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Jiao D, Xu L, Gu Z, Yan H, Shen D, Gu X. Pathogenesis, diagnosis, and treatment of epilepsy: electromagnetic stimulation-mediated neuromodulation therapy and new technologies. Neural Regen Res 2025; 20:917-935. [PMID: 38989927 DOI: 10.4103/nrr.nrr-d-23-01444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/18/2024] [Indexed: 07/12/2024] Open
Abstract
Epilepsy is a severe, relapsing, and multifactorial neurological disorder. Studies regarding the accurate diagnosis, prognosis, and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy. The pathogenesis of epilepsy is complex and involves alterations in variables such as gene expression, protein expression, ion channel activity, energy metabolites, and gut microbiota composition. Satisfactory results are lacking for conventional treatments for epilepsy. Surgical resection of lesions, drug therapy, and non-drug interventions are mainly used in clinical practice to treat pain associated with epilepsy. Non-pharmacological treatments, such as a ketogenic diet, gene therapy for nerve regeneration, and neural regulation, are currently areas of research focus. This review provides a comprehensive overview of the pathogenesis, diagnostic methods, and treatments of epilepsy. It also elaborates on the theoretical basis, treatment modes, and effects of invasive nerve stimulation in neurotherapy, including percutaneous vagus nerve stimulation, deep brain electrical stimulation, repetitive nerve electrical stimulation, in addition to non-invasive transcranial magnetic stimulation and transcranial direct current stimulation. Numerous studies have shown that electromagnetic stimulation-mediated neuromodulation therapy can markedly improve neurological function and reduce the frequency of epileptic seizures. Additionally, many new technologies for the diagnosis and treatment of epilepsy are being explored. However, current research is mainly focused on analyzing patients' clinical manifestations and exploring relevant diagnostic and treatment methods to study the pathogenesis at a molecular level, which has led to a lack of consensus regarding the mechanisms related to the disease.
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Affiliation(s)
- Dian Jiao
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Lai Xu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Zhen Gu
- Key Laboratory of Advanced Drug Delivery Systems of Zhejiang Province, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Hua Yan
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Dingding Shen
- Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Xiaosong Gu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
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Chuderski A, Chinta SR. Transcranial alternating current stimulation barely enhances working memory in healthy adults: A meta-analysis. Brain Res 2024; 1839:149022. [PMID: 38801916 DOI: 10.1016/j.brainres.2024.149022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 05/20/2024] [Accepted: 05/23/2024] [Indexed: 05/29/2024]
Abstract
Working memory (WM) is a pivotal neural mechanism for cognitive function and ability. Transcranial alternating current stimulation (tACS) was used to improve WM by entraining key brain rhythms. We submitted to meta-analysis 143 effects of tACS on WM performance, found in 42 reports published between 2014 and 2023, encompassing a total of 1386 healthy adults stimulated. The overall effect size of 134 interventions intended to improve WM equaled Hedges' g = 0.076 [0.039, 0.113]. However, after correcting for a significant publication bias this effect size dropped to zero. By contrast, 9 interventions distorting the brain synchronization using antiphase tACS reliably decreased WM performance, with Hedges' g = -0.266, [-0.458, -0.074]. Individuating the targeted frequency band was the only reliable moderator. The disparity between our null outcome and moderately positive tACS effects estimated by previous meta-analyses resulted from our inclusion of the most recent studies mostly reporting negligible effects. Our results suggest that current tACS protocols barely enhance WM in healthy adults. More research is needed to develop effective methods for WM stimulation.
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Thiele C, Rufener KS, Repplinger S, Zaehle T, Ruhnau P. Transcranial temporal interference stimulation (tTIS) influences event-related alpha activity during mental rotation. Psychophysiology 2024:e14651. [PMID: 38997805 DOI: 10.1111/psyp.14651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 05/14/2024] [Accepted: 07/01/2024] [Indexed: 07/14/2024]
Abstract
Non-invasive brain stimulation techniques offer therapeutic potential for neurological and psychiatric disorders. However, current methods are often limited in their stimulation depth. The novel transcranial temporal interference stimulation (tTIS) aims to overcome this limitation by non-invasively targeting deeper brain regions. In this study, we aimed to evaluate the efficacy of tTIS in modulating alpha activity during a mental rotation task. The effects of tTIS were compared with transcranial alternating current stimulation (tACS) and a sham control. Participants were randomly assigned to a tTIS, tACS, or sham group. They performed alternating blocks of resting and mental rotation tasks before, during, and after stimulation. During the stimulation blocks, participants received 20 min of stimulation adjusted to their individual alpha frequency (IAF). We assessed shifts in resting state alpha power, event-related desynchronization (ERD) of alpha activity during mental rotation, as well as resulting improvements in behavioral performance. Our results indicate tTIS and tACS to be effective in modulating cortical alpha activity during mental rotation, leading to an increase in ERD from pre- to poststimulation as well as compared to sham stimulation. However, this increase in ERD was not correlated with enhanced mental rotation performance, and resting state alpha power remained unchanged. Our findings underscore the complex nature of tTIS and tACS efficacy, indicating that stimulation effects are more observable during active cognitive tasks, while their impacts are less pronounced on resting neuronal systems.
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Affiliation(s)
- Carsten Thiele
- Department of Neurology, Otto-von-Guericke-University, University Clinic of Magdeburg, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany
| | - Katharina S Rufener
- Center for Behavioral Brain Sciences (CBBS), Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine of Childhood and Adolescents, Otto-von-Guericke-University, University Clinic of Magdeburg, Magdeburg, Germany
| | - Stefan Repplinger
- Department of Neurology, Otto-von-Guericke-University, University Clinic of Magdeburg, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany
| | - Tino Zaehle
- Department of Neurology, Otto-von-Guericke-University, University Clinic of Magdeburg, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany
| | - Philipp Ruhnau
- Center for Behavioral Brain Sciences (CBBS), Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany
- School of Psychology and Humanities, University of Central Lancashire, Preston, UK
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Perrey S. How effective is transcranial direct current stimulation? Lancet 2024; 403:2688-2689. [PMID: 38908869 DOI: 10.1016/s0140-6736(24)00634-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 03/25/2024] [Indexed: 06/24/2024]
Affiliation(s)
- Stephane Perrey
- EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Ales, Montpellier 34090, France.
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Zhou J, Li D, Ye F, Liu R, Feng Y, Feng Z, Li R, Li X, Liu J, Zhang X, Zhou J, Wang G. Effect of add-on transcranial alternating current stimulation (tACS) in major depressive disorder: A randomized controlled trial. Brain Stimul 2024; 17:760-768. [PMID: 38880208 DOI: 10.1016/j.brs.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 06/07/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024] Open
Abstract
BACKGROUND The effect of transcranial alternating current stimulation (tACS) on major depressive disorder (MDD) was not confirmed. OBJECTIVE To evaluate the feasibility, safety, and efficacy of tACS as an add-on treatment for the symptoms of depression and to understand how tACS affects brain activity. METHODS The 4-week, double-blind, randomized, sham-controlled trial was performed from January 29, 2023 to December 22, 2023. Sixty-six participants were recruited and randomly assigned to receive 20 40-min sessions of either active (77.5Hz, 15 mA) or sham stimulation, with one electrode on the forehead and two on the mastoid, each day (n = 33 for each group) for four weeks (till Week 4). The participants were followed for 4 more weeks (till Week 8) without stimulation for efficacy/safety assessment. During the 4-week trial, all participants were required to take 10-20 mg of escitalopram daily. The primary efficacy endpoint was the change in HAMD-17 scores from baseline to Week 4 (with 20 treatment sessions completed). Resting-state electroencephalography (EEG) was collected with a 64-channel EEG system (Brain Products, Germany) at baseline and the Week 4 follow-up. The chi-square test, Fisher's exact test, independent-sample t-test, or Wilcoxon rank-sum test were used, as appropriate, to compare the differences in variables between groups. The effect of the intervention on the HAMD-17 score was also evaluated with linear mixed modeling (LMM) as sensitivity analysis. The correlation between the mean reduction in EEG and the mean reduction in the HAMD-17 total score was evaluated using Spearman correlation analysis. RESULTS A total of 66 patients (mean [SD] age, 28.4 [8.18] years; 52 [78.8 %] female) were randomized, and 57 patients completed the study. Significant differences were found in the reductions in the HAMD-17 scores at Week 4 (t = 3.44, P = 0.001). Response rates at Week 4 were significantly higher in the active tACS group than in the sham tACS group (22 out of 33 patients [66.7 %] versus 11 out of 33 [33.3 %], P = 0.007). In the active tACS group, a correlation between the mean change in alpha power and HAMD-17 scores at Week 4 was found (r = 2.38, P = 0.024), and the mean change in alpha power was significantly bigger for responders (Z = 2.46, P = 0.014). No serious adverse events were observed in this trial. CONCLUSION The additional antidepressant effect of tACS is significant, and the combination of tACS with antidepressants is a feasible and effective approach for the treatment of MDD. The antidepressant mechanism of tACS may be the reduction in alpha power in the left frontal lobe. Future research directions may include exploring more appropriate treatment parameters of tACS.
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Affiliation(s)
- Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Dan Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Fukang Ye
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Rui Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zizhao Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ruinan Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xiaoya Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jing Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xueshan Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jia Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Fischer QS, Kalikulov D, Viana DI Prisco G, Williams CA, Baldwin PR, Friedlander MJ. SYNAPTIC PLASTICITY IN THE INJURED BRAIN DEPENDS ON THE TEMPORAL PATTERN OF STIMULATION. J Neurotrauma 2024. [PMID: 38818799 DOI: 10.1089/neu.2024.0129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024] Open
Abstract
Neurostimulation protocols are increasingly used as therapeutic interventions, including for brain injury. In addition to the direct activation of neurons, these stimulation protocols are also likely to have downstream effects on those neurons' synaptic outputs. It is well known that alterations in the strength of synaptic connections (long-term potentiation, LTP; long-term depression, LTD) are sensitive to the frequency of stimulation used for induction, however little is known about the contribution of the temporal pattern of stimulation to the downstream synaptic plasticity that may be induced by neurostimulation in the injured brain. We explored interactions of the temporal pattern and frequency of neurostimulation in the normal cerebral cortex and after mild traumatic brain injury (mTBI), to inform therapies to strengthen or weaken neural circuits in injured brains, as well as to better understand the role of these factors in normal brain plasticity. Whole-cell (WC) patch-clamp recordings of evoked postsynaptic potentials (PSPs) in individual neurons, as well as field potential (FP) recordings, were made from layer 2/3 of visual cortex in response to stimulation of layer 4, in acute slices from control (naïve), sham operated, and mTBI rats. We compared synaptic plasticity induced by different stimulation protocols, each consisting of a specific frequency (1 Hz, 10 Hz, or 100 Hz), continuity (continuous or discontinuous), and temporal pattern (perfectly regular, slightly irregular, or highly irregular). At the individual neuron level, dramatic differences in plasticity outcome occurred when the highly irregular stimulation protocol was used at 1 Hz or 10 Hz, producing an overall LTD in controls and shams, but a robust overall LTP after mTBI. Consistent with the individual neuron results, the plasticity outcomes for simultaneous FP recordings were similar, indicative of our results generalizing to a larger scale synaptic network than can be sampled by individual WC recordings alone. In addition to the differences in plasticity outcome between control (naïve or sham) and injured brains, the dynamics of the changes in synaptic responses that developed during stimulation were predictive of the final plasticity outcome. Our results demonstrate that the temporal pattern of stimulation plays a role in the polarity and magnitude of synaptic plasticity induced in the cerebral cortex while highlighting differences between normal and injured brain responses. Moreover, these results may be useful for optimization of neurostimulation therapies to treat mTBI and other brain disorders, in addition to providing new insights into downstream plasticity signaling mechanisms in the normal brain.
