| Literature DB >> 29067352 |
Benjamin M Hampstead1,2,3,4, Krishnankutty Sathian4,5,6,7, Marom Bikson8, Anthony Y Stringer4,7.
Abstract
INTRODUCTION: Memory deficits characterize Alzheimer's dementia and the clinical precursor stage known as mild cognitive impairment. Nonpharmacologic interventions hold promise for enhancing functioning in these patients, potentially delaying functional impairment that denotes transition to dementia. Previous findings revealed that mnemonic strategy training (MST) enhances long-term retention of trained stimuli and is accompanied by increased blood oxygen level-dependent signal in the lateral frontal and parietal cortices as well as in the hippocampus. The present study was designed to enhance MST generalization, and the range of patients who benefit, via concurrent delivery of transcranial direct current stimulation (tDCS).Entities:
Keywords: Aging; Alzheimer's disease; Cognitive rehabilitation; Cognitive training; Dementia; Learning; Memory; Neuromodulation; Neurorehabilitation; Neurostimulation; fMRI; tDCS
Year: 2017 PMID: 29067352 PMCID: PMC5651427 DOI: 10.1016/j.trci.2017.04.008
Source DB: PubMed Journal: Alzheimers Dement (N Y) ISSN: 2352-8737
Fig. 1Schedule of enrollment, interventions, and assessments. Abbreviations: ABR, autobiographical memory recall; EMS, ecological memory simulations; fMRI, functional magnetic resonance imaging; FNGT, face-name generalization task; OLTT, Object Location Touchscreen Test; HD-tDCS, high definition transcranial direct current stimulation; MMQ, Multifactorial Memory Questionnaire; MST, mnemonic strategy training.
Properties of the face-name task used in fMRI
| SET A | SET B | SET C | ||
|---|---|---|---|---|
| Popularity | 90.06 (129.63) | 87.34 (107.09) | 87.22 (86.91) | 0.007, |
| Letters | 5.50 (0.51) | 5.50 (0.51) | 5.53 (0.51) | 0.040, |
| Ethnicity | χ2(2) | |||
| Minority | 2.155, | |||
| Mean rank | 53.5 | 46 | 46 | |
| Gender | ||||
| Male | 0.248, | |||
| Mean rank | 50 | 48.5 | 47 |
Popularity of ranking is based on Social Security data and assessed by approximate age (by decade) of face.
Number of letters in each name.
Properties of the object-location task used in fMRI
| List A | List B | List C (3) | ||
|---|---|---|---|---|
| Frequency | 49.62 (128.45) | 20.86 (35.47) | 37.66 (86.02) | 0.747, |
| Percentage | 9.99 (17.58) | 6.71 (8.71) | 9.32 (16.45) | 0.412, |
| Letters | 5.63 (2.25) | 6.10 (1.77) | 5.70 (1.60) | 0.533, |
Frequency per million words based on corpus developed by Brysbaert and New (2009). Moving beyond Kucera and Francis: a critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior Research Methods, 41(4), 977–990.
Percentage of times word appears in a film (within the corpus).
Number of letters in the word.
Fig. 2Finite element models of electric current flow using our HD-tDCS montage. Abbreviation: HD-tDCS, high definition transcranial direct current stimulation.
Fig. 3Sensitivity (80% power) to effect size (y-axis) by total sample size (x-axis) for the present study (figure provided by G*Power 3.1).