Skip to main content
JAMA Network logoLink to JAMA Network
. 2017 Jan 19;143(5):443–451. doi: 10.1001/jamaoto.2016.3779

Cognitive Training for Adults With Bothersome Tinnitus

A Randomized Clinical Trial

Dorina Kallogjeri 1,2, Jay F Piccirillo 1,3,, Edward Spitznagel Jr 4, Sandra Hale 5, Joyce E Nicklaus 6, Frances Mei Hardin 7, Joshua S Shimony 8, Rebecca S Coalson 8,9, Bradley L Schlaggar 8,9,10,11,12
PMCID: PMC5824313  PMID: 28114646

This randomized clinical trial evaluates the effect of a cognitive training program on bothersome tinnitus in adults.

Key Points

Question

Can patients with severe, bothersome tinnitus benefit from a computer-based, cognitive training rehabilitation program?

Findings

Of the 40 individuals with tinnitus enrolled in this randomized clinical trial, patients who used the training program endorsed improvements in domains of tinnitus perception, attention, memory, and concentration, but no significant differences in behavioral measures were observed between these patients and individuals who did not use the training program. Neuroimaging changes in brain systems responsible for attention and cognitive control were observed in patients who used the training program.

Meaning

Cognitive training programs, which purport to exploit the brain’s capacity for neuroplasticity, might have a role in the future treatment of patients with tinnitus.

Abstract

Importance

Individuals with tinnitus have poorer working memory, slower processing speeds and reaction times, and deficiencies in selective attention, all of which interfere with readiness and performance. Brain Fitness Program–Tinnitus (BFP-T) is a cognitive training program specially designed to exploit neuroplasticity for preservation and expansion of cognitive health in adults with tinnitus.

Objective

To evaluate the effect of the BFP-T on tinnitus.

Design, Setting, and Participants

This open-label, intention-to-treat randomized clinical trial

prescreened 191 patients with tinnitus and 64 healthy controls (HCs) from June 1, 2012, through October 31, 2013. Participants were 40 adults with bothersome tinnitus for more than 6 months and 20 age-matched HCs. Patients with tinnitus were randomized to a BFP-T or non–BFP-T control group. The

BFP-T was completed online, and assessments were completed at Washington University School of Medicine.

Interventions

Participants in the intervention group were required to complete the BFP-T online 1 hour per day 5 days per week for 8 weeks. Tinnitus assessment, neuroimaging, and cognitive testing were completed at baseline and 8 weeks later. The HCs underwent neuroimaging and cognitive assessments.

Main Outcomes and Measures

The primary outcome measure was the change in Tinnitus Handicap Inventory (THI) score. Behavioral measures, neuroimaging, and cognitive tests were performed before and after the intervention.

Results

A total of 40 patients with tinnitus and 20 HCs participated in the study (median [range] age, 56 [35-64] years in the BFP-T group, 52 [24-64] years in the non–BFP-T group, and 50 [30-64] years in the HC group; 13 [65%] in the BFP-T group, 14 [70%] in the non–BFP-T group, and 13 [65%] in the HC group were males; and 16 [80%] in the BFP-T group, 16 [80%] in the non–BFP-T group, and 15 [75%] in the HC group were white). There was a reduction in the THI score in the BFP-T group (median, 7; range, −16 to 64) and non–BFP-T group (median, 11; range, −6 to 26), but this reduction was not significantly different between the 2 groups (median difference, 0; 95% CI, −10 to 8). There was no difference in cognitive test scores and other behavioral measures. There was a significant difference between baseline and follow-up in functional connectivity in cognitive control regions in the BFP-T group but not in HCs or individuals with untreated tinnitus. Of the 20 patients in the BFP-T group, 10 (50%) self-reported improvement attributable to the intervention, and 6 (30%) reported to be much improved in the domains of tinnitus, memory, attention, and concentration.

Conclusions and Relevance

These findings suggest that the computer-based cognitive training program is associated with self-reported changes in attention, memory, and perception of tinnitus. A possible mechanistic explanation for these changes could be neuroplastic changes in key brain systems involved in cognitive control. Cognitive training programs might have a role in the future treatment of patients with tinnitus.

Trial Registration

clinicaltrials.gov Identifier: NCT01458821

Introduction

An estimated 14% of the firefighter community has tinnitus. Firefighters and policemen have an increased risk of developing tinnitus because of exposure to hazardous levels of intermittent noise. Tinnitus may interfere with multiple facets of daily living, including sleep and activities dependent on seeing and hearing. Previous research revealed that individuals with tinnitus had deficits in verbal learning, auditory attention, and phonemic verbal fluency that depend on attention resources, indicating that tinnitus interferes with attention in some patients. Individuals with tinnitus have poorer working memory, slower processing speeds and reaction times, and deficiencies in selective attention. All of these deficiencies may interfere with firefighter and first-responder readiness and performance.

Neuroplasticity refers to the brain’s ability, both after injury and during typical exogenous and endogenous experience, to change its functional and structural architecture. Neuroplasticity has been the foundation for the creation of several cognitive enhancement programs intended to slow normal aging, improve internal locus of control, and potentially ameliorate disorders, such as attention deficits, dyslexia, stroke, traumatic brain injury, schizophrenia, mild cognitive impairment, and Alzheimer disease. Brain Fitness Program–Tinnitus (BFP-T) is a cognitive training program specially designed by Posit Science to exploit neuroplasticity for preservation and expansion of cognitive health in adults with tinnitus. The objective of our study was to evaluate the effect of BFP-T on tinnitus. We hypothesized that BFP-T would also aid in the recovery of cognitive function affected by the tinnitus.

