Higher general intelligence is linked to stable, efficient, and typical dynamic functional brain connectivity patterns DOI Creative Commons
Justin Ng, Ju‐Chi Yu, Jamie D. Feusner

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: July 24, 2023

Abstract General intelligence, referred to as g, is hypothesized emerge from the capacity dynamically and adaptively reorganize macroscale brain connectivity. Temporal reconfiguration can be assessed using dynamic functional connectivity (dFC), which captures propensity of transition between a recurring repertoire distinct states. Conventional dFC metrics commonly focus on categorical state switching frequencies do not fully assess individual variation in continuous reconfiguration. Here, we supplement frequency measures by quantifying within-state consistency, dissimilarity across states, conformity group-average We utilized resting-state fMRI data large-scale Human Connectome Project applied data-driven multivariate Partial Least Squares Correlation explore emergent associations network properties cognitive ability. Our findings reveal positive association g stable maintenance states characterized higher-order networks, efficient (i.e., minimal changes during transitions similar large dissimilar states), ability sustain close This hints at fundamental brain-behavior organization, suggesting that general processing supported efficiently reconfigure population-typical patterns. Impact Statement Novel evidence for an stability, efficiency, typicality macro-scale patterns higher intelligence.

Language: Английский

Structural-functional brain network coupling predicts human cognitive ability DOI Creative Commons
Johanna L. Popp, Jonas A. Thiele, Joshua Faskowitz

et al.

NeuroImage, Journal Year: 2024, Volume and Issue: 290, P. 120563 - 120563

Published: March 16, 2024

Individual differences in general cognitive ability (GCA) have a biological basis within the structure and function of human brain. Network neuroscience investigations revealed neural correlates GCA structural as well functional brain networks. However, whether relationship between networks, structural-functional network coupling (SC-FC coupling), is related to individual remains an open question. We used data from 1030 adults Human Connectome Project, derived connectivity diffusion weighted imaging, resting-state fMRI, assessed latent g-factor 12 tasks. Two similarity measures six communication were model possible interactions arising SC-FC was estimated degree which these align with actual connectivity, providing insights into different strategies. At whole-brain level, higher associated coupling, but only when considering path transitivity strategy. Taking region-specific variations strategy account differentiating positive negative associations GCA, allows for prediction scores cross-validated framework (correlation predicted observed scores: r = .25, p < .001). The same also predicts completely independent sample (N 567, .19, Our results propose neurobiological correlate suggest strategies efficient information processing predictive ability.

Language: Английский

Citations

18
Functional brain networks involved in the Raven's standard progressive matrices task and their relation to theories of fluid intelligence DOI Creative Commons

Riley Zurrin,

Samantha T. S. Wong, Meighen Roes

et al.

Intelligence, Journal Year: 2024, Volume and Issue: 103, P. 101807 - 101807

Published: Jan. 14, 2024

A dimensionality reduction method was used to determine the task-timing-related functional brain networks underlying Raven's Standard Progressive Matrices (RSPM), a non-verbal estimate of fluid intelligence (Gf). We identified five macro-scale task-based blood‑oxygen-level-dependent (BOLD)-signal and interpreted their network-level task-induced BOLD changes provide interpretations separately for each network. This led new observations about RSPM: (1) multiple demand network (MDN) solution searching peaked early in trial (∼9 s peak), followed by response (RESP) selection (∼12 s), re-evaluation (RE-EV) checking (∼18 (2) high activity MDN correlated with later-peaking RE-EV network, proposed underpin cooperative processes, (3) all conditions associated low accuracy hard RSPM condition, suggesting that those lower performance on problems allocate more resources into solution-searching across conditions. These findings corroborate MDN's significance Gf searching, add as playing an important role, providing overlap abstraction/elaboration hypothesis testing phases Parieto-Frontal Integration Theory (P-FIT). Therefore, this set results not only supports past theoretical work task, but extends it complete anatomical, temporal, information based which replicate over many tasks.

Language: Английский

Citations

7
Towards a theory of biological intelligence DOI

Sabrina Trapp,

Karl Friston, Erich Schröger

et al.

