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      Probabilistic sequence learning in mild cognitive impairment

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          Abstract

          Mild Cognitive Impairment (MCI) causes slight but noticeable disruption in cognitive systems, primarily executive and memory functions. However, it is not clear if the development of sequence learning is affected by an impaired cognitive system and, if so, how. The goal of our study was to investigate the development of probabilistic sequence learning, from the initial acquisition to consolidation, in MCI and healthy elderly control groups. We used the Alternating Serial Reaction Time task (ASRT) to measure probabilistic sequence learning. Individuals with MCI showed weaker learning performance than the healthy elderly group. However, using the reaction times only from the second half of each learning block—after the reactivation phase—we found intact learning in MCI. Based on the assumption that the first part of each learning block is related to reactivation/recall processes, we suggest that these processes are affected in MCI. The 24-h offline period showed no effect on sequence-specific learning in either group but did on general skill learning: the healthy elderly group showed offline improvement in general reaction times while individuals with MCI did not. Our findings deepen our understanding regarding the underlying mechanisms and time course of sequence acquisition and consolidation.

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          Most cited references55

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          Attentional requirements of learning: Evidence from performance measures

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            Contextual cueing: implicit learning and memory of visual context guides spatial attention.

            Global context plays an important, but poorly understood, role in visual tasks. This study demonstrates that a robust memory for visual context exists to guide spatial attention. Global context was operationalized as the spatial layout of objects in visual search displays. Half of the configurations were repeated across blocks throughout the entire session, and targets appeared within consistent locations in these arrays. Targets appearing in learned configurations were detected more quickly. This newly discovered form of search facilitation is termed contextual cueing. Contextual cueing is driven by incidentally learned associations between spatial configurations (context) and target locations. This benefit was obtained despite chance performance for recognizing the configurations, suggesting that the memory for context was implicit. The results show how implicit learning and memory of visual context can guide spatial attention towards task-relevant aspects of a scene.
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              Reorganization and plasticity in the adult brain during learning of motor skills.

              On the basis of brain imaging studies, Doyon and Ungerleider recently proposed a model describing the cerebral plasticity that occurs in both cortico-striatal and cortico-cerebellar systems of the adult brain during learning of new motor skilled behaviors. This theoretical framework makes several testable predictions with regards to the contribution of these neural systems based on the phase (fast, slow, consolidation, automatization, and retention) and nature of the motor learning processes (motor sequence versus motor adaptation) acquired through repeated practice. There has been recent behavioral, lesion and additional neuroimaging studies that have addressed the assumptions made in this theory that will help in the revision of this model.
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                Author and article information

                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                01 July 2013
                2013
                : 7
                : 318
                Affiliations
                [1] 1Department of Clinical Psychology and Addiction, Institute of Psychology, Eötvös Loránd University Budapest, Hungary
                [2] 2Institute of Psychology, University of Szeged Szeged, Hungary
                [3] 3American Language Institute, University of South-California Los Angeles, USA
                [4] 4Department of Cognitive Sciences, Budapest University of Technology and Economics Budapest, Hungary
                [5] 5Aladár Petz County Research Hospital Gyor, Hungary
                Author notes

                Edited by: Rachael D. Seidler, University of Michigan, USA

                Reviewed by: Adrian M. Haith, Johns Hopkins University School of Medicine, USA; Rebecca Spencer, University of Massachusetts, Amherst, USA

                *Correspondence: Dezso Nemeth, Department of Clinical Psychology and Addiction, Institute of Psychology, Eötvös Loránd University, Budapest, Izabella utca 46, 1064 Budapest, Hungary e-mail: nemethd@ 123456gmail.com
                †These authors have contributed equally to this work.
                Article
                10.3389/fnhum.2013.00318
                3696838
                23847493
                d4e92894-3735-44f0-8aa1-8c5dfc123cc0
                Copyright © 2013 Nemeth, Janacsek, Király, Londe, Németh, Fazekas, Ádám, Elemérné and Csányi.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

                History
                : 02 January 2013
                : 10 June 2013
                Page count
                Figures: 2, Tables: 0, Equations: 0, References: 68, Pages: 10, Words: 8563
                Categories
                Neuroscience
                Original Research Article

                Neurosciences
                mild cognitive impairment,offline learning,statistical learning,implicit learning,skill learning,consolidation,automaticity

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