Methods

Design and Participants

This is a single-institution, open-label, intention-to-treat randomized clinical trial of 40 patients with tinnitus and 20 healthy controls (HCs) recruited from June 1, 2012, through October 31, 2013. The trial protocol can be found in Supplement 1. The CONSORT flow diagram of study participation is shown in Figure 1. Men and women between the ages of 20 and 65 years were recruited from the greater St Louis, Missouri, area fire departments and the public at large. A total of 17 firefighters and first responders completed the study protocol. Because insufficient firefighters enrolled in the trial to meet recruitment goals, we used the Volunteers for Health at Washington University and solicited referrals via the Washington University otolaryngology clinic for the remainder of the study participants. The study was approved by Washington University’s Human Protection Research Office and the Federal Emergency Management Agency before the conduct of the study. All participants provided written informed consent, and data were deidentified at study closure.

Figure 1. CONSORT Flow Diagram.

Figure 1.

BFP-T indicates Brain Fitness Program–Tinnitus.

The patients with tinnitus were required to have nonpulsatile, idiopathic, subjective tinnitus for a duration of 6 months or greater and report being extremely bothered, bothered a lot, or bothered more than a little but not a lot on the overall Global Bother Score assessment of tinnitus. Uninterrupted use of a computer to complete the BFP-T for approximately 1 hour per day 5 days per week for the 8-week duration of the study was required. To avoid the confounding effect of age in cognitive and neuroimaging analyses, HCs were age matched within 5 years to patients with tinnitus. All participants provided audiograms performed within 18 months of the start of the study.

Patients with a history of head trauma, brain lesions or brain surgery, or active depression or patients who had previously used a cognitive training program were excluded. In addition, we excluded patients with tinnitus if their tinnitus was related to cochlear implantation, retrocochlear lesion, Meniere disease, or other known anatomical lesions of the ear or temporal bone or if they had an active workers’ compensation claim or pending litigation-related event.

Intervention

The Posit Science BFP, a cognitive training program that contains 6 interactive training exercises, has been used in a variety of illnesses and conditions. The BFP-T is a proprietary modification of the BFP and contains 11 interactive training exercises (simple acoustic stimuli, continuous speech, and visual stimuli) in an attempt to address the attentional effect of tinnitus. Each exercise focused on 1 of the following: (1) auditory processing speed, (2) discriminating sounds, (3) sound precision, (4) sound sequencing, (5) working memory, and (6) narrative memory. Exercise measures were calibrated to individual performance at the onset of training and adapted in difficulty to maintain an 85% correct response rate and to provide constant progress feedback.

A permuted-block sequence was used for randomization. Study participants randomized to the BFP-T group were required to complete approximately 1 hour of uninterrupted training per day over 5 days per week for a total of 8 weeks. Participants who had not completed the program were sent reminders to do so. The study participants randomized to the non–BFP-T group did not perform any additional tasks.

Behavioral Measures

Assessments were performed at the beginning of the study and at the end of 8 weeks. Information on tinnitus description and history and medical status was collected using the Oregon Hearing Research Center forms (http://www.tinnitusarchive.org/forms). Tinnitus Handicap Inventory (THI), Tinnitus Functional Index (TFI), and the overall Global Bother Score were used to assess severity and bother from tinnitus. All 3 measures of tinnitus bother are self-reported measures. Changes in scores between baseline and postintervention of 17 on the THI and 13 on the TFI were considered clinically meaningful differences. The Global Bother Score measures the global bother from tinnitus in an ordinal scale in response to the following request: “All persons have their own unique problems and attach different importance to these problems. Please indicate the overall amount of disturbance or ‘bother’ that you experience in your life as a result of your tinnitus.”

All participants completed the Patient Health Questionnaire 9 to evaluate depression and the Cognitive Failures Questionnaire to measure difficulties with perception, memory, and motor function. Participants completed the Brief Symptom Inventory 18 to measure somatization, depression, and anxiety; the Whiteley-7 scale to evaluate hypochondriac traits; and the Adult Attention Deficit Hyperactivity Disorder Self-report Scale, version 1.1 to screen for symptoms of adult attention-deficit/hyperactivity disorder.

Cognitive Testing

All participants completed several different cognitive tests both before and after intervention (eMaterial in Supplement 2).

Qualitative Assessment

All patients with tinnitus were asked at the end of the study to qualitatively report how much their tinnitus and their memory or attention had changed compared with the start of the study. In addition, patients were asked to rate the degree of change using a 7-point Likert scale.

Resting-State Functional Connectivity Magnetic Resonance Imaging

Neuroimaging Data Collection

Imaging was performed on a Siemens 3-T Tim Trio magnetic resonance imaging (MRI) scanner at Washington University. Resting-state functional connectivity MRI and anatomical images were collected during the same imaging session. A short description of the acquisition sequence is described here; a more complete description can be found elsewhere. Three 164-frame (6 minutes; repetition time, 2200 milliseconds), blood oxygen level–dependent runs recorded spontaneous brain activity while participants were awake, performed no task, and remained with their eyes closed in a darkened room.

Image Preprocessing

Standard blood oxygen level–dependent image preprocessing was performed as in the study by Wolf et al. A more complete description is provided in the eMaterial in Supplement 2.

