Effects of Acupuncture Therapy on MCI Patients Using Functional Near-Infrared Spectroscopy

Ghafoor, Usman; Lee, Jun-Hwan; Hong, Keum‐Shik; Park, Sang-Soo; Kim, Jieun; Yoo, Ho-Ryong

doi:10.3389/fnagi.2019.00237

Cited by 88 publications

(72 citation statements)

References 104 publications

(111 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding the acupuncture therapy, the initial study by our research group had investigated the longitudinal effects on the MCI patients: The analyses were primarily based on the Korean version of the Montreal Cognitive Assessment score (MoCA-K) and hemodynamic responses [27]. In this study, the functional connectivity and graph theory were analyzed.…”

Section: Signi Cantly Enhanced Activation Was Not Observed In MCI Patmentioning

confidence: 99%

“…To evaluate the cognitive performance of the participants, MoCA-K test was performed. For the details of the test interested readers can refer to [27]. In the experiment, seven detectors and eight emitters were positioned over the region of interest.…”

Section: Participantsmentioning

confidence: 99%

“…The intervention details were presented in detail in a recently published work [27]. Brie y, the patients underwent several acupuncture sessions lasting 10 min each.…”

Section: Intervention Detailmentioning

confidence: 99%

See 2 more Smart Citations

Evidence of Neuroplasticity Due to Acupuncture: An fNIRS Study

Khan

Ghafoor

Yoo

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Mild cognitive impairment (MCI) is a precursor to the critical disease known as Alzheimer’s. It is imperative to develop a proper treatment for this neurological disease in the aging society. This study investigates the effects of acupuncture therapy (AT) on MCI patients.Methods: Eleven healthy individuals and eleven MCI patients were recruited for this study. Oxy- and deoxy-hemoglobin signals in the prefrontal cortex during working-memory tasks were monitored using functional near-infrared spectroscopy. Before the AT, working-memory experiments were conducted for healthy control (HC) and MCI groups (MCI-0), followed by 24 sessions of AT for the MCI group. The AT sessions were initially carried out for six weeks (two sessions per week), after which experiments were performed again on the MCI group (MCI-1). This was followed by another set of AT sessions that also lasted for six weeks, after which the experiments were repeated again on the MCI group (MCI-2). Statistical analyses of the signals and classifications based on activation maps as well as temporal features were performed.Results: The highest classification accuracies obtained using binary connectivity maps were 85.7% HC vs. MCI-0, 69.5% HC vs. MCI-1, and 61.69% HC vs. MCI-2. The classification accuracies using the temporal features mean (i.e., mean(5:28 s)) and maximum (i.e., max(5:28 s)) values were 60.6% HC vs. MCI-0, 56.9% HC vs. MCI-1, and 56.4% HC vs. MCI-2. Conclusions: The results reveal that there was a change in the temporal characteristics of the hemodynamic response of MCI patients due to acupuncture. This was reflected by a reduction in the classification accuracy after the therapy, indicating that the patients’ brain response improved and became comparable to those of healthy subjects. Similar trend was reflected in the classification using image feature. These results indicate that acupuncture can be used for the treatment of MCI patients.Trial registration: Clinical research and information service (CRIS), KCT 0002451, Registered 05 September 2017, https://cris.nih.go.kr/cris/en/

show abstract

Section: Signi Cantly Enhanced Activation Was Not Observed In MCI Patmentioning

confidence: 99%

Section: Participantsmentioning

confidence: 99%

See 1 more Smart Citation

Evidence of Neuroplasticity Due to Acupuncture: An fNIRS Study

Khan

Ghafoor

Yoo

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…52,200,232 Various studies involving electric and magnetic stimulations have been conducted and have described the e®ects of stimulation during rehabilitation therapy on hemodynamic responses, thereby demonstrating the ben-e¯cial nature of fNIRS. 9,105,199,[250][251][252]264,290,375,376 The fNIRS captures optical intensity signals via photodetectors, which are unaltered by electric and magnetic¯elds. Therefore, fNIRS is a more suitable neuroimaging modality for evaluating the e®ects of rehabilitation in the brain compared to fMRI and EEG.…”

Section: Tasks For Fnirs Signalsmentioning

confidence: 99%

Application of functional near-infrared spectroscopy in the healthcare industry: A review

