Age differences in the neural correlates of distraction regulation: A network interaction approach

Amer, Tarek; Anderson, John A. E.; Campbell, Karen L.; Hasher, Lynn; Grady, Cheryl L.

doi:10.1016/j.neuroimage.2016.06.036

Cited by 31 publications

(22 citation statements)

References 99 publications

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“…This potentially frontally-driven deterioration of TD attentional control in ageing lies on the cross-roads of the two leading hypotheses accounting for the increased distractibility often observed with ageing: the inhibitory deficit (Hasher and Zacks, 1988) and the frontal ageing (West, 1996) hypotheses. In line with previous findings (Chadick et al, 2014; Amer et al, 2016) and with the proposition made by Gazzaley and D’Esposito (2007), our findings reconcile both hypotheses: the decrease in the functioning of the frontal control network might be the origin of the ageing-related deficit in inhibitory mechanisms.…”

Section: Resultssupporting

confidence: 93%

Age-Related Modulations of Alpha and Gamma Brain Activities Underlying Anticipation and Distraction

ElShafei

Fornoni

Bertrand

et al. 2018

Preprint

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Attention operates through top-down (TD) and bottom-up (BU) mechanisms. Recently, it has been shown that slow (alpha) frequencies index facilitatory and suppressive mechanisms of TD attention and faster (gamma) frequencies signal BU attentional capture. Ageing is characterized by increased behavioral distractibility, resulting from either a reduced efficiency of TD attention or an enhanced triggering of BU attention. However, only few studies have investigated the impact of ageing upon the oscillatory activities involved in TD and BU attention. MEG data were collected from 14 elderly and 14 matched young healthy human participants while performing the Competitive Attention Task. Elderly participants displayed (1) exacerbated behavioral distractibility, (2) altered TD suppressive mechanisms, indexed by a reduced alpha synchronization in task-irrelevant regions, (3) less prominent alpha peak-frequency differences between cortical regions, (4) a similar BU system activation indexed by gamma activity, and (5) a reduced activation of lateral prefrontal inhibitory control regions. These results show that the ageing-related increased distractibility is of TD origin.

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Section: Resultssupporting

confidence: 93%

Age-Related Modulations of Alpha and Gamma Brain Activities Underlying Anticipation and Distraction

ElShafei

Fornoni

Bertrand

et al. 2018

Preprint

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“…This accords with the concept that the DAN globally regulates the positive networks by overseeing visuospatial encoding/planning (Spreng et al, 2010;Stawarczyk, Jeunehomme, & D'Argembeau, 2018), episodic retrieval, and WM (Luckmann, Jacobs, & Sack, 2014;Nee & Jonides, 2014). This function of the DAN has also been confirmed in studies comparing normal controls with participants exhibiting spatial neglect (Ptak & Schnider, 2010) and aging (Amer et al, 2016;Kurth et al, 2016). Thus, the current study further clarified that the mediation function of the DAN is much more remarkable under higher cognitive loads (e.g., 2-back) than in the 0-back task.…”

Section: Dmn Fpn and Dan Globally Modulate Brain Functions Acrosssupporting

confidence: 84%

“…However, the correlation between DMN deactivation and performance under a lower cognitive load (0-back task) did not exist consistently. This finding further supported that the DMN was suppressed (usually unrelated signals to the directed task) during WM execution to enhance the efficiency of the task-positive networks (Amer et al, 2016;Wen et al, 2013;Zhou et al, 2018).…”

Section: Wm-related Network Positively Modulate Performance Under supporting

confidence: 65%

“…For example, memory storage of visual features not only occurs in the visual cortex but also in the parietal and prefrontal cortices and superior precentral sulcus (Eriksson et al, ), and in the WM process, the FPN globally interacts with other networks of the brain (Cole, Repovs, & Anticevic, ; D'Esposito & Postle, ). On the other hand, intrinsic networks, particularly the default mode network (DMN), deactivate to suppress stimulus‐unrelated physiological signals to support task execution mediated by task‐positive networks, which characterize other networks, such as the FPN and DAN, as positively activated to cope with external stimuli (Amer, Anderson, Campbell, Hasher, & Grady, ; Wen, Liu, Yao, & Ding, ; Zhou et al, ). This trait has been revealed from the perspective of functional activation (Pagnoni, ) and functional interaction (Amer et al, ; Zhou et al, ), and its action is a prominent factor predicting WM performance (Amer et al, ; Wen et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Activation‐based association profiles differentiate network roles across cognitive loads