Resting-State Analysis of Correlations Among Control Regions

To calculate functional connectivity, we used 10-mm-diameter spherical regions—a group of 264 regions distributed across the entire brain and a subset of 77 of these regions that represented 5 cognitive control systems (ie, cingular opercular, frontal parietal, salience, dorsal attention, and ventral attention). A time series of blood oxygen level–dependent signal intensity was calculated in each of the regions of interest for each participant, within-participant Pearson correlation coefficients were calculated between each pair of regions, and then the Fisher R-Z transformation was performed to ensure normal distribution of data. Object oriented data analysis was used to compare functional connectivity across the brain between days within a participant group and between-participant groups. Object oriented data analysis uses an iterative approach and comparison to the Gibbs distribution to assess the significance of differences found in a multiple dimensional approach.

Statistical Analysis

Descriptive statistics were used to summarize the distribution of demographic and clinical characteristics, as well as the scores of the assessments for each study group. Because the continuous-level variables were not normally distributed, the nonparametric Kruskal-Wallis and Mann-Whitney tests were used to test for significant differences among groups. The χ2 test or Fisher exact test was used to compare distribution of categorical-level variables.

The primary outcome measure for this study was the change before intervention to after intervention in the THI score. Using a 2-sided t test at an α level of .05, we estimated that 17 individuals per group would allow us to be able to detect, with 85% power, a difference of 17 points or more on the THI in the BFP-T group compared with the non–BFP-T control group. This sample size is reasonable for analysis of groupwise differences in neuroimaging data.

Differences between preintervention and postintervention outcome measures were calculated. The median of the difference and the 95% CI for the difference were calculated using the methods of Altman et al. Frequency and relative frequency of patients reaching a clinically meaningful reduction in tinnitus bother as measured by a 17-point reduction in THI score or a 13-point reduction in TFI score were calculated and reported. A Proc Mixed procedure was used to test for significant pre-post changes in either of the outcome measures and to compare the changes between the randomization groups. All statistical tests were 2-sided and were evaluated at the α level of .05. Bonferroni correction was used when needed to adjust the α level for multiple comparisons. SPSS statistical software, version 20.0 (SPSS Inc) and SAS statistical software, version 9.3 were used for statistical analysis.

Results

A total of 40 patients with tinnitus and 20 HCs (median [range] age, 56 [35-64] years in the BFP-T group, 52 [24-64] years in the non–BFP-T group, and 50 [30-64] years in the HC group; male, 13 [65%] in the BFP-T group, 14 [70%] in the non–BFP-T group, and 13 [65%] in the HC group; white, 16 [80%] in the BFP-T group, 16 [80%] in the non–BFP-T group, and 15 [75%] in the HC group) were recruited for the study. Seven patients randomized to the BFP-T study arm withdrew from the study for nonadherence with the program (n = 6) or for personal reasons (n = 1).

As indicated in Table 1, no differences were found in the distribution of main demographic characteristics between the groups. A total of 17 firefighters and first responders completed the study protocol. The number of firefighters in the HC group was higher (10 [50%]) than in the BFP-T group (2 [10%]) and the non–BFP-T group (5 [25%]). Most HC participants (14 [70%]) had no hearing loss, whereas in the groups of participants with tinnitus, most participants (18 [90%] in the BFP-T group and 16 [80%] in the non–BFP-T group) had sensorineural type hearing loss. Of the 20 participants in the BFP-T arm, adherence data were collected for 19 participants. Of these 19 participants, adherence was 86.9% of expected, which is equivalent to completing a mean of 34.8 training sessions daily of the 40 prescribed.

Table 1. Description of the Study Populationa.

Characteristic Brain Fitness Program–Tinnitus
(n = 20)
Non–Brain Fitness Program–Tinnitus
(n = 20)
Healthy Controls
(n = 20)
Age, median (range), y 56 (35-64) 52 (24-64) 50 (30-64)
Sex
Males 13 (65) 14 (70) 13 (65)
Females 7 (35) 6 (30) 7 (35)
Race
White 16 (80) 16 (80) 15 (75)
African American 3 (15) 1 (5) 4 (20)
Other 1 (5) 3 (15) 1 (5)
Handedness
Right 17 (85) 17 (85) 18 (90)
Left 3 (15) 2 (10) 2 (10)
Ambidextrous 0 1 (5) 0
Classification of hearing loss
Normal 1 (5) 4 (20) 14 (70)
Sensorineural 18 (90) 16 (80) 6 (30)
Conductive 1 (5) 0 0
Firefighter 2 (10) 5 (25) 10 (50)
Tinnitus, median (range)
Handicap Index 37 (14-80) 36 (12-70) NA
Functional Index 37.8 (20.4-62.8) 43 (6.4-80.4) NA
Duration, y 3.8 (0.5-35.0) 9.0 (0.5-30.0) NA
Global Bother Score NA
Not bothered 0 0 NA
Bothered a little 0 0 NA
Bothered more than a little but not a lot 12 (60) 15 (75) NA
Bothered a lot 7 (35) 5 (25) NA
Extremely bothered 1 (5) 0 NA
Brief Symptom Inventory 18 score, median (range) 3.0 (0-18) 2.5 (0-21) NA
Patient Health Questionnaire 9 score, median (range) 2.0 (0-9) 2.0 (0-9) NA
Whiteley-7 Scale score, median (range) 0.0 (0-5) 0.0 (0-3) NA
Cognitive Failure Questionnaire score, median (range) 30.5 (18.0-46.0) 36.0 (15.0-54.0) NA
Adult Attention Deficit Hyperactivity Disorder Self-report Scale score, median (range) 22.5 (11.0-42.0) 23.0 (8.0-45.0) NA

Abbreviation: NA, not applicable.

a

Data are presented as number (percentage) of participants unless otherwise indicated. Medians (ranges) are used for reporting distribution of continuous-level characteristics.

