Effects of working memory training on functional connectivity and cerebral blood flow during rest

Takeuchi, Hikaru; Taki, Yasuyuki; Nouchi, Rui; Hashizume, Hiroshi; Sekiguchi, Atsushi; Kotozaki, Yuka; Nakagawa, Seishu; Miyauchi, Calros M.; Sassa, Yuko; Kawashima, Ryuta

doi:10.1016/j.cortex.2012.09.007

Cited by 133 publications

(194 citation statements)

References 77 publications

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“…(2012) suggested that changes in cerebrovasculature are a potential candidate mechanisms for gray matter changes following training, and Tak, Wang, Polimeni, Yan, and Chen (2014) reported a close association between the cerebrovasculature and measures of rsFC. Importantly, changes in cerebral blood flow and rsFC of the adult human brain following cognitive training have been previously reported (Chapman et al., 2015; Takeuchi et al., 2013). …”

Section: Discussionmentioning

confidence: 99%

“…Quantitative MRI‐based morphometry further revealed experience‐dependent brain plasticity in clinical populations such as balance training for Parkinson's disease (Sehm et al., 2014) and physical activity for heart failure, Schizophrenia, and mild cognitive impairment (Alosco et al., 2015; McEwen et al., 2015; Reiter et al., 2015). Training‐induced changes in resting‐state networks in the healthy adult brain have also been reported following motor training (Lewis, Baldassarre, Committeri, Romani, & Corbetta, 2009; Taubert, Lohmann, Margulies, Villringer, & Ragert, 2011), cognitive training (Jolles, van Buchem, Crone, & Rombouts, 2013; Mackey, Miller Singley, & Bunge, 2013; Takeuchi et al., 2013), and physical activity in the elderly (Voss, 2010). In clinical populations, rsFC has also been used to identify changes in resting‐state networks induced by rehabilitation for multiple sclerosis (de Giglio et al., 2016) and stroke (Fan et al., 2015; Varkuti et al., 2013).…”

Section: Introductionmentioning

confidence: 99%

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Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

et al. 2017

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IntroductionPrior studies have demonstrated training‐induced changes in the healthy adult brain. Yet, it remains unclear how the injured brain responds to cognitive training months‐to‐years after injury.MethodsSixty individuals with chronic traumatic brain injury (TBI) were randomized into either strategy‐based (N = 31) or knowledge‐based (N = 29) training for 8 weeks. We measured cortical thickness and resting‐state functional connectivity (rsFC) before training, immediately posttraining, and 3 months posttraining.ResultsRelative to the knowledge‐based training group, the cortical thickness of the strategy‐based training group showed diverse temporal patterns of changes over multiple brain regions (p vertex < .05, p cluster < .05): (1) increases followed by decreases, (2) monotonic increases, and (3) monotonic decreases. However, network‐based statistics (NBS) analysis of rsFC among these regions revealed that the strategy‐based training group induced only monotonic increases in connectivity, relative to the knowledge‐based training group (|Z| > 1.96, pNBS < 0.05). Complementing the rsFC results, the strategy‐based training group yielded monotonic improvement in scores for the trail‐making test (p < .05). Analyses of brain–behavior relationships revealed that improvement in trail‐making scores were associated with training‐induced changes in cortical thickness (p vertex < .05, p cluster < .05) and rsFC (p vertex < .05, p cluster < .005) within the strategy‐based training group.ConclusionsThese findings suggest that training‐induced brain plasticity continues through chronic phases of TBI and that brain connectivity and cortical thickness may serve as markers of plasticity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

et al. 2017

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“…Takeuchi et al (2013) reported beneficial cognitive transfer effects on untrained verbal and visual working memory tasks. Interestingly, the CCT group also experienced beneficial effects on self-reported negative mood.…”

Section: Cognitive Control Training For At-risk Samplesmentioning

confidence: 99%

“…In this context, it is interesting to note that Takeuchi et al (2013Takeuchi et al ( , 2014) adopted a training procedure in which a sample of healthy students had to complete 27 sessions of a multi-task training approach including the dual n-back task over a period of four weeks. Takeuchi et al (2013) reported beneficial cognitive transfer effects on untrained verbal and visual working memory tasks.…”

Section: Cognitive Control Training For At-risk Samplesmentioning

confidence: 99%

Cognitive control interventions for depression: A systematic review of findings from training studies

Koster

Hoorelbeke

Onraedt

et al. 2017

Clinical Psychology Review

202

159

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There is a strong interest in cognitive control training as a new intervention for depression.Given the recent promising meta-analytical findings regarding the effects of cognitive training on cognitive functioning and depressive symptomatology, the current review provides an indepth discussion of the role of cognitive control in depression. We consider the state-of-theart research on how manipulation of cognitive control may influence cognitive and depression-related outcomes. Evidence for the effectiveness of cognitive control training procedures are discussed in relation to three stages of depression (at-risk, clinically depressed, remission) as well as the training approach that was deployed, after which the putative theoretical mechanisms are discussed. Finally, we provide ways in which cognitive control training can be utilized in future research.COGNITIVE CONTROL TRAINING FOR DEPRESSION 3

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“…Data derived from the subjects in this study are to be used in other studies irrelevant to the theme of this study. Some of the subjects who participated in this study also became subjects of intervention studies (psychological and imaging data recorded before the intervention were used in this study) [Takeuchi et al, 2013b]. Psychological tests and magnetic resonance imaging (MRI) scans not described in this study were performed together with those described in this study.…”

Section: Subjectsmentioning

confidence: 99%

The structure of the amygdala associates with human sexual permissiveness: Evidence from voxel‐based morphometry

Takeuchi

Taki

Nouchi

et al. 2014

Human Brain Mapping

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Sexual behavior is a critical function of human procreation. Despite previous studies that investigated the neural mechanisms of basic human physiological sexual functions, the neural mechanisms that underlie individual differences in human sexual permissiveness remain unknown. We used voxelbased morphometry and a questionnaire (scale for sexual attitudes) to measure sexual permissiveness to investigate the gray matter and white matter structural correlates of sexual permissiveness. Sexual permissiveness was negatively correlated with regional gray matter density of the structures involving the right amygdala and surrounding areas, and positively correlated with regional white matter density of the white matter area that spread around the left amygdala to the hypothalamus area. There were no gender-specific relationships in the neural correlates of our findings. These findings suggest that structural variations in

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Effects of working memory training on functional connectivity and cerebral blood flow during rest

Cited by 133 publications

References 77 publications

Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

Cognitive control interventions for depression: A systematic review of findings from training studies

The structure of the amygdala associates with human sexual permissiveness: Evidence from voxel‐based morphometry

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