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Transcranial direct current stimulation and
cognitive training for working memory in Huntington’s disease Clare M. Eddy1, Kimron Shapiro2, Andrew Clouter2, Peter C. Hansen2, Hugh E. Rickards1 1 Department of Neuropsychiatry, BSMHFT National Centre for Mental Health, Birmingham, UK & College of Medical and Dental Sciences, University of Birmingham, UK 2 School of Psychology, College of Life and Environmental Sciences, University of Birmingham, UK BACKGROUND AND AIMS: Transcranial direct current stimulation (tDCS: Figure 1) involves passing a gentle electrical current across the skull. This technique can enhance brain function when combined with a cognitive task. For example, tDCS can improve executive functions in Alzheimer’s disease [1] and Parkinson’s disease [2]. One aspect of cognition that is frequently impaired in Huntington’s disease (HD) is working memory (WM), a short-term memory system used to maintain, manipulate and update information [3]. WM is integral to everyday skills such as comprehension [4] and reasoning [5]. In HD, WM deficits can precede motor symptom onset [6] and are correlated with reduced functional capacity [7]. Previous studies have enhanced WM in healthy participants via tDCS over dorsolateral prefrontal cortex (DLPFC) [8]. We conducted a double-blind sham controlled trial of left DLPFC tDCS with WM training in HD. Figure 1. Prof Rickards kindly showcases this season’s trend: the tDCS cap with designer electrodes METHOD: Participants were 20 HD gene carriers (9 females; Table 1). Visit one commenced with consent and demographic interview, followed by baseline clinical and cognitive assessments (executive functions, motor assessment [9]). Participants were then given instructions and practice on the computerised 1-back and 2-back tests in separate blocks. These tests showed a stream of letters appearing one by one on the computer screen and participants pressed a button if the letter on screen matched the letter immediately before (e.g. N,N) or 2 before (e.g. N,Y,N) tests. They completed pre-stimulation tests on these two measures, plus the Digit Ordering Test-Adapted (DOT-A [10]: recall a series of digits in ascending order e.g. 3,6,7,2,4 = 2,3,4,6,7) and Stroop colour word test (control task). They then received anodal or sham stimulation, while completing further blocks of 1-back and 2-back. Immediately after stimulation, participants completed post-stimulation tests on the above measures in the same order, and were asked about side-effects. At visit two (one week later) participants received the other stimulation condition, and were debriefed. Real stimulation proceeded with ramp up of 60 seconds, 1500mA anodal tDCS over left DLPFC for 15 minutes, then 60 seconds ramp down. For sham, participants received only ramp up and down to create a similar sensation. Both patient and assessor were blinded to condition order, which was randomised across participants. In case of stimulation termination due to skin resistance, the software was programmed to terminate during some sham sessions, maintaining blinding. Table 1. Participant characteristics PP Age Disease burden UHDRS motor score Med Baseline WAIS forward Baseline WAIS back Baseline verbal fluency Baseline semantic fluency HADS dep HADS anx 1 54 513 62 MTZ 5 3.5 45 36 2 65 422.5 59 TBZ 5.5 3 12 24 4 50 425 49 CMZ 18 25 225 42 AMY/MZ 2.5 16 33 11 8 279 58 FLX 1.5 19 21 14 6 6.5 26 7 56 364 N 52 527 22 9 275 53 51 13 10 377 46 48 120 20 SRT 35 28 61 457.5 73 RP/SRT 15 43 279.5 AMY/CTL 57 375 30 4.5 68 374 CTL 72 396 27 17 55 OZ/VFX 216 319 23 38 41 202.5 39 44 Figure 2. Performance on the Digit Ordering Test-Adapted Left axis: Mean score, pre-stimulation (Pre) and post-stimulation (Post) in the sham-stimulation (Sham) and real stimulation (tDCS) sessions. Right axis: The difference between the pre and post stimulation mean scores for the sham and tDCS