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Affiliation(s)
- Quentin S Fischer
- Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States
- Baylor College of Medicine Department of Neuroscience, Houston, Texas, United States;
| | - Djanenkhodja Kalikulov
- Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States
- Baylor College of Medicine Department of Neuroscience, Houston, Texas, United States;
| | | | - Carrie A Williams
- Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States;
| | - Philip R Baldwin
- Baylor College of Medicine Department of Neuroscience, Houston, Texas, United States;
| | - Michael J Friedlander
- Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States
- Baylor College of Medicine Department of Neuroscience, Houston, Texas, United States;
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Li D, Liu R, Ye F, Li R, Li X, Liu J, Zhang X, Zhou J, Wang G. Modulation of brain function and antidepressant effects by transcranial alternating current stimulation in patients with major depressive disorder: Evidence from ERP. J Psychiatr Res 2024; 176:1-8. [PMID: 38824877 DOI: 10.1016/j.jpsychires.2024.05.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/30/2024] [Accepted: 05/29/2024] [Indexed: 06/04/2024]
Abstract
Transcranial alternating current stimulation (tACS) is an emerging non-invasive neuromodulation treatment for major depressive disorder (MDD), but its mechanism remains unclear. Therefore, we evaluated the effects of tACS on event-related potentials (ERP) based on a randomized controlled study. All patients were divided into two groups to receive either 20 sessions 77.5Hz-tACS or 20 sessions of sham stimulation during 4 weeks. The Hamilton Depression Rating Scale for Depression -17 item (HAMD-17) and ERP during face-word Stroop task were recorded before and after the treatment (the fourth weekend). Our findings indicate a significant alleviation of depressive symptoms after tACS. For the behavioral performance, sham group showed a significant decrease in reaction time to the sad incongruent condition and an increase in accuracy to the happy condition. The active group showed an increase in accuracy to the incongruent condition. ERP analysis revealed that tACS significantly shortened the latency of P2 to incongruent condition, decreased the amplitude and prolonged the latency of N2 to negative condition. These ERP alterations suggest a potential rectification of negative bias and enhancement of cognitive functioning in patients with MDD, offering insights into the antidepressant mechanisms of tACS.
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Affiliation(s)
- Dan Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Rui Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Fukang Ye
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ruinan Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xiaoya Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jing Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xueshan Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jingjing Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Zhang M, Li W, Ye Y, Hu Z, Zhou Y, Ning Y. Efficacy and safety of intermittent theta burst stimulation on adolescents and young adults with major depressive disorder: A randomized, double blinded, controlled trial. J Affect Disord 2024; 350:214-221. [PMID: 38199406 DOI: 10.1016/j.jad.2024.01.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/02/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024]
Abstract
BACKGROUND Intermittent theta burst stimulation (iTBS) is a newer form of Repetitive Transcranial Magnetic Stimulation (rTMS) for depression. However, its efficacy and safety in adolescents and young adults with major depressive disorder (AYA-MDD) have not been well studied, especially when applied with a strategy that combines neuronavigation targeting and accelerated iTBS. METHODS In this study, ninety patients were randomly assigned to twice-daily (two 600-pulse sessions spaced out by 10 min, n = 31), once-daily (one 600-pulse session, n = 29) or sham iTBS (no pulses, n = 30) groups for 10 treatment days. The primary outcome measure was the change in depression scores on the Hamilton Rating Scale for Depression (HAMD-17). Other clinical symptoms, such as anxiety, were also evaluated. RESULTS Linear mixed model analysis found that scores on the HAMD-17 and its factors improved in all three groups, but these improvements did not significantly differ among groups. Other clinical symptoms such as anxiety also improved. Response and remission rates were relatively low and did not differ among groups at any time point. The most common adverse event was headache, and the proportion of participants who reported headache in the twice-daily and once-daily groups was significantly higher than that in the sham group. CONCLUSIONS The current results indicated that twice-daily and once-daily iTBS under neuronavigation are safe and well tolerated in AYA-MDD, but the overall efficacy was not superior to that of sham treatment. We speculated several possible reasons such as the high placebo response of the young population, inadequate iTBS pulses and so on.
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Affiliation(s)
- Min Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Weicheng Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanxiang Ye
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Zhibo Hu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanling Zhou
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
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Zhang HY, Hou TT, Jin ZH, Zhang T, Wang YH, Cheng ZH, Liu YH, Fang JP, Yan HJ, Zhen Y, An X, Du J, Chen KK, Li ZZ, Li Q, Wen QP, Fang BY. Transcranial alternating current stimulation improves quality of life in Parkinson's disease: study protocol for a randomized, double-blind, controlled trial. Trials 2024; 25:200. [PMID: 38509589 PMCID: PMC10953283 DOI: 10.1186/s13063-024-08045-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 03/08/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND The neural cells in the brains of patients with Parkinson's disease (PWP) display aberrant synchronized oscillatory activity within the beta frequency range. Additionally, enhanced gamma oscillations may serve as a compensatory mechanism for motor inhibition mediated by beta activity and also reinstate plasticity in the primary motor cortex affected by Parkinson's disease. Transcranial alternating current stimulation (tACS) can synchronize endogenous oscillations with exogenous rhythms, thereby modulating cortical activity. The objective of this study is to investigate whether the addition of tACS to multidisciplinary intensive rehabilitation treatment (MIRT) can improve symptoms of PWP so as to enhance the quality of life in individuals with Parkinson's disease based on the central-peripheral-central theory. METHODS The present study was a randomized, double-blind trial that enrolled 60 individuals with Parkinson's disease aged between 45 and 70 years, who had Hoehn-Yahr scale scores ranging from 1 to 3. Participants were randomly assigned in a 1:1 ratio to either the tACS + MIRT group or the sham-tACS + MIRT group. The trial consisted of a two-week double-blind treatment period followed by a 24-week follow-up period, resulting in a total duration of twenty-six weeks. The primary outcome measured the change in PDQ-39 scores from baseline (T0) to 4 weeks (T2), 12 weeks (T3), and 24 weeks (T4) after completion of the intervention. The secondary outcome assessed changes in MDS-UPDRS III scores at T0, the end of intervention (T1), T2, T3, and T4. Additional clinical assessments and mechanistic studies were conducted as tertiary outcomes. DISCUSSION The objective of this study is to demonstrate that tACS can enhance overall functionality and improve quality of life in PWP, based on the framework of MIRT. Additionally, it seeks to establish a potential correlation between these therapeutic effects and neuroplasticity alterations in relevant brain regions. The efficacy of tACS will be assessed during the follow-up period in order to optimize neuroplasticity and enhance its potential impact on rehabilitation efficiency for PWP. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR2300071969. Registered on 30 May 2023.
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Affiliation(s)
- Hong-Yu Zhang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
- Capital Medical University, Beijing, China
| | - Ting-Ting Hou
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
- Capital Medical University, Beijing, China
| | - Zhao-Hui Jin
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Tian Zhang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
- Capital Medical University, Beijing, China
| | - Yi-Heng Wang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
- Capital Medical University, Beijing, China
| | - Zi-Hao Cheng
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
- Capital Medical University, Beijing, China
| | - Yong-Hong Liu
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Jin-Ping Fang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Hong-Jiao Yan
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Yi Zhen
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Xia An
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Jia Du
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Ke-Ke Chen
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Zhen-Zhen Li
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Qing Li
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Qi-Ping Wen
- Radiology Department, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China
| | - Bo-Yan Fang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Badachu, Xixiazhuang, Shijingshan District, Bejing, 100144, China.
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10
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Wang J, Zhao W, Wang H, Leng H, Xue Q, Peng M, Min B, Jin X, Tan L, Gao K, Wang H. Brain-wide activation involved in 15 mA transcranial alternating current stimulation in patients with first-episode major depressive disorder. Gen Psychiatr 2024; 37:e101338. [PMID: 38476648 PMCID: PMC10928782 DOI: 10.1136/gpsych-2023-101338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 01/31/2024] [Indexed: 03/14/2024] Open
Abstract
Background Although 15 mA transcranial alternating current stimulation (tACS) has a therapeutic effect on depression, the activations of brain structures in humans accounting for this tACS configuration remain largely unknown. Aims To investigate which intracranial brain structures are engaged in the tACS at 77.5 Hz and 15 mA, delivered via the forehead and the mastoid electrodes in the human brain. Methods Actual human head models were built using the magnetic resonance imagings of eight outpatient volunteers with drug-naïve, first-episode major depressive disorder and then used to perform the electric field distributions with SimNIBS software. Results The electric field distributions of the sagittal, coronal and axial planes showed that the bilateral frontal lobes, bilateral temporal lobes, hippocampus, cingulate, hypothalamus, thalamus, amygdala, cerebellum and brainstem were visibly stimulated by the 15 mA tACS procedure. Conclusions Brain-wide activation, including the cortex, subcortical structures, cerebellum and brainstem, is involved in the 15 mA tACS intervention for first-episode major depressive disorder. Our results indicate that the simultaneous involvement of multiple brain regions is a possible mechanism for its effectiveness in reducing depressive symptoms.