New Ideas in Psychology, Journal Year: 2025, Volume and Issue: 78, P. 101156 - 101156

Published: March 12, 2025

Language: Английский

Citations

0
Electroencephalographic power spectrum patterns related to the intelligence of children with learning disorders DOI Creative Commons

Benito Javier Martínez-Briones,

Thalı́a Fernández, Juan Silva‐Pereyra

et al.

PeerJ, Journal Year: 2025, Volume and Issue: 13, P. e19138 - e19138

Published: March 26, 2025

Children with learning disorders (LD) perform below average in tests of academic abilities and intelligence. These children also have a significantly abnormal resting-state electroencephalogram (EEG) compared to typical development (TD), i.e., an excess slow brain oscillations such as delta theta that may be markers inefficient cognitive processing. We aimed explore the relationship between performance intelligence test EEG power spectrum LD. Ninety-one LD 45 control TD were evaluated Wechsler Intelligence Scale for 4th Edition (WISC-IV) 19-channel during eyes-closed condition. The dimensionality was reduced principal component analysis yielded several components representing bands functional meaning. first seven values analyzed multiple linear regression between-group discriminant analysis. related children's intelligence, predicting 13.1% IQ variance. Generalized inversely IQ, whereas frontoparietal gamma activity directly related. resting state had combined 82.4% success rate discriminate those LDs.

Language: Английский

Citations

0
Process-oriented intelligence research: A review from the cognitive perspective DOI Creative Commons
Gidon T. Frischkorn, Oliver Wilhelm, Klaus Oberauer

et al.

Intelligence, Journal Year: 2022, Volume and Issue: 94, P. 101681 - 101681

Published: July 28, 2022

Despite over a century of research on intelligence, the cognitive processes underlying intelligent behavior are still unclear.In this review, we summarize empirical results investigating contribution associated with working memory capacity, processing speed, and executive to intelligence differences.Specifically, (a) evaluate how three different domains have been measured, (b) these related individual differences in intelligence.Consistently, review illustrates that isolating single using average performance tasks is hardly possible.Instead, formal models implement theories may provide more adequate indicators processes.Therefore, outlined which for specific insights into intelligence.Finally, discuss implications process-oriented measurement psy-chometric argue model-based approach might overcome validity problems traditional theories.

Language: Английский

Citations

15
Structural-Functional Brain Network Coupling Predicts Human Cognitive Ability DOI Creative Commons
Johanna L. Popp, Jonas A. Thiele, Joshua Faskowitz

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 10, 2023

Abstract Individual differences in general cognitive ability (GCA) have a biological basis within the structure and function of human brain. Network neuroscience investigations revealed neural correlates GCA structural as well functional brain networks. However, whether relationship between networks, structural-functional network coupling (SC-FC coupling), is related to individual remains an open question. We used data from 1030 adults Human Connectome Project, derived connectivity diffusion weighted imaging, resting-state fMRI, assessed latent g -factor 12 tasks. Two similarity measures six communication were model possible interactions arising SC-FC was estimated degree which these align with actual connectivity, providing insights into different strategies. At whole-brain level, higher associated coupling, but only when considering path transitivity strategy. Taking region-specific variations strategy account differentiating positive negative associations GCA, allows for prediction scores cross-validated framework (correlation predicted observed scores: r = .25, p < .001). The same also predicts completely independent sample ( N 567, .19, Our results propose neurobiological correlate suggest strategies efficient information processing predictive ability.

Language: Английский

Citations

8
Few temporally distributed brain connectivity states predict human cognitive abilities DOI Creative Commons
Maren H. Wehrheim, Joshua Faskowitz, Olaf Sporns

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 277, P. 120246 - 120246

Published: June 24, 2023

Human functional brain connectivity can be temporally decomposed into states of high and low cofluctuation, defined as coactivation regions over time. Rare particularly cofluctuation have been shown to reflect fundamentals intrinsic network architecture highly subject-specific. However, it is unclear whether such network-defining also contribute individual variations in cognitive abilities - which strongly rely on the interactions among distributed regions. By introducing CMEP, a new eigenvector-based prediction framework, we show that few 16 separated time frames (< 1.5% 10 min resting-state fMRI) significantly predict differences intelligence (N = 263, p < .001). Against previous expectations, individual's do not intelligence. Multiple networks prediction, all results replicate an independent sample 831). Our suggest although person-specific connectomes derived from highest connectivity, information necessary extract about abilities. This restricted specific states, like high-cofluctuation but rather reflected across entire length series.