Zuo

Salami

Yang

et al. 2019

Human Brain Mapping

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Working memory (WM) is a complex and pivotal cognitive system underlying the performance of many cognitive behaviors. Although individual differences in WM performance have previously been linked to the blood oxygenation level‐dependent (BOLD) response across several large‐scale brain networks, the unique and shared contributions of each large‐scale brain network to efficient WM processes across different cognitive loads remain elusive. Using a WM paradigm and functional magnetic resonance imaging (fMRI) from the Human Connectome Project, we proposed a framework to assess the association and shared‐association strength between imaging biomarkers and behavioral scales. Association strength is the capability of individual brain regions to modulate WM performance and shared‐association strength measures how different regions share the capability of modulating performance. Under higher cognitive load (2‐back), the frontoparietal executive control network (FPN), dorsal attention network (DAN), and salience network showed significant positive activation and positive associations, whereas the default mode network (DMN) showed the opposite pattern, namely, significant deactivation and negative associations. Comparing the different cognitive loads, the DMN and FPN showed predominant associations and globally shared‐associations. When investigating the differences in association from lower to higher cognitive loads, the DAN demonstrated enhanced association strength and globally shared‐associations, which were significantly greater than those of the other networks. This study characterized how brain regions individually and collaboratively support different cognitive loads.

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“…First, recent studies suggested that the executive ability of older adults depends more strongly on the DMN than that of younger adults (Duverne, Motamedinia, & Rugg, ; Turner & Spreng, ; Maillet & Schacter, ). Second, the CON is implicated in executive functions in older adults (Meier et al, ; Amer, Anderson, Campbell, Hasher, & Grady, ; Schmidt, Burge, Visscher, & Ross, ).…”

Section: Introductionmentioning

confidence: 99%

Age‐related changes in the ease of dynamical transitions in human brain activity

Ezaki

Sakaki

Watanabe

et al. 2018

Human Brain Mapping

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Executive functions, a set of cognitive processes that enable flexible behavioral control, are known to decay with aging. Because such complex mental functions are considered to rely on the dynamic coordination of functionally different neural systems, the age-related decline in executive functions should be underpinned by alteration of large-scale neural dynamics. However, the effects of age on brain dynamics have not been firmly formulated. Here, we investigate such age-related changes in brain dynamics by applying "energy landscape analysis" to publicly available functional magnetic resonance imaging data from healthy younger and older human adults. We quantified the ease of dynamical transitions between different major patterns of brain activity, and estimated it for the default mode network (DMN) and the cingulo-opercular network (CON) separately. We found that the two age groups shared qualitatively the same trajectories of brain dynamics in both the DMN and CON. However, in both of networks, the ease of transitions was significantly smaller in the older than the younger group. Moreover, the ease of transitions was associated with the performance in executive function tasks in a doubly dissociated manner: for the younger adults, the ability of executive functions was mainly correlated with the ease of transitions in the CON, whereas that for the older adults was specifically associated with the ease of transitions in the DMN. These results provide direct biological evidence for age-related changes in macroscopic brain dynamics and suggest that such neural dynamics play key roles when individuals carry out cognitively demanding tasks.

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Age differences in the neural correlates of distraction regulation: A network interaction approach

Cited by 31 publications

References 99 publications

Age-Related Modulations of Alpha and Gamma Brain Activities Underlying Anticipation and Distraction

Age-Related Modulations of Alpha and Gamma Brain Activities Underlying Anticipation and Distraction

Activation‐based association profiles differentiate network roles across cognitive loads

Age‐related changes in the ease of dynamical transitions in human brain activity

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