scholarly journals Structural covariance networks across the lifespan, from 6-94 years of age

2016 ◽  
Author(s):  
Elizabeth DuPre ◽  
R. Nathan Spreng
Keyword(s):  
Grey Matter ◽  
Age Groups ◽  
Brain Regions ◽  
Posterior Cingulate Cortex ◽  
Structural Covariance ◽  
Stable Pattern ◽  
Combining Data ◽  
Age Dependent ◽  
Definition Of ◽  
Access Data

AbstractStructural covariance examines covariation of grey matter morphology between brain regions and across individuals. Despite significant interest in the influence of age on structural covariance patterns, no study to date has provided a complete lifespan perspective—bridging childhood with early, middle, and late adulthood—on the development of structural covariance networks. Here, we investigate the lifespan trajectories of structural covariance in six canonical neurocognitive networks: default, dorsal attention, frontoparietal control, somatomotor, ventral attention, and visual. By combining data from five open access data sources, we examine the structural covariance trajectories of these networks from 6-94 years of age in a sample of 1580 participants. Using partial least squares, we show that structural covariance patterns across the lifespan exhibit two significant, age-dependent trends. The first trend is a stable pattern whose integrity declines over the lifespan. The second trend is an inverted-U that differentiates young adulthood from other age groups. Hub regions, including posterior cingulate cortex and anterior insula, appear particularly influential in the expression of this second age-dependent trend. Overall, our results suggest that structural covariance provides a reliable definition of neurocognitive networks across the lifespan and reveal both shared and network-specific trajectories.

scholarly journals Structural covariance networks across the life span, from 6 to 94 years of age

2017 ◽  
Vol 1 (3) ◽  
pp. 302-323 ◽  
Author(s):  
Elizabeth DuPre ◽  
R. Nathan Spreng
Keyword(s):  
Life Span ◽  
Age Groups ◽  
Brain Regions ◽  
Posterior Cingulate Cortex ◽  
Structural Covariance ◽  
Stable Pattern ◽  
Combining Data ◽  
Age Dependent ◽  
Definition Of ◽  
Access Data

Structural covariance examines covariation of gray matter morphology between brain regions and across individuals. Despite significant interest in the influence of age on structural covariance patterns, no study to date has provided a complete life span perspective—bridging childhood with early, middle, and late adulthood—on the development of structural covariance networks. Here, we investigate the life span trajectories of structural covariance in six canonical neurocognitive networks: default, dorsal attention, frontoparietal control, somatomotor, ventral attention, and visual. By combining data from five open-access data sources, we examine the structural covariance trajectories of these networks from 6 to 94 years of age in a sample of 1,580 participants. Using partial least squares, we show that structural covariance patterns across the life span exhibit two significant, age-dependent trends. The first trend is a stable pattern whose integrity declines over the life span. The second trend is an inverted-U that differentiates young adulthood from other age groups. Hub regions, including posterior cingulate cortex and anterior insula, appear particularly influential in the expression of this second age-dependent trend. Overall, our results suggest that structural covariance provides a reliable definition of neurocognitive networks across the life span and reveal both shared and network-specific trajectories.

scholarly journals Structural covariance and cortical reorganisation in schizophrenia: a MRI-based morphometric study

2018 ◽  
Vol 49 (3) ◽  
pp. 412-420 ◽  
Author(s):  
Lena Palaniyappan ◽  
Olha Hodgson ◽  
Vijender Balain ◽  
Sarina Iwabuchi ◽  
Penny Gowland ◽  
...  
Keyword(s):  
Grey Matter ◽  
Early Stage ◽  
Brain Regions ◽  
Significant Loss ◽  
Anterior Cingulate ◽  
Morphometric Study ◽  
Grey Matter Volume ◽  
Structural Covariance ◽  
Matter Volume ◽  
Functional Defect

