Cited by Oxytocin enhances the triangular association among behavioral performance, resting state, and task-state functional connectivity

Default mode network functional connectivity as a transdiagnostic biomarker of cognitive function DOI

Vaibhav Tripathi, Ishaan Batta, Andre Zamani

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Toward a functional future for the cognitive neuroscience of human aging DOI

Zoya Mooraj,

Alireza Salami, Karen L. Campbell

et al.

Neuron, Journal Year: 2025, Volume and Issue: 113(1), P. 154 - 183

Published: Jan. 1, 2025

Language: Английский

Citations

Connectome‐based predictive modelling of cognitive reserve using task‐based functional connectivity DOI

Rory Boyle, Michael Connaughton, Eimear McGlinchey

et al.

European Journal of Neuroscience, Journal Year: 2022, Volume and Issue: 57(3), P. 490 - 510

Published: Dec. 13, 2022

Cognitive reserve supports cognitive function in the presence of pathology or atrophy. Functional neuroimaging may enable direct and accurate measurement which could have considerable clinical potential. The present study aimed to develop validate a measure using task-based fMRI data that then be applied independent resting-state data. Connectome-based predictive modelling with leave-one-out cross-validation was predict residual functional connectivity from Reserve/Reference Ability Neural Network studies (n = 220, mean age 51.91 years, SD 17.04 years). This model generated summary measures strength accurately predicted unseen participants. theoretical validity these established via positive correlation socio-behavioural proxy (verbal intelligence) global cognition, brain structure. fitted external test data: Irish Longitudinal Study on Ageing (TILDA, n 294, 68.3 7.18 network-strength were not positively associated nor verbal intelligence cognition. demonstrated can used generate theoretically valid reserve. Further work is needed establish if, how, derived

Language: Английский

Citations

Using objective and subjective measures of mind wandering to predict progression to development of cognitive impairment and test associations with Alzheimer disease biomarkers DOI

Matthew S. Welhaf,

David A. Balota,

Suzanne E. Schindler

et al.

Journal of Clinical and Experimental Neuropsychology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: April 27, 2025

Mind wandering decreases in healthy aging, and some cases, it is further reduced Alzheimer disease (AD). However, little known about how mind changes during the preclinical phase of AD, which a critical period for intervention. The present study aims to provide novel evidence utility objective subjective measures evaluating risk developing cognitive impairment their association with AD biomarkers. Participants (N = 504; Mage 69.54 years, SDage 8.95 years) completed Sustained Attention Response Task (SART). We calculated (reaction time coefficient variation; RT CoV) (self-reported frequency off-task thoughts) SART participants who remained cognitively stable 349) those eventually developed (progressors; N 155). A subset 211) annually had recent CSF Objective significantly differed between progressors at baseline predicted likelihoods progression. Moreover, progression beyond standard neuropsychological measures. Longitudinal models indicated that biomarker negative, but not positive, showed significant reduction CoV over time, possibly reflecting practice-related performance. There were no longitudinal associations wandering. common activity may reflect system older age. Subjective be useful predicting later onset impairment, while more sensitive changes.

Language: Английский

Citations

Prediction of cognitive performance differences in older age from multimodal neuroimaging data DOI

Camilla Krämer, Johanna Stumme, Lucas da Costa Campos

et al.

GeroScience, Journal Year: 2023, Volume and Issue: 46(1), P. 283 - 308

Published: June 13, 2023

Abstract Differences in brain structure and functional structural network architecture have been found to partly explain cognitive performance differences older ages. Thus, they may serve as potential markers for these differences. Initial unimodal studies, however, reported mixed prediction results of selective variables based on features using machine learning (ML). the aim current study was investigate general validity from imaging data healthy adults. In particular, focus with examining whether (1) multimodal information, i.e., region-wise grey matter volume (GMV), resting-state connectivity (RSFC), (SC) estimates, improve predictability targets, (2) arise global cognition distinct profiles, (3) generalize across different ML approaches 594 adults (age range: 55–85 years) 1000BRAINS study. Prediction examined each modality all combinations, without confound (i.e., age, education, sex) regression analytic options, variations algorithms, feature sets, concatenation vs. stacking). Results showed that differed considerably between deconfounding strategies. absence demographic confounder control, successful could be observed choices. Combination modalities tended marginally compared single modalities. Importantly, previously described effects vanished strict control condition. Despite a small trend benefit, developing biomarker aging remains challenging.

Language: Английский

Citations

Task-specific topology of brain networks supporting working memory and inhibition DOI

Timofey Adamovich, Victoria Ismatullina, Nadezda Chipeeva

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 10, 2024

Abstract Network neuroscience investigates the brain’s connectome, revealing that cognitive functions are underpinned by dynamic neural networks. This study how distinct abilities—working memory and inhibition—are supported unique brain network configurations, which constructed estimating whole-brain networks through mutual information. The involved 195 participants who completed Sternberg Item Recognition Flanker tasks while undergoing EEG recording. A mixed-effects linear model analyzed influence of metrics on performance, considering individual differences task-specific dynamics. Results indicate working inhibition associated with different attributes, relying distributed more segregated ones. Our analysis suggests both strong weak connections contribute to processes, as could potentially lead a stable support inhibition. findings indirectly Neuroscience Theory Intelligence, suggesting functional topology inherent various functions. Nevertheless, we propose understanding variations in abilities requires recognizing shared processes within Author summary analyzes correspond patterns constructing via information from data subjects performing tasks. Findings reveal is depends research underscores importance function supports notion emerge topology. Moreover, it highlights need account for fully grasp diverse dynamics influencing abilities.

