Angular default mode network connectivity across working memory load

D. Vatansever; A.E. Manktelow; B.J. Sahakian; D.K. Menon; E.A. Stamatakis

doi:10.1002/hbm.23341

Temporal Dynamics of Functional Brain States Underlie Cognitive Performance

Cerebral Cortex ◽

10.1093/cercor/bhaa350 ◽

2020 ◽

Author(s):

Hong Gu ◽

Kurt P Schulz ◽

Jin Fan ◽

Yihong Yang

Keyword(s):

Working Memory ◽

Cognitive Functioning ◽

Temporal Dynamics ◽

Functional Organization ◽

Memory Load ◽

Occurrence Rate ◽

Working Memory Load ◽

Default Mode ◽

Brain States ◽

Positive State

Abstract The functional organization of the human brain adapts dynamically in response to a rapidly changing environment. However, the relation of these rapid changes in functional organization to cognitive functioning is not well understood. This study used a graph-based time-frame modularity analysis approach to identify temporally recurrent functional configuration patterns in neural responses to an n-back working memory task during fMRI. Working memory load was manipulated to investigate the functional relevance of the identified brain states. Four distinct brain states were defined by the predominant patterns of activation in the task-positive, default-mode, sensorimotor, and visual networks. Associated with escalating working memory load, the occurrence of the task-positive state and the probability of transitioning into this state increased. In contrast, the occurrence of the default-mode and sensorimotor states and the probability of these 2 states transitioning away from the task-positive state decreased. The task-positive state occurrence rate and the probability of transitioning from the default-mode state back to the task-positive state explained a significant and unique portion of the variance in task performance. The results demonstrate that dynamic brain activities support successful cognitive functioning and may have heuristic value for understanding abnormal cognitive functioning associated with multiple neuropsychiatric disorders.

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P2-165: Daily carnosine and anserine supplementation alters default mode network connectivity and working memory in healthy adults

Alzheimer s & Dementia ◽

10.1016/j.jalz.2015.06.704 ◽

2015 ◽

Vol 11 (7S_Part_12) ◽

pp. P552-P553 ◽

Cited By ~ 1

Author(s):

Jaroslav Rokicki ◽

Lucia Li ◽

Hiroshi Matsuda ◽

Etsuko Imabayashi ◽

Tatsuhiro Hisatsune

Keyword(s):

Working Memory ◽

Default Mode Network ◽

Network Connectivity ◽

Healthy Adults ◽

Default Mode

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Resting-state fMRI: comparing default mode network connectivity between normal and low auditory working memory groups

Journal of Physics Conference Series ◽

10.1088/1742-6596/1248/1/012005 ◽

2019 ◽

Vol 1248 ◽

pp. 012005 ◽

Cited By ~ 1

Author(s):

E A Othman ◽

A N Yusoff ◽

M Mohamad ◽

H Abdul Manan ◽

A I Abd Hamid ◽

...

Keyword(s):

Working Memory ◽

Default Mode Network ◽

Resting State ◽

Network Connectivity ◽

Resting State Fmri ◽

Default Mode

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Working memory load-dependent changes in cortical network connectivity estimated by machine learning

NeuroImage ◽

10.1016/j.neuroimage.2020.116895 ◽

2020 ◽

Vol 217 ◽

pp. 116895

Author(s):

Hamdi Eryilmaz ◽

Kevin F. Dowling ◽

Dylan E. Hughes ◽

Anais Rodriguez-Thompson ◽

Alexandra Tanner ◽

...

Keyword(s):

Machine Learning ◽

Working Memory ◽

Memory Load ◽

Network Connectivity ◽

Cortical Network ◽

Working Memory Load

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Default mode network can support the level of detail in experience during active task states

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1721259115 ◽

2018 ◽

Vol 115 (37) ◽

pp. 9318-9323 ◽

Cited By ~ 83

Author(s):

Mladen Sormaz ◽

Charlotte Murphy ◽

Hao-ting Wang ◽

Mark Hymers ◽

Theodoros Karapanagiotidis ◽

...

Keyword(s):

Working Memory ◽

Neural Activity ◽

Default Mode Network ◽

Memory Load ◽

Premotor Cortex ◽

Self Report ◽

Default Mode ◽

Report Data ◽

Self Report Data ◽

Task Conditions

Regions of transmodal cortex, in particular the default mode network (DMN), have historically been argued to serve functions unrelated to task performance, in part because of associations with naturally occurring periods of off-task thought. In contrast, contemporary views of the DMN suggest it plays an integrative role in cognition that emerges from its location at the top of a cortical hierarchy and its relative isolation from systems directly involved in perception and action. The combination of these topographical features may allow the DMN to support abstract representations derived from lower levels in the hierarchy and so reflect the broader cognitive landscape. To investigate these contrasting views of DMN function, we sampled experience as participants performed tasks varying in their working-memory load while inside an fMRI scanner. We used self-report data to establish dimensions of thought that describe levels of detail, the relationship to a task, the modality of thought, and its emotional qualities. We used representational similarity analysis to examine correspondences between patterns of neural activity and each dimension of thought. Our results were inconsistent with a task-negative view of DMN function. Distinctions between on- and off-task thought were associated with patterns of consistent neural activity in regions adjacent to unimodal cortex, including motor and premotor cortex. Detail in ongoing thought was associated with patterns of activity within the DMN during periods of working-memory maintenance. These results demonstrate a contribution of the DMN to ongoing cognition extending beyond task-unrelated processing that can include detailed experiences occurring under active task conditions.

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Visual Search Facilitation in Repeated Displays Depends on Visuospatial Working Memory

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000125 ◽

2012 ◽

Vol 59 (1) ◽

pp. 47-54 ◽

Cited By ~ 16

Author(s):

Angela A. Manginelli ◽

Franziska Geringswald ◽

Stefan Pollmann

Keyword(s):

Working Memory ◽

Visual Search ◽

Control Experiment ◽

Memory Load ◽

Contextual Cueing ◽

Long Term Memory ◽

Visuospatial Working Memory ◽

Working Memory Load ◽

Memory Resources

When distractor configurations are repeated over time, visual search becomes more efficient, even if participants are unaware of the repetition. This contextual cueing is a form of incidental, implicit learning. One might therefore expect that contextual cueing does not (or only minimally) rely on working memory resources. This, however, is debated in the literature. We investigated contextual cueing under either a visuospatial or a nonspatial (color) visual working memory load. We found that contextual cueing was disrupted by the concurrent visuospatial, but not by the color working memory load. A control experiment ruled out that unspecific attentional factors of the dual-task situation disrupted contextual cueing. Visuospatial working memory may be needed to match current display items with long-term memory traces of previously learned displays.

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