scholarly journals Establishing a link between sex-related differences in the structural connectome and behaviour

2016 ◽  
Vol 371 (1688) ◽  
pp. 20150111 ◽  
Author(s):  
Birkan Tunç ◽  
Berkan Solmaz ◽  
Drew Parker ◽  
Theodore D. Satterthwaite ◽  
Mark A. Elliott ◽  
...  
Keyword(s):  
Sex Differences ◽  
Brain Structure ◽  
Research Effort ◽  
Structural Connectivity ◽  
Human Mind ◽  
Brain Network ◽  
Attention And Memory ◽  
Behavioural Patterns ◽  
Males And Females ◽  
The Brain

Recent years have witnessed an increased attention to studies of sex differences, partly because such differences offer important considerations for personalized medicine. While the presence of sex differences in human behaviour is well documented, our knowledge of their anatomical foundations in the brain is still relatively limited. As a natural gateway to fathom the human mind and behaviour, studies concentrating on the human brain network constitute an important segment of the research effort to investigate sex differences. Using a large sample of healthy young individuals, each assessed with diffusion MRI and a computerized neurocognitive battery, we conducted a comprehensive set of experiments examining sex-related differences in the meso-scale structures of the human connectome and elucidated how these differences may relate to sex differences at the level of behaviour. Our results suggest that behavioural sex differences, which indicate complementarity of males and females, are accompanied by related differences in brain structure across development. When using subnetworks that are defined over functional and behavioural domains, we observed increased structural connectivity related to the motor, sensory and executive function subnetworks in males. In females, subnetworks associated with social motivation, attention and memory tasks had higher connectivity. Males showed higher modularity compared to females, with females having higher inter-modular connectivity. Applying multivariate analysis, we showed an increasing separation between males and females in the course of development, not only in behavioural patterns but also in brain structure. We also showed that these behavioural and structural patterns correlate with each other, establishing a reliable link between brain and behaviour.

scholarly journals Sex differences in neural and behavioral signatures of cooperation revealed by fNIRS hyperscanning

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Joseph M. Baker ◽  
Ning Liu ◽  
Xu Cui ◽  
Pascal Vrticka ◽  
Manish Saggar ◽  
...  
Keyword(s):  
Sex Differences ◽  
Temporal Cortex ◽  
Neural Correlates ◽  
Behavioral Signatures ◽  
Computer Based ◽  
Males And Females ◽  
Brain And Behavior ◽  
The Right ◽  
And Behavior ◽  
The Brain

Abstract Researchers from multiple fields have sought to understand how sex moderates human social behavior. While over 50 years of research has revealed differences in cooperation behavior of males and females, the underlying neural correlates of these sex differences have not been explained. A missing and fundamental element of this puzzle is an understanding of how the sex composition of an interacting dyad influences the brain and behavior during cooperation. Using fNIRS-based hyperscanning in 111 same- and mixed-sex dyads, we identified significant behavioral and neural sex-related differences in association with a computer-based cooperation task. Dyads containing at least one male demonstrated significantly higher behavioral performance than female/female dyads. Individual males and females showed significant activation in the right frontopolar and right inferior prefrontal cortices, although this activation was greater in females compared to males. Female/female dyad’s exhibited significant inter-brain coherence within the right temporal cortex, while significant coherence in male/male dyads occurred in the right inferior prefrontal cortex. Significant coherence was not observed in mixed-sex dyads. Finally, for same-sex dyads only, task-related inter-brain coherence was positively correlated with cooperation task performance. Our results highlight multiple important and previously undetected influences of sex on concurrent neural and behavioral signatures of cooperation.

scholarly journals Multifaceted origins of sex differences in the brain

2016 ◽  
Vol 371 (1688) ◽  
pp. 20150106 ◽  
Author(s):  
Margaret M. McCarthy
Keyword(s):  
Sex Differences ◽  
State Of The Art ◽  
Human Subjects ◽  
Special Issue ◽  
Molecular Analyses ◽  
The Past ◽  
Current State ◽  
Biological Variable ◽  
Males And Females ◽  
The Brain

Studies of sex differences in the brain range from reductionistic cell and molecular analyses in animal models to functional imaging in awake human subjects, with many other levels in between. Interpretations and conclusions about the importance of particular differences often vary with differing levels of analyses and can lead to discord and dissent. In the past two decades, the range of neurobiological, psychological and psychiatric endpoints found to differ between males and females has expanded beyond reproduction into every aspect of the healthy and diseased brain, and thereby demands our attention. A greater understanding of all aspects of neural functioning will only be achieved by incorporating sex as a biological variable. The goal of this review is to highlight the current state of the art of the discipline of sex differences research with an emphasis on the brain and to contextualize the articles appearing in the accompanying special issue.