sessions. Error bars represent 95% confidence intervals. Figure 3. Correlation between change in working memory span on the DOT-A pre to post-test and UHDRS motor score at baseline Change in working memory span is in number of digits on the Digit Ordering Test-Adapted; motor symptom severity is as measured using the Unified Huntington’s Disease Rating Scale. AMY: amitryptiline; CMZ: carbamazepine; CTL: citalopram; FLX: fluoxetine; HADS: Hospital Anxiety and Depression Scale; Med: medication; MZ: mirtazapine; OZ: olanzapine; PP: participant; RP: risperidone; SRT: sertraline; TBZ: tetrabenazone; VFX: venlafaxine; WAIS: Wechsler Adult Intelligence Scale. RESULTS: Paired t-tests indicated differences from pre to post-test on specific measures. There was a significant improvement in patients’ WM span for tDCS (p=.018; Figure 2), but no significant difference for sham (p=.614). In addition, there was no difference for pre-test WM scores in the two conditions (p=.748) but there was for post-test (p<.05; greater WM span for tDCS). 2-back errors also reduced after tDCS (p=.029) but were not significantly less after sham (p=.882). However, neither pre- (p=.122) nor post-test scores (p=.254) differed for the two conditions. Time to complete the Stroop decreased after both tDCS (p=0.14) and sham (p=.015). This finding may reflect effort as it was the final task completed. No order effects were found. There was a positive correlation (p=.008) between motor symptoms and gains in WM span for tDCS (Figure 3), but not for sham. Patients with poorer baseline category fluency (p=.014) also showed greater improvement in WM after tDCS. A few mild side-effects (tingling, sleepiness, concentration effects) were reported, but with no difference between tDCS and sham. CONCLUSIONS: Dorsolateral prefrontal tDCS appears well tolerated in HD and could enhance working memory span. Motor symptoms and verbal fluency scores may help identify patients who are most likely to benefit from this intervention. Our findings encourage further trials of tDCS alone or in combination with cognitive tasks or therapy to treat other symptoms in HD. REFERENCES [1] Hsu WY, Ku Y, Zanto TP, Gazzaley A: Effects of noninvasive brain stimulation on cognitive function in healthy aging and Alzheimer's disease: a systematic review and meta-analysis. Neurobiol Aging 2015; 36(8):2348–59. [2] Doruk D, Gray Z, Bravo GL, Pascual-Leone A, Fregni F: Effects of tDCS on executive function in Parkinson's disease. Neurosci Lett 2014; 582:27–31. [3] Baddeley A: Working memory. Science 1992; 255:556–9. [4] Daneman M, Carpenter PA: Individual differences in working memory and reading. J Verb Learn Verb Behav 1980; 19(4):450–66. [5] Kane M, Hambrick D, Tuholski S, Wilhelm O, Payne T, Engle R: The generality of working memory capacity: A latent-variable approach to verbal and visuospatial memory span and reasoning. J Exp Psychol Gen 2004; 133(2):189–217. [6] You SC, Geschwind MD, Sha SJ, et al: Executive functions in premanifest Huntington's disease. Mov Disord 2014; 29(3):405–9. [7] Eddy CM, Rickards HE: Cognitive deficits predict poorer functional capacity in Huntington's disease: but what is being measured? Neuropsychology 2015; 29(2):268–73. [8] Andrews SC, Hoy KE, Enticott PG, et al: Improving working memory: the effect of combining cognitive activity and anodal transcranial direct current stimulation to the left dorsolateral prefrontal cortex. Brain Stimul 2011; 4(2):84–9. [9] Huntington Study Group: Unified Huntington’s Disease Rating Scale: Reliability and Consistency. Mov Disord 1996; 11: [10] Werheid K, Hoppe C, Thöne A, Müller U, Müngersdorf M, von Cramon DY: The Adaptive Digit Ordering Test: clinical application, reliability, and validity of a verbal working memory test. Arch Clin Neuropsychol 2002; 17(6):547–65. This research was funded by the Jacques and Gloria Gossweiler Foundation
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