Language: Английский

Citations

7
Multivariate prediction of cognitive performance from the sleep electroencephalogram DOI Creative Commons
Péter P. Ujma, Róbert Bódizs, Martin Dresler

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 279, P. 120319 - 120319

Published: Aug. 12, 2023

Human cognitive performance is a key function whose biological foundations have been partially revealed by genetic and brain imaging studies. The sleep electroencephalogram (EEG) tightly linked to structural functional features of the central nervous system serves as another promising biomarker. We used data from MrOS, large cohort older men cross-validated regularized regression link EEG in cross-sectional analyses. In independent validation samples 2.5-10% variance can be accounted for features, depending on covariates used. Demographic characteristics account more covariance between cognition than health variables, consequently reduce this association greater degree, but even with strictest covariate sets statistically significant present. Sigma power NREM beta REM were associated better performance, while theta was worse no substantial effect coherence other metrics. Our findings show that (r = 0.283), strongest ascribed spindle-frequency activity. This becomes weaker after adjusting demographic 0.186) variables 0.155), its resilience inclusion suggest it also reflects trait-like differences ability.

Language: Английский

Citations

5
An explorative multiverse study for extracting differences in P3 latencies between young and old adults DOI Creative Commons
Kathrin Sadus, Anna‐Lena Schubert, Christoph Löffler

et al.

Psychophysiology, Journal Year: 2023, Volume and Issue: 61(2)

Published: Nov. 10, 2023

Abstract It is well established that P3 latencies increase with age. Investigating these age‐related differences requires numerous methodological decisions, resulting in pipelines of great variation. The aim the present work was to investigate effects different analytical on real data. Therefore, we conducted an explorative multiverse study and varied low‐pass filter (4 Hz, 8 16 32 no filter), latency type (area vs. peak), level event‐related potential analysis (single participant jackknifing), extraction method (manual automated). Thirty young (18–21 years) 30 old (50–60 participants completed three tasks (Nback task, Switching Flanker task), while EEG recorded. results show strategies can have a tremendous impact detection magnitude age effect, effect sizes ranging from 0% 88% explained variance. Likewise, regarding psychometric properties latencies, found reliabilities fluctuated between r tt = .20 1.00, homogeneities ranged h −.12 .90. Based predefined criteria, most effective relied manual based single participant's For peak performed for all filters except 4 area above Hz produced desirable results. Furthermore, our findings add evidence jackknifing combined lead inconclusive

Language: Английский

Citations

5
An explorative multiverse study for extracting differences in P3 latencies between young and old adults DOI Open Access
Kathrin Sadus, Anna‐Lena Schubert, Christoph Löffler

et al.

Published: Jan. 10, 2023

It is well established that P3 latencies increase with age. Investigating these age-related differences requires numerous methodological decisions, resulting in pipelines of great variation. The aim the present work to investigate effects different analytical on real data. Therefore, we conducted an explorative multiverse study and varied low-pass filter (4 Hz, 8 16 32 no filter), latency type (area vs. peak), level ERP analysis (single participant jackknifing) extraction method (manual automated). 30 young (18 – 21 years) old (50 60 participants completed three tasks (Nback task, Switching Flanker task) while EEG was recorded.The results show strategies can have a tremendous impact detection magnitude age effect, effect sizes ranging from 0% 88% explained variance. Likewise, regarding psychometric properties latencies, found reliabilities fluctuated between rtt = .20 1.00, homogeneities ranged rh -.12 .90. Based predefined criteria, most effective relied manual based single participant's For peak performed for all filters except 4 area above Hz produced desirable results. Furthermore, our findings add evidence jackknifing combined lead inconclusive

Language: Английский

Citations

3