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Geissmann L, Coynel D, Papassotiropoulos A, de Quervain DJF. Neurofunctional underpinnings of individual differences in visual episodic memory performance. Nat Commun 2023; 14:5694. [PMID: 37709747 PMCID: PMC10502056 DOI: 10.1038/s41467-023-41380-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 09/01/2023] [Indexed: 09/16/2023] Open
Abstract
Episodic memory, the ability to consciously recollect information and its context, varies substantially among individuals. While prior fMRI studies have identified certain brain regions linked to successful memory encoding at a group level, their role in explaining individual memory differences remains largely unexplored. Here, we analyze fMRI data of 1,498 adults participating in a picture encoding task in a single MRI scanner. We find that individual differences in responsivity of the hippocampus, orbitofrontal cortex, and posterior cingulate cortex account for individual variability in episodic memory performance. While these regions also emerge in our group-level analysis, other regions, predominantly within the lateral occipital cortex, are related to successful memory encoding but not to individual memory variation. Furthermore, our network-based approach reveals a link between the responsivity of nine functional connectivity networks and individual memory variability. Our work provides insights into the neurofunctional correlates of individual differences in visual episodic memory performance.
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Affiliation(s)
- Léonie Geissmann
- Division of Cognitive Neuroscience, Department of Biomedicine, University of Basel, Basel, Switzerland.
- Research Cluster Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.
| | - David Coynel
- Division of Cognitive Neuroscience, Department of Biomedicine, University of Basel, Basel, Switzerland
- Research Cluster Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
| | - Andreas Papassotiropoulos
- Research Cluster Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland
- Division of Molecular Neuroscience, Department of Biomedicine, University of Basel, Basel, Switzerland
- University Psychiatric Clinics, University of Basel, Basel, Switzerland
| | - Dominique J F de Quervain
- Division of Cognitive Neuroscience, Department of Biomedicine, University of Basel, Basel, Switzerland.
- Research Cluster Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.
- University Psychiatric Clinics, University of Basel, Basel, Switzerland.
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Lin CC, Hsieh SS, Chang YK, Huang CJ, Hillman CH, Hung TM. Up-regulation of proactive control is associated with beneficial effects of a childhood gymnastics program on response preparation and working memory. Brain Cogn 2021; 149:105695. [PMID: 33515859 DOI: 10.1016/j.bandc.2021.105695] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 12/29/2020] [Accepted: 01/13/2021] [Indexed: 01/06/2023]
Abstract
The current study focused on the effects of an 8-week motor skill-based physical activity (i.e., gymnastics) program on the contingent negative variation derived from event-related brain potentials (CNV-ERP) during a working memory task in children. Children aged 7-10 years old were assigned to a gymnastics group (n = 26) or a wait-list control group (n = 24). The gymnastics group engaged in a gymnastics program whereas children in the control group were asked to maintain their typical routine during the intervention period. Working memory performance was measured by a delayed-matching working memory task, accompanied by CNV-ERP collection. The results revealed significant improvement of response accuracy from pre-test to post-test in the gymnastic group regardless of memory demands. Moreover, significant increase from pre-test to post-test in the initial CNV was observed in the gymnastic group regardless of memory demands. Bivariate correlations further indicated that, in the gymnastic group, increases in response accuracy from pre-test to post-test were correlated with increases in initial CNV from pre-test to post-test in task conditions with lower and higher memory loads. Overall, the current findings suggest that up-regulation of proactive control may characterize the beneficial effects of childhood motor skill-based physical activity on working memory.
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Affiliation(s)
- Chih-Chien Lin
- Department of Physical Education, National Taiwan Normal University, Taipei, Taiwan
| | - Shu-Shih Hsieh
- Department of Psychology, Northeastern University, Boston, United States
| | - Yu-Kai Chang
- Department of Physical Education, National Taiwan Normal University, Taipei, Taiwan
| | - Chung-Ju Huang
- Graduate Institute of Sports Pedagogy, University of Taipei, Taipei, Taiwan
| | - Charles H Hillman
- Department of Psychology, Northeastern University, Boston, United States; Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, United States
| | - Tsung-Min Hung
- Department of Physical Education, National Taiwan Normal University, Taipei, Taiwan; Institute in Research Excellence and Learning Science, National Taiwan Normal University, Taipei, Taiwan.
