scholarly journals Population-Based Tract-To-Region Connectome of the Human Brain and Its Hierarchical Topology

2021 ◽  
Author(s):  
Fang-Cheng Yeh
Keyword(s):  
Individual Differences ◽  
White Matter ◽  
Population Based ◽  
Cortical Region ◽  
White Matter Tract ◽  
Hierarchical Topology ◽  
Information Gap ◽  
Cortical Regions ◽  
Hierarchical Relation ◽  
Population Probability

Abstract Connectome maps region-to-region connectivities but does not inform which white matter pathways form the connections. Here we constructed the first population-based tract-to-region connectome to fill this information gap. The constructed connectome quantifies the population probability of a white matter tract innervating a cortical region. The results show that ~85% of the tract-to-region connectome entries are consistent across individuals, whereas the remaining (~15%) have substantial individual differences requiring individualized mapping. Further hierarchical clustering on cortical regions revealed their parcellations into dorsal, ventral, and limbic networks based on the tract-to-region connective patterns. The clustering results on white matter bundles revealed the connectome-based categorization of fiber bundle systems in the association pathways. This new tract-to-region connectome provides insights into the connective topology between cortical regions and white matter bundles. The derived hierarchical relation further offers a connectome-based categorization of gray matter and white matter structures.

scholarly journals Longitudinal deterioration of white-matter integrity: heterogeneity in the ageing population

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Konstantinos Poulakis ◽  
Robert I Reid ◽  
Scott A Przybelski ◽  
David S Knopman ◽  
Jonathan Graff-Radford ◽  
...  
Keyword(s):  
White Matter ◽  
Internal Capsule ◽  
Population Based ◽  
White Matter Integrity ◽  
Ageing Population ◽  
White Matter Tract ◽  
Imaging Data ◽  
Cognitive Assessments ◽  
Longitudinal Imaging ◽  
Systemic Health

Abstract Deterioration in white-matter health plays a role in cognitive ageing. Our goal was to discern heterogeneity of white-matter tract vulnerability in ageing using longitudinal imaging data (two to five imaging and cognitive assessments per participant) from a population-based sample of 553 elderly participants (age ≥60 years). We found that different clusters (healthy white matter, fast white-matter decliners and intermediate white-matter group) were heterogeneous in the spatial distribution of white-matter integrity, systemic health and cognitive trajectories. White-matter health of specific tracts (genu of corpus callosum, posterior corona radiata and anterior internal capsule) informed about cluster assignments. Not surprisingly, brain amyloidosis was not significantly different between clusters. Clusters had differential white-matter tract vulnerability to ageing (commissural fibres > association/brainstem fibres). Identification of vulnerable white-matter tracts is a valuable approach to assessing risk for cognitive decline.

scholarly journals Probing brain developmental patterns of myelination and associations with psychopathology in youth using gray/white matter contrast

2018 ◽  
Author(s):  
Linn B. Norbom ◽  
Nhat Trung Doan ◽  
Dag Alnæs ◽  
Tobias Kaufmann ◽  
Torgeir Moberget ◽  
...  
Keyword(s):  
Individual Differences ◽  
White Matter ◽  
Cognitive Ability ◽  
Large Population ◽  
Population Based ◽  
Magnetic Resonance Images ◽  
Childhood And Adolescence ◽  
Cognitive Components ◽  
Age Related ◽  
Regional Associations

AbstractBackgroundCerebral myeloarchitecture shows substantial development across childhood and adolescence, and aberrations in these trajectories are relevant for a range of mental disorders. Differential myelination between intracortical and subjacent white matter can be approximated using signal intensities in T1-weighted magnetic resonance images (MRI).MethodsTo test the sensitivity of gray/white matter contrast (GWC) to age and individual differences in psychopathology and general cognitive ability in youth (8-23 years), we formed data-driven psychopathology and cognitive components using a large population-based sample, the Philadelphia Neurodevelopmental Cohort (PNC) (n=6487, 52% females). We then tested for associations with regional GWC defined by an independent component analysis (ICA) in a subsample with available MRI data (n=1467, 53% females).ResultsThe analyses revealed a global GWC component, which showed an age-related decrease from late childhood and across adolescence. In addition, we found regional anatomically meaningful components with differential age associations explaining variance beyond the global component. When accounting for age and sex, both higher symptom levels of anxiety or prodromal psychosis and lower cognitive ability were associated with higher GWC in insula and cingulate cortices and with lower GWC in pre- and postcentral cortices. We also found several additional regional associations with anxiety, prodromal psychosis and cognitive ability.ConclusionIndependent modes of GWC variation are sensitive to global and regional brain developmental processes, possibly related to differences between intracortical and subjacent white matter myelination, and individual differences in regional GWC are associated with both mental health and general cognitive functioning.

scholarly journals Linking cortical atrophy to white matter hyperintensities of presumed vascular origin

2020 ◽  
pp. 0271678X2097417
Author(s):  
Carola Mayer ◽  
Benedikt M Frey ◽  
Eckhard Schlemm ◽  
Marvin Petersen ◽  
Kristin Engelke ◽  
...  
Keyword(s):  
White Matter ◽  
Cortical Thickness ◽  
White Matter Hyperintensities ◽  
Small Vessel Disease ◽  
Population Based ◽  
Vascular Lesions ◽  
Cortical Atrophy ◽  
Increased Risk ◽  
Cortical Regions ◽  
The Relationship

