scholarly journals Beyond the average brain: individual differences in social brain development are associated with friendship quality

2020 ◽  
Author(s):  
Andrik I Becht ◽  
Lara M Wierenga ◽  
Kathryn L Mills ◽  
Rosa Meuwese ◽  
Anna van Duijvenvoorde ◽  
...  
Keyword(s):  
Individual Differences ◽  
Brain Development ◽  
Surface Area ◽  
Cortical Thickness ◽  
Friendship Quality ◽  
Brain Regions ◽  
Structural Development ◽  
Quality Development ◽  
Social Brain ◽  
Temporoparietal Junction

Abstract We tested whether adolescents differ from each other in the structural development of the social brain and whether individual differences in social brain development predicted variability in friendship quality development. Adolescents (N = 299, Mage T1 = 13.98 years) were followed across three biannual waves. We analysed self-reported friendship quality with the best friend at T1 and T3, and bilateral measures of surface area and cortical thickness of the medial prefrontal cortex (mPFC), posterior superior temporal sulcus (pSTS), temporoparietal junction (TPJ) and precuneus across all waves. At the group level, growth curve models confirmed non-linear decreases of surface area and cortical thickness in social brain regions. We identified substantial individual differences in levels and change rates of social brain regions, especially for surface area of the mPFC, pSTS and TPJ. Change rates of cortical thickness varied less between persons. Higher levels of mPFC surface area and cortical thickness predicted stronger increases in friendship quality over time. Moreover, faster cortical thinning of mPFC surface area predicted a stronger increase in friendship quality. Higher levels of TPJ cortical thickness predicted lower friendship quality. Together, our results indicate heterogeneity in social brain development and how this variability uniquely predicts friendship quality development.

scholarly journals Cortical thickness and surface area correlates with cognitive dysfunction among first-episode psychosis patients

2016 ◽  
Vol 46 (10) ◽  
pp. 2145-2155 ◽  
Author(s):  
L. Haring ◽  
A. Müürsepp ◽  
R. Mõttus ◽  
P. Ilves ◽  
K. Koch ◽  
...  
Keyword(s):  
Structure Function ◽  
Surface Area ◽  
Cortical Thickness ◽  
Brain Structure ◽  
Brain Mri ◽  
Brain Regions ◽  
First Episode Psychosis ◽  
First Episode ◽  
Neurocognitive Performance ◽  
Episode Psychosis

BackgroundIn studies using magnetic resonance imaging (MRI), some have reported specific brain structure–function relationships among first-episode psychosis (FEP) patients, but findings are inconsistent. We aimed to localize the brain regions where cortical thickness (CTh) and surface area (cortical area; CA) relate to neurocognition, by performing an MRI on participants and measuring their neurocognitive performance using the Cambridge Neuropsychological Test Automated Battery (CANTAB), in order to investigate any significant differences between FEP patients and control subjects (CS).MethodExploration of potential correlations between specific cognitive functions and brain structure was performed using CANTAB computer-based neurocognitive testing and a vertex-by-vertex whole-brain MRI analysis of 63 FEP patients and 30 CS.ResultsSignificant correlations were found between cortical parameters in the frontal, temporal, cingular and occipital brain regions and performance in set-shifting, working memory manipulation, strategy usage and sustained attention tests. These correlations were significantly dissimilar between FEP patients and CS.ConclusionsSignificant correlations between CTh and CA with neurocognitive performance were localized in brain areas known to be involved in cognition. The results also suggested a disrupted structure–function relationship in FEP patients compared with CS.

scholarly journals Brain development during adolescence: A mixed-longitudinal investigation of cortical thickness, surface area, and volume

2016 ◽  
Vol 37 (6) ◽  
pp. 2027-2038 ◽  
Author(s):  
Nandita Vijayakumar ◽  
Nicholas B. Allen ◽  
George Youssef ◽  
Meg Dennison ◽  
Murat Yücel ◽  
...  
Keyword(s):  
Brain Development ◽  
Surface Area ◽  
Cortical Thickness ◽  
Longitudinal Investigation ◽  
Area And Volume

scholarly journals Puberty and social brain development

2020 ◽  
Author(s):  
Marjolein Barendse ◽  
Jennifer H Pfeifer
Keyword(s):  
Brain Development ◽  
Pubertal Development ◽  
Sensitive Period ◽  
Future Research ◽  
Structural Development ◽  
Social Brain ◽  
Brain Functioning ◽  
The Social ◽  
Methodological Problems ◽  
Physical Changes

Puberty is characterized by substantial change in many areas of development, including hormonal, physical, neuronal, psychological and social. In this chapter, we outline how puberty, and its underlying hormonal and physical changes, might elicit a sensitive period for the development of the social brain. The literature to date suggests that pubertal development is relevant for the structural development of the social brain, partly in interaction with sex. Functionally, puberty might render the brain more sensitive to social information. However, methodological issues relating to sample size, study design and analysis, limit the possibility of drawing more specific conclusions. Apart from overcoming these methodological problems, future research should focus on individual differences in pubertal processes and their relevance to social brain development, as well as examining the mechanisms from pubertal processes through social brain functioning to social behavior.

scholarly journals Effects of Deafness and Sign Language Experience on the Human Brain: Voxel-based and Surface-based Morphometry

2020 ◽  
Author(s):  
Stephen McCullough ◽  
Karen Emmorey
Keyword(s):  
Human Brain ◽  
Sign Language ◽  
Surface Area ◽  
Cortical Thickness ◽  
Structural Changes ◽  
Brain Regions ◽  
Language Experience ◽  
Signed Language ◽  
Native Signers ◽  
Surface Based Morphometry

We investigated, using voxel-based morphometry (VBM), how deafness and sign language experience affect the anatomical structures of the human brain by comparing gray matter (GM) and white matter (WM) structures across congenitally deaf native signers, hearing native signers, and hearing sign-naïve controls (n = 90). We also compared the same groups on cortical thickness, surface area, and local gyrification using surface-based morphometry (SBM). Both VBM and SBM results revealed deafness-related changes in visual cortices and right frontal lobe. The GM in the auditory cortices did not appear to be affected by deafness; however, there was a significant WM reduction in left Heschl's gyrus for deaf signers only. The SBM comparisons revealed changes associated with lifelong signing experience: expansions in the surface area within left anterior temporal and left occipital lobes, and a reduction in cortical thickness in the right occipital lobe for deaf and hearing signers. Structural changes within these brain regions may be related to adaptations in the neural networks involved in processing signed language (i.e., visual perception of face and body movements). Hearing native signers also had unique neuroanatomical changes (e.g., reduced gyrification in premotor areas), perhaps due to lifelong experience with both a spoken and a signed language.

scholarly journals Longitudinal Changes in Cortical Thickness in Adolescents with Autism Spectrum Disorder and Their Association with Restricted and Repetitive Behaviors

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 2024
Author(s):  
Valentina Bieneck ◽  
Anke Bletsch ◽  
Caroline Mann ◽  
Tim Schäfer ◽  
Hanna Seelemeyer ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Individual Differences ◽  
Cortical Thickness ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Developmental Trajectory ◽  
Repetitive Behaviors ◽  
Spectrum Disorder ◽  
Childhood And Adolescence ◽  
Autism Symptoms

The neuroanatomy of autism spectrum disorder (ASD) shows highly heterogeneous developmental trajectories across individuals. Mapping atypical brain development onto clinical phenotypes, and establishing their molecular underpinnings, is therefore crucial for patient stratification and subtyping. In this longitudinal study we examined intra- and inter-individual differences in the developmental trajectory of cortical thickness (CT) in childhood and adolescence, and their genomic underpinnings, in 33 individuals with ASD and 37 typically developing controls (aged 11–18 years). Moreover, we aimed to link regional atypical CT development to intra-individual variations in restricted and repetitive behavior (RRB) over a two-year time period. Individuals with ASD showed significantly reduced cortical thinning in several of the brain regions functionally related to wider autism symptoms and traits (e.g., fronto-temporal and cingulate cortices). The spatial patterns of the neuroanatomical differences in CT were enriched for genes known to be associated with ASD at a genetic and transcriptomic level. Further, intra-individual differences in CT correlated with within-subject variability in the severity of RRBs. Our findings represent an important step towards characterizing the neuroanatomical underpinnings of ASD across development based upon measures of CT. Moreover, our findings provide important novel insights into the link between microscopic and macroscopic pathology in ASD, as well as their relationship with different clinical ASD phenotypes.

scholarly journals Study of brain morphology change in Alzheimer’s disease and amnestic mild cognitive impairment compared with normal controls

2019 ◽  
Vol 32 (2) ◽  
pp. e100005 ◽  
Author(s):  
Huanqing Yang ◽  
Hua Xu ◽  
Qingfeng Li ◽  
Yan Jin ◽  
Weixiong Jiang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Surface Area ◽  
Cortical Thickness ◽  
Right Hemisphere ◽  
Brain Regions ◽  
Left And Right ◽  
Normal Controls

BackgroundWith an aggravated social ageing level, the number of patients with Alzheimer’s disease (AD) is gradually increasing, and mild cognitive impairment (MCI) is considered to be an early form of Alzheimer’s disease. How to distinguish diseases in the early stage for the purposes of early diagnosis and treatment is an important topic.AimsThe purpose of our study was to investigate the differences in brain cortical thickness and surface area among elderly patients with AD, elderly patients with amnestic MCI (aMCI) and normal controls (NC).Methods20 AD patients, 21 aMCIs and 25 NC were recruited in the study. FreeSurfer software was used to calculate cortical thickness and surface area among groups.ResultsThe patients with AD had less cortical thickness both in the left and right hemisphere in 17 of the 36 brain regions examined than the patients with aMCI or NC. The patients with AD also had smaller cerebral surface area both in the left and right hemisphere in 3 of the 36 brain regions examined than the patients with aMCI or NC. Compared with the NC, the patients with aMCI only had slight atrophy in the inferior parietal lobe of the left hemisphere, and no significant difference was found.ConclusionAD, as well as aMCI (to a lesser extent), is associated with reduced cortical thickness and surface area in a few brain regions associated with cognitive impairment. These results suggest that cortical thickness and surface area could be used for early detection of AD.

scholarly journals A Comparison of Quantitative R1 and Cortical Thickness in Identifying Age, Lifespan Dynamics, and Disease States of the Human Cortex

2020 ◽  
Author(s):  
A Erramuzpe ◽  
R Schurr ◽  
J D Yeatman ◽  
I H Gotlib ◽  
M D Sacchet ◽  
...  
Keyword(s):  
Brain Development ◽  
Cortical Thickness ◽  
Prediction Models ◽  
Neurological Diseases ◽  
Brain Regions ◽  
Disease States ◽  
Original Dataset ◽  
Cortical Gray Matter ◽  
Development And Aging ◽  
Age Prediction

Abstract Brain development and aging are complex processes that unfold in multiple brain regions simultaneously. Recently, models of brain age prediction have aroused great interest, as these models can potentially help to understand neurological diseases and elucidate basic neurobiological mechanisms. We test whether quantitative magnetic resonance imaging can contribute to such age prediction models. Using R1, the longitudinal rate of relaxation, we explore lifespan dynamics in cortical gray matter. We compare R1 with cortical thickness, a well-established biomarker of brain development and aging. Using 160 healthy individuals (6–81 years old), we found that R1 and cortical thickness predicted age similarly, but the regions contributing to the prediction differed. Next, we characterized R1 development and aging dynamics. Compared with anterior regions, in posterior regions we found an earlier R1 peak but a steeper postpeak decline. We replicate these findings: firstly, we tested a subset (N = 10) of the original dataset for whom we had additional scans at a lower resolution; and second, we verified the results on an independent dataset (N = 34). Finally, we compared the age prediction models on a subset of 10 patients with multiple sclerosis. The patients are predicted older than their chronological age using R1 but not with cortical thickness.