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Kim H. Neural activity during working memory encoding, maintenance, and retrieval: A network-based model and meta-analysis. Hum Brain Mapp 2019; 40:4912-4933. [PMID: 31373730 DOI: 10.1002/hbm.24747] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 07/08/2019] [Accepted: 07/23/2019] [Indexed: 12/21/2022] Open
Abstract
It remains unclear whether and to what extent working memory (WM) temporal subprocesses (i.e., encoding, maintenance, and retrieval) involve shared or distinct intrinsic networks. To address this issue, I constructed a model of intrinsic network contributions to different WM phases and then evaluated the validity of the model by performing a quantitative meta-analysis of relevant functional neuroimaging data. The model suggests that the transition from the encoding to maintenance and to retrieval stages involves progressively decreasing involvement of the dorsal attention network (DAN), but progressively increasing involvement of the frontoparietal control network (FPCN). Separate meta-analysis of each phase effect and direct comparisons between them yielded results that were largely consistent with the model. This evidence included between-phase double dissociations that were consistent with the model, such as encoding > maintenance contrast showing some DAN, but no FPCN, regions, and maintenance > encoding contrast showing the reverse, that is, some FPCN, but no DAN, regions. Two closely juxtaposed regions that are members of the DAN and FPCN, such as inferior frontal junction versus caudal prefrontal cortex and superior versus inferior intraparietal sulcus, showed a high degree of functional differentiation. Although all regions identified in the present study were already identified in previous WM studies, this study uniquely enhances our understating of their roles by clarifying their network membership and specific associations with different WM phases.
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Affiliation(s)
- Hongkeun Kim
- Department of Rehabilitation Psychology, Daegu University, Gyeongsan-si, Republic of Korea
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Spontaneous brain oscillations as neural fingerprints of working memory capacities: A resting-state MEG study. Cortex 2017; 97:109-124. [PMID: 29102813 DOI: 10.1016/j.cortex.2017.09.021] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 03/31/2017] [Accepted: 09/22/2017] [Indexed: 01/03/2023]
Abstract
Short-term storage and mental information manipulation capacities in the human brain are key to healthy cognition. These brain processes collectively known as working memory (WM) are associated with modulations of rhythmic brain activity across multiple brain areas and frequencies. Yet, it is not clear whether - and, if so, how-intrinsic resting-state neuronal oscillations are related to individual WM capacities, as measured by standard neuropsychological tests. We addressed this question by probing the correlation between resting-state brain activity, recorded with magnetoencephalography (MEG), and verbal and visuo-spatial WM indices obtained from the standardized Wechsler Adult Intelligence Scale (WAIS-IV) and the Wechsler Memory Scale (WMS-IV). To this end, 5-min eyes-open resting-state MEG data were acquired in 28 healthy participants. Source-reconstructed spectral power estimates were then computed in standard frequency bands and their correlation with neuropsychological indices across individuals was assessed using Pearson correlation and cluster-level statistics. We found statistically significant positive correlations between spectral amplitudes measured at rest and standardized scores on both verbal and visuo-spatial WM performance. The correlation clusters primarily involved key medial and dorsolateral components within the parietal and prefrontal regions. In addition, while the correlation in some clusters was frequency selective (e.g., alpha-band oscillations), other areas showed correlations with WM across a wide range of frequencies reflecting a broadband effect. These results provide the first evidence for a positive correlation between neuromagnetic signals measured at rest and WM performance separately assessed by standardized neuropsychological tests. Our results advance our understanding of the link between WM capacities and intrinsic oscillatory dynamics networks. They also suggest that individual differences in baseline spectral power might need to be taken into account when probing differences in brain responses during the execution of WM tasks.
