Linda Geerligs

ORCID: 0000-0002-1624-8380
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • EEG and Brain-Computer Interfaces
  • Advanced Neuroimaging Techniques and Applications
  • Mental Health Research Topics
  • Memory and Neural Mechanisms
  • Visual perception and processing mechanisms
  • Advanced MRI Techniques and Applications
  • Neural Networks and Applications
  • Face Recognition and Perception
  • Health, Environment, Cognitive Aging
  • Dementia and Cognitive Impairment Research
  • Parkinson's Disease Mechanisms and Treatments
  • Cognitive Science and Education Research
  • Complex Network Analysis Techniques
  • Bayesian Methods and Mixture Models
  • Cognitive Science and Mapping
  • Bioinformatics and Genomic Networks
  • Action Observation and Synchronization
  • Cognitive Functions and Memory
  • Statistical Methods and Inference
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Cardiovascular Health and Risk Factors
  • Visual Attention and Saliency Detection

Radboud University Nijmegen
2017-2025

MRC Cognition and Brain Sciences Unit
2014-2023

Radboud University Medical Center
2023

University of Cambridge
2014-2023

University of Amsterdam
2021

Medical Research Council
2015-2017

University of Groningen
2009-2015

University Medical Center Groningen
2009-2015

Aging affects functional connectivity between brain areas, however, a complete picture of how aging integration information within and networks is missing. We used complex network measures, derived from brain-wide graph, to provide comprehensive overview age-related changes in connectivity. Functional young older participants was assessed during resting-state fMRI. The results show that has large impact, not only on but also the different brain. Brain elderly showed decreased modularity...

10.1093/cercor/bhu012 article EN Cerebral Cortex 2014-02-13

Resting-state functional connectivity, as measured by magnetic resonance imaging (fMRI), is often treated a trait, used, for example, to draw inferences about individual differences in cognitive function, or between healthy diseased populations. However, connectivity can also depend on the individual's mental state. In present study, we examined relative contribution of state and trait components shaping an architecture. We used fMRI data from large, population-based human sample ( N = 587,...

10.1523/jneurosci.1324-15.2015 article EN cc-by-nc-sa Journal of Neuroscience 2015-10-14

The maintenance of wellbeing across the lifespan depends on preservation cognitive function. We propose that successful aging is determined by interactions both within and between large-scale functional brain networks. Such connectivity can be estimated from task-free magnetic resonance imaging (fMRI), also known as resting-state fMRI (rs-fMRI). However, common correlational methods are confounded age-related changes in neurovascular signaling. To estimate network at neuronal rather than...

10.1523/jneurosci.2733-15.2016 article EN cc-by-nc-sa Journal of Neuroscience 2016-03-16

Many studies report individual differences in functional connectivity, such as those related to age. However, estimates of connectivity from fMRI are confounded by other factors, vascular health, head motion and changes the location regions. Here, we investigate impact these confounds, pre-processing strategies that can mitigate them, using data Cambridge Centre for Ageing & Neuroscience (www.cam-can.com). This dataset contained two sessions resting-state 214 adults aged 18-88. Functional...

10.1002/hbm.23653 article EN cc-by Human Brain Mapping 2017-05-23

The importance of studying connectivity in the aging brain is increasingly recognized. Recent studies have shown that within default mode network reduced with age and demonstrated a clear relation these changes cognitive functioning. However, research on age-related other functional networks sparse mainly focused prespecified networks. Using magnetic resonance imaging, we investigated during visual oddball task range It was found compared young participants, elderly showed decrease between...

10.1002/hbm.22175 article EN Human Brain Mapping 2012-08-23

Abstract Ageing is characterized by declines on a variety of cognitive measures. These are often attributed to general, unitary underlying cause, such as reduction in executive function owing atrophy the prefrontal cortex. However, age-related changes likely multifactorial, and relationship between neural measures not well-understood. Here we address this large ( N =567), population-based sample drawn from Cambridge Centre for Neuroscience (Cam-CAN) data. We relate fluid intelligence...