Hong

Yaqub

2019

J. Innov. Opt. Health Sci.

Self Cite

View full text Add to dashboard Cite

Functional near-infrared spectroscopy (fNIRS), a growing neuroimaging modality, has been utilized over the past few decades to understand the neuronal behavior in the brain. The technique has been used to assess the brain hemodynamics of impaired cohorts as well as able-bodied. Neuroimaging is a critical technique for patients with impaired cognitive or motor behaviors. The portable nature of the fNIRS system is suitable for frequent monitoring of the patients who exhibit impaired brain activity. This study comprehensively reviews brain-impaired patients: The studies involving patient populations and the diseases discussed in more than 10 works are included. Eleven diseases examined in this paper include autism spectrum disorder, attention-deficit hyperactivity disorder, epilepsy, depressive disorders, anxiety and panic disorder, schizophrenia, mild cognitive impairment, Alzheimer’s disease, Parkinson’s disease, stroke, and traumatic brain injury. For each disease, the tasks used for examination, fNIRS variables, and significant findings on the impairment are discussed. The channel configurations and the regions of interest are also outlined. Detecting the occurrence of symptoms at an earlier stage is vital for better rehabilitation and faster recovery. This paper illustrates the usability of fNIRS for early detection of impairment and the usefulness in monitoring the rehabilitation process. Finally, the limitations of the current fNIRS systems (i.e., nonexistence of a standard method and the lack of well-established features for classification) and future research directions are discussed. The authors hope that the findings in this paper would lead to advanced breakthrough discoveries in the fNIRS field in the future.

show abstract

“…It offers several advantages, including acceptable temporal and spatial resolution , portability, and low cost (Ferrari and Quaresima, 2012). With these advantages, fNIRS has successfully demonstrated its potential as a viable neuroimaging tool for applications to the health care industry (Hong and Yaqub, 2019), neurological disorders (Obrig, 2014;Ghafoor et al, 2019;Yang et al, 2019), psychiatric disorders (Ohi et al, 2017), behavioral and cognitive development (Watanabe et al, 2017;Yaqub et al, 2018), and brain-computer interfaces (BCIs) (Nicolas-Alonso and Gomez-Gil, 2012;Naseer and Hong, 2015;Schudlo and Chau, 2018;Shin and Im, 2018).…”

Section: Introductionmentioning

confidence: 99%

Reduction of Onset Delay in Functional Near-Infrared Spectroscopy: Prediction of HbO/HbR Signals

Zafar

Hong

2020

Front. Neurorobot.

Self Cite

View full text Add to dashboard Cite

An intrinsic problem when using hemodynamic responses for the brain-machine interface is the slow nature of the physiological process. In this paper, a novel method that estimates the oxyhemoglobin changes caused by neuronal activations is proposed and validated. In monitoring the time responses of blood-oxygen-level-dependent signals with functional near-infrared spectroscopy (fNIRS), the early trajectories of both oxy-and deoxy-hemoglobins in their phase space are scrutinized. Furthermore, to reduce the detection time, a prediction method based upon a kernel-based recursive least squares (KRLS) algorithm is implemented. In validating the proposed approach, the fNIRS signals of finger tapping tasks measured from the left motor cortex are examined. The results show that the KRLS algorithm using the Gaussian kernel yields the best fitting for both HbO (i.e., 87.5%) and HbR (i.e., 85.2%) at q = 15 steps ahead (i.e., 1.63 s ahead at a sampling frequency of 9.19 Hz). This concludes that a neuronal activation can be concluded in about 0.1 s with fNIRS using prediction, which enables an almost real-time practice if combined with EEG.

show abstract

Effects of Acupuncture Therapy on MCI Patients Using Functional Near-Infrared Spectroscopy

Cited by 88 publications

References 104 publications

Evidence of Neuroplasticity Due to Acupuncture: An fNIRS Study

Evidence of Neuroplasticity Due to Acupuncture: An fNIRS Study

Application of functional near-infrared spectroscopy in the healthcare industry: A review

Reduction of Onset Delay in Functional Near-Infrared Spectroscopy: Prediction of HbO/HbR Signals

Contact Info

Product

Resources

About