Journal Article10.1093/cercor/bhac520
Predicting executive functioning from functional brain connectivity: network specificity and age effects.
Marisa K. Heckner,Edna C. Cieslik,Kaustubh R. Patil,Martin Gell,Simon B. Eickhoff,F. Hoffstädter,Robert Langner +6 more
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TL;DR: In this paper , the authors investigated to what degree individual abilities across three different executive functioning tasks can be predicted from resting-state functional connectivity (RSFC) within EF-related, perceptuo-motor, whole-brain, and random networks separately in young and old adults.
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Abstract: Healthy aging is associated with altered executive functioning (EF). Earlier studies found age-related differences in EF performance to be partially accounted for by changes in resting-state functional connectivity (RSFC) within brain networks associated with EF. However, it remains unclear which role RSFC in EF-associated networks plays as a marker for individual differences in EF performance. Here, we investigated to what degree individual abilities across 3 different EF tasks can be predicted from RSFC within EF-related, perceptuo-motor, whole-brain, and random networks separately in young and old adults. Specifically, we were interested if (i) young and old adults differ in predictability depending on network or EF demand level (high vs. low), (ii) an EF-related network outperforms EF-unspecific networks when predicting EF abilities, and (iii) this pattern changes with demand level. Both our uni- and multivariate analysis frameworks analyzing interactions between age × demand level × networks revealed overall low prediction accuracies and a general lack of specificity regarding neurobiological networks for predicting EF abilities. This questions the idea of finding markers for individual EF performance in RSFC patterns and calls for future research replicating the current approach in different task states, brain modalities, different, larger samples, and with more comprehensive behavioral measures.
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Citations
The Burden of Reliability: How Measurement Noise Limits Brain-Behaviour Predictions
Martin Gell,Simon B. Eickhoff,Amir Omidvarnia,Vincent Küppers,Kaustubh R. Patil,Theodore D. Satterthwaite,Veronika I. Müller,Robert Langner +7 more
TL;DR: In this paper , the authors demonstrate the impact of low phenotypic reliability on individual-level prediction performance by using simulated and empirical data from the Human Connectome Projects, and show that even moderate reliability levels of commonly used behavioural phenotypes can markedly limit the ability to link brain and behaviour when underlying relations are weak.
The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing
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Brain functional characterization of response-code conflict in dual-tasking and its modulation by age
Lya K. Paas Oliveros,Edna C. Cieslik,Aleks Pieczykolan,Rachel N. Pläschke,Simon B. Eickhoff,Robert Langner +5 more
TL;DR: Brain functional characterization of response-code conflict in dual-tasking and its modulation by age reveals increased activation in the multiple-demand network and non-compensatory hyperactivity in older adults.
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Network and State Specificity in Connectivity-Based Predictions of Individual Behavior
N. Blaskovic Kraljevic,Robert Langner,Vincent Küppers,Federico Raimondo,Kaustubh R. Patil,Simon B. Eickhoff,Veronika I. Müller +6 more
TL;DR: In this paper , the authors used the Human Connectome Project (HCP) data for large-scale out-of-sample predictions of individual abilities in working memory (WM), theory of mind cognition (SOCIAL), and emotion processing (EMO) from functional connectivity (FC) of corresponding and non-corresponding states and networks.
Predicting executive functioning from brain networks: modality specificity and age effects
Marisa K. Heckner,Edna C. Cieslik,Lya K. Paas Oliveros,Simon B. Eickhoff,Kaustubh R. Patil,Robert Langner +5 more
TL;DR: The neural implementation of executive functioning (EF) in older adults is challenging to predict from brain networks, with low prediction accuracy and limited association with brain measures.
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