10.1038/ncomms6658 article EN cc-by Nature Communications 2014-12-18

Abstract The control of voluntary movement changes markedly with age. A critical component motor is the integration sensory information predictions consequences action, arising from internal models movement. This leads to sensorimotor attenuation—a reduction in perceived intensity sensations self-generated compared external actions. Here we show that attenuation occurs 98% adults a population-based cohort ( n =325; 18–88 years; Cambridge Centre for Ageing and Neuroscience). Importantly,...

10.1038/ncomms13034 article EN cc-by Nature Communications 2016-10-03

The locus coeruleus (LC), the origin of noradrenergic modulation cognitive and behavioral function, may play an important role healthy ageing in neurodegenerative conditions. We investigated functional significance age-related differences mean normalized LC signal intensity values (LC-CR) magnetization-transfer (MT) images from Cambridge Centre for Ageing Neuroscience (Cam-CAN) cohort - open-access, population-based dataset. Using structural equation modelling, we tested pre-registered...

10.1038/s41467-020-15410-w article EN cc-by Nature Communications 2020-04-06

Studies of brain-wide functional connectivity or structural covariance typically use measures like the Pearson correlation coefficient, applied to data that have been averaged across voxels within regions interest (ROIs). However, averaging may result in biased estimates when there is inhomogeneity those ROIs, e.g., sub-regions exhibit different patterns covariance. Here, we propose a new measure based on "distance correlation"; test multivariate dependence high dimensional vectors, which...

10.1016/j.neuroimage.2016.04.047 article EN cc-by NeuroImage 2016-05-01

Much is known about how age affects the brain during tightly controlled, though largely contrived, experiments, but do these effects extrapolate to everyday life? Naturalistic stimuli, such as movies, closely mimic real world and provide a window onto brain's ability respond in timely measured fashion complex, events. Young adults stimuli highly synchronized fashion, it remains be seen neural responsiveness naturalistic viewing. To this end, we scanned large (N = 218), population-based...

10.1016/j.neurobiolaging.2015.07.028 article EN cc-by Neurobiology of Aging 2015-08-06

A fundamental aspect of human experience is that it segmented into discrete events. This may be underpinned by transitions between distinct neural states. Using an innovative data-driven state segmentation method, we investigate how states are organized across the cortical hierarchy and where in cortex boundaries perceived event overlap. Our results show a temporal hierarchy, with short primary sensory regions, long lateral medial prefrontal cortex. State shared within groups brain regions...

10.7554/elife.77430 article EN cc-by eLife 2022-09-16

Abstract Mid-level visual processing represents a crucial stage between basic sensory input and higher-level object recognition. The conventional model posits that fundamental qualities like color motion are processed in specialized, retinotopic brain regions (e.g., V4 for color, MT/V5 motion). Using atlas-based lesion-symptom mapping disconnectome maps cohort of 307 ischemic stroke patients, we examined the neuroanatomical correlates underlying eight mid-level qualities. Contrary to...

10.1093/brain/awaf009 article EN cc-by-nc Brain 2025-01-13

Apolipoprotein E ε4 is a major genetic risk factor for Alzheimer’s disease, and some apolipoprotein carriers show disease–related neuropathology many years before cognitive changes are apparent. Therefore, studying healthy genotyped individuals offers an opportunity to investigate the earliest in brain measures that may signal presence of disease-related processes. For example, subtle functional magnetic resonance imaging connectivity, particularly within default mode network, have been...

10.1177/23982128251314577 article EN cc-by-nc Brain and Neuroscience Advances 2025-01-01

While some elderly show deteriorations in cognitive performance, others achieve performance levels comparable to young adults. To examine whether age-related changes brain activity varied with working memory efficiency, we recorded electroencephalography (EEG) from and older healthy adults during on an n-back task two loads (0- 1-back) versions (identity integrated). Young showed a typical P3 amplitude pattern parietal-maximum. Compared adults, the of was characterized by frontal...

10.1371/journal.pone.0063701 article EN cc-by PLoS ONE 2013-05-07

Abstract Memory problems are among the most common complaints as people grow older. Using structural equation modeling of commensurate scores anterograde memory from a large (N = 315), population-derived sample ( www.cam-can.org ), we provide evidence for three factors that supported by distinct brain regions and show differential sensitivity to age. Associative item dramatically affected age, even after adjusting education level fluid intelligence, whereas visual priming is not....

