Cerebellar Engagement In The Attachment Behavioral System

Abstract Brain structural bases of individual differences in attachment are not yet fully clarified. Given the evidence of relevant cerebellar contribution to cognitive, affective, and social functions, the present research was aimed at investigating potential associations between attachment dimensions (through the Attachment Style Questionnaire, ASQ) and cerebellar macro- and micro-structural measures (Volumetric and Diffusion Tensor Imaging data). In a sample of 79 healthy subjects, cerebellar and neocortical volumetric data were correlated with ASQ scores at the voxel level within specific Regions Of Interest. Also, correlations between ASQ scores and age, years of education, anxiety and depression levels were performed to control for the effects of sociodemographic and psychological variables on neuroimaging results.Positive associations between scores of the Preoccupation with Relationships (ASQ subscale associated to insecure/anxious attachment) and cortical volume were found in the cerebellum (right lobule VI and left Crus 2) and neocortex (right medial OrbitoFrontal Cortex, OFC) regions. Cerebellar contribution to the attachment behavioral system reflects the more general cerebellar engagement in the regulation of emotional and social behaviors. Cerebellar properties of timing, prediction, and learning well integrate with OFC processing supporting the regulation of attachment experiences. Cerebellar areas might be rightfully included in the attachment behavioral system.

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Analysis of diffusion tensor imaging data from the UK Biobank confirms dosage effect of 15q11.2 copy-number variation on white matter and shows association with cognition

Biological Psychiatry ◽

10.1016/j.biopsych.2021.02.969 ◽

2021 ◽

Author(s):

Ana I. Silva ◽

George Kirov ◽

Kimberley M. Kendall ◽

Mathew Bracher-Smith ◽

Lawrence S. Wilkinson ◽

...

Keyword(s):

Diffusion Tensor Imaging ◽

White Matter ◽

Copy Number Variation ◽

Copy Number ◽

Diffusion Tensor ◽

Uk Biobank ◽

Imaging Data ◽

Number Variation ◽

The Uk ◽

Diffusion Tensor Imaging Data

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Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm

Artificial Intelligence in Medicine ◽

10.1016/j.artmed.2016.09.003 ◽

2016 ◽

Vol 73 ◽

pp. 14-22 ◽

Cited By ~ 5

Author(s):

Tahereh Kamali ◽

Daniel Stashuk

Keyword(s):

Diffusion Tensor Imaging ◽

White Matter ◽

Clustering Algorithm ◽

Diffusion Tensor ◽

Fiber Bundles ◽

Automated Segmentation ◽

Imaging Data ◽

Density Based Clustering ◽

Diffusion Tensor Imaging Data

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Fractional anisotropy-weighted front evolution algorithm for white matter tractography based on diffusion tensor imaging data

International Journal of Imaging Systems and Technology ◽

10.1002/ima.20296 ◽

2011 ◽

Vol 21 (4) ◽

pp. 307-314

Author(s):

Fahimeh Darki ◽

Mohammad Ali Oghabian ◽

Alireza Ahmadian ◽

Hamid Soltanian Zadeh ◽

Mojtaba Zarei

Keyword(s):

Diffusion Tensor Imaging ◽

White Matter ◽

Fractional Anisotropy ◽

Diffusion Tensor ◽

Imaging Data ◽

Evolution Algorithm ◽

White Matter Tractography ◽

Diffusion Tensor Imaging Data

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Individual Prediction of Cognitive Decline in Mild Cognitive Impairment Using Support Vector Machine-Based Analysis of Diffusion Tensor Imaging Data

Journal of Alzheimer s Disease ◽

10.3233/jad-2010-100840 ◽

2010 ◽

Vol 22 (1) ◽

pp. 315-327 ◽

Cited By ~ 61

Author(s):

Sven Haller ◽

Duy Nguyen ◽

Cristelle Rodriguez ◽

Joan Emch ◽

Gabriel Gold ◽

...

Keyword(s):

Support Vector Machine ◽

Cognitive Impairment ◽

Diffusion Tensor Imaging ◽

Mild Cognitive Impairment ◽

Cognitive Decline ◽

Diffusion Tensor ◽

Support Vector ◽

Imaging Data ◽

Diffusion Tensor Imaging Data

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White Matter Development from Birth to 6 Years of Age: A Longitudinal Study

Cerebral Cortex ◽

10.1093/cercor/bhaa170 ◽

2020 ◽

Vol 30 (12) ◽

pp. 6152-6168

Author(s):

Rebecca L Stephens ◽

Benjamin W Langworthy ◽

Sarah J Short ◽

Jessica B Girault ◽

Martin A Styner ◽

...

Keyword(s):

Individual Differences ◽

White Matter ◽

Diffusion Tensor ◽

First Year ◽

Imaging Data ◽

White Matter Microstructure ◽

White Matter Development ◽

Psychiatric Outcomes ◽

First Year Of Life ◽

Diffusion Tensor Imaging Data

Abstract Human white matter development in the first years of life is rapid, setting the foundation for later development. Microstructural properties of white matter are linked to many behavioral and psychiatric outcomes; however, little is known about when in development individual differences in white matter microstructure are established. The aim of the current study is to characterize longitudinal development of white matter microstructure from birth through 6 years to determine when in development individual differences are established. Two hundred and twenty-four children underwent diffusion-weighted imaging after birth and at 1, 2, 4, and 6 years. Diffusion tensor imaging data were computed for 20 white matter tracts (9 left–right corresponding tracts and 2 commissural tracts), with tract-based measures of fractional anisotropy and axial and radial diffusivity. Microstructural maturation between birth and 1 year are much greater than subsequent changes. Further, by 1 year, individual differences in tract average values are consistently predictive of the respective 6-year values, explaining, on average, 40% of the variance in 6-year microstructure. Results provide further evidence of the importance of the first year of life with regard to white matter development, with potential implications for informing early intervention efforts that target specific sensitive periods.

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