scholarly journals Cortical Contributions to Distinct Symptom Dimensions of Catatonia

2019 ◽  
Vol 45 (6) ◽  
pp. 1184-1194 ◽  
Author(s):  
Dusan Hirjak ◽  
Katharina M Kubera ◽  
Georg Northoff ◽  
Stefan Fritze ◽  
Alina L Bertolino ◽  
...  
Keyword(s):  
Goal Orientation ◽  
Surface Area ◽  
Cortical Thickness ◽  
Rating Scale ◽  
Brain Regions ◽  
Schizophrenia Spectrum Disorders ◽  
Imaging Data ◽  
Symptom Dimensions ◽  
Schizophrenia Spectrum ◽  
And Behavior

Abstract Catatonia is a central aspect of schizophrenia spectrum disorders (SSD) and most likely associated with abnormalities in affective, motor, and sensorimotor brain regions. However, contributions of different cortical features to the pathophysiology of catatonia in SSD are poorly understood. Here, T1-weighted structural magnetic resonance imaging data at 3 T were obtained from 56 right-handed patients with SSD. Using FreeSurfer version 6.0, we calculated cortical thickness, area, and local gyrification index (LGI). Catatonic symptoms were examined on the Northoff catatonia rating scale (NCRS). Patients with catatonia (NCRS total score ≥3; n = 25) showed reduced surface area in the parietal and medial orbitofrontal gyrus and LGI in the temporal gyrus (P < .05, corrected for cluster-wise probability [CWP]) as well as hypergyrification in rostral cingulate and medial orbitofrontal gyrus when compared with patients without catatonia (n = 22; P < .05, corrected for CWP). Following a dimensional approach, a negative association between NCRS motor and behavior scores and cortical thickness in superior frontal, insular, and precentral cortex was found (34 patients with at least 1 motor and at least 1 other affective or behavioral symptom; P < .05, corrected for CWP). Positive associations were found between NCRS motor and behavior scores and surface area and LGI in superior frontal, posterior cingulate, precentral, and pericalcarine gyrus (P < .05, corrected for CWP). The data support the notion that cortical features of distinct evolutionary and genetic origin differently contribute to catatonia in SSD. Catatonia in SSD may be essentially driven by cortex variations in frontoparietal regions including regions implicated in the coordination and goal-orientation of behavior.

scholarly journals Puberty and social brain development

2021 ◽  
Author(s):  
Marjolein E. A. Barendse ◽  
Jennifer H. Pfeifer
Keyword(s):  
Brain Development ◽  
Pubertal Development ◽  
Sensitive Period ◽  
Future Research ◽  
Structural Development ◽  
Social Brain ◽  
Biological Sex ◽  
The Social ◽  
Methodological Problems ◽  
Physical Changes

Puberty is characterized by substantial change in many areas of development, including hormonal, physical, neuronal, psychological, and social domains. In this chapter, the authors outline how puberty, and its underlying hormonal and physical changes, might elicit a sensitive period for the development of the social brain. The literature to date suggests that pubertal development is relevant for the structural development of the social brain, and this is partly moderated by biological sex. Functionally, puberty might render the brain more sensitive to social information. However, methodological issues relating to sample size, study design, and analysis, limit the possibility of drawing more specific conclusions. Apart from overcoming these methodological problems, future research should focus on individual differences in pubertal processes and their relevance to social brain development, as well as examining the mechanisms via which pubertal processes impact social behavior through social brain functioning.

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