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Affiliation(s)
- Jie Wang
- Songjiang Hospital and Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Neuroscience and Brain Diseases, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China
| | - Wenfeng Zhao
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Huang Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Haixia Leng
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Qing Xue
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Mao Peng
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Baoquan Min
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiukun Jin
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Liucen Tan
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Keming Gao
- Electroconvulsive Therapy, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
- Department of Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Hongxing Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Institute of Sleep and Consciousness Disorders, Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
- Institute of Special Medical Sciences, School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi, China
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11
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Wischnewski M, Tran H, Zhao Z, Shirinpour S, Haigh ZJ, Rotteveel J, Perera ND, Alekseichuk I, Zimmermann J, Opitz A. Induced neural phase precession through exogenous electric fields. Nat Commun 2024; 15:1687. [PMID: 38402188 PMCID: PMC10894208 DOI: 10.1038/s41467-024-45898-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 02/06/2024] [Indexed: 02/26/2024] Open
Abstract
The gradual shifting of preferred neural spiking relative to local field potentials (LFPs), known as phase precession, plays a prominent role in neural coding. Correlations between the phase precession and behavior have been observed throughout various brain regions. As such, phase precession is suggested to be a global neural mechanism that promotes local neuroplasticity. However, causal evidence and neuroplastic mechanisms of phase precession are lacking so far. Here we show a causal link between LFP dynamics and phase precession. In three experiments, we modulated LFPs in humans, a non-human primate, and computational models using alternating current stimulation. We show that continuous stimulation of motor cortex oscillations in humans lead to a gradual phase shift of maximal corticospinal excitability by ~90°. Further, exogenous alternating current stimulation induced phase precession in a subset of entrained neurons (~30%) in the non-human primate. Multiscale modeling of realistic neural circuits suggests that alternating current stimulation-induced phase precession is driven by NMDA-mediated synaptic plasticity. Altogether, the three experiments provide mechanistic and causal evidence for phase precession as a global neocortical process. Alternating current-induced phase precession and consequently synaptic plasticity is crucial for the development of novel therapeutic neuromodulation methods.
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Affiliation(s)
- Miles Wischnewski
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
| | - Harry Tran
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Zhihe Zhao
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Sina Shirinpour
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Zachary J Haigh
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Jonna Rotteveel
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Nipun D Perera
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Ivan Alekseichuk
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Jan Zimmermann
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Alexander Opitz
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
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12
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Iftikhar T, Iftikhar N, Chi G, Qiu W, Xie Y, Liang Z, Huang C, Su L. Unlocking the future of brain research: MOFs, TMOs, and MOFs/TMOs for electrochemical NTMs detection and analysis. Talanta 2024; 267:125146. [PMID: 37688896 DOI: 10.1016/j.talanta.2023.125146] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/11/2023]
Abstract
The central nervous system relies heavily on neurotransmitters (NTMs), and NTM imbalances have been linked to a wide range of neurological conditions. Thus, the development of reliable detection techniques is essential for advancing brain studies. This review offers a comprehensive analysis of metal-organic frameworks (MOFs), transition metal oxides (TMOs), and MOFs-derived TMOs (MOFs/TMOs) as materials for electrochemical (EC) sensors targeting the detection of key NTMs, specifically dopamine (DA), epinephrine (EP), and serotonin (SR). The unique properties and diverse families of MOFs and TMOs, along with their nanostructured hybrids, are discussed in the context of EC sensing. The review also addresses the challenges in detecting NTMs and proposes a systematic approach to tackle these obstacles. Despite the vast amount of research on MOFs and TMOs-based EC sensors for DA detection, the review highlights the gaps in the literature for MOFs/TMOs-based EC sensors specifically for EP and SR detection, as well as the limited research on microneedles (MNs)-based EC sensors modified with MOFs, TMOs, and MOFs/TMOs for NTMs detection. This review serves as a foundation to encourage researchers to further explore the potential applications of MOFs, TMOs, and MOFs/TMOs-based EC sensors in the context of neurological disorders and other health conditions related to NTMs imbalances.
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Affiliation(s)
- Tayyaba Iftikhar
- School of Biomedical Engineering, International Health Science Innovation Center, Shenzhen Key Laboratory of Nano-Biosensing Technology, Marshall Laboratory of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, 518055, PR China
| | - Nishwa Iftikhar
- Department of Medicine, Quaid-e-Azam Medical College, Bahawalpur, Punjab, Pakistan
| | - Guilin Chi
- School of Biomedical Engineering, International Health Science Innovation Center, Shenzhen Key Laboratory of Nano-Biosensing Technology, Marshall Laboratory of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, 518055, PR China
| | - Wenjing Qiu
- Department of Rheumatology, South China Hospital, Medical School, Shenzhen University, Shenzhen, 518116, PR China
| | - Yuanting Xie
- School of Biomedical Engineering, International Health Science Innovation Center, Shenzhen Key Laboratory of Nano-Biosensing Technology, Marshall Laboratory of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, 518055, PR China.
| | - Zhen Liang
- School of Biomedical Engineering, International Health Science Innovation Center, Shenzhen Key Laboratory of Nano-Biosensing Technology, Marshall Laboratory of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, 518055, PR China
| | - Cibo Huang
- Department of Rheumatology, South China Hospital, Medical School, Shenzhen University, Shenzhen, 518116, PR China
| | - Lei Su
- School of Biomedical Engineering, International Health Science Innovation Center, Shenzhen Key Laboratory of Nano-Biosensing Technology, Marshall Laboratory of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, 518055, PR China.
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13
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Shan Y, Wang H, Yang Y, Wang J, Zhao W, Huang Y, Wang H, Han B, Pan N, Jin X, Fan X, Liu Y, Wang J, Wang C, Zhang H, Chen S, Liu T, Yan T, Si T, Yin L, Li X, Cosci F, Zhang X, Zhang G, Gao K, Zhao G. Evidence of a large current of transcranial alternating current stimulation directly to deep brain regions. Mol Psychiatry 2023; 28:5402-5410. [PMID: 37468529 DOI: 10.1038/s41380-023-02150-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/31/2023] [Accepted: 06/16/2023] [Indexed: 07/21/2023]
Abstract
Deep brain regions such as hippocampus, insula, and amygdala are involved in neuropsychiatric disorders, including chronic insomnia and depression. Our recent reports showed that transcranial alternating current stimulation (tACS) with a current of 15 mA and a frequency of 77.5 Hz, delivered through a montage of the forehead and both mastoids was safe and effective in intervening chronic insomnia and depression over 8 weeks. However, there is no physical evidence to support whether a large alternating current of 15 mA in tACS can send electrical currents to deep brain tissue in awake humans. Here, we directly recorded local field potentials (LFPs) in the hippocampus, insula and amygdala at different current strengths (1 to 15 mA) in 11 adult patients with drug-resistant epilepsy implanted with stereoelectroencephalography (SEEG) electrodes who received tACS at 77.5 Hz from 1 mA to 15 mA at 77.5 Hz for five minutes at each current for a total of 40 min. For the current of 15 mA at 77.5 Hz, additional 55 min were applied to add up a total of 60 min. Linear regression analysis revealed that the average LFPs for the remaining contacts on both sides of the hippocampus, insula, and amygdala of each patient were statistically associated with the given currents in each patient (p < 0.05-0.01), except for the left insula of one subject (p = 0.053). Alternating currents greater than 7 mA were required to produce significant differences in LFPs in the three brain regions compared to LFPs at 0 mA (p < 0.05). The differences remained significant after adjusting for multiple comparisons (p < 0.05). Our study provides direct evidence that the specific tACS procedures are capable of delivering electrical currents to deep brain tissues, opening a realistic avenue for modulating or treating neuropsychiatric disorders associated with hippocampus, insula, and amygdala.
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Affiliation(s)
- Yongzhi Shan
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Hongxing Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China.
- Beijing Institute of Brain Disorders, Beijing, 100069, China.
| | - Yanfeng Yang
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Jiahao Wang
- Beijing Key Laboratory of Bioelectromagnetism, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wenfeng Zhao
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
| | - Yuda Huang
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Huang Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
| | - Bing Han
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
| | - Na Pan
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
| | - Xiukun Jin
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
| | - Xiaotong Fan
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Yunyun Liu
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Jun Wang
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Changming Wang
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Huaqiang Zhang
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Sichang Chen
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Ting Liu
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China
| | - Tianyi Yan
- School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Tianmei Si
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders, Beijing, 100191, China
| | - Lu Yin
- Medical Research & Biometrics Centre, Fuwai Hospital, National Centre for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 102300, China
| | - Xinmin Li
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Albert, T6G 2B7, Canada
| | - Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, 50135, Italy.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guanghao Zhang
- Beijing Key Laboratory of Bioelectromagnetism, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Keming Gao
- Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA; Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA.
| | - Guoguang Zhao
- Department of Neurosurgery, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053, China.
- China International Neuroscience Institute (CHINA-INI), Beijing, 100053, China.
- Beijing Municipal Geriatric Medical Research Center, Beijing, 100053, China.
- Center of Epilepsy, Beijing Institute of Brain Disorders, Beijing, 100069, China.
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14
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Yadav VK, Choudhary N, Gacem A, Verma RK, Abul Hasan M, Tarique Imam M, Almalki ZS, Yadav KK, Park HK, Ghosh T, Kumar P, Patel A, Kalasariya H, Jeon BH, Ali AlMubarak H. Deeper insight into ferroptosis: association with Alzheimer's, Parkinson's disease, and brain tumors and their possible treatment by nanomaterials induced ferroptosis. Redox Rep 2023; 28:2269331. [PMID: 38010378 PMCID: PMC11001282 DOI: 10.1080/13510002.2023.2269331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023] Open
Abstract
Ferroptosis is an emerging and novel type of iron-dependent programmed cell death which is mainly caused by the excessive deposition of free intracellular iron in the brain cells. This deposited free iron exerts a ferroptosis pathway, resulting in lipid peroxidation (LiPr). There are mainly three ferroptosis pathways viz. iron metabolism-mediated cysteine/glutamate, and LiPr-mediated. Iron is required by the brain as a redox metal for several physiological activities. Due to the iron homeostasis balance disruption, the brain gets adversely affected which further causes neurodegenerative diseases (NDDs) like Parkinson's and Alzheimer's disease, strokes, and brain tumors like glioblastoma (GBS), and glioma. Nanotechnology has played an important role in the prevention and treatment of these NDDs. A synergistic effect of nanomaterials and ferroptosis could prove to be an effective and efficient approach in the field of nanomedicine. In the current review, the authors have highlighted all the latest research in the field of ferroptosis, specifically emphasizing on the role of major molecular key players and various mechanisms involved in the ferroptosis pathway. Moreover, here the authors have also addressed the correlation of ferroptosis with the pathophysiology of NDDs and theragnostic effect of ferroptosis and nanomaterials for the prevention and treatment of NDDs.
