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Cochrane Database of Systematic Reviews Protocol - Intervention

Non‐invasive brain stimulation for improving cognitive function in people with dementia and mild cognitive impairment

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Abstract

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows:

To assess the safety and efficacy of non‐invasive brain stimulation techniques for improving cognitive function in dementia and MCI.

Background

Description of the condition

Dementia is the most common neurodegenerative disease causing disability and mortality in older individuals (Jia 2014;McCarney 2003). The prevalence is 4% to 8% in people aged 65 and older in high‐income countries (Berr 2005; Lobo 2000), and is 3% to 7% in low‐ and middle‐income countries (Dong 2007; Jia 2014; Kalaria 2008; Llibre Rodriguez 2008; Wang 2000). Usually, mild cognitive impairment (MCI) is believed to be the prodromal stage of dementia and the early interventional stage.

Dementia affects memory, thinking, behaviour, emotion and social function. It comprises various types, such as Alzheimer's disease, vascular dementia, dementia with Lewy bodies, etc. Dementia impairs an individual's functional and social independence and response to participation in treatment programmes and rehabilitation (Shaji 2009). People with cognitive impairment often require continuous care and support, which places strains on caregivers and society. People living with dementia may have symptoms such as memory loss, difficulties in expressing themselves and understanding others, executive dysfunctions, emotional instability and personality changes (Chen 2015; Karkou 2014; Li 2014; Orimo 2008; Whitwell 2007).

So far, the available pharmacological treatments for dementia are unsatisfactory with limited effectiveness. Therefore, methods of non‐invasive electrical brain stimulation may be considered for dementia and MCI (Nardone 2012).

Description of the intervention

Modalities of this nature include repetitive transcranial magnetic stimulation (rTMS), theta burst stimulation (TBS), transcranial direct current stimulation (tDCS), cranial electrotherapy stimulation (CES, also known as transcranial alternating current stimulation, i.e. transcranial alternating current stimulation (tACS)) and reduced impedance non‐invasive cortical electrostimulation (RINCE) (O'Connell 2014). These modalities are increasingly used in clinical practice because they are safe and may prolong functional changes especially rTMS and tDCS (Ahmed 2012; Elsner 2016; Ferrucci 2008).

Non‐invasive brain stimulation techniques aim to induce an electrical stimulation in the brain in an attempt to treat neurological disease by directly altering brain activity. They require no surgical procedure and are therefore easier and safer to apply than invasive procedures (O'Connell 2014). There are various types of non‐invasive brain stimulation techniques, such as cranial electrotherapy stimulation, reduced impedance non‐invasive cortical electrostimulation, repetitive transcranial magnetic stimulation, theta‐burst stimulation, transcranial direct current stimulation, etc; each of them has distinct but different mechanisms (O'Connell 2014).

Cranial electrotherapy stimulation (CES) was initially developed as a treatment for anxiety and depression in the 1950s and later used as a treatment for pain and depression (Kavirajan 2014; Kirsch 2000). The electrical current in CES is commonly pulsed and applied via clip electrodes that are attached to the patient's earlobes. A small, pulsed electric current is applied across a patient's head to treat anxiety, depression, insomnia and chronic pain (O'Connell 2014).

Reduced impedance non‐invasive cortical electrostimulation (RINCE) has been tested as a treatment for chronic pain. An electrical current is applied via scalp electrodes but utilises specific stimulation frequencies, which is hypothesised to reduce electrical impedance from the tissues of the skin and skull, allowing deeper cortical penetration and modulation of lower‐frequency cortical activity (Hargrove 2012; O'Connell 2014).

Repetitive transcranial magnetic stimulation (rTMS) is a painless method used to stimulate small regions of the brain (Hao 2013). An electromagnetic coil is held against the forehead and short electromagnetic pulses are administered through the coil. The magnetic field thus is created and its pulse easily passes through the skull, causing small electrical currents that depolarise superficial axons and activate neural networks in the cortex (Lefaucheur 2014; Fregni 2007). Trains of these stimuli are applied to the target region of the cortex to induce alterations in brain activity both locally and in remote brain regions (Leo 2007). Nowadays, it can be applied in the treatment of various neurological and psychiatric disorders including migraine, stroke, Parkinson's disease, dystonia, tinnitus and depression (Cao 2014; Forogh 2014; Hoekstra 2013; O'Connell 2014; Pirio Richardson 2015; Serafini 2015; Zanjani 2015; ).

Theta‐burst stimulation (TBS) has been used to investigate long‐term potentiation (LTP) and long‐term depression (LTD) ‐like plasticity non‐invasively in the primary motor cortex (M1) in healthy humans and in people with various types of movement disorders (Huang 2005). It is patterned rTMS that modulates human M1 excitability using low intensity, repetitive bursts of magnetic stimuli that are similar to the mechanism of rTMS. However, TBS was shown to produce a more controllable, consistent, long‐lasting, and powerful effect on motor cortex in physiology and behaviour after a shorter application period compared with rTMS (Antal 2010; Huang 2005).

Transcranial direct current stimulation (tDCS) was originally developed to improve brain injuries such as stroke and recently has been further developed as a clinical tool for the modulation of brain activity. Administration of tDCS typically involves applying two large (25 cm² to 35 cm²) saline‐soaked sponge electrodes, consisting of an anode and a cathode, to the scalp. A weak constant current in the range of 1 to 2 mA then passes through the electrodes for several minutes, resulting in either facilitation or inhibition of spontaneous neuronal activity within the underlying cortex (Elsner 2013; Lefaucheur 2008). It is widely used currently as a therapeutic and rehabilitative tool for epilepsy, chronic pain, stroke, depression and Parkinson's disease (Hill 2015; Kang 2015; Summers 2016).

How the intervention might work

The aim of brain stimulation in the treatment of dementia is to modulate neuronal activity by altering activity in the areas of the brain involved in cognitive processing.

Both tDCS and rTMS have been shown to modulate brain activity specific to the site of application and the stimulation parameters (O'Connell 2014). As a general rule, low frequency rTMS (≤ 1 Hz) results in lowered cortical excitability at the site of stimulation, On the other hand, high frequency rTMS (≥ 5 Hz) results in raised cortical excitation (O'Connell 2014; Hallett 2007). Similarly, A‐tDCS, defined as positive (V+) stimulation, may increase the neuronal excitability of the area of stimulation, whereas C‐tDCS, defined as negative (V‐) stimulation, may decrease the neuronal excitability of the area of stimulation (Nitsche 2003). Meanwhile, the prolonged post‐treatment effects of rTMS and tDCS are probably due to synaptic and nonsynaptic mechanisms (Ardolino 2005; Lefaucheur 2014; Liebetanz 2002). Taking rTMS for instance, the duration of after‐effects increases with the number of stimuli delivered, and may persist for minutes to hours, or even days, after the end of an rTMS session (Lefaucheur 2014). From therapeutic and rehabilitative perspectives, the main interest of rTMS and tDCS resides in the persistence of clinical changes well beyond the time of stimulation (Cogiamanian 2007; Lefaucheur 2014; Nardone 2012). Used in this way, rTMS has confirmed the involvement of the dorsolateral prefrontal cortex (DLPFC) in various aspects of cognitive control. In some cases (e.g. memory), rTMS can interfere with task performance, inducing an increase in the number of errors (Miniussi 2008). If applied over an area that is causally engaged in that task being executed, short bursts of rTMS can interfere with function for brief periods and transiently change behavioural performance. This is sometimes referred to as on‐line interference (Ahmed 2012; Miniussi 2008). A possible effect on sentence comprehension is predicted on the basis of a study in young participants, who provide direct evidence of DLPFC involvement (Manenti 2008). In dementia cases (e.g. naming), even with comparable stimulation parameters, performance can be enhanced (Cappa 2002; Cotelli 2006; Cotelli 2008; Töpper 1998). Similarly, tDCS may also improve the cognitive performances in people with dementia, possibly by a similar mechanism of increased excitability (Fregni 2005; Sparing 2008). In people without dementia, an equivalent effect may be induced for more sophisticated cortical functions, such as memory or language (Boggio 2006; Ferrucci 2008; Fregni 2005; Sparing 2008).

Modulation of activity in brain networks is also proposed as the mechanism of action of TBS, CES and RINCE therapy, the therapeutic effects of which are primarily achieved by direct action upon the hypothalamus, limbic system or the reticular activating system (O'Connell 2014), or a combination of these. Although brain stimulation of this nature may be useful for several neuropsychiatric disorders, such as pain and post‐traumatic stress disorder (O'Connell 2014; Novakovic 2011), no information is available on cognitive changes induced by them in people with dementia. Further investigation is needed on this topic as well as on clarifying whether TBS, CES and RINCE may be associated with therapeutic change in people with dementia.

Why it is important to do this review

Dementia affects a sizable proportion of populations in low‐ and middle‐income countries, as well as high‐income countries, and there is a pressing need to find techniques to address the problem. The techniques may be new treatment options, since (at this early phase of research) they appear to be cost‐effective and low risk. This approach for dementia and MCI treatment is relatively novel. Data from small randomised controlled trials (RCTs) suggest that non‐invasive brain stimulation techniques are efficacious for many kinds of neurological diseases including dementia (Ahmed 2012; Cotelli 2006; Cotelli 2008; Ferrucci 2008). However, most studies with this observation are single‐centre RCTs with small samples. Another complicating factor in deriving inferences from the extant RCTs is that there are five kinds of stimulations and each type has different subtypes (Antal 2010; Hallett 2007). Most of these RCTs compare not only real and sham stimulations within the same types but also different subtypes.

We aim to extract data from RCTs and conduct a rigorous and comprehensive meta‐analysis, so that the evidence may be more accurately ascertained than in individual RCTs. Ultimately, such a meta‐analysis may be clinically useful when treating people with dementia and MCI.

Objectives

To assess the safety and efficacy of non‐invasive brain stimulation techniques for improving cognitive function in dementia and MCI.

Methods

Criteria for considering studies for this review

Types of studies

We will include RCTs assessing cognitive function in people with dementia and MCI. We will only include data from the first period when considering cross‐over studies.

Types of participants

The review will include studies of people who have been formally diagnosed as having dementia or MCI, according to the DSM‐IV, ICD‐10 or other comparable diagnostic criteria (Chagas 2018; Naik 2008). We will apply no limitation of age and gender for enrolment.

Types of interventions

We will include all non‐invasive forms of brain stimulation (rTMS, tDCS , CES, TBS or RINCE) regardless of ipsilateral or bilateral stimulation, frequency or duration of stimulation. These interventions may take either a remedial or a compensatory approach, or both. The control interventions will be sham treatment or no treatment.

Types of outcome measures

We will include only studies assessing cognitive function. We will determine length of follow‐up according to the original studies.

Primary outcomes

  1. Cognitive outcomes

    1. Change in scores on global cognitive screening measures (e.g. Mini‐Mental State Exam (MMSE) (Folstein 1975), Alzheimers Disease Assessment Scale (ADAS‐cog) (Rosen 1984) or other scale)

    2. Change in performance on neuropsychological measures (immediate and delayed memory, working memory and attention, language, executive function (e.g. Wechsler Memory Scale (WMS), Wechsler Memory Scale‐Rrevised (WMS‐R), Luria‐Nebraska Neuropsychological Battery (LNNB) Memory Scale, Randt Memory Test (RMT), Memory Assessment Scale (MAS), Corsi blocks task for attention‐concentration, different memory (Vandierendonck 2004), Trail Making Test (TMT) for assessment of executive function (Tombaugh 2004)

  2. Adverse events

    1. Any adverse events

    2. Severe adverse events

Secondary outcomes

  1. Quality of life

    1. Change in scores on quality of life (e.g. Quality of Life‐Alzheimer' s Disease (QOL‐AD) (Logsdon 1999), Instrumental activity of daily living (IADL) (Doi 2013; Tabert 2006; Peres 2006) or other scales)

  2. Depression

    1. Change in depression (e.g. Cornell Scale for Depression in Dementia (Alexopoulos 1988) or other scale)

  3. Caregiver's outcomes

    1. Self‐reported changes in mood, well‐being, burden of care and quality of life

Search methods for identification of studies

Electronic searches

We will search ALOIS (www.medicine.ox.ac.uk/alois) ‐ the Cochrane Dementia and Cognitive Improvement (CDCI) Specialised Register.

ALOIS is maintained by the Information Specialist for Cochrane Dementia and Cognitive Improvement, and contains studies that fall within the areas of dementia prevention, dementia treatment and management, and cognitive enhancement in healthy elderly populations. The Information Specialists will identify the studies through:

  1. Searching a number of major healthcare databases: MEDLINE, Embase, CINAHL and PsycONFO;

  2. Searching a number of trials registers: ISRCTN; UMIN (Japan's Trial Register); the World Health Organization (WHO) portal (which covers ClinicalTrials.gov; ISRCTN; the Chinese Clinical Trials Register; the German Clinical Trials Register; the Iranian Registry of Clinical Trials and the Netherlands National Trials Register, plus others);

  3. Searching the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library;

  4. Searching a number of grey literature sources: ISI Web of Knowledge Conference Proceedings.

A list of all sources searched for ALOIS is available on the ALOIS website (www.medicine.ox.ac.uk/alois).

Information about the search strategies can be viewed on the Dementia and Cognitive Improvement website http://dementia.cochrane.org/searches

We will run additional searches in MEDLINE, Embase, PsycINFO, CINAHL, ClinicalTrials.gov and the WHO Portal/ICTRP to ensure that the searches for the review are as comprehensive and up‐to‐date as possible. The search strategy that we will be using for the retrieval of reports of studies from MEDLINE (via the Ovid SP platform) can be seen in Appendix 1.

Searching other resources

We will try to identify other potentially eligible studies or ancillary publications by searching the reference lists of retrieved included trials, (systematic) reviews, meta‐analyses and health‐technology assessment reports.

Data collection and analysis

Selection of studies

To identify studies for further evaluation, we will scan the titles, abstracts and keywords of every record found. We will eliminate articles on initial screening if we can determine from the title and abstract that the article is not a report of an RCT or the study does not address the effect of non‐invasive brain stimulation for cognitive impairment or dementia. If there is any doubt about these criteria from the information given in the title and abstract, we will obtain the full text for clarification. We will develop an inclusion/exclusion form to assist the selection of studies. Two review authors (JZ, HS) will independently assess the selection of studies and they will resolve any disagreements through consultation with a third review author (JJ). If they can not resolve disagreements in this way, they will add the article to those awaiting assessment and we will contact the study authors for clarification.

Data extraction and management

Two review authors (JZ, HS) will independently extract data on methods, participants, interventions, outcomes and results, and record the information on a data extraction form. The key information extracted will be as follows.

  1. General information: published/unpublished, title, authors, reference/source, contact address, country, language of publication, year of publication, duplicate publications, sponsor, setting

  2. Study characteristics: design, duration of follow‐up, method of randomisation, allocation concealment, blinding (participants, people administering treatment, people assessing outcome)

  3. Interventions: intervention (route, frequency, duration), controlled intervention (route, frequency, duration)

  4. Participants: inclusion/exclusion criteria, diagnostic criteria, total number and number in each group, age, baseline characteristics, similarity of groups at baseline (including any comorbidity), assessment of compliance, withdrawals (reasons/description), subgroups

  5. Outcome measures used in the study: outcomes specified above, any other outcomes assessed, other events, length of follow‐up, quality of reporting of outcomes

We will use Covidence 2018 as a tool for data management. Two review authors (JZ, HS) will cross‐check all extracted data and resolve any disagreements by discussion. If they can not reach consensus, the third review author (JJ) will make the final decision. When participants are excluded or lost to follow‐up after randomisation or if any of the above data are unavailable from the publications, we will seek further information by contacting the study authors. If such information remains unavailable, all the review authors will decide whether or not to include the study in the review.

Assessment of risk of bias in included studies

Assessment of risk of bias of included studies will follow the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). Two authors (JZ, HS) will independently assess and score included studies’ methodological quality in order to identify any potential sources of systematic bias. Criteria for appraisal of studies will be internal validity and low risk of bias through selection bias, performance bias, attrition bias, and detection bias. We will determine study validity by categorising individual studies into low, high or unclear risk of bias.

As recommended by the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2017), we will use a two‐part tool, addressing six domains (sequence generation, allocation concealment, blinding, incomplete outcome data, selective outcome reporting, and other issues), the first part describing what has been reported in the study and the second part assessing the related risk of bias (low, high, or unclear).

We will address the domains of sequence generation, allocation concealment (avoidance of selection bias) and selective outcome reporting (avoidance of reporting bias) in the tool by a single entry for each study. We will consider blinding of participants, staff and outcome assessors (avoidance of performance bias and detection bias) separately for objective outcomes and subjective outcomes. We will consider incomplete outcome data (avoidance of attrition bias) separately for different lengths of follow‐up (shorter and longer follow‐up).

Measures of treatment effect

For dichotomous data, we will use risk ratios (RR) for calculation.

For continuous data, the measure of treatment effect will be the mean difference (MD) with the 95% confidence interval (CI) if the pooled studies use the same rating scale or test, or the standardised mean difference (SMD) with a 95% CI if the studies use different scales to measure the same outcome.

We will enter and analyse data in Review Manager 5 (RevMan 5) (RevMan 2014).

Unit of analysis issues

Cross‐over studies

For cross‐over studies we will only use first period data up to the first point of cross over to rule out carry‐over effects.

Studies with multiple treatment groups

If a study compares two or more eligible intervention groups to one eligible control group, we will split the sample size for the shared comparator group as outlined in chapter 16.5 of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011).

Dealing with missing data

We will use intention‐to‐treat analysis for the outcome analysis after the participants are randomised. We will contact study authors if insufficient data are presented in the study report to enter a study into the meta‐analysis.

Assessment of heterogeneity

We will analyse heterogeneity by means of the I² statistic (Higgins 2003) and the Chi² test (Deeks 2017). The cut‐off points to establish heterogeneity will be I² statistic values of more than 50% and a P value for the Chi² test of less than 0.1.

Assessment of reporting biases

Where there are more than 10 studies analysed, we will use a funnel plot to examine for publication bias (Sterne 2017).

Data synthesis

We will perform meta‐analyses using the generic inverse variance method in RevMan 5 (RevMan 2014). We expect frequent clinical heterogeneity between studies due to mostly diverse or complex interventions, or both. Therefore, we will use a random‐effects model to combine individual results, regardless of whether there is significant heterogeneity or not.

Subgroup analysis and investigation of heterogeneity

We will assess heterogeneity using the Chi² test to investigate its statistical significance and the I² statistic to estimate the amount. Where significant heterogeneity (P < 0.1) is present we will explore subgroup analysis.

If possible, we will also perform subgroup analyses as follows:

  1. subtypes of stimulation;

  2. subtype of dementia;

  3. severity of dementia.

GRADE and 'Summary of findings' table

For each comparison, we will assess the overall quality of the evidence for all primary outcomes (cognitive outcomes and adverse events) using the GRADE approach. According to the GRADE approach, as outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Schünemann 2017), we will summarise the evidence by creating a 'Summary of findings' table using GRADEpro GDT (GRADEpro GDT 2015). We will include all the outcomes in the 'Summary of findings' table, and assess the quality of evidence for each outcome on the basis of the following five considerations: study limitations, imprecision, consistency of effect, indirectness and publication bias. We will present the main results of the review in ‘Summary of findings’ tables, which provide key information concerning the best estimate of effect of the interventions examined, and the quantity and the quality of the evidence behind each estimate.

Sensitivity analysis

When sufficient data are available, we will conduct sensitivity analyses on the following study factor: risk of bias.