Language: Английский

Citations

Default mode network anti-correlation as a transdiagnostic biomarker of cognitive function DOI

Vaibhav Tripathi, Ishaan Batta, Andre Zamani

et al.

Published: April 14, 2024

The default mode network (DMN) is intricately linked with processes such as self-referential thinking, episodic memory recall, self-projection, and understanding the mindset of others. Over recent years, there has been a surge in examining its functional connectivity, particularly antagonistic relationship frontoparietal networks (FPN) involved top-down attention, executive function, cognitive control. Notably, DMN demonstrates an anti-correlated connection FPN Dorsal Attention Network (DAN), leading to deactivation when one's attention turned towards external environment. fluidity switching between these internal modes processing—highlighted by this connectivity—has proposed indicator health mediated salience (SAL). Due ease estimation connectivity-based measures through resting state fMRI paradigms, now wealth large-scale datasets, paving way for standardized connectivity benchmarks. This review delves into promising role metrics potential biomarkers across mind wandering meditation states, investigating deviations clinical conditions anxiety, depression, ADHD, PTSD Additionally, we tackle issue reliability share recommendations using biomarker health.

Language: Английский

Citations

Model-based Mind Wandering in Older Adults: Age Differences in the Behavioral and Electrophysiological Correlates of Subjective and Objective Measures of Mind Wandering DOI

Sarah Henderson, A. Dawn Ryan,

Luke W. Atack

et al.

Journal of Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 36(9), P. 2029 - 2044

Published: Jan. 1, 2024

Abstract Mind wandering is typically characterized as a failure of attentional control, yet despite age-related executive function deficits, older adults report less mind than younger during cognitive tasks and in daily life. Self-reported episodes usually result similar behavioral detriments (e.g., greater RT variability, more task errors). However, the relatively few studies investigating neural correlates aging have revealed mixed findings, possibly because they rely on infrequent thought probes and, therefore, trials for analyses. In current study, we propose method to recover data by categorizing from commonly used sustained attention response according variability. Behavioral (n = 49 younger; n 40 older) that compared with adults, reported fewer episodes, but showed impacts thereof. Furthermore, both age groups, subjective reports predicted objective sorting into “on-” “off-task” Using these objectively sorted trials, investigated two EEG measures (diminished P1 P3 amplitude) 26 24 adults. Although did not differ between on- off-task either group, was diminished groups (albeit significantly adults) suggesting preserved perceptual reduced higher-order processing periods groups.

Language: Английский

Citations

Oxytocin enhances the triangular association among behavior, resting‐state, and task‐state functional connectivity DOI

Haoming Zhang, Kun Chen, Jin Bao

et al.

Human Brain Mapping, Journal Year: 2023, Volume and Issue: 44(17), P. 6074 - 6089

Published: Sept. 29, 2023

Considerable advances in the role of oxytocin (OT) effect on behavior and brain network have been made, but OT association between inter-individual differences functional connectivity (FC) is elusive. Here, by using a face-perception task multiple connectome-based predictive models, we aimed to (1) determine whether could enhance among behavioral performance, resting-state FC (rsFC), task-state (tsFC) (2) if so, explore enhancing this triangular association. We found that group, prediction performance rsFC or tsFC predict was higher than PL group. Additionally, correlation coefficient substantially group The strength these associations be partly explained altering brain's FCs related social cognition face perception both resting states, mainly regions such as limbic system, prefrontal cortex, temporal poles, temporoparietal junction. Taken together, results provide novel evidence corresponding mechanism for how neuropeptides cause increased across different levels (e.g., large-scale networks task-state), may inspire future research cross clinical nonclinical use.

Language: Английский

Citations

Linking the neural signature of response time variability to Alzheimer’s disease pathology and cognitive functioning DOI

James Teng, Michael R. McKenna, Oyetunde Gbadeyan

et al.

Network Neuroscience, Journal Year: 2024, Volume and Issue: 8(3), P. 697 - 713

Published: Jan. 1, 2024

Promising evidence has suggested potential links between mind-wandering and Alzheimer's disease (AD). Yet, older adults with diagnosable neurocognitive disorders show reduced meta-awareness, thus questioning the validity of probe-assessed in adults. In prior work, we employed response time variability as an objective, albeit indirect, marker to identify patterns functional connectivity that predicted mind-wandering. current study, evaluated association this connectome-based, model cerebral spinal fluid (CSF) p-tau/A

Language: Английский

Citations