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Affiliation(s)
- Virendra Kumar Yadav
- Department of Life Sciences, Hemchandracharya North Gujarat University, Patan, India
| | - Nisha Choudhary
- Department of Life Sciences, Hemchandracharya North Gujarat University, Patan, India
| | - Amel Gacem
- Department of Physics, Faculty of Sciences, University 20 Août 1955, Skikda, Algeria
| | - Rakesh Kumar Verma
- Department of Biosciences, School of Liberal Arts & Sciences, Mody University of Science and Technology, Sikar, India
| | - Mohd Abul Hasan
- Civil Engineering Department, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia (KSA)
| | - Mohammad Tarique Imam
- Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia
| | - Ziyad Saeed Almalki
- Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia
| | - Krishna Kumar Yadav
- Faculty of Science and Technology, Madhyanchal Professional University, Bhopal, India
- Environmental and Atmospheric Sciences Research Group, Scientific Research Center, Al-Ayen University, Nasiriyah, Iraq
| | - Hyun-Kyung Park
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Tathagata Ghosh
- Department of Arts, School of Liberal Arts & Sciences, Mody University of Science and Technology, Sikar, India
| | - Pankaj Kumar
- Department of Environmental Science, Parul Institute of Applied Sciences, Parul University, Vadodara, India
| | - Ashish Patel
- Department of Life Sciences, Hemchandracharya North Gujarat University, Patan, India
| | - Haresh Kalasariya
- Centre for Natural Products Discovery, School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK
| | - Byong-Hun Jeon
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, Republic of Korea
| | - Hassan Ali AlMubarak
- Division of Radiology, Department of Medicine, College of Medicine and Surgery, King Khalid University (KKU), Abha, Kingdom of Saudi Arabia
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15
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Chen Y, Wu C, Lyu D, Wang F, Huang Q, Yang W, Huang H, Zhang M, Zhou N, Wei Z, Shi S, Kong S, Qian N, Chen S, Li C, Fang Y, Davis J, Smith R, Jin H, Hong W. Comparison of 60-minute vs 30-minute transcranial direct current stimulation (tDCS) in major depressive disorder: Effects on depression suicidal ideation and anxiety. Psychiatry Res 2023; 330:115556. [PMID: 37951032 DOI: 10.1016/j.psychres.2023.115556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/19/2023] [Accepted: 10/19/2023] [Indexed: 11/13/2023]
Abstract
We investigated whether changes through doubling the duration of each tDCS session would increase efficacy of tDCS for depression. tDCS was applied for 10 sessions, followed by two additional weekly sessions. 63 patients with MDD underwent randomization, with 22 being assigned to 60-min/d group, 25 to 30 min/d group, and 16 to sham group. HAMD-17 reductive ratios at week 2 and 4 were of no significant differences among treatment groups. 60 min group had a greater decrease in anxiety compared to 30 min group and sham group based on HAMA at 4 weeks but only in the completer analysis, not in ITT analysis.
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Affiliation(s)
- Yiming Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenglin Wu
- Shanghai Pudong Mental Health Center, Tongji University, Shanghai, China
| | - Dongbin Lyu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fan Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qinte Huang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Haijing Huang
- Shenzhen Institute of advanced technology, Chinese academy of Science, Shenzhen, China
| | - Mengke Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ni Zhou
- Division of Mood Disorders, Hongkou District Mental Health Center, Shanghai, China; Clinical Research Center for Mental Health, School of Medicine, Shanghai University, Shanghai, China
| | - Zheyi Wei
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuxiang Shi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuqi Kong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nuoshi Qian
- Shanghai Changning Mental Health Center, Shanghai, China
| | - Shentse Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunbo Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China; Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China
| | - Yiru Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China; Department of Psychiatry & Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Hunan Second People's Hospital (Hunan Brain Hospital), Hunan, China
| | - John Davis
- Department of Psychiatry, College of Medicine, University of Illinois at Chicago, Chicago, IL, USA; Johns Hopkins University School of Medicine, Baltimore, MD, USA; Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Robert Smith
- Shanghai Jiaotong University School of Medicine, Shanghai, China; Department of Psychiatry, New York University School of Medicine, New York, NY, USA; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
| | - Hua Jin
- Department of Psychiatry, University of California San Diego, San Diego, California, USA; VA San Diego Healthcare System, San Diego, California, USA.
| | - Wu Hong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.
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16
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Zhao W, Wang H, Leng H, Xue Q, Peng M, Jin X, Tan L, Pan N, Wang X, Wang J, Gao K, Zhang X, Wang H. Acute effect of twice-daily 15 mA transcranial alternating current stimulation on treatment-resistant depression: a case series study. Gen Psychiatr 2023; 36:e101278. [PMID: 38028814 PMCID: PMC10649359 DOI: 10.1136/gpsych-2023-101278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/07/2023] [Indexed: 12/01/2023] Open
Affiliation(s)
- Wenfeng Zhao
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Huang Wang
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Haixia Leng
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Qing Xue
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Mao Peng
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Xiukun Jin
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Liucen Tan
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Na Pan
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Xuedi Wang
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Jie Wang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Keming Gao
- Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Chinese Academy of Sciences, Beijing, China
| | - Hongxing Wang
- Department of Neurology, Beijing Psychosomatic Disease Consultation Center, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
- Beijing Institute for Brain Disorders, Beijing, China
- Institute of Special Medical Sciences, School of Forensic Medicine, Shanxi Medical University, Taiyuan, China
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17
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Li M, Jiang Y, Zhang Y, Zhu H. Medical image analysis using deep learning algorithms. Front Public Health 2023; 11:1273253. [PMID: 38026291 PMCID: PMC10662291 DOI: 10.3389/fpubh.2023.1273253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/05/2023] [Indexed: 12/01/2023] Open
Abstract
In the field of medical image analysis within deep learning (DL), the importance of employing advanced DL techniques cannot be overstated. DL has achieved impressive results in various areas, making it particularly noteworthy for medical image analysis in healthcare. The integration of DL with medical image analysis enables real-time analysis of vast and intricate datasets, yielding insights that significantly enhance healthcare outcomes and operational efficiency in the industry. This extensive review of existing literature conducts a thorough examination of the most recent deep learning (DL) approaches designed to address the difficulties faced in medical healthcare, particularly focusing on the use of deep learning algorithms in medical image analysis. Falling all the investigated papers into five different categories in terms of their techniques, we have assessed them according to some critical parameters. Through a systematic categorization of state-of-the-art DL techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Long Short-term Memory (LSTM) models, and hybrid models, this study explores their underlying principles, advantages, limitations, methodologies, simulation environments, and datasets. Based on our results, Python was the most frequent programming language used for implementing the proposed methods in the investigated papers. Notably, the majority of the scrutinized papers were published in 2021, underscoring the contemporaneous nature of the research. Moreover, this review accentuates the forefront advancements in DL techniques and their practical applications within the realm of medical image analysis, while simultaneously addressing the challenges that hinder the widespread implementation of DL in image analysis within the medical healthcare domains. These discerned insights serve as compelling impetuses for future studies aimed at the progressive advancement of image analysis in medical healthcare research. The evaluation metrics employed across the reviewed articles encompass a broad spectrum of features, encompassing accuracy, sensitivity, specificity, F-score, robustness, computational complexity, and generalizability.
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Affiliation(s)
- Mengfang Li
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yuanyuan Jiang
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanzhou Zhang
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Haisheng Zhu
- Department of Cardiovascular Medicine, Wencheng People’s Hospital, Wencheng, China
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18
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Umer M, Aljrees T, Karamti H, Ishaq A, Alsubai S, Omar M, Bashir AK, Ashraf I. Heart failure patients monitoring using IoT-based remote monitoring system. Sci Rep 2023; 13:19213. [PMID: 37932424 PMCID: PMC10628138 DOI: 10.1038/s41598-023-46322-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 10/30/2023] [Indexed: 11/08/2023] Open
Abstract
Intelligent health monitoring systems are becoming more important and popular as technology advances. Nowadays, online services are replacing physical infrastructure in several domains including medical services as well. The COVID-19 pandemic has also changed the way medical services are delivered. Intelligent appliances, smart homes, and smart medical systems are some of the emerging concepts. The Internet of Things (IoT) has changed the way communication occurs alongside data collection sources aided by smart sensors. It also has deployed artificial intelligence (AI) methods for better decision-making provided by efficient data collection, storage, retrieval, and data management. This research employs health monitoring systems for heart patients using IoT and AI-based solutions. Activities of heart patients are monitored and reported using the IoT system. For heart disease prediction, an ensemble model ET-CNN is presented which provides an accuracy score of 0.9524. The investigative data related to this system is very encouraging in real-time reporting and classifying heart patients with great accuracy.
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Affiliation(s)
- Muhammad Umer
- Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan
| | - Turki Aljrees
- Department College of Computer Science and Engineering, University of Hafr Al-Batin, 39524, Hafar Al-Batin, Saudi Arabia
| | - Hanen Karamti
- Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, 11671, Riyadh, Saudi Arabia
| | - Abid Ishaq
- Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan
| | - Shtwai Alsubai
- Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, P.O. Box 151, 11942, Al-Kharj, Saudi Arabia
| | - Marwan Omar
- Information Technology and Management, Illinois Institute of Technology, Chicago, USA
| | - Ali Kashif Bashir
- Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK.
- Woxsen School of Business, Woxsen University, Hyderabad, 502 345, India.
- Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
| | - Imran Ashraf
- Information and Communication Engineering, Yeungnam University, Gyeongsan, 38541, Korea.
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19
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Wang T, Yan S, Lu J. The effects of noninvasive brain stimulation on cognitive function in patients with mild cognitive impairment and Alzheimer's disease using resting-state functional magnetic resonance imaging: A systematic review and meta-analysis. CNS Neurosci Ther 2023; 29:3160-3172. [PMID: 37349974 PMCID: PMC10580344 DOI: 10.1111/cns.14314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/08/2023] [Accepted: 06/06/2023] [Indexed: 06/24/2023] Open
Abstract
OBJECTIVE The aim of this systematic review and meta-analysis was to evaluate the efficacy of noninvasive brain stimulation (NIBS) on cognition using functional magnetic resonance imaging (fMRI) in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD), thus providing the neuroimaging mechanism of cognitive intervention. METHODS English articles published up to April 30, 2023 were searched in the PubMed, Web of Science, Embase, and Cochrane Library databases. We included randomized controlled trials where resting-state fMRI was used to observe the effect of NIBS in patients with MCI or AD. RevMan software was used to analyze the continuous variables, and SDM-PSI software was used to perform an fMRI data analysis. RESULTS A total of 17 studies comprising 258 patients in the treatment group and 256 in the control group were included. After NIBS, MCI patients in the treatment group showed hyperactivation in the right precuneus and decreased activity in the left cuneus and right supplementary motor area. In contrast, patients in the control group showed decreased activity in the right middle frontal gyrus and no hyperactivation. The clinical cognitive scores in MCI patients were significantly improved by NIBS, while not in AD. Some evidence regarding the modulation of NIBS in resting-state brain activity and functional brain networks in patients with AD was found. CONCLUSIONS NIBS could improve cognitive function in patients with MCI and AD. fMRI evaluations could be added to evaluate the contribution of specific NIBS treatment therapeutic effectiveness.