AbstractBackgroundIn patients with schizophrenia, distributed abnormalities are observed in grey matter volume. A recent hypothesis posits that these distributed changes are indicative of a plastic reorganisation process occurring in response to a functional defect in neuronal information transmission. We investigated the structural covariance across various brain regions in early-stage schizophrenia to determine if indeed the observed patterns of volumetric loss conform to a coordinated pattern of structural reorganisation.MethodsStructural magnetic resonance imaging scans were obtained from 40 healthy adults and 41 age, gender and parental socioeconomic status matched patients with schizophrenia. Volumes of grey matter tissue were estimated at the regional level across 90 atlas-based parcellations. Group-level structural covariance was studied using a graph theoretical framework.ResultsPatients had distributed reduction in grey matter volume, with high degree of localised covariance (clustering) compared with controls. Patients with schizophrenia had reduced centrality of anterior cingulate and insula but increased centrality of the fusiform cortex, compared with controls. Simulating targeted removal of highly central nodes resulted in significant loss of the overall covariance patterns in patients compared with controls.ConclusionRegional volumetric deficits in schizophrenia are not a result of random, mutually independent processes. Our observations support the occurrence of a spatially interconnected reorganisation with the systematic de-escalation of conventional ‘hub’ regions. This raises the question of whether the morphological architecture in schizophrenia is primed for compensatory functions, albeit with a high risk of inefficiency.

scholarly journals Altered Topological Properties of Grey Matter Structural Covariance Networks in Complete Thoracic Spinal Cord Injury Patients: A Graph Theoretical Network Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wen-Li Wang ◽  
Yu-Lin Li ◽  
Mou-Xiong Zheng ◽  
Xu-Yun Hua ◽  
Jia-Jia Wu ◽  
...  
Keyword(s):  
Grey Matter ◽  
Brain Regions ◽  
Healthy Controls ◽  
Age And Gender ◽  
Structural Covariance ◽  
Clinical Variables ◽  
Cord Injury ◽  
Network Properties ◽  
And Gender ◽  
The Right

Purpose. This study is aimed at investigating brain structural changes and structural network properties in complete spinal cord injury (SCI) patients, as well as their relationship with clinical variables. Materials and Methods. Structural MRI of brain was acquired in 24 complete thoracic SCI patients ( 38.50 ± 11.19 years, 22 males) within the first postinjury year, while 26 age- and gender-matched healthy participants ( 38.38 ± 10.63 years, 24 males) were enrolled as control. The voxel-based morphometry (VBM) approach and graph theoretical network analysis based on cross-subject grey matter volume- (GMV-) based structural covariance networks (SCNs) were conducted to investigate the impact of SCI on brain structure. Partial correlation analysis was performed to explore the relationship between the GMV of structurally changed brain regions and SCI patients’ clinical variables, including injury duration, injury level, Visual Analog Scale (VAS), American Spinal Injury Association Impairment Scale (AIS), International Classification of Functioning, Disability and Health (ICF) scale, Self-rating Depression Scale (SDS), and Self-rating Anxiety Scale (SAS), after removing the effects of age and gender. Results. Compared with healthy controls, SCI patients showed higher SDS score ( t = 4.392 and p < 0.001 ). In the VBM analysis, significant GMV reduction was found in the left middle frontal cortex, right superior orbital frontal cortex (OFC), and left inferior OFC. No significant difference was found in global network properties between SCI patients and healthy controls. In the regional network properties, significantly higher betweenness centrality (BC) was noted in the right anterior cingulum cortex (ACC) and left inferior OFC and higher nodal degree and efficiency in bilateral middle OFCs, while decreased BC was noted in the right putamen in SCI patients. Only negative correlation was found between GMV of right middle OFC and SDS score in SCI patients ( r = − 0.503 and p = 0.017 ), while no significant correlation between other abnormal brain regions and any of the clinical variables (all p > 0.05 ). Conclusions. SCI patients would experience depressive and/or anxious feelings at the early stage. Their GMV reduction mainly involved psychology-cognition related rather than sensorimotor brain regions. The efficiency of regional information transmission in psychology-cognition regions increased. Greater GMV reduction in psychology region was related with more severe depressive feelings. Therefore, early neuropsychological intervention is suggested to prevent psychological and cognitive dysfunction as well as irreversible brain structure damage.

COVID - 19 AND THE PROBLEM OF PERSONALITY

2020 ◽  
pp. 31-35
Author(s):  
Mazaeva N.A. ◽  
Golovina A.G.
Keyword(s):  
General Population ◽  
Age Groups ◽  
Personal Transformation ◽  
Personality Changes ◽  
Age Dependent

In order to determine possible trends in the dynamics and characterological structure of personality in the General population caused by the COVID-19 pandemic, which is a long-term strong stressful effect and clinically and psychopathologically comparable to chronic personality changes after experiencing a disaster, the conditions predisposing to personal transformation, including clinical and prognostic patterns, are analyzed. The age-dependent nature of these changes is shown, and a number of features identified for different age groups are discussed.

scholarly journals Validity of the Gender Dysphoria diagnosis and incidence trends in Sweden: a nationwide register study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Malin Indremo ◽  
Richard White ◽  
Thomas Frisell ◽  
Sven Cnattingius ◽  
Alkistis Skalkidou ◽  
...  
Keyword(s):  
Gender Dysphoria ◽  
Age Groups ◽  
Medical Intervention ◽  
Future Research ◽  
Advantages And Disadvantages ◽  
Incidence Trends ◽  
Interaction Terms ◽  
Definition Of ◽  
The Individual ◽  
Nationwide Register Study

AbstractThe aim of this study was to examine the validity of the Gender Dysphoria (GD) diagnoses in the Swedish National Patient Register (NPR), to discuss different register-based definitions of GD and to investigate incidence trends. We collected data on all individuals with registered GD diagnoses between 2001 and 2016 as well as data on the coverage in the NPR. We regarded gender confirming medical intervention (GCMI) as one proxy for a clinically valid diagnosis and calculated the positive predictive value (PPV) for receiving GCMI for increasing number of registered GD diagnoses. We assessed crude and coverage-adjusted time trends of GD during 2004–2015 with a Poisson regression, using assigned sex and age as interaction terms. The PPV for receiving GCMI was 68% for ≥ 1 and 79% for ≥ 4 GD-diagnoses. The incidence of GD was on average 35% higher with the definition of ≥ 1 compared to the definition of ≥ 4 diagnoses. The incidence of GD, defined as ≥ 4 diagnoses increased significantly during the study period and mostly in the age categories 10–17 and 18–30 years, even after adjusting for register coverage. We concluded that the validity of a single ICD code denoting clinical GD in the Swedish NPR can be questioned. For future research, we propose to carefully weight the advantages and disadvantages of different register-based definitions according to the individual study’s needs, the time periods involved and the age-groups under study.

Clinical and anatomical heterogeneity in autistic spectrum disorder: a structural MRI study

2009 ◽  
Vol 40 (7) ◽  
pp. 1171-1181 ◽  
Author(s):  
F. Toal ◽  
E. M. Daly ◽  
L. Page ◽  
Q. Deeley ◽  
B. Hallahan ◽  
...  
Keyword(s):  
Asperger Syndrome ◽  
Autistic Spectrum Disorder ◽  
Grey Matter ◽  
Clinical Phenotype ◽  
Brain Regions ◽  
Spectrum Disorder ◽  
Grey Matter Volume ◽  
Brain Anatomy ◽  
Autistic Spectrum ◽  
Adults With Asd

BackgroundAutistic spectrum disorder (ASD) is characterized by stereotyped/obsessional behaviours and social and communicative deficits. However, there is significant variability in the clinical phenotype; for example, people with autism exhibit language delay whereas those with Asperger syndrome do not. It remains unclear whether localized differences in brain anatomy are associated with variation in the clinical phenotype.MethodWe used voxel-based morphometry (VBM) to investigate brain anatomy in adults with ASD. We included 65 adults diagnosed with ASD (39 with Asperger syndrome and 26 with autism) and 33 controls who did not differ significantly in age or gender.ResultsVBM revealed that subjects with ASD had a significant reduction in grey-matter volume of medial temporal, fusiform and cerebellar regions, and in white matter of the brainstem and cerebellar regions. Furthermore, within the subjects with ASD, brain anatomy varied with clinical phenotype. Those with autism demonstrated an increase in grey matter in frontal and temporal lobe regions that was not present in those with Asperger syndrome.ConclusionsAdults with ASD have significant differences from controls in the anatomy of brain regions implicated in behaviours characterizing the disorder, and this differs according to clinical subtype.

scholarly journals Review of Studies on Older Drivers’ Behavior and Stress—Methods, Results, and Outlook

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3503
Author(s):  
Yanning Zhao ◽  
Toshiyuki Yamamoto
Keyword(s):  
Age Groups ◽  
Older Drivers ◽  
Driving Simulators ◽  
Driving Experience ◽  
Older Driver ◽  
Vehicle Data ◽  
Vehicle Systems ◽  
Questionnaire Surveys ◽  
Definition Of ◽  
Short Time

This paper presents a review on relevant studies and reports related to older drivers’ behavior and stress. Questionnaires, simulators, and on-road/in-vehicle systems are used to collect driving data in most studies. In addition, research either directly compares older drivers and the other drivers or considers participants according to various age groups. Nevertheless, the definition of ‘older driver’ varies not only across studies but also across different government reports. Although questionnaire surveys are widely used to affordably obtain massive data in a short time, they lack objectivity. In contrast, biomedical information can increase the reliability of a driving stress assessment when collected in environments such as driving simulators and on-road experiments. Various studies determined that driving behavior and stress remain stable regardless of age, whereas others reported degradation of driving abilities and increased driving stress among older drivers. Instead of age, many researchers recommended considering other influencing factors, such as gender, living area, and driving experience. To mitigate bias in findings, this literature review suggests a hybrid method by applying surveys and collecting on-road/in-vehicle data.

Food intake, physical activity and quality of life among children and youth

Work ◽  
2021 ◽  
pp. 1-10
Author(s):  
Emília Martins ◽  
Rosina Fernandes ◽  
Francisco Mendes ◽  
Cátia Magalhães ◽  
Patrícia Araújo
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Healthy Lifestyle ◽  
Eating Habits ◽  
Age Groups ◽  
Related Quality ◽  
Health Related ◽  
Life Habits ◽  
Definition Of

BACKGROUND: The health-related quality of life construct (QoL) implies a relationship with eating habits (EA) and physical activity (PA). Sociodemographic and anthropometric variables (gender, age and Body Mass Index - BMI) are highlighted in the definition of healthy lifestyle habits promotion strategies. OBJECTIVE: We aim to characterize and relate PA, EA and QoL in children/youth and explore gender, age and BMI influences. METHODS: It is a non-experimental study, with 337 children/youth, ages between 8 and 17 years (12.61±2.96), mostly from the rural inland of Portugal. In data collection we used a sociodemographic and anthropometric questionnaire, a weekly register table of EA and Kid-Kindl (QoL). Statistical analysis (p <  0.05) were performed in SPSS-IBM 25. RESULTS: Lower BMI was associated with better EA (p <  0.001), PA (p <  0.05) and self-esteem (p <  0.01) and worse scores on family subscale of QoL. Female showed higher fruit intake (p <  0.05). The older has shown better results. PA is positively correlated with QoL (p <  0.01) and EA (p <  0.05). CONCLUSIONS: It is important to explore other relevant social and family dimensions, to promote intervention programs with parents, school and community, as well as healthy practices policies. The intervention in these age groups is critical for a longer-term impact in improving healthy life habits.

scholarly journals 1465. Age-Dependent Interactions Among Clinical Characteristics, Viral Loads and Disease Severity in Young Children with Respiratory Syncytial Virus Infection (RSV) Infection

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S734-S735
Author(s):  
Helena Brenes-Chacon ◽  
Cristina Garcia-Maurino ◽  
Melissa Moore-Clingenpeel ◽  
Sara Mertz ◽  
Fang Ye ◽  
...  
Keyword(s):  
Young Children ◽  
Disease Severity ◽  
Age Groups ◽  
Panel Member ◽  
Signs And Symptoms ◽  
Research Support ◽  
Review Panel ◽  
Viral Loads ◽  
Age Dependent ◽  
Rsv Infection