Behavioral Measures

Participants with tinnitus randomized to the BFP-T group were similar to those randomized to the non–BFP-T group (Table 1). Changes in each of the behavioral measures and the THI, TFI, Brief Symptom Inventory 18, Patient Health Questionnaire 9, Whiteley-7 scale, Cognitive Failures Questionnaire, and Adult Attention Deficit Hyperactivity Disorder Self-report Scale scores during the 8 weeks of the intervention were calculated for all patients with tinnitus as preintervention measure minus postintervention measure (Table 2). The mixed within-between participant analyses revealed that, although there is significant reduction after intervention compared with before intervention, this reduction was not significantly different between the study groups (P = .51).

Table 2. Comparison of Change (Pre-Post) Between Intervention and Nonintervention Tinnitus Groups.

Measure Score, Median (Range) Median Difference (95% CI)
Brain Fitness Program–Tinnitus
(n = 20)
Non–Brain Fitness Program–Tinnitus
(n = 20)
THI 7.0 (−16.0 to 64.0) 11.0 (−6 .0 to 26.0) 0 (−10.0 to 8.0)
TFI 8.4 (−14.0 to 47.2) 7.4 (−4.4 to 25.2) 0.8 (−7.2 to 5.6)
BSI-18 0 (−13.0 to 12.0) −1.0 (−9.0 to 6.0) −1.0 (−5.0 to 1.0)
PHQ-9 0.5 (−9.0 to 9.0) 0 (−4.0 to 6.0) 0 (−1.0 to 1.0)
Whiteley-7 scale 0 (−4.0 to 5.0) 0 (−1.0 to 2.0) 0 (−1.0 to 0)
CFQ 1.5 (−23.0 to 26.0) 2.0 (−12.0 to 11.0) 0 (−8.0 to 4.0)
ASRS 2.0 (−31.0 to 16.0) 0 (−12.0 to 5.0) −3.0 (−9.0 to 3.0)

Abbreviations: ASRS, Adult Attention Deficit Hyperactivity Disorder Self-report Scale; BSI-18, Brief Symptom Inventory 18; CFQ, Cognitive Failure Questionnaire; PHQ-9, Patient Health Questionnaire 9; TFI, Tinnitus Functional Index; THI, Tinnitus Handicap Index.

A clinically meaningful reduction of 17 points on the THI was observed in 7 patients (35%) randomized to the BFP-T group and 3 patients (15%) randomized to the non–BFP-T group for a difference of 20% (95% CI, −0.6% to 46%). A clinically meaningful reduction of at least 13 points on the TFI was observed in 6 patients (30%) randomized to the BFP-T group and 5 patients (25%) randomized to the non–BFP-T group for a difference of 5% (95% CI, −0.23% to 33%).

Cognitive Test Results

Distribution of pre-post intervention change in the scores of each of the neurocognitive tests used for each of the study groups is given in eTable 1 in Supplement 2.

Neuroimaging Results

There were 27 patients (13 in the BFP-T group and 14 in the non–BFP-T group) and 16 HCs who had enough quality frames of MRI data to be included in the neuroimaging analysis. Table 3 lists the Bonferroni-corrected P values for comparisons of differences on many groups of regions. At baseline, no significant difference was found between HCs and patients with tinnitus and between patients with tinnitus randomized to the BFP-T group and to the non–BFP-T group (P = .64) in functional connectivity across 264 regions distributed across the entire brain.

Table 3. Functional Connectivity Magnetic Resonance Imaging Results Among Different Region Groupsa.

Comparison 264 Whole-Brain Regions 77 Regions in 5 Control Systems 14 Cingular Opercular and 18 Salience 14 Cingular Opercular Alone
Baseline
Control vs tinnitus .56 .54 .66 .74
Non–BFP-T vs BFP-T .64 .62 .42 .65
Baseline vs follow-up
Controls .42 .48 .19 .21
Non–BFP-T .71 .86 .63 .84
BFP-T .09 .001 <.001b .04b
Follow-up
Non–BFP-T vs BFP-T .53 .56 .28 .10

Abbreviation: BFP-T, Brain Fitness Program–Tinnitus.

a

Data are the Bonferroni-corrected P values for comparisons of differences on many groups of regions. The group 264 whole-brain regions refers to a published set of regions sampling the entire brain; the remaining region sets are subsets of this group. The group 77 regions in 5 control systems refers to all regions in the cingular opercular (14 regions), frontal parietal (25 regions), salience (18 regions), dorsal (11 regions), and ventral (9 regions) attention control networks. The 14 cingular opercular and 18 salience group refers to only the 32 regions in the cingular opercular and salience control networks. The 14 cingular opercular alone group refers to analyses performed on only the cingular opercular control regions.

b

P < .05.