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Affiliation(s)
- Tao Wang
- Department of Radiology and Nuclear Medicine, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain InformaticsBeijingChina
- Key Laboratory of Neurodegenerative DiseasesMinistry of EducationBeijingChina
| | - Shaozhen Yan
- Department of Radiology and Nuclear Medicine, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain InformaticsBeijingChina
- Key Laboratory of Neurodegenerative DiseasesMinistry of EducationBeijingChina
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain InformaticsBeijingChina
- Key Laboratory of Neurodegenerative DiseasesMinistry of EducationBeijingChina
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20
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Qin ZJ, Huang SQ, Lan XJ, Shi ZM, Huang XB, Ungvari GS, Jackson T, Zheng W, Xiang YT. Bilateral theta burst stimulation for patients with acute unipolar or bipolar depressive episodes: A systematic review of randomized controlled studies. J Affect Disord 2023; 340:575-582. [PMID: 37579881 DOI: 10.1016/j.jad.2023.08.065] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 08/03/2023] [Accepted: 08/11/2023] [Indexed: 08/16/2023]
Abstract
OBJECTIVE This meta-analysis of randomized controlled trials (RCTs) evaluated the overall efficacy and safety of bilateral theta-burst stimulation (TBS) as an intervention for patients with mood disorders. METHODS A systematic search (up to December 7, 2022) of RCTs was conducted to address the study aims. A random-effects meta-analysis was performed by including study-defined responses and remission as primary outcomes. RESULTS Analyses included six RCTs comprising 285 participants with major depressive disorder (MDD) (n = 233) or a depressive episode in the course of bipolar disorder (BD) (n = 52) who had undergone active bilateral TBS (n = 142) versus sham stimulation (n = 143). Active bilateral TBS outperformed sham stimulation with respect to study-defined improvements (55.1 % versus 20.3 %, 4 RCTs, n = 152, 95%CI: 1.63 to 4.39, P < 0.0001; I2 = 0 %) and remission rates (37.2 % versus 14.3 %, 2 RCTs, n = 85, 95%CI: 1.13 to 5.95, P = 0.02; I2 = 0 %) in MDD patients but not those with bipolar or unipolar mixed depression. Superiority of active bilateral TBS over sham stimulation was confirmed for improvements in depressive symptoms at post-bilateral TBS assessments and 8-week follow-ups in patients with either MDD or mixed depression (all P < 0.05). Discontinuation rates due to any reason and adverse events (i.e., headache, dizziness) were similar between TBS and sham stimulation groups with MDD or mixed depression (all P > 0.05). CONCLUSION Bilateral TBS targeting the dorsolateral prefrontal cortex (DLPFC) appears to be a well-tolerated form of repetitive transcranial magnetic stimulation (rTMS) that has substantial antidepressant effects, particularly in patients with MDD. Effects of bilateral TBS on bipolar and unipolar mixed depression should be further investigated.
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Affiliation(s)
- Zhen-Juan Qin
- The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Shan-Qing Huang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xian-Jun Lan
- The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Zhan-Ming Shi
- Chongqing Jiangbei Mental Health Center, Chongqing, China
| | - Xing-Bing Huang
- The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Gabor S Ungvari
- University of Notre Dame Australia, Fremantle, Australia; Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao SAR, China
| | - Wei Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
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21
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Wischnewski M, Tran H, Zhao Z, Shirinpour S, Haigh Z, Rotteveel J, Perera N, Alekseichuk I, Zimmermann J, Opitz A. Induced neural phase precession through exogeneous electric fields. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.31.535073. [PMID: 37034780 PMCID: PMC10081336 DOI: 10.1101/2023.03.31.535073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/20/2023]
Abstract
The gradual shifting of preferred neural spiking relative to local field potentials (LFPs), known as phase precession, plays a prominent role in neural coding. Correlations between the phase precession and behavior have been observed throughout various brain regions. As such, phase precession is suggested to be a global neural mechanism that promotes local neuroplasticity. However, causal evidence and neuroplastic mechanisms of phase precession are lacking so far. Here we show a causal link between LFP dynamics and phase precession. In three experiments, we modulated LFPs in humans, a non-human primate, and computational models using alternating current stimulation. We show that continuous stimulation of motor cortex oscillations in humans lead to a gradual phase shift of maximal corticospinal excitability by ~90°. Further, exogenous alternating current stimulation induced phase precession in a subset of entrained neurons (~30%) in the non-human primate. Multiscale modeling of realistic neural circuits suggests that alternating current stimulation-induced phase precession is driven by NMDA-mediated synaptic plasticity. Altogether, the three experiments provide mechanistic and causal evidence for phase precession as a global neocortical process. Alternating current-induced phase precession and consequently synaptic plasticity is crucial for the development of novel therapeutic neuromodulation methods.
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Affiliation(s)
- M. Wischnewski
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - H. Tran
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Z. Zhao
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - S. Shirinpour
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Z.J. Haigh
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - J. Rotteveel
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - N.D. Perera
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - I. Alekseichuk
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - J. Zimmermann
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - A. Opitz
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
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22
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Pan R, Ye S, Zhong Y, Chen Q, Cai Y. Transcranial alternating current stimulation for the treatment of major depressive disorder: from basic mechanisms toward clinical applications. Front Hum Neurosci 2023; 17:1197393. [PMID: 37731669 PMCID: PMC10507344 DOI: 10.3389/fnhum.2023.1197393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 08/22/2023] [Indexed: 09/22/2023] Open
Abstract
Non-pharmacological treatment is essential for patients with major depressive disorder (MDD) that is medication resistant or who are unable to take medications. Transcranial alternating current stimulation (tACS) is a non-invasive brain stimulation method that manipulates neural oscillations. In recent years, tACS has attracted substantial attention for its potential as an MDD treatment. This review summarizes the latest advances in tACS treatment for MDD and outlines future directions for promoting its clinical application. We first introduce the neurophysiological mechanism of tACS and its novel developments. In particular, two well-validated tACS techniques have high application potential: high-definition tACS targeting local brain oscillations and bifocal tACS modulating interarea functional connectivity. Accordingly, we summarize the underlying mechanisms of tACS modulation for MDD. We sort out the local oscillation abnormalities within the reward network and the interarea oscillatory synchronizations among multiple MDD-related networks in MDD patients, which provide potential modulation targets of tACS interventions. Furthermore, we review the latest clinical studies on tACS treatment for MDD, which were based on different modulation mechanisms and reported alleviations in MDD symptoms. Finally, we discuss the main challenges of current tACS treatments for MDD and outline future directions to improve intervention target selection, tACS implementation, and clinical validations.
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Affiliation(s)
- Ruibo Pan
- Department of Psychiatry, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shengfeng Ye
- Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China
| | - Yun Zhong
- Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China
| | - Qiaozhen Chen
- Department of Psychiatry, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Ying Cai
- Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China
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23
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Zalouli V, Rajavand H, Bayat M, Khaleghnia J, Sharifianjazi F, Jafarinazhad F, Beheshtizadeh N. Adult hippocampal neurogenesis (AHN) controls central nervous system and promotes peripheral nervous system regeneration via physical exercise. Biomed Pharmacother 2023; 165:115078. [PMID: 37390707 DOI: 10.1016/j.biopha.2023.115078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/21/2023] [Accepted: 06/23/2023] [Indexed: 07/02/2023] Open
Abstract
Physical exercise has beneficial effects on adult hippocampal neurogenesis (AHN) and cognitive processes, including learning. Although it is not known if anaerobic resistance training and high-intensity interval training, which involve alternating brief bouts of highly intense anaerobic activity with rest periods, have comparable effects on AHN. Also, while less thoroughly investigated, individual genetic diversity in the overall response to physical activity is likely to play a key role in the effects of exercise on AHN. Physical exercise has been shown to improve health on average, although the benefits may vary from person to person, perhaps due to genetic differences. Maximal aerobic capacity and metabolic health may improve significantly with aerobic exercise for some people, while the same amount of training may have little effect on others. This review discusses the AHN's capability for peripheral nervous system (PNS) regeneration and central nervous system (CNS) control via physical exercise. Exercise neurogenicity, effective genes, growth factors, and the neurotrophic factors involved in PNS regeneration and CNS control were discussed. Also, some disorders that could be affected by AHN and physical exercise are summarized.
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Affiliation(s)
- Vahideh Zalouli
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Hosnieh Rajavand
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mahdi Bayat
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran; Department of Medicine and Surgery, Physical Activity and Health Promotion, University of Tor Vergata, Rome, Italy
| | - Jalil Khaleghnia
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran; Department of Sport Sciences, Khavaran Institute of Higher Education, Mashhad, Iran
| | - Fariborz Sharifianjazi
- Department of Natural Sciences, School of Science and Technology, University of Georgia, Tbilisi 0171, Georgia
| | - Farzad Jafarinazhad
- Yeditepe University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Istanbul, Turkey.
| | - Nima Beheshtizadeh
- Regenerative Medicine Group (REMED), Universal Scientific Education and Research Network (USERN), Tehran, Iran; Department of Tissue Engineering, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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24
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Zhou Y, Xia X, Zhao X, Yang R, Wu Y, Liu J, Lyu X, Li Z, Zhang G, Du X. Efficacy and safety of Transcranial Direct Current Stimulation (tDCS) on cognitive function in chronic schizophrenia with Tardive Dyskinesia (TD): a randomized, double-blind, sham-controlled, clinical trial. BMC Psychiatry 2023; 23:623. [PMID: 37620825 PMCID: PMC10464035 DOI: 10.1186/s12888-023-05112-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 08/14/2023] [Indexed: 08/26/2023] Open
Abstract
OBJECTIVE Previous studies have shown that transcranial direct current stimulation(tDCS) led to an improvement of cognitive function in patients with schizophrenia, but rare study has explored the effect of tDCS on long-term hospitalized chronic schizophrenia with tardive dyskinesia (TD). The present research explored if cognitive function in patients with long-term hospitalized chronic schizophrenia with TD could be improved through tDCS. METHODS This study is a randomized, double-blind, sham-controlled clinical trial. Of the 52 patients, 14 dropped out, and 38 completed the experiment. Thirty-eight patients on stable treatment regimens were randomly assigned to receive active tDCS(n = 21) or sham stimulation(n = 17) on weekdays of the first, third, and fifth weeks of treatment. Patients performed the Pattern Recognition Memory (PRM) and the Intra/Extradimensional Set Shift (IED) from the Cambridge Neuropsychological Test Automated Battery (CANTAB) at baseline and the end of week 3, week 5. Clinical symptoms were also measured at the baseline and the fifth week using the Scale for the Assessment of Negative Symptoms (SANS) and the Positive and Negative Syndrome Scale (PANSS). Side effects of tDCS were assessed with an experimenter-administered open-ended questionnaire during the whole experiment. RESULTS There were no significant differences in PRM and IED performance metrics, SANS total score and PANSS total score between active and sham tDCS groups at the end of week 5 (p > 0.05). Furthermore, there was a significant difference in the adverse effects of the tingling sensation between the two groups (p < 0.05), but there was no significant difference in other side effects (p > 0.05). CONCLUSION According to these findings, no evidence supports using anodal stimulation over the left dorsolateral prefrontal cortex to improve cognitive function in patients with long-term hospitalized chronic schizophrenia with TD.