Abstract Background Differences in clinical presentation and viral loads according to age in young children with RSV, and their correlation with disease severity are poorly defined. The aim of this study was to define age-dependent the differences in demographic, clinical factors and viral loads between children &lt; 2 years of age with mild RSV infection evaluated as outpatients versus those hospitalized with severe RSV infection. Figure 1. Sign and Symptoms according to disease severity and age in infants with RSV infection. Most relevant signs and symptoms were stratified in outpatients (orange) vs inpatients (blue) by age in (A) &lt; 3 months, (B) between 3 and 6 months, and (C) &gt; 6 to 24 months of age. The Y axis represents the signs and symptoms in the two disease severity groups and the X axis the frequency of that specific symptom (%). Numbers next to bars represent the exact number of patients with that specific sign/symptom. Comparisons by Fisher exact test. Symbol (*) indicate significant 2-sided p values Figure 2. Viral load differences according to age in infants with RSV infection. The Y axis represents RSV loads in log10 copies/mL and the X axis differences in viral loads in outpatients (orange) and inpatients (blue) in the three age groups. Comparisons by Mann Whitney test. Methods Previously healthy children &lt; 2 years old with mild (outpatients) and severe (inpatients) RSV infection were enrolled and nasopharyngeal swabs were obtained for RSV typing and quantitation by real-time PCR. Patients were stratified by age (0-&lt; 3, 3-6, and &gt;6-24 months) and multivariable analyses were performed to identify clinical and viral factors associated with severe disease. Results From 2014-2018 we enrolled 534 children with RSV infection: 130 outpatients and 404 inpatients. Median duration of illness was 4 days for both groups, yet viral loads were higher in outpatients than inpatient in the three age groups (Fig 1). Wheezing was more frequent in outpatients of older age (&gt;3 months) than in inpatients (p&lt; 0.01), while fever was more common in inpatients that outpatients (p&lt; 0.01) and increased with age (Fig 2). Adjusted analyses confirmed that increased work of breathing and fever were consistently associated with hospitalization irrespective of age, while wheezing in infants &gt;3 months, and higher RSV loads in children &gt;6-24 months were independently associated with reduced disease severity. Conclusion Age had a significant impact defining the interactions among viral loads, specific clinical manifestations and disease severity in children with RSV infection. These observations highlight the importance of patient stratification when evaluating interventions against RSV. Disclosures Octavio Ramilo, MD, Bill & Melinda Gates Foundation (Grant/Research Support)Janssen (Grant/Research Support, Advisor or Review Panel member)Medimmune (Grant/Research Support)Merck (Advisor or Review Panel member)NIH/NIAID (Grant/Research Support)Pfizer (Consultant, Advisor or Review Panel member)Sanofi/Medimmune (Consultant, Advisor or Review Panel member) Asuncion Mejias, MD, PhD, MsCS, Janssen (Grant/Research Support, Advisor or Review Panel member)Merck (Advisor or Review Panel member)Roche (Advisor or Review Panel member)

scholarly journals Sex differences in neural correlates of common psychopathological symptoms in early adolescence

2021 ◽  
pp. 1-11
Author(s):  
Francesca Biondo ◽  
Charlotte Nymberg Thunell ◽  
Bing Xu ◽  
Congying Chu ◽  
Tianye Jia ◽  
...  
Keyword(s):  
Internalizing Symptoms ◽  
Grey Matter ◽  
Neural Correlates ◽  
Brain Regions ◽  
Female Adolescents ◽  
Grey Matter Volume ◽  
Community Based ◽  
Psychopathological Symptom ◽  
Strengths And Difficulties ◽  
The Brain

Abstract Background Sex-related differences in psychopathology are known phenomena, with externalizing and internalizing symptoms typically more common in boys and girls, respectively. However, the neural correlates of these sex-by-psychopathology interactions are underinvestigated, particularly in adolescence. Methods Participants were 14 years of age and part of the IMAGEN study, a large (N = 1526) community-based sample. To test for sex-by-psychopathology interactions in structural grey matter volume (GMV), we used whole-brain, voxel-wise neuroimaging analyses based on robust non-parametric methods. Psychopathological symptom data were derived from the Strengths and Difficulties Questionnaire (SDQ). Results We found a sex-by-hyperactivity/inattention interaction in four brain clusters: right temporoparietal-opercular region (p < 0.01, Cohen's d = −0.24), bilateral anterior and mid-cingulum (p < 0.05, Cohen's d = −0.18), right cerebellum and fusiform (p < 0.05, Cohen's d = −0.20) and left frontal superior and middle gyri (p < 0.05, Cohen's d = −0.26). Higher symptoms of hyperactivity/inattention were associated with lower GMV in all four brain clusters in boys, and with higher GMV in the temporoparietal-opercular and cerebellar-fusiform clusters in girls. Conclusions Using a large, sex-balanced and community-based sample, our study lends support to the idea that externalizing symptoms of hyperactivity/inattention may be associated with different neural structures in male and female adolescents. The brain regions we report have been associated with a myriad of important cognitive functions, in particular, attention, cognitive and motor control, and timing, that are potentially relevant to understand the behavioural manifestations of hyperactive and inattentive symptoms. This study highlights the importance of considering sex in our efforts to uncover mechanisms underlying psychopathology during adolescence.

Sign in / Sign up

Export Citation Format

Share Document