Journal article
Coherent oscillatory networks supporting short-term memory retention
Brain research, v 1247, pp 126-132
09 Jan 2009
PMID: 18976639
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Accumulating evidence suggests that top-down processes, reflected by frontal-midline theta-band (4–8 Hz) electroencephalogram (EEG) oscillations, strengthen the activation of a memory set during short-term memory (STM) retention. In addition, the amplitude of posterior alpha-band (8–13 Hz) oscillations during STM retention is thought to reflect a mechanism that protects fragile STM activations from interference by gating bottom-up sensory inputs. The present study addressed two important questions about these phenomena. First, why have previous studies not consistently found memory set-size effects on frontal-midline theta? Second, how does posterior alpha participate in STM retention? To answer these questions, large-scale network connectivity during STM retention was examined by computing EEG wavelet coherence during the retention period of a modified Sternberg task using visually-presented letters as stimuli. The results showed (a) increasing theta-band coherence between frontal-midline and left temporal-parietal sites with increasing memory load, and (b) increasing alpha-band coherence between midline parietal and left temporal/parietal sites with increasing memory load. These findings support the view that theta-band coherence, rather than amplitude, is the key factor in selective top-down strengthening of the memory set and demonstrate that posterior alpha-band oscillations associated with sensory gating are involved in STM retention by participating in the STM network.
Metrics
Details
- Title
- Coherent oscillatory networks supporting short-term memory retention
- Creators
- Lisa Payne - Program of Neuroscience, Drexel University, 245 N. 15th Street, Mail Stop 626, Philadelphia, PA 19102-1192, USAJohn Kounios - Department of Psychology, Drexel University, USA
- Publication Details
- Brain research, v 1247, pp 126-132
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000262925700013
- Scopus ID
- 2-s2.0-57349126384
- Other Identifier
- 991014878069304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Neurosciences