scholarly journals Sex in the brain: hormones and sex differences

2016 ◽  
Vol 18 (4) ◽  
pp. 373-383 ◽  
Keyword(s):  
Sex Differences ◽  
Sex Hormones ◽  
Genetic Factors ◽  
Motor Coordination ◽  
Brain Regions ◽  
New Era ◽  
Brain Functions ◽  
Opioid Sensitivity ◽  
Males And Females ◽  
The Brain

Contrary to popular belief, sex hormones act throughout the entire brain of both males and females via both genomic and nongenomic receptors. Many neural and behavioral functions are affected by estrogens, including mood, cognitive function, blood pressure regulation, motor coordination, pain, and opioid sensitivity. Subtle sex differences exist for many of these functions that are developmentally programmed by hormones and by not yet precisely defined genetic factors, including the mitochondrial genome. These sex differences, and responses to sex hormones in brain regions and upon functions not previously regarded as subject to such differences, indicate that we are entering a new era in our ability to understand and appreciate the diversity of gender-related behaviors and brain functions.

scholarly journals Species variation in the degree of sex differences in brain and behaviour related to birdsong: adaptations and constraints

2016 ◽  
Vol 371 (1688) ◽  
pp. 20150117 ◽  
Author(s):  
Gregory F. Ball
Keyword(s):  
Sex Differences ◽  
Neural Circuit ◽  
Species Variation ◽  
Song System ◽  
System A ◽  
Song Control System ◽  
Males And Females ◽  
Song Control ◽  
Area X ◽  
The Brain

The song-control system, a neural circuit that controls the learning and production of birdsong, provided the first example in vertebrates of prominent macro-morphological sex differences in the brain. Forebrain nuclei HVC, robust nucleus of the arcopallium (RA) and area X all exhibit prominent male-biased sex differences in volume in zebra finches and canaries. Subsequent studies compared species that exhibited different degrees of a sex difference in song behaviour and revealed an overall positive correlation between male biases in song behaviour and male biases in the volume of the song nuclei. However, several exceptions have been described in which male biases in HVC and RA are observed even though song behaviour is equal or even female-biased. Other phenotypic measures exhibit lability in both sexes. In the duetting plain-tailed wren ( Pheugopedius euophrys ), males and females have auditory cells in the song system that are tuned to the joint song the two sexes produce rather than just male or female components. These findings suggest that there may be constraints on the adaptive response of the song system to ecological conditions as assessed by nucleus volume but that other critical variables regulating song can respond so that each sex can modify its song behaviour as needed.

scholarly journals Intra- and Inter-Modular Connectivity Alterations in the Brain Structural Network of Spinocerebellar Ataxia Type 3

Entropy ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 317 ◽  
Author(s):  
Chi-Wen Jao ◽  
Bing-Wen Soong ◽  
Tzu-Yun Wang ◽  
Hsiu-Mei Wu ◽  
Chia-Feng Lu ◽  
...  
Keyword(s):  
Spinocerebellar Ataxia ◽  
Brain Networks ◽  
Structural Connectivity ◽  
Three Dimensional ◽  
Brain Network ◽  
Spinocerebellar Ataxia Type ◽  
Compensatory Mechanisms ◽  
Spinocerebellar Ataxia Type 3 ◽  
Type 3 ◽  
The Brain

In addition to cerebellar degeneration symptoms, patients with spinocerebellar ataxia type 3 (SCA3) exhibit extensive involvements with damage in the prefrontal cortex. A network model has been proposed for investigating the structural organization and functional mechanisms of clinical brain disorders. For neural degenerative diseases, a cortical feature-based structural connectivity network can locate cortical atrophied regions and indicate how their connectivity and functions may change. The brain network of SCA3 has been minimally explored. In this study, we investigated this network by enrolling 48 patients with SCA3 and 48 healthy subjects. A novel three-dimensional fractal dimension-based network was proposed to detect differences in network parameters between the groups. Copula correlations and modular analysis were then employed to categorize and construct the structural networks. Patients with SCA3 exhibited significant lateralized atrophy in the left supratentorial regions and significantly lower modularity values. Their cerebellar regions were dissociated from higher-level brain networks, and demonstrated decreased intra-modular connectivity in all lobes, but increased inter-modular connectivity in the frontal and parietal lobes. Our results suggest that the brain networks of patients with SCA3 may be reorganized in these regions, with the introduction of certain compensatory mechanisms in the cerebral cortex to minimize their cognitive impairment syndrome.

scholarly journals Beyond sex differences: new approaches for thinking about variation in brain structure and function

2016 ◽  
Vol 371 (1688) ◽  
pp. 20150451 ◽  
Author(s):  
Daphna Joel ◽  
Anne Fausto-Sterling
Keyword(s):  
Sex Differences ◽  
Brain Structure ◽  
Well Being ◽  
Structure And Function ◽  
Laboratory Animals ◽  
Sex And Gender ◽  
Sex Effects ◽  
Brain Structure And Function ◽  
And Function ◽  
The Brain