10.1038/srep32527 article EN cc-by Scientific Reports 2016-09-07

Healthy ageing has disparate effects on different cognitive domains. The neural basis of these differences, however, is largely unknown. We investigated this question by using Independent Components Analysis to obtain functional brain components from 98 healthy participants aged 23-87 years the population-based Cam-CAN cohort. Participants performed two tasks that show age-related decrease (fluid intelligence and object naming) a syntactic comprehension task shows preservation. report...

10.1038/ncomms14743 article EN cc-by Nature Communications 2017-05-08

The adaption of movement to changes in the environment varies across life span. Recent evidence has linked motor adaptation and its reduction with age differences "explicit" learning processes. We examine brain structure cognition underlying a population-based cohort (n = 322, aged 18–89 years) using visuomotor task structural magnetic resonance imaging. Reduced was associated reduced volume striatum, prefrontal, sensorimotor cortical regions, but not cerebellum. Medial temporal lobe volume,...

10.1016/j.neurobiolaging.2020.02.016 article EN cc-by Neurobiology of Aging 2020-02-20

Healthy aging is accompanied by progressive decline in cognitive performance and concomitant changes brain structure functional architecture. Age-accompanied alterations function have been characterized on a network level as weaker connections within networks along with stronger interactions between networks. This phenomenon has described age-related differences segregation. It suggested that related to associative processes are particularly sensitive deterioration segregation, possibly...

10.1016/j.neuroimage.2021.118449 article EN cc-by NeuroImage 2021-08-03

Segmenting perceptual experience into meaningful events is a key cognitive process that helps us make sense of what happening around in the moment, as well helping recall past events. Nevertheless, little known about underlying neural mechanisms event segmentation process. Recent work has suggested can be linked to regional changes activity patterns. Accurate methods for identifying such are important allow further investigation basis and its link temporal processing hierarchy brain. In this...

10.1016/j.neuroimage.2021.118085 article EN cc-by NeuroImage 2021-04-19

Abstract Slowing is a common feature of ageing, yet direct relationship between neural slowing and brain atrophy to be established in healthy humans. We combine magnetoencephalographic (MEG) measures processing speed with magnetic resonance imaging (MRI) white grey matter large population-derived cohort investigate the age-related structural differences visual evoked field (VEF) auditory (AEF) delay across two different tasks. Here we use novel technique show that VEFs exhibit constant...

10.1038/ncomms15671 article EN cc-by Nature Communications 2017-06-09

Focal lesions can affect connectivity between distal brain regions (connectional diaschisis) and impact the graph-theoretic properties of major networks (connectomic diaschisis). Given its unique anatomy diverse range functions, hippocampus has been claimed to be a critical "hub" in networks. We investigated effects hippocampal on structural functional six patients with amnesia, using magnetic resonance imaging (MRI) analyses. Neuropsychological assessment revealed marked episodic memory...

10.1002/hipo.22621 article EN cc-by Hippocampus 2016-08-02

Brain function is thought to become less specialized with age. However, this view largely based on findings of increased activation during tasks that fail separate task-related processes (e.g., attention, decision making) from the cognitive process under examination. Here we take a systems-level approach specific language comprehension those related general task demands and examine age differences in functional connectivity both within between systems. A large population-based sample ( N =...

10.1523/jneurosci.4561-15.2016 article EN cc-by-nc-sa Journal of Neuroscience 2016-05-11

Cardiovascular health declines with age, increasing the risk of hypertension and elevated heart rate in middle old age. Here, we used multivariate techniques to investigate associations between cardiovascular (diastolic blood pressure, systolic rate) white matter macrostructure (lesion volume number) microstructure (as measured by diffusion-weighted imaging) cross-sectional, population-based Cam-CAN cohort (N = 667, aged 18–88). We found that age made approximately similar contributions...

10.1016/j.neurobiolaging.2018.10.005 article EN cc-by Neurobiology of Aging 2018-10-12
Coming Soon ...