Working memory load–related electroencephalographic parameters can differentiate progressive from stable mild cognitive impairment

Missonnier, Pascal; Deiber, Marie-Pierre; Gold, Gabriel; Herrmann, Françoís; Millet, Philippe; Michon, Agnès; Fazio-Costa, Lara; Ibáñez, Vicente; Giannakopoulos, Pantéleimon

doi:10.1016/j.neuroscience.2007.09.009

Cited by 141 publications

(140 citation statements)

References 61 publications

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“…These maps confirm that cost-efficient configuration of individual nodes in the ␤-band network is strongly associated with task performance. Moreover, the spatial distribution of performance-critical nodes in the ␤-band map is concentrated over left temporal and parietal areas, and midline frontal areas, that have been implicated in many previous electrophysiological studies of similar tasks (14,16,17). These foci of association between accuracy and max(CE) of nodes in the ␤-band network remained significant even after controlling for multiple tests with a false-discovery rate correction (FDR) of 5%.…”

Section: Resultsmentioning

confidence: 86%

“…More specifically, based on several studies linking N-back working memory performance to high-frequency (␤-band, 15-30 Hz, and ␥-band, 30-60 Hz) brain dynamics (14,15), especially in parietal (14,16) and frontal cortex (17), we expected that cost efficiency of high-frequency networks should be particularly critical to accuracy of working-memory task performance.…”

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confidence: 99%

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Cognitive fitness of cost-efficient brain functional networks

Bassett

Bullmore

Meyer‐Lindenberg

et al. 2009

Proc. Natl. Acad. Sci. U.S.A.

392

324

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The human brain's capacity for cognitive function is thought to depend on coordinated activity in sparsely connected, complex networks organized over many scales of space and time. Recent work has demonstrated that human brain networks constructed from neuroimaging data have economical small-world properties that confer high efficiency of information processing at relatively low connection cost. However, it has been unclear how the architecture of complex brain networks functioning at different frequencies can be related to behavioral performance on cognitive tasks. Here, we show that impaired accuracy of working memory could be related to suboptimal cost efficiency of brain functional networks operating in the classical ␤ frequency band, 15-30 Hz. We analyzed brain functional networks derived from magnetoencephalography data recorded during working-memory task performance in 29 healthy volunteers and 28 people with schizophrenia. Networks functioning at higher frequencies had greater global cost efficiency than low-frequency networks in both groups. Superior task performance was positively correlated with global cost efficiency of the ␤-band network and specifically with cost efficiency of nodes in left lateral parietal and frontal areas. These results are consistent with biophysical models highlighting the importance of ␤-band oscillations for long-distance functional connections in brain networks and with pathophysiological models of schizophrenia as a dysconnection syndrome. More generally, they echo the saying that ''less is more'': The information processing performance of a network can be enhanced by a sparse or low-cost configuration with disproportionately high efficiency.efficiency ͉ graph theory ͉ schizophrenia ͉ working memory ͉ magnetoencephalography T he brain is a complex system at many scales of space and time.At the largest spatial scale of whole-brain organization, primate brain anatomical and functional networks are sparsely connected (1), presumably to conserve axonal wiring costs of linking 2 remote cortical or subcortical regions. However, networks derived from brain imaging data are also topologically configured to deliver high global and local efficiency of parallel information transfer (2, 3); this can be equivalently described in terms of short path length and high clustering of brain networks compared with random graphs (4-7). Such ''economical smallworld'' properties-combining high efficiency with low connection cost-have been described for other biological and infrastructural systems (8) and may represent the outcome of evolutionary selection for both low cost and high efficiency of connections between network nodes (9-11).On the hypothesis that brain network organization has evolved by optimizing competitive selection criteria of cost and efficiency, we predicted that individual differences in cognitive performance should be related to variability in cost efficiency of human brain functional networks (12, 13). More specifically, based on several studies linking N-back working memory...

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Section: Resultsmentioning

confidence: 86%

mentioning

confidence: 99%

Cognitive fitness of cost-efficient brain functional networks

Bassett

Bullmore

Meyer‐Lindenberg

et al. 2009

Proc. Natl. Acad. Sci. U.S.A.

392

324

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“…Corresponding to the relationship between FM theta oscillations and the maintenance mechanism it was demonstrated that when theta activity during retention was reduced, performance decreased (Klimesch et al, 2006). In association with an increasing number of items held in WM FM theta amplitude was shown to be enhanced (for example Onton et al, 2005;Jensen and Tesche, 2002;Missonnier et al, 2007) which was found most consistently during the retention interval regardless of the type of information (verbal, visuospatial). Therefore, it was suggested that the observed FM theta activity could reflect top-down modulation which helps to maintain the activation of cortical representations of the object after it is no longer present (for review see Mitchell et al, 2008).…”

Section: Introductionmentioning

confidence: 93%

Frontal midline theta connectivity is related to efficiency of WM maintenance and is affected by aging