We examined the relationship between white matter hyperintensities (WMH) and cortical neurodegeneration in cerebral small vessel disease (CSVD) by investigating whether cortical thickness is a remote effect of WMH through structural fiber tract connectivity in a population at increased risk of CSVD. We measured cortical thickness on T1-weighted images and segmented WMH on FLAIR images in 930 participants of a population-based cohort study at baseline. DWI-derived whole-brain probabilistic tractography was used to define WMH connectivity to cortical regions. Linear mixed-effects models were applied to analyze the relationship between cortical thickness and connectivity to WMH. Factors associated with cortical thickness (age, sex, hemisphere, region, individual differences in cortical thickness) were added as covariates. Median age was 64 [IQR 46–76] years. Visual inspection of surface maps revealed distinct connectivity patterns of cortical regions to WMH. WMH connectivity to the cortex was associated with reduced cortical thickness ( p = 0.009) after controlling for covariates. This association was found for periventricular WMH ( p = 0.001) only. Our results indicate an association between WMH and cortical thickness via connecting fiber tracts. The results imply a mechanism of secondary neurodegeneration in cortical regions distant, yet connected to subcortical vascular lesions, which appears to be driven by periventricular WMH.

Individual differences in white and grey matter structure associated with verbal habits of thought

2019 ◽  
Author(s):  
Justin C. Hayes ◽  
Katherine L Alfred ◽  
Rachel Pizzie ◽  
Joshua S. Cetron ◽  
David J. M. Kraemer
Keyword(s):  
Individual Differences ◽  
White Matter ◽  
Cognitive Processing ◽  
Grey Matter ◽  
Structural Changes ◽  
Structural Integrity ◽  
Diffusion Tensor ◽  
Self Report ◽  
White Matter Tracts

Modality specific encoding habits account for a significant portion of individual differences reflected in functional activation during cognitive processing. Yet, little is known about how these habits of thought influence long-term structural changes in the brain. Traditionally, habits of thought have been assessed using self-report questionnaires such as the visualizer-verbalizer questionnaire. Here, rather than relying on subjective reports, we measured habits of thought using a novel behavioral task assessing attentional biases toward picture and word stimuli. Hypothesizing that verbal habits of thought are reflected in the structural integrity of white matter tracts and cortical regions of interest, we used diffusion tensor imaging and volumetric analyses to assess this prediction. Using a whole-brain approach, we show that word bias is associated with increased volume in several bilateral language regions, in both white and grey matter parcels. Additionally, connectivity within white matter tracts within an a priori speech production network increased as a function of word bias. These results demonstrate long-term structural and morphological differences associated with verbal habits of thought.

Cortically constrained shape recognition: Automated white matter tract segmentation validated in the pediatric brain

2021 ◽  
Author(s):  
Kesshi M. Jordan ◽  
Michael Lauricella ◽  
Abigail E. Licata ◽  
Simone Sacco ◽  
Carlo Asteggiano ◽  
...  
Keyword(s):  
White Matter ◽  
Shape Recognition ◽  
White Matter Tract ◽  
Pediatric Brain

Cognition, structural brain changes and complicated grief. A population-based study

2014 ◽  
Vol 45 (7) ◽  
pp. 1389-1399 ◽  
Author(s):  
H. C. Saavedra Pérez ◽  
M. A. Ikram ◽  
N. Direk ◽  
H. G. Prigerson ◽  
R. Freak-Poli ◽  
...  
Keyword(s):  
White Matter ◽  
Brain Volume ◽  
Complicated Grief ◽  
Population Based ◽  
Word Fluency ◽  
Total Brain Volume ◽  
Population Based Study ◽  
Total Brain ◽  
Fluency Task ◽  
Structural Brain

BackgroundSeveral psychosocial risk factors for complicated grief have been described. However, the association of complicated grief with cognitive and biological risk factors is unclear. The present study examined whether complicated grief and normal grief are related to cognitive performance or structural brain volumes in a large population-based study.MethodThe present research comprised cross-sectional analyses embedded in the Rotterdam Study. The study included 5501 non-demented persons. Participants were classified as experiencing no grief (n = 4731), normal grief (n = 615) or complicated grief (n = 155) as assessed with the Inventory of Complicated Grief. All persons underwent cognitive testing (Mini-Mental State Examination, Letter–Digit Substitution Test, Stroop Test, Word Fluency Task, word learning test – immediate and delayed recall), and magnetic resonance imaging to measure general brain parameters (white matter, gray matter), and white matter lesions. Total brain volume was defined as the sum of gray matter plus normal white matter and white matter lesion volume. Persons with depressive disorders were excluded and analyses were adjusted for depressive symptoms.ResultsCompared with no-grief participants, participants with complicated grief had lower scores for the Letter–Digit Substitution Test [Z-score −0.16 v. 0.04, 95% confidence interval (CI) −0.36 to −0.04, p = 0.01] and Word Fluency Task (Z-score −0.15 v. 0.03, 95% CI −0.35 to −0.02, p = 0.02) and smaller total volumes of brain matter (933.53 ml v. 952.42 ml, 95% CI −37.6 to −0.10, p = 0.04).ConclusionsParticipants with complicated grief performed poorly in cognitive tests and had a smaller total brain volume. Although the effect sizes were small, these findings suggest that there may be a neurological correlate of complicated grief, but not of normal grief, in the general population.

PS1 - 4. Widespread decreased white matter tract integrity in T1DM patients with microangiopathy and its relation to cognitive functions

2011 ◽  
Vol 9 (3) ◽  
pp. 93-93
Author(s):  
Eelco van Duinkerken ◽  
Petra J.W. Pouwels ◽  
Richard G. IJzerman ◽  
Frederik Barkhof ◽  
Martin Klein ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Functions ◽  
White Matter Tract
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