Comparing participants between baseline and 8-week follow-up (Table 3) reveals that, although there is no difference for the HCs (P = .19 for baseline and P = .21 for 8-week follow-up) and non–BFP-T tinnitus group (P = .63 for baseline and P = .84 for 8-week follow-up), there are statistically significant differences for the BFP-T group after the intervention for the control, cingular opercular and salience, and cingular opercular alone groups of regions. At the 8-week follow-up, the P values for the difference in connectivity between the non–BFP-T and BFP-T groups were .28 in the cingular opercular and salience group and .10 for the cingular opercular alone group. The eFigure in Supplement 2 shows that network connections are stronger after intervention for the patients in the BFP-T group but not for the patients in the non–BFP-T group or the HCs.

Qualitative Assessment

When asked, “Compared to the start of the study, how has your tinnitus changed?” 10 participants (50%) randomized to the BFP-T group reported improvement in their tinnitus compared with the start of the study (Figure 2). Most patients (15 [75%]) randomized to the non–BFP-T group reported no change. Compared with the start of the study, improvement in memory and attention was reported by most patients (14 [70%]) in the BFP-T group, whereas no one in the non–BFP-T group reported improvement, and most (19 [95%]) reported no change (Figure 2).

Figure 2. Comparison of Self-reported Change in Tinnitus and Attention and Memory Between the 2 Study Groups.

Figure 2.

BFP-T indicates Brain Fitness Program–Tinnitus.

Testimonials of patients randomized to the BFP-T group were explored to better understand the effect of BFP-T on tinnitus and are presented in eTable 2 in Supplement 2. Of the 20 patients in the BFP-T group, 10 (50%) self-reported improvement because of the intervention, including 6 (30%) who reported being much improved. The improvements endorsed by the participants were mainly in the domains of tinnitus, memory, attention, and concentration. For each participant, there is wide variability in response to intervention as measured by the self-reported global response question, change in THI score, and change in TFI score.

Two patients in the BFP-T group and 3 patients in the non–BFP-T group reported changes in health status, and 5 reported medication changes during the study period, but none were associated with the study. Thirty-nine patients (98%) would recommend this program to a friend.

Discussion

In this study, we found that patients with tinnitus who engaged in a computer-based cognitive training program endorsed improvements in tinnitus perception, memory, attention, and concentration compared with patients who did not participate. However, no difference was observed in any of the behavioral measures, which we believe may be in part attributable to the limitations of the existing tinnitus instruments. In addition, we found increased functional connectivity strength in cognitive control neural networks among the intervention group, particularly the cingular opercular network, which is thought to set and maintain task objectives. Although this finding suggests a neuroplastic mechanism for the observed changes, we were unable to identify consistent changes in cognitive testing associated with the neuroimaging findings. On the basis of our broad recruitment and enrollment strategies, we believe the results of this study are applicable to most patients with tinnitus who seek medical attention.

The BFP exploits the mechanisms of neuroplasticity, reflecting a change in connectional strength at the synapse and multisynaptic circuit levels. An increasing body of literature now supports the contention that our observed behaviors are a product of complex, multilevel recurrent networks rather than changes at the level of a single neuron. Therefore, the BFP focuses on improving the many deficits across the various system levels that contribute to the degradation of the neurologic representation of information that the patient is struggling to record. The program’s training tasks are constructed with highly salient training targets held in working memory. Merzenich et al studied the parametric dimensions of progressive stepwise change and the dose-response (repetitive stimulus trial) conditions required for progressively driving enduring change. The training strategies used in the cognitive training programs created at Posit Science are informed by these studies in an attempt to optimize achievable rates and magnitudes of learning-driven change. There is considerable debate regarding the true benefit of cognitive training programs, including the generalizability of the trained task to the targeted domain, whether positive changes are noted in everyday activities, and duration and durability of the gains.

A previous double-blind, randomized clinical trial explored the effect of a neuroplasticity-enhancing drug, d-cycloserine, to facilitate learning and tinnitus response after the use of a computer-assisted program for 34 patients with bothersome tinnitus. The d-cycloserine and placebo groups had a significant improvement in median TFI score and self-reported cognitive deficits after participation in the program. However, patients in the d-cycloserine group had a significantly greater improvement in self-reported cognitive deficits compared with the placebo group.

Previous research found significant abnormalities in key cortical neural networks among patients with bothersome tinnitus. The previous study also found significant changes in functional connectivity that appeared to be normalized within the frontal parietal and cingular opercular networks among a group of patients with tinnitus who completed an 8-week, mindfulness-based stress reduction program. We were unable to identify abnormalities in these same networks among patients without bothersome tinnitus and patients who had no change in tinnitus after repetitive transcranial magnetic stimulation to the tempoparietal junction. In a previous study, attention to motion artifact was not as strict as in this current study. Because inclusion of motion artifact induces differences between groups, caution should be exercised when interpreting the results of studies that do not remove higher-motion MRI frames. The key findings of significant change in functional connectivity that involves regions in the cingular opercular and salience networks is consistent with the hypothesis that neuroplasticity is the mechanism by which the cognitive training program appears to treat tinnitus and comorbidities.