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Affiliation(s)
- Yue Zhou
- Xuzhou Medical University, Xuzhou, China
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xingzhi Xia
- Xuzhou Medical University, Xuzhou, China
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xueli Zhao
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Ruchang Yang
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
- Medical College of Soochow University, Suzhou, China
| | - Yuxuan Wu
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
- Medical College of Soochow University, Suzhou, China
| | - Junjun Liu
- Nanjing Meishan Hospital, Nanjing, China
| | - Xiaoli Lyu
- Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, Yangzhou, China
| | - Zhe Li
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Guangya Zhang
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiangdong Du
- Xuzhou Medical University, Xuzhou, China.
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China.
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25
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Agarwal N, Solanki VS, Ameta KL, Yadav VK, Gupta P, Wanale SG, Shrivastava R, Soni A, Sahoo DK, Patel A. 4-Dimensional printing: exploring current and future capabilities in biomedical and healthcare systems-a Concise review. Front Bioeng Biotechnol 2023; 11:1251425. [PMID: 37675401 PMCID: PMC10478005 DOI: 10.3389/fbioe.2023.1251425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 08/10/2023] [Indexed: 09/08/2023] Open
Abstract
4-Dimensional Printing (4DP) is the latest concept in the pharmacy and biomedical segment with enormous potential in dosage from personalization and medication designing, which adopts time as the fourth dimension, giving printed structures the flexibility to modify their morphology. It can be defined as the fabrication in morphology with the help of smart/intelligent materials like polymers that permit the final object to alter its properties, shape, or function in response to external stimuli such as heat, light, pH, and moisture. The applications of 4DP in biomedicines and healthcare are explored with a focus on tissue engineering, artificial organs, drug delivery, pharmaceutical and biomedical field, etc. In the medical treatments and pharmaceutical field 4DP is paving the way with unlimited potential applications; however, its mainstream use in healthcare and medical treatments is highly dependent on future developments and thorough research findings. Therefore, previous innovations with smart materials are likely to act as precursors of 4DP in many industries. This review highlights the most recent applications of 4DP technology and smart materials in biomedical and healthcare fields which can show a better perspective of 4DP applications in the future. However, in view of the existing limitations, major challenges of this technology must be addressed along with some suggestions for future research. We believe that the application of proper regulatory constraints with 4DP technology would pave the way for the next technological revolution in the biomedical and healthcare sectors.
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Affiliation(s)
- Neha Agarwal
- Department of Chemistry, Navyug Kanya Mahavidyalaya, University of Lucknow, Lucknow, India
| | - Vijendra Singh Solanki
- Department of Chemistry, Institute of Science and Research (ISR), IPS Academy, Indore, India
| | - Keshav Lalit Ameta
- Centre for Applied Chemistry, School of Applied Material Sciences, Central University of Gujarat, Gujarat, India
| | - Virendra Kumar Yadav
- Department of Life Sciences, Hemchandracharya North Gujarat University, Patan, India
| | - Premlata Gupta
- Department of Chemistry, Institute of Science and Research (ISR), IPS Academy, Indore, India
| | | | - Ruchi Shrivastava
- Department of Chemistry, Institute of Science and Research (ISR), IPS Academy, Indore, India
| | - Anjali Soni
- Department of Chemistry, Medicaps University, Indore, India
| | - Dipak Kumar Sahoo
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Ashish Patel
- Department of Life Sciences, Hemchandracharya North Gujarat University, Patan, India
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26
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Zakariah M, Alotaibi YA. Unipolar and Bipolar Depression Detection and Classification Based on Actigraphic Registration of Motor Activity Using Machine Learning and Uniform Manifold Approximation and Projection Methods. Diagnostics (Basel) 2023; 13:2323. [PMID: 37510067 PMCID: PMC10377958 DOI: 10.3390/diagnostics13142323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/27/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023] Open
Abstract
Modern technology frequently uses wearable sensors to monitor many aspects of human behavior. Since continuous records of heart rate and activity levels are typically gathered, the data generated by these devices have a lot of promise beyond counting the number of daily steps or calories expended. Due to the patient's inability to obtain the necessary information to understand their conditions and detect illness, such as depression, objectively, methods for evaluating various mental disorders, such as the Montgomery-Asberg depression rating scale (MADRS) and observations, currently require a significant amount of effort on the part of specialists. In this study, a novel dataset was provided, comprising sensor data gathered from depressed patients. The dataset included 32 healthy controls and 23 unipolar and bipolar depressive patients with motor activity recordings. Along with the sensor data collected over several days of continuous measurement for each patient, some demographic information was also offered. The result of the experiment showed that less than 70 of the 100 epochs of the model's training were completed. The Cohen Kappa score did not even pass 0.1 in the validation set, due to an imbalance in the class distribution, whereas in the second experiment, the majority of scores peaked in about 20 epochs, but because training continued during each epoch, it took much longer for the loss to decline before it fell below 0.1. In the second experiment, the model soon reached an accuracy of 0.991, which is as expected given the outcome of the UMAP dimensionality reduction. In the last experiment, UMAP and neural networks worked together to produce the best outcomes. They used a variety of machine learning classification algorithms, including the nearest neighbors, linear kernel SVM, Gaussian process, and random forest. This paper used the UMAP unsupervised machine learning dimensionality reduction without the neural network and showed a slightly lower score (QDA). By considering the ratings of the patient's depressive symptoms that were completed by medical specialists, it is possible to better understand the relationship between depression and motor activity.
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Affiliation(s)
- Mohammed Zakariah
- Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh P.O. Box 11442, Saudi Arabia
| | - Yousef Ajami Alotaibi
- Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh P.O. Box 11451, Saudi Arabia
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Soria C, Arroyo Y, Torres AM, Redondo MÁ, Basar C, Mateo J. Method for Classifying Schizophrenia Patients Based on Machine Learning. J Clin Med 2023; 12:4375. [PMID: 37445410 DOI: 10.3390/jcm12134375] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/21/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
Schizophrenia is a chronic and severe mental disorder that affects individuals in various ways, particularly in their ability to perceive, process, and respond to stimuli. This condition has a significant impact on a considerable number of individuals. Consequently, the study, analysis, and characterization of this pathology are of paramount importance. Electroencephalography (EEG) is frequently utilized in the diagnostic assessment of various brain disorders due to its non-intrusiveness, excellent resolution and ease of placement. However, the manual analysis of electroencephalogram (EEG) recordings can be a complex and time-consuming task for healthcare professionals. Therefore, the automated analysis of EEG recordings can help alleviate the burden on doctors and provide valuable insights to support clinical diagnosis. Many studies are working along these lines. In this research paper, the authors propose a machine learning (ML) method based on the eXtreme Gradient Boosting (XGB) algorithm for analyzing EEG signals. The study compares the performance of the proposed XGB-based approach with four other supervised ML systems. According to the results, the proposed XGB-based method demonstrates superior performance, with an AUC value of 0.94 and an accuracy value of 0.94, surpassing the other compared methods. The implemented system exhibits high accuracy and robustness in accurately classifying schizophrenia patients based on EEG recordings. This method holds the potential to be implemented as a valuable complementary tool for clinical use in hospitals, supporting clinicians in their clinical diagnosis of schizophrenia.
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Affiliation(s)
- Carmen Soria
- Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain
- Clinical Neurophysiology Service, Virgen de la Luz Hospital, 16002 Cuenca, Spain
| | - Yoel Arroyo
- Faculty of Social Sciences and Information Technology, University of Castilla-La Mancha, 45600 Talavera de la Reina, Spain
| | - Ana María Torres
- Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain
| | - Miguel Ángel Redondo
- School of Informatics, University of Castilla-La Mancha, 13071 Ciudad Real, Spain
| | - Christoph Basar
- Faculty of Human and Health Sciences, University of Bremen, 28359 Bremen, Germany
| | - Jorge Mateo
- Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain
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Venkatachala Appa Swamy M, Periyasamy J, Thangavel M, Khan SB, Almusharraf A, Santhanam P, Ramaraj V, Elsisi M. Design and Development of IoT and Deep Ensemble Learning Based Model for Disease Monitoring and Prediction. Diagnostics (Basel) 2023; 13:diagnostics13111942. [PMID: 37296794 DOI: 10.3390/diagnostics13111942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/04/2023] [Accepted: 05/11/2023] [Indexed: 06/12/2023] Open
Abstract
With the rapidly increasing reliance on advances in IoT, we persist towards pushing technology to new heights. From ordering food online to gene editing-based personalized healthcare, disruptive technologies like ML and AI continue to grow beyond our wildest dreams. Early detection and treatment through AI-assisted diagnostic models have outperformed human intelligence. In many cases, these tools can act upon the structured data containing probable symptoms, offer medication schedules based on the appropriate code related to diagnosis conventions, and predict adverse drug effects, if any, in accordance with medications. Utilizing AI and IoT in healthcare has facilitated innumerable benefits like minimizing cost, reducing hospital-obtained infections, decreasing mortality and morbidity etc. DL algorithms have opened up several frontiers by contributing towards healthcare opportunities through their ability to understand and learn from different levels of demonstration and generalization, which is significant in data analysis and interpretation. In contrast to ML which relies more on structured, labeled data and domain expertise to facilitate feature extractions, DL employs human-like cognitive abilities to extract hidden relationships and patterns from uncategorized data. Through the efficient application of DL techniques on the medical dataset, precise prediction, and classification of infectious/rare diseases, avoiding surgeries that can be preventable, minimization of over-dosage of harmful contrast agents for scans and biopsies can be reduced to a greater extent in future. Our study is focused on deploying ensemble deep learning algorithms and IoT devices to design and develop a diagnostic model that can effectively analyze medical Big Data and diagnose diseases by identifying abnormalities in early stages through medical images provided as input. This AI-assisted diagnostic model based on Ensemble Deep learning aims to be a valuable tool for healthcare systems and patients through its ability to diagnose diseases in the initial stages and present valuable insights to facilitate personalized treatment by aggregating the prediction of each base model and generating a final prediction.