Tóth

Kardos

File

et al. 2014

Neurobiology of Learning and Memory

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Please cite this article as: Tóth, B., Kardos, Z., File, B., Boha, R., Stam, C.J., Molnár, M., Frontal midline theta connectivity is related to efficiency of WM maintenance and is affected by aging, Neurobiology of Learning and Memory (2014), doi: http://dx.doi.org/10. 1016/j.nlm.2014.04.009 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractRepresentations in working memory (WM) are temporary, but can be refreshed for longer periods of time through maintenance mechanisms, thereby establishing their availability for subsequent memory tests. Frontal brain regions supporting WM maintenance operations undergo anatomical and functional changes with advancing age, leading to age related decline of memory functions. The present study focused on age-related functional connectivity changes of the frontal midline (FM) cortex in the theta band (4-8 Hz), related to 2 WM maintenance. In the visual delayed-match-to-sample WM task young (18-26 years, N=20) and elderly (60-71 years N=16) adults had to memorize sample stimuli consisting of 3 or 5 items while 33 channel EEG recording was performed. The phase lag index was used to quantify connectivity strength between cortical regions. The low and high memory demanding WM maintenance periods were classified based on whether they were successfully maintained (remembered) or unsuccessfully maintained (unrecognized later). In the elderly reduced connectivity strength of FM brain region and decreased performance were observed. The connectivity strength between FM and posterior sensory cortices was shown to be sensitive to both increased memory demands and memory performance regardless of age. The coupling of frontal regions (midline and lateral) and FM-temporal cortices characterized successfully maintained trials and declined with advancing age. The findings provide evidence that a FM neural circuit of theta oscillations that serves a possible basis of active maintenance process is especially vulnerable to aging.

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“…Several reports over the past decade described the potential diagnostic importance of electrophysiological markers of cognitive decline in patients with MCI and the preclinical stage of AD, as obtained by analysis of the electroencephalography-derived event-related potentials (ERPs) [20][21][22][23][24][25][26][27][28][29]. For example, the ERP P2, N2, and P3 components are recognized as effective electrophysiological indices in the early stage of MCI diagnosis [20][21][22][23], as MCI subjects have prolonged P2, N2, and P3 latencies, and reduced P3 amplitudes, compared to healthy elderly controls [20,[24][25][26]. Even specific to the MCI subgroups [e.g., amnestic MCI (aMCI)], these ERP components may also be useful for observing the differences in cognitive processes from those of the healthy elderly [20,24,27,28], and to distinguish the different MCI subtypes (e.g., aMCI versus nonaMCI) [29].…”

Section: Introductionmentioning

confidence: 99%

“…For example, the ERP P2, N2, and P3 components are recognized as effective electrophysiological indices in the early stage of MCI diagnosis [20][21][22][23], as MCI subjects have prolonged P2, N2, and P3 latencies, and reduced P3 amplitudes, compared to healthy elderly controls [20,[24][25][26]. Even specific to the MCI subgroups [e.g., amnestic MCI (aMCI)], these ERP components may also be useful for observing the differences in cognitive processes from those of the healthy elderly [20,24,27,28], and to distinguish the different MCI subtypes (e.g., aMCI versus nonaMCI) [29]. ERP components may thus be sensitive enough to identify elderly patients with early cognitive decline or disease progression to MCI and/or AD.…”

Section: Introductionmentioning

confidence: 99%

The Role of Physical Fitness in the Neurocognitive Performance of Task Switching in Older Persons with Mild Cognitive Impairment

Tsai

Pai

Ukropec

et al. 2016

JAD

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Abstract. Although elderly people with amnestic mild cognitive impairment (aMCI) have been found to show impaired behavioral performance in task switching, no research has yet explored the electrophysiological mechanisms and the potential correlation between physical fitness and neurocognitive (i.e., behavioral and electrophysiological) performance in aMCI. The present study was thus aimed to examine whether there are differences in electrophysiological (i.e., event-related potential) performance between aMCI participants and controls when performing a task-switching paradigm, and to investigate the role of physical fitness in the relationship between neurocognitive performance and aMCI. Sixty participants were classified into aMCI (n = 30) and control (n = 30) groups, and performed a task-switching paradigm with concomitant electrophysiological recording, as well as underwent senior functional physical fitness tests. The aMCI group showed comparable scores on most parts of the physical fitness tests, but reduced lower body flexibility and VO 2max as compared to the control group. When performing the task-switching paradigm, the aMCI group showed slower reaction times in the heterogeneous condition and larger global switching costs, although no significant difference was observed in accuracy rates between the two groups. In addition, the aMCI group showed significantly prolonged P3 latencies in the homogeneous and heterogeneous conditions, and a smaller P3 amplitude only in the heterogeneous condition. The level of cardiorespiratory fitness was significantly correlated with P3 amplitude in the aMCI group, particularly in the heterogeneous condition of the task-switching paradigm. These results show that the aMCI group exhibited abnormalities in their neurocognitive performance when performing the task-switching paradigm and such a deficit was likely associated with reduced cardiorespiratory fitness, which was shown to be the important predictor of neurocognitive performance.

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Working memory load–related electroencephalographic parameters can differentiate progressive from stable mild cognitive impairment

Cited by 141 publications

References 61 publications

Cognitive fitness of cost-efficient brain functional networks

Cognitive fitness of cost-efficient brain functional networks

Frontal midline theta connectivity is related to efficiency of WM maintenance and is affected by aging

The Role of Physical Fitness in the Neurocognitive Performance of Task Switching in Older Persons with Mild Cognitive Impairment

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