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Gurariy G, Killebrew KW, Berryhill ME, Caplovitz GP. Induced and Evoked Human Electrophysiological Correlates of Visual Working Memory Set-Size Effects at Encoding. PLoS One 2016; 11:e0167022. [PMID: 27902738 PMCID: PMC5130241 DOI: 10.1371/journal.pone.0167022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 11/08/2016] [Indexed: 01/23/2023] Open
Abstract
The ability to encode, store, and retrieve visually presented objects is referred to as visual working memory (VWM). Although crucial for many cognitive processes, previous research reveals that VWM strictly capacity limited. This capacity limitation is behaviorally observable in the set size effect: the ability to successfully report items in VWM asymptotes at a small number of items. Research into the neural correlates of set size effects and VWM capacity limits in general largely focus on the maintenance period of VWM. However, we previously reported that neural resources allocated to individual items during VWM encoding correspond to successful VWM performance. Here we expand on those findings by investigating neural correlates of set size during VWM encoding. We hypothesized that neural signatures of encoding-related VWM capacity limitations should be differentiable as a function of set size. We tested our hypothesis using High Density Electroencephalography (HD-EEG) to analyze frequency components evoked by flickering target items in VWM displays of set size 2 or 4. We found that set size modulated the amplitude of the 1st and 2nd harmonic frequencies evoked during successful VWM encoding across frontal and occipital-parietal electrodes. Frontal sites exhibited the most robust effects for the 2nd harmonic (set size 2 > set size 4). Additionally, we found a set-size effect on the induced power of delta-band (1-4 Hz) activity (set size 2 > set size 4). These results are consistent with a capacity limited VWM resource at encoding that is distributed across to-be-remembered items in a VWM display. This resource may work in conjunction with a task-specific selection process that determines which items are to be encoded and which are to be ignored. These neural set size effects support the view that VWM capacity limitations begin with encoding related processes.
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Affiliation(s)
- Gennadiy Gurariy
- University of Nevada, Reno Department of Psychology, Reno, United States of America
- * E-mail:
| | - Kyle W. Killebrew
- University of Nevada, Reno Department of Psychology, Reno, United States of America
| | - Marian E. Berryhill
- University of Nevada, Reno Department of Psychology, Reno, United States of America
| | - Gideon P. Caplovitz
- University of Nevada, Reno Department of Psychology, Reno, United States of America
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Majerus S, Cowan N, Péters F, Van Calster L, Phillips C, Schrouff J. Cross-Modal Decoding of Neural Patterns Associated with Working Memory: Evidence for Attention-Based Accounts of Working Memory. Cereb Cortex 2014; 26:166-79. [PMID: 25146374 DOI: 10.1093/cercor/bhu189] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Recent studies suggest common neural substrates involved in verbal and visual working memory (WM), interpreted as reflecting shared attention-based, short-term retention mechanisms. We used a machine-learning approach to determine more directly the extent to which common neural patterns characterize retention in verbal WM and visual WM. Verbal WM was assessed via a standard delayed probe recognition task for letter sequences of variable length. Visual WM was assessed via a visual array WM task involving the maintenance of variable amounts of visual information in the focus of attention. We trained a classifier to distinguish neural activation patterns associated with high- and low-visual WM load and tested the ability of this classifier to predict verbal WM load (high-low) from their associated neural activation patterns, and vice versa. We observed significant between-task prediction of load effects during WM maintenance, in posterior parietal and superior frontal regions of the dorsal attention network; in contrast, between-task prediction in sensory processing cortices was restricted to the encoding stage. Furthermore, between-task prediction of load effects was strongest in those participants presenting the highest capacity for the visual WM task. This study provides novel evidence for common, attention-based neural patterns supporting verbal and visual WM.
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Affiliation(s)
- Steve Majerus
- Department of Psychology - Cognition and Behavior, Université de Liège, 4000 Liège, Belgium Cyclotron Research Centre, Université de Liège, 4000 Liège, Belgium Fund for Scientific Research FNRS, 1000 Brussels, Belgium
| | - Nelson Cowan
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211-2500, USA
| | - Frédéric Péters
- Department of Psychology - Cognition and Behavior, Université de Liège, 4000 Liège, Belgium
| | - Laurens Van Calster
- Department of Psychology - Cognition and Behavior, Université de Liège, 4000 Liège, Belgium
| | - Christophe Phillips
- Department of Psychology - Cognition and Behavior, Université de Liège, 4000 Liège, Belgium Fund for Scientific Research FNRS, 1000 Brussels, Belgium
| | - Jessica Schrouff
- Cyclotron Research Centre, Université de Liège, 4000 Liège, Belgium Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
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