In the study of variation in brain structure and function that might relate to sex and gender, language matters because it frames our research questions and methods. In this article, we offer an approach to thinking about variation in brain structure and function that pulls us outside the sex differences formulation. We argue that the existence of differences between the brains of males and females does not unravel the relations between sex and the brain nor is it sufficient to characterize a population of brains. Such characterization is necessary for studying sex effects on the brain as well as for studying brain structure and function in general. Animal studies show that sex interacts with environmental, developmental and genetic factors to affect the brain. Studies of humans further suggest that human brains are better described as belonging to a single heterogeneous population rather than two distinct populations. We discuss the implications of these observations for studies of brain and behaviour in humans and in laboratory animals. We believe that studying sex effects in context and developing or adopting analytical methods that take into account the heterogeneity of the brain are crucial for the advancement of human health and well-being.

scholarly journals Beyond “Sex Prediction”: Estimating and Interpreting Multivariate Sex Differences and Similarities in the Brain

2021 ◽  
Author(s):  
Carla Sanchis-Segura ◽  
Naiara Aguirre ◽  
Álvaro Javier Cruz-Gómez ◽  
Sonia Félix ◽  
Cristina Forn
Keyword(s):  
Sex Differences ◽  
Gray Matter Volume ◽  
Group Differences ◽  
Intracranial Volume ◽  
Brain Areas ◽  
High Classification Accuracy ◽  
Detailed Assessment ◽  
Functional Features ◽  
Males And Females ◽  
The Brain

Abstract Previous studies have shown that machine-learning (ML) algorithms can “predict” sex based on brain anatomical/ functional features. The high classification accuracy achieved by ML algorithms is often interpreted as revealing large differences between the brains of males and females and as confirming the existence of “male/female brains”. However, classification and estimation are quite different concepts, and using classification metrics as surrogate estimates of between-group differences results in major statistical and interpretative distortions. The present study illustrates these distortions and provides a novel and detailed assessment of multivariate sex differences in gray matter volume (GMVOL) that does not rely on classification metrics. Moreover, modeling and clustering techniques and analyses of similarities (ANOSIM) were used to identify the brain areas that contribute the most to these multivariate differences, and to empirically assess whether they assemble into two sex-typical profiles. Results revealed that multivariate sex differences in GMVOL: 1) are “large” if not adjusted for total intracranial volume (TIV) variation, but “small” when controlling for this variable; 2) differ in size between individuals and also depends on the ML algorithm used for their calculation 3) do not stem from two sex-typical profiles, and so describing them in terms of “male/female brains” is misleading.

scholarly journals Using Diffusion Tensor Imaging to examine brain structural plasticity and language experience

2019 ◽  
Author(s):  
Gigi Luk ◽  
Christos Pliatsikas
Keyword(s):  
Language Processing ◽  
Brain Structure ◽  
Language Use ◽  
Diffusion Tensor ◽  
Brain Plasticity ◽  
Structural Connectivity ◽  
Brain Regions ◽  
Language Experience ◽  
Brain Correlates ◽  
The Brain

Recent advances in neuroimaging methods have led to a renewed interest in the brain correlates of language processing. Most intriguing is how experiences of language use relates to variation in brain structure and how brain structure predicts language acquisition. These two lines of inquiry have important implications on considering language use as an experience-dependent mechanism that induces brain plasticity. This paper focuses on the structural connectivity of the brain, as delivered by white matter, i.e. the collections of the axons of the brain neurons that provide connectivity between brain regions. Tract-Based Spatial Statistics (TBSS), a method commonly used in the field, will be presented in detail. Readers will be introduced to procedures for the extraction of indices of variation in WM structure such as fractional anisotropy. Furthermore, the role of individual differences in WM and changes in WM pertaining to bilingual experience and language processing will be used as examples to illustrate the applicability of this method.

scholarly journals On the brain networks organization of individuals with high versus average fluid intelligence: a combined DTI and MEG study

2021 ◽  
Author(s):  
Silvia EP Bruzzone ◽  
Massimo Lumaca ◽  
Elvira Brattico ◽  
Peter Vuust ◽  
Morten L Kringelbach ◽  
...  
Keyword(s):  
Degree Distribution ◽  
Fluid Intelligence ◽  
Diffusion Tensor ◽  
Functional Integration ◽  
Structural Connectivity ◽  
Brain Network ◽  
Opposite Pattern ◽  
Structural Brain Network ◽  
Fast Oscillations ◽  
The Brain

The neural underpinning of human fluid intelligence (Gf) has gathered a large interest in the scientific community. Nonetheless, previous research did not provide a full understanding of such intriguing topic. Here, we studied the structