pathophysiological mechanism of sleep disturbances. Tai Chi (TC) and repetitive transcranial magnetic stimulation (rTMS) have been documented to alleviate sleep disturbances by interfering with different arousal components. It is reasonable to assume that combining TC and rTMS could induce synergistic and longer-lasting benefits for sleep disturbances.
Methods
Thirty-eight older community-dwelling people were randomly assigned to one of three groups: TC plus rTMS (n = 12), TC alone (n = 13), and treat-as-usual (TAU) (n = 13). The interventions were conducted three times per week for 4 weeks for the two intervention groups. The primary outcome was the insomnia severity, while the secondary outcomes were the actigraphy-assessed sleep patterns, use of hypnotic medications, mood states, and quality of life. The mediator outcomes included self-reported somatic arousal and cognitive arousal as well as electroencephalogram (EEG)-assessed cortical arousal. The assessments were conducted at baseline (T0), post-intervention (T1), and 3-month follow-up (T2).
Results
Significant improvements in the insomnia severity were observed in the TC plus rTMS group compared with the TAU group at T1 (Cohen’s d = 1.62, p = .003) and T2 (Cohen’s d = 1.97, p < .001). In contrast, significant improvements in the TC alone group were found only at T2 (Cohen’s d = 1.03, p = .010) when compared with the TAU group. Significant interaction effects were noted on the actigraphy-assessed sleep efficiency (p = .015) and total sleep time (p = .004), depression (p = .003) and stress scores (p = .002), and mental function in relation to quality of life (p = .042). However, none of the mediators elucidated how combining TC and rTMS could improve the insomnia severity.
Conclusion
The research findings are expected to guide further clinical practice in the management of sleep disturbances among older adults using various interventions. Future studies are needed to unravel the underlying mechanism and optimize the protocol to maximize the therapeutic benefits.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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