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Affiliation(s)
| | - Jayalakshmi Periyasamy
- School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - Muthamilselvan Thangavel
- School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - Surbhi B Khan
- Department of Electrical and Computer Engineering, Lebanese American University, Byblos 13-5053, Lebanon
- Department of Data Science, School of Science, Engineering and Environment, University of Sanford, Manchester M5 4WT, UK
| | - Ahlam Almusharraf
- Department of Business Administration, College of Business and Administration, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
| | - Prasanna Santhanam
- School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - Vijayan Ramaraj
- School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - Mahmoud Elsisi
- Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan
- Department of Electrical Engineering, Faculty of Engineering (Shoubra), Benha University, 108 Shoubra St., Cairo P.O. Box 11241, Egypt
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Guo H, Ge YR, Dong YB, Zhao XC, Su GL, Wang JC. Effect of hyperbaric oxygen on post-stroke depression. World J Psychiatry 2023; 13:226-233. [PMID: 37303936 PMCID: PMC10251359 DOI: 10.5498/wjp.v13.i5.226] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/08/2023] [Accepted: 04/12/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND In patients with post-stroke depression (PSD) in diabetes, the situation may be more complex, requiring simultaneous treatment of blood glucose, depressive symptoms, and neurological dysfunction. Hyperbaric oxygen (HBO) therapy can improve tissue oxygen content and improve the situation of ischemia and hypoxia, thus playing a role in protecting brain cells and restoring the function of brain cells. However, there are few studies on HBO therapy for patients with PSD. This study explores the clinical efficacy of such therapy for stroke complicated with depression and diabetes mellitus, and to provide reference and basis for clinical treatment and development through the application of relevant rating scales and laboratory test indicators.
AIM To evaluate the clinical effects of HBO therapy on patients with diabetes with PSD.
METHODS A total of 190 diabetic patients with PSD were randomly divided into observation and control groups (95 patients per group). The control group received escitalopram oxalate 10mg once a day for eight weeks. In addition, the ob-servation group was also given HBO therapy, once a day, five times a week, for eight weeks. The Montgomery Depression Rating Scale (MADRS), National Institutes of Health Stroke Scale (NIHSS), hypersensitive C-reactive protein, tumor necrosis factor (TNF)-α, and fasting glucose levels were compared.
RESULTS There were no significant differences in age, sex, or depression course between the groups (P > 0.05). After HBO treatment, MADRS scores in both groups decreased significantly (14.3 ± 5.2), and were significantly lower in the control group (18.1 ± 3.5). After HBO treatment, NIHSS scores in both groups decreased significantly, and scores in the observation group (12.2 ± 4.0) decreased more than in the control group (16.1 ± 3.4), the difference was statistically significant (P < 0.001). The levels of hypersensitive C-reactive protein and TNF-α in both groups were significantly decreased, and the observation group was significantly lower than the control group (P < 0.001). Fasting blood glucose levels in both groups decreased significantly, and those in the observation group decreased more (8.02 ± 1.10) than in the control group (9.26 ± 1.04), with statistical significance (t = -7.994, P < 0.001).
CONCLUSION HBO therapy can significantly improve depressive symptoms and neurological dysfunction in patients with PSD, and reduce the levels of hypersensitive C-reactive protein, TNF-α and fasting blood glucose.
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Affiliation(s)
- Hong Guo
- Department of Psychology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yi-Ran Ge
- Department of Clinical Psychology, The First Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
| | - Yan-Bin Dong
- Department of Psychology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Xiao-Chuan Zhao
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
| | - Guan-Li Su
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
| | - Jin-Cheng Wang
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
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Yao Q, Jiang K, Lin F, Zhu T, Khan NH, Jiang E. Pathophysiological Association of Alzheimer's Disease and Hypertension: A Clinical Concern for Elderly Population. Clin Interv Aging 2023; 18:713-728. [PMID: 37181536 PMCID: PMC10167960 DOI: 10.2147/cia.s400527] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 04/22/2023] [Indexed: 05/16/2023] Open
Abstract
Alzheimer's disease (AD), the most common cause of dementia and the fifth leading cause of death in the adult population has a complex pathophysiological link with hypertension (HTN). A growing volume of published literature on a parallel elevation of blood pressure (BP), amyloid plaques, and neurofibrillary tangles formation in post-middle of human brain cells has developed new, widely accepting foundations on this association. In particular, HTN in elderly life mediates cerebral blood flow dysfunction, neuronal dysfunction, and significant decline in cognitive impairment, primarily in the late-life populace, governing the onset of AD. Thus, HTN is an established risk factor for AD. Considering the impact of AD, 1.89 million deaths annually, and the failure of palliative therapies to cure AD, the scientific research community is looking to adopt integrated approaches to target early modified risk factors like HTN to reduce AD burden. The current review highlights the significance and impact of HTN-based prevention in lowering the AD burden in the elderly by providing a comprehensive overview of the physiological relationship between AD and HTN with an in-detail explanation of the role and applications of pathological biomarkers in this clinical association. The review will gain worth in presenting new insights and providing inclusive discussion on the correlation between HTN and cognitive impairment. It will increase across a wider scientific audience to expand understanding of this pathophysiological association.
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Affiliation(s)
- Qianqian Yao
- Institute of Nursing and Health, Henan University, Kaifeng, People’s Republic of China
| | - Kexin Jiang
- Institute of Nursing and Health, Henan University, Kaifeng, People’s Republic of China
| | - Fei Lin
- School of Medicine, Shangqiu Institute of Technology, Shangqiu, People’s Republic of China
| | - Tao Zhu
- Department of Geriatrics, Kaifeng Traditional Chinese Medicine Hospital, Kaifeng, People’s Republic of China
| | - Nazeer Hussain Khan
- Institute of Nursing and Health, Henan University, Kaifeng, People’s Republic of China
- Henan International Joint Laboratory for Nuclear Protein Regulation, Henan University, Kaifeng, People’s Republic of China
| | - Enshe Jiang
- Institute of Nursing and Health, Henan University, Kaifeng, People’s Republic of China
- Henan International Joint Laboratory for Nuclear Protein Regulation, Henan University, Kaifeng, People’s Republic of China
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31
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Neurostimulation as a treatment for mood disorders in patients: recent findings. Curr Opin Psychiatry 2023; 36:14-19. [PMID: 36449728 DOI: 10.1097/yco.0000000000000835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
PURPOSE OF REVIEW The use of neurostimulation to treat mood disorders dates back to the 1930s. Recent studies have explored various neurostimulation methods aimed at both restoring a healthy brain and reducing adverse effects in patients. The purpose of this review is to explore the most recent hypotheses and clinical studies investigating the effects of stimulating the brain on mood disorders. RECENT FINDINGS Recent work on brain stimulation and mood disorders has focused mainly on three aspects: enhancing efficacy and safety by developing new approaches and protocols, reducing treatment duration and chances of relapse, and investigating the physiological and pathological mechanisms behind treatment outcomes and possible adverse effects.This review includes some of the latest studies on both noninvasive techniques, such as transcranial magnetic stimulation, magnetic seizure therapy, transcranial direct current stimulation, transcranial alternating current stimulation, electroconvulsive treatment, and invasive techniques, such as deep brain stimulation and vagus nerve stimulation. SUMMARY Brain stimulation is widely used in clinical settings; however, there is a lack of understanding about its neurobiological mechanism. Further studies are needed to understand the neurobiology of brain stimulation and how it can be used to treat mood disorders in their diversity, including comorbidities with other illnesses.
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Liu X, Lin W, Zhang L, Zhang WL, Cheng XP, Lian YH, Li MC, Wang SZ, Chen XY, Gan SR. Effects of cerebellar transcranial alternating current stimulation in cerebellar ataxia: study protocol for a randomised controlled trial. Front Neurosci 2023; 17:1180454. [PMID: 37179566 PMCID: PMC10172579 DOI: 10.3389/fnins.2023.1180454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/13/2023] [Indexed: 05/15/2023] Open
Abstract
Background Cerebellar ataxia (CA) is a movement disorder that can affect balance and gait, limb movement, oculomotor control, and cognition. Multiple system atrophy-cerebellar type (MSA-C) and spinocerebellar ataxia type 3 (SCA3) are the most common forms of CA, for which no effective treatment is currently available. Transcranial alternating current stimulation (tACS) is a non-invasive method of brain stimulation supposed to alter cortical excitability and brain electrical activity, modulating functional connectivity within the brain. The cerebellar tACS can modulate the cerebellar outflow and cerebellum-linked behavior and it is a proven safe technique for humans. Therefore, the aim of this study is to 1) examine whether cerebellar tACS improves ataxia severity and various non-motor symptoms in a homogeneous cohort of CA patients consisting of MSA-C and SCA3, 2) explore the time course of these effects, and 3) assess the safety and tolerance of cerebellar tACS in all participants. Methods/design This is a 2-week, triple-blind, randomised, sham-controlled study. 164 patients (MSA-C: 84, SCA3: 80) will be recruited and randomly assigned to either active cerebellar tACS or sham cerebellar tACS, in a 1:1 ratio. Patients, investigators, and outcome assessors are unaware of treatment allocation. Cerebellar tACS (40 min, 2 mA, ramp-up and down periods of 10s each) will be delivered over 10 sessions, distributed in two groups of five consecutive days with a two-day break in between. Outcomes are assessed after the tenth stimulation (T1), and after 1 month (T2) and 3 months (T3). The primary outcome measure is the difference between the active and sham groups in the proportion of patients with an improvement of 1.5 points in the Scale for the Assessment and Rating of Ataxia (SARA) score after 2 weeks of treatment. In addition, effects on a variety of non-motor symptoms, quality of life, and autonomic nerve dysfunctions are assessed via relative scales. Gait imbalance, dysarthria, and finger dexterity are objectively valued via relative tools. Finally, functional magnetic resonance imaging is performed to explore the possible mechanism of treatment effects. Discussion The results of this study will inform whether repeated sessions of active cerebellar tACS benefit CA patients and whether this form of non-invasive stimulation might be a novel therapeutic approach to consider in a neuro-rehabilitation setting.Clinical Trial Registration: ClinicalTrials.gov, identifier NCT05557786; https://www.clinicaltrials.gov/ct2/show/NCT05557786.
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Affiliation(s)
- Xia Liu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Wei Lin
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Lin Zhang
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Wan-Li Zhang
- College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
| | - Xiao-Ping Cheng
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yan-Hua Lian
- The School of Health, Fujian Medical University, Fuzhou, China
| | - Meng-Cheng Li
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Shi-Zhong Wang
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- The School of Health, Fujian Medical University, Fuzhou, China
- *Correspondence: Shi-Zhong Wang,
| | - Xin-Yuan Chen
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Xin-Yuan Chen,
| | - Shi-Rui Gan
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Shi-Rui Gan,
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Zheng W, Lan XJ, Qin ZJ, Yang XH, Shi ZM. Low-frequency repetitive transcranial magnetic stimulation for children and adolescents with first-episode and drug-naïve major depressive disorder: A systematic review. Front Psychiatry 2023; 14:1111754. [PMID: 36911139 PMCID: PMC10000294 DOI: 10.3389/fpsyt.2023.1111754] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/20/2023] [Indexed: 02/11/2023] Open
Abstract
OBJECTIVE This systematic review of randomized controlled trials (RCTs) was conducted to explore the therapeutic effects and safety of active low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) versus sham LF-rTMS in children and adolescent patients with first-episode and drug-naïve (FEDN) major depressive disorder (MDD). METHODS A systematic literature search was performed, and data were extracted by two independent researchers. The coprimary outcomes were study-defined response and remission. RESULTS A systematic search of the literature yielded 442 references, of which 3 RCTs (130 children and adolescents with FEDN MDD, 50.8% male, and mean age range from 14.5 to 17.5 years) met the inclusion criteria. Among the two RCTs (66.7%, 2/3) examining the effects of LF-rTMS on study-defined response and remission and cognitive function, active LF-rTMS was more efficacious than sham LF-rTMS in terms of study-defined response rate and cognitive function (all p < 0.05) but not regarding study-defined remission rate (all p > 0.05). No significant group differences were found with regard to adverse reactions. None of the included RCTs reported the dropout rate. CONCLUSION These findings preliminarily found that LF-rTMS could benefit children and adolescents with FEDN MDD in a relatively safe manner, although further studies are warranted.
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Affiliation(s)
- Wei Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xian-Jun Lan
- The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Zhen-Juan Qin
- The Brain Hospital of Guangxi Zhuang Autonomous Region, LiuZhou, China
| | - Xin-Hu Yang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhan-Ming Shi
- Chongqing Jiangbei Mental Health Center, Chongqing, China
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Zheng W, Cai DB, Nie S, Chen JH, Huang XB, Goerigk S, Brunoni AR, Zheng W. Adjunctive transcranial alternating current stimulation for patients with major depressive disorder: A systematic review and meta-analysis. Front Psychiatry 2023; 14:1154354. [PMID: 37032914 PMCID: PMC10073427 DOI: 10.3389/fpsyt.2023.1154354] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/06/2023] [Indexed: 04/11/2023] Open
Abstract
Objective We performed a meta-analysis of randomized, double-blind, controlled trials (RCTs) to systematically investigate the therapeutic effects and tolerability of transcranial alternating current stimulation (tACS) for the treatment of patients with major depressive disorder (MDD). Methods Electronic search of PubMed, PsycINFO, EMBASE, Chinese National Knowledge Infrastructure, Wanfang database, and the Cochrane Library up to 1 April 2022. Double-blind RCTs examining the efficacy and safety of tACS for patients with MDD were included. The primary outcome was the improvement of depressive symptoms following a course of tACS treatment. Data were analyzed using Review Manager Version 5.3 (Cochrane IMS, Oxford, UK). Study quality was assessed using the Cochrane risk of bias and Jadad scale. Publication bias was assessed using a funnel plot and the Egger test. Results We identified 883 articles, of which 4 RCTs with 5 active treatment arms covering 224 participants with MDD on active tACS (n = 117) and sham tACS (n = 107) were eligible for inclusion. Meta-analysis of depressive symptoms at post-tACS found an advantage of active tACS over sham tACS (n = 212, standard mean difference (SMD) = -1.14, 95% confidence interval (CI): -2.23, -0.06; I 2 = 90%, P = 0.04). The significant superiority of active tACS over sham tACS in improving depressive symptoms remained in a sensitivity analysis. Active tACS was significantly superior to sham tACS regarding depressive symptoms at the 4 week follow-up (SMD = -1.07, 95% CI: -2.05, -0.08; I 2 = 88%, P = 0.03) and study-defined remission [risk ratio (RR) = 2.07, 95% CI: 1.36, 3.14, I 2 = 9%, P = 0.0006]. The discontinuation rate due to any reason was similar between the two groups (P > 0.05). All included studies were rated as high quality (Jadad score ≥ 3), with funnel plots of primary outcome not suggestive of publication bias. Conclusion tACS appeared to be modestly effective and safe for improving depressive symptoms in patients with MDD, although further studies are warranted.
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Affiliation(s)
- Wei Zheng
- Xiamen Xian Yue Hospital, Xiamen, China
| | - Dong-Bin Cai
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Sha Nie
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jian-Hua Chen
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xing-Bing Huang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Stephan Goerigk
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
- Department of Psychological Methodology and Assessment, Ludwig-Maximilians-University, Munich, Germany
- Department of Psychology, Charlotte Fresenius Hochschule, Munich, Germany
| | - Andre Russowsky Brunoni
- Center for Clinical and Epidemiological Research and Interdisciplinary Center for Applied Neuromodulation, University Hospital, University of São Paulo, São Paulo, Brazil
- Service of Interdisciplinary Neuromodulation, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
- Laboratory of Neuroscience and National Institute of Biomarkers in Psychiatry, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Wei Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- *Correspondence: Wei Zheng,
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Effects of coiling embolism on blood hemodynamic of the MCA aneurysm: a numerical study. Sci Rep 2022; 12:22029. [PMID: 36539436 PMCID: PMC9768123 DOI: 10.1038/s41598-022-26208-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
One of common endovascular technique for treatment of MCA aneurysm is using coiling gel for limiting of blood stream. In this work, computational fluid dynamic is used for the simulation of the blood hemodynamic inside MCA in existence of coiling gel. This work has tried to visualize the impacts of blood characteristics i.e. hematocrit as a protein related factor on efficiency of coiling fiber inside the aneurysm. Tufts of polyester fibers may be attached to the coil to support thrombosis and platelet aggregation. Blood rheology analysis is done by solving RANS equations and it is assumed that blood stream is non-Newtonian with fluid-solid interaction. OSI and WSS are compared on sac surface area for different stages of blood cycle. Achieved results confirm that the coiling gel substantially decreases the blood circulation inside the aneurysm sac. It is also found that the influence of blood hematocrit decreases when the MCA aneurysm is filled by the coiling gel.
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Wechselstromstimulation als Ersttherapie bei
Depression. FORTSCHRITTE DER NEUROLOGIE · PSYCHIATRIE 2022. [DOI: 10.1055/a-1832-0020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Die transkraniale Magnetstimulation (TMS) ist eine wirksame Therapie bei
Depression, wenn medikamentöse Optionen nicht effektiv waren. Auch die
transkranielle Gleichstromstimulation (tDCS) wird bei unipolarere Depression
zunehmend eingesetzt. Die Wechselstromstimulation (engl. transcranial
alternating current stimulation, tACS) gilt als ähnlich wirksam, aber
nebenwirkungsärmer und ist damit ein interessanter Ansatz auch
für die Ersttherapie.
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Lee ARYB, Yau CE, Mai AS, Tan WA, Ong BSY, Yam NE, Ho CSH. Transcranial alternating current stimulation and its effects on cognition and the treatment of psychiatric disorders: a systematic review and meta-analysis. Ther Adv Chronic Dis 2022; 13:20406223221140390. [PMID: 36479141 PMCID: PMC9720798 DOI: 10.1177/20406223221140390] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 11/03/2022] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Transcranial alternating current stimulation (TACS) is a non-invasive method of brain stimulation that is hypothesised to alter cortical excitability and brain electrical activity, modulating functional connectivity within the brain. Several trials have demonstrated its potential in treating psychiatric disorders such as depression and schizophrenia. OBJECTIVES To study the efficacy of TACS in ameliorating symptoms of depression and schizophrenia in patients and its effects on cognition in patients and healthy subjects compared to sham stimulation. DESIGN Systematic review with meta-analysis. DATA SOURCES AND METHODS This PROSPERO-registered systematic review (CRD42022331149) is reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, EMBASE, CENTRAL and PsycINFO were searched from inception to March 2022. Only randomised-controlled trials were included. RESULTS A total of 12 randomised-controlled trials are reviewed for meta-analysis, with three randomised-controlled trials reporting only effects on cognition in psychiatric and cognitively impaired patients, three trials on cognition in healthy subjects, one trial on cognition in both patients and healthy subjects, one trial on only depression, two on both cognition and depression in patients and two on schizophrenia symptoms. No studies were at significant risk of bias. For cognition, TACS showed significant improvement [positive standardised mean differences (SMD) denoting improvement] over sham stimulation in those with psychiatric disorders with an SMD of 0.60 (95% confidence interval [CI]: 0.14, 1.06). Similarly, among patients with depression, an SMD of 1.14 (95% CI: 0.10, 2.18) was found significantly favouring TACS over sham stimulation. Two studies assessed the effect of TACS on schizophrenia symptoms with mixed results. CONCLUSION TACS has shown promise in ameliorating symptoms of both schizophrenia and depression in patients. TACS also improves cognition in both patients and healthy subjects. However, these findings are limited by the sample size of included studies, and future studies may be required to better our understanding of the potential of TACS. REGISTRATION PROSPERO (CRD42022331149).
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Affiliation(s)
| | - Chun En Yau
- MBBS Programme, Yong Loo Lin School of
Medicine, National University of Singapore, Singapore
| | - Aaron Shengting Mai
- MBBS Programme, Yong Loo Lin School of
Medicine, National University of Singapore, Singapore
| | - Weiling Amanda Tan
- MBBS Programme, Yong Loo Lin School of
Medicine, National University of Singapore, Singapore
| | - Bernard Soon Yang Ong
- MBBS Programme, Yong Loo Lin School of
Medicine, National University of Singapore, Singapore
| | - Natalie Elizabeth Yam
- MBBS Programme, Yong Loo Lin School of
Medicine, National University of Singapore, Singapore
| | - Cyrus Su Hui Ho
- Department of Psychological Medicine, Yong Loo
Lin School of Medicine, National University of Singapore, NUHS Tower Block,
Level 9, 1E Kent Ridge Road, Singapore 119228
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