The improvements endorsed by the participants in the current study are mainly reported for tinnitus, memory, attention, and concentration. Of interest, some patients who reported no change or minimal improvement changes in their tinnitus when asked to compare how the tinnitus currently feels with the start of the study reported to have learned a few strategies to ignore tinnitus. Reading our participants’ poststudy comments, we believe that we could have defined the questions and clarified the expectations better. For some patients, being able to ignore their tinnitus or learn how to better cope with tinnitus was defined as much improved, whereas for others, the same effect was defined as no change. Related to this ambiguity in the patients’ global response is the question of the ability of the THI and TFI to reliably and accurately capture the experience of patients with tinnitus. The failure of retrospective, patient-reported outcome measures to accurately capture the physical, functional, and emotional problems related to a particular condition, which has significant moment-to-moment variability, has been previously described. A former study found that these reports are prone to recall bias and errors in summarizing prior events and often emphasize the patient’s current state and environment as well as the most recent and extreme events.

Limitations

With a 1-time assessment, the exact time of measurement may not reflect the typical burden of tinnitus symptoms. In fact, given the large amount of moment-to-moment variability in tinnitus, it is unclear how to define what typical means. Thus, we believe that the assessment of the preintervention to postintervention tinnitus burden using the THI and TFI was a significant limitation in the present study (eTable 2 in Supplement 2). In addition, many participants’ qualitative descriptions of intervention effect were not corroborated by the patient-reported outcome measures. We believe the assessment of the effect of the cognitive training program is complicated by the failure to include outcome measures that accurately reflect the fluctuating and variable nature of tinnitus.

The generalizability of our findings might be limited because of the high percentage of firefighters and first responders in our sample. It is well known that firefighters’ working conditions affect cognition, memory, and attention; therefore, firefighters may derive more benefit from cognitive enhancement programs than the general population. Other limitations of the current research program include a large percentage of withdrawals from the intervention group, use of a new and never-tested modification of the BFP, failure to include an active control, and lack of participant masking to the intervention. The BFP-T was a modification of the BFP with the goal of addressing the persistent attentional effect of tinnitus. Numerous computer problems with the program were identified. These problems were eventually corrected, but the investigators suspect that they could have affected the efficacy of the intervention. We also believe that a longer intervention exposure time would result in greater behavioral and resting-state functional connectivity MRI changes. The identification of an adequate placebo for cognitive training rehabilitation programs is challenging. The main challenge with selecting a rehabilitation training protocol as a control is that the various training protocols differ in so many ways that it is hard to ascribe the cause of training-induced differences between the groups to the training program. Thus, we used a wait list–type, no intervention control group program. Another limitation of this study was that the participants were not masked to the intervention. Thus, those participants randomized to the intervention group could have reported falsely elevated improvements because of expectation bias and belief in the efficacy of the BFP-T. We believe that future research into the role of brain training rehabilitation protocols for tinnitus should include an active control that reflects standard of care or the best current treatment.

Conclusions

Participants enrolled in this randomized clinical trial endorsed improvements in domains of tinnitus perception, attention, memory, and concentration. However, no changes in behavioral measures were observed between the 2 tinnitus study groups. Neuroimaging changes in brain systems responsible for attention and cognitive control were observed in patients who used the BFP-T. Several specific limitations of the trial prevent definitive conclusions about the role of this particular cognitive training rehabilitation program, or such programs in general, for the treatment of tinnitus. Nevertheless, we believe that continued research into the role of cognitive training rehabilitation programs is supported by the findings of this study, and the role of neuroplasticity seems to hold a prominent place in the future treatments for tinnitus.

Supplement 1.

Trial Protocol

Supplement 2.

eMaterial. Study Methods and Results

eTable 1. Comparison of the Change (Pre-Post) in Neurocognitive Tests’ Standardized Scores Among the 3 Groups

eTable 2. Self-reported Measures and Testimonials

eFigure. Connectivity Maps for BFP-T, Non-BFP-T, and Healthy Control Participants Showing the Differences Between Baseline and Follow-up in the 77 Cognitive Control Network Regions

References

  • 1.Tubbs R, Flesch J. Health Hazard Evaluation Report: HETA 81-059-1045. Atlanta, GA: Centers for Disease Control and Prevention; 1982. [Google Scholar]
  • 2.Hong O, Samo D, Hulea R, Eakin B. Perception and attitudes of firefighters on noise exposure and hearing loss. J Occup Environ Hyg. 2008;5(3):210-215. [DOI] [PubMed] [Google Scholar]
  • 3.Hong O, Samo DG. Hazardous decibels: hearing health of firefighters. AAOHN J. 2007;55(8):313-319. [DOI] [PubMed] [Google Scholar]
  • 4.Winston R. Stop the ringing: loud noises from sirens, alarms, power tools, and motors can put firefighters at risk for tinnitus. Fire Chief. 2010;54(3):60. [Google Scholar]
  • 5.Pierce KJ, Kallogjeri D, Piccirillo JF, Garcia KS, Nicklaus JE, Burton H. Effects of severe bothersome tinnitus on cognitive function measured with standardized tests. J Clin Exp Neuropsychol. 2012;34(2):126-134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Hallam RS, McKenna L, Shurlock L. Tinnitus impairs cognitive efficiency. Int J Audiol. 2004;43(4):218-226. [DOI] [PubMed] [Google Scholar]
  • 7.Rossiter S, Stevens C, Walker G. Tinnitus and its effect on working memory and attention. J Speech Lang Hear Res. 2006;49(1):150-160. [DOI] [PubMed] [Google Scholar]
  • 8.Mahncke HW, Bronstone A, Merzenich MM. Brain plasticity and functional losses in the aged: scientific bases for a novel intervention. Prog Brain Res. 2006;157:81-109. [DOI] [PubMed] [Google Scholar]
  • 9.Nahum M, Lee H, Merzenich MM. Principles of neuroplasticity-based rehabilitation In: Merzenich MM, Nahum M, Van Vleet TM, eds. Changing Brains—Applying Brain Plasticity to Advance and Recover Human Ability. Amsterdam, the Netherlands: Elsevier; 2013:141-171. [DOI] [PubMed] [Google Scholar]
  • 10.Willis SL, Tennstedt SL, Marsiske M, et al. ; ACTIVE Study Group . Long-term effects of cognitive training on everyday functional outcomes in older adults. JAMA. 2006;296(23):2805-2814. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Wolinsky FD, Vander Weg MW, Martin R, et al. Does cognitive training improve internal locus of control among older adults? J Gerontol B Psychol Sci Soc Sci. 2010;65(5):591-598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Moriyama TS, Polanczyk G, Caye A, Banaschewski T, Brandeis D, Rohde LA. Evidence-based information on the clinical use of neurofeedback for ADHD. Neurotherapeutics. 2012;9(3):588-598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Simos PG, Fletcher JM, Bergman E, et al. Dyslexia-specific brain activation profile becomes normal following successful remedial training. Neurology. 2002;58(8):1203-1213. [DOI] [PubMed] [Google Scholar]
  • 14.Dimyan MA, Cohen LG. Neuroplasticity in the context of motor rehabilitation after stroke. Nat Rev Neurol. 2011;7(2):76-85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Levin HS. Neuroplasticity following non-penetrating traumatic brain injury. Brain Inj. 2003;17(8):665-674. [DOI] [PubMed] [Google Scholar]
  • 16.Fisher M, Holland C, Merzenich MM, Vinogradov S. Using neuroplasticity-based auditory training to improve verbal memory in schizophrenia. Am J Psychiatry. 2009;166(7):805-811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Herrera C, Chambon C, Michel BF, Paban V, Alescio-Lautier B. Positive effects of computer-based cognitive training in adults with mild cognitive impairment. Neuropsychologia. 2012;50(8):1871-1881. [DOI] [PubMed] [Google Scholar]
  • 18.Gigler KL, Blomeke K, Shatil E, Weintraub S, Reber PJ. Preliminary evidence for the feasibility of at-home online cognitive training with older adults. Gerontechnology. 2013;12(1):26-35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Busner J, Targum SD. The Clinical Global Impressions Scale: applying a research tool in clinical practice. Psychiatry (Edgmont). 2007;4(7):28-37. [PMC free article] [PubMed] [Google Scholar]
  • 20.Mahncke HW, Connor BB, Appelman J, et al. Memory enhancement in healthy older adults using a brain plasticity-based training program: a randomized, controlled study. Proc Natl Acad Sci U S A. 2006;103(33):12523-12528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Smith GE, Housen P, Yaffe K, et al. A cognitive training program based on principles of brain plasticity: results from the Improvement in Memory with Plasticity-based Adaptive Cognitive Training (IMPACT) study. J Am Geriatr Soc. 2009;57(4):594-603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wolinsky FD, Unverzagt FW, Smith DM, Jones R, Stoddard A, Tennstedt SL. The ACTIVE cognitive training trial and health-related quality of life: protection that lasts for 5 years. J Gerontol A Biol Sci Med Sci. 2006;61(12):1324-1329. [DOI] [PubMed] [Google Scholar]
  • 23.Wolinsky FD, Mahncke H, Vander Weg MW, et al. Speed of processing training protects self-rated health in older adults: enduring effects observed in the multi-site ACTIVE randomized controlled trial. Int Psychogeriatr. 2010;22(3):470-478. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Newman CW, Jacobson GP, Spitzer JB. Development of the Tinnitus Handicap Inventory. Arch Otolaryngol Head Neck Surg. 1996;122(2):143-148. [DOI] [PubMed] [Google Scholar]
  • 25.Newman CW, Sandridge SA, Jacobson GP. Psychometric adequacy of the Tinnitus Handicap Inventory (THI) for evaluating treatment outcome. J Am Acad Audiol. 1998;9(2):153-160. [PubMed] [Google Scholar]
  • 26.Meikle MB, Henry JA, Griest SE, et al. The Tinnitus Functional Index: development of a new clinical measure for chronic, intrusive tinnitus. Ear Hear. 2012;33(2):153-176. [DOI] [PubMed] [Google Scholar]
  • 27.Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Broadbent DE, Cooper PF, FitzGerald P, Parkes KR. The Cognitive Failures Questionnaire (CFQ) and its correlates. Br J Clin Psychol. 1982;21(pt 1):1-16. [DOI] [PubMed] [Google Scholar]
  • 29.Derogatis LR. BSI-18 Administration, Scoring and Procedures Manual. Minneapolis, MN: NCS Pearson Inc; 2000. [Google Scholar]
  • 30.Fink P, Ewald H, Jensen J, et al. Screening for somatization and hypochondriasis in primary care and neurological in-patients: a seven-item scale for hypochondriasis and somatization. J Psychosom Res. 1999;46(3):261-273. [DOI] [PubMed] [Google Scholar]
  • 31.Kessler RC, Adler L, Ames M, et al. The World Health Organization Adult ADHD Self-report Scale (ASRS): a short screening scale for use in the general population. Psychol Med. 2005;35(2):245-256. [DOI] [PubMed] [Google Scholar]
  • 32.Piccirillo JF, Hardin FM, Nicklaus J, et al. Cognitive impairment after chemotherapy related to atypical network architecture for executive control. Oncology. 2015;88(6):360-368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Wolf TJ, Doherty M, Kallogjeri D, et al. The feasibility of using metacognitive strategy training to improve cognitive performance and neural connectivity in women with chemotherapy-induced cognitive impairment. Oncology. 2016;91(3):143-152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Power JD, Cohen AL, Nelson SM, et al. Functional network organization of the human brain. Neuron. 2011;72(4):665-678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Fisher RA. Frequency distribution of the values of the correlation coefficient in samples from an indefinitely large population. Biometrika. 2014;10(4):507-521. [Google Scholar]
  • 36.La Rosa PS, Brooks TL, Deych E, et al. Gibbs distribution for statistical analysis of graphical data with a sample application to fcMRI brain images. Stat Med. 2016;35(4):566-580. [DOI] [PubMed] [Google Scholar]
  • 37.Altman DG, Machin D, Bryant TN, Gardner MJ. Statistics With Confidence. 2nd ed Bristol, England: BMJ Books; 2000. [Google Scholar]
  • 38.Dosenbach NU, Fair DA, Miezin FM, et al. Distinct brain networks for adaptive and stable task control in humans. Proc Natl Acad Sci U S A. 2007;104(26):11073-11078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Dosenbach NU, Fair DA, Cohen AL, Schlaggar BL, Petersen SE. A dual-networks architecture of top-down control. Trends Cogn Sci. 2008;12(3):99-105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Merzenich MM. Soft-Wired. San Francisco, CA: Parnassus Publishing; 2013. [Google Scholar]
  • 41.Edelman G. Neural Darwinism: The Theory of Neuronal Group Selection. New York, NY: Basic Books; 1987. [DOI] [PubMed] [Google Scholar]
  • 42.Merzenich MM, Miller S, Jenkins WM, et al. Amelioration of the acoustic reception and speech reception deficits underlying language-based learning impairments In: Euler CV, ed. Basic Neural Mechanisms in Cognition and Language. Amsterdam, the Netherlands: Elsevier; 1998:143-172. [Google Scholar]
  • 43.Hambrick DZ. Brain training doesn’t make you smarter: scientists doubt claims from brain training companies. Scientific American https://www.scientificamerican.com/article/brain-training-doesn-t-make-you-smarter/. Published December 2, 2014. Accessed August 10, 2016. [Google Scholar]
  • 44.A consensus on the brain training industry from the scientific community. http://longevity3.stanford.edu/blog/2014/10/15/the-consensus-on-the-brain-training-industry-from-the-scientific-community/. Accessed August 10, 2016.
  • 45.Krings JG, Wineland A, Kallogjeri D, et al. A novel treatment for tinnitus and tinnitus-related cognitive difficulties using computer-based cognitive training and d-cycloserine. JAMA Otolaryngol Head Neck Surg. 2015;141(1):18-26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Burton H, Wineland A, Bhattacharya M, Nicklaus J, Garcia KS, Piccirillo JF. Altered networks in bothersome tinnitus: a functional connectivity study. BMC Neurosci. 2012;13(1):3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Roland LT, Lenze EJ, Hardin FM, et al. Effects of mindfulness based stress reduction therapy on subjective bother and neural connectivity in chronic tinnitus. Otolaryngol Head Neck Surg. 2015;152(5):919-926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Wineland AM, Burton H, Piccirillo J. Functional connectivity networks in nonbothersome tinnitus. Otolaryngol Head Neck Surg. 2012;147(5):900-906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Roland LT, Peelle JE, Kallogjeri D, Nicklaus J, Piccirillo JF. The effect of noninvasive brain stimulation on neural connectivity in tinnitus: a randomized trial. Laryngoscope. 2016;126(5):1201-1206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Peelle JE, Powers J, Cook PA, Smith EE, Grossman M. Frontotemporal neural systems supporting semantic processing in Alzheimer’s disease. Cogn Affect Behav Neurosci. 2014;14(1):37-48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008;4:1-32. [DOI] [PubMed] [Google Scholar]
  • 52.Erskine A, Morley S, Pearce S. Memory for pain: a review. Pain. 1990;41(3):255-265. [DOI] [PubMed] [Google Scholar]
  • 53.Wilson MB, Kallogjeri D, Joplin CN, et al. Ecological momentary assessment of tinnitus using smartphone technology: a pilot study. Otolaryngol Head Neck Surg. 2015;152(5):897-903. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Jacoby N, Ahissar M. What does it take to show that a cognitive training procedure is useful? a critical evaluation In: Merzenich MM, Nahum M, Van Vleet TM, eds. Changing Brains: Applying Brain Plasticity to Advance and Recover Human Ability. Vol 207 Amsterdam, the Netherlands: Elsevier; 2013:121-134. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement 1.

Trial Protocol

Supplement 2.

eMaterial. Study Methods and Results

eTable 1. Comparison of the Change (Pre-Post) in Neurocognitive Tests’ Standardized Scores Among the 3 Groups

eTable 2. Self-reported Measures and Testimonials

eFigure. Connectivity Maps for BFP-T, Non-BFP-T, and Healthy Control Participants Showing the Differences Between Baseline and Follow-up in the 77 Cognitive Control Network Regions


Articles from JAMA Otolaryngology-- Head & Neck Surgery are provided here courtesy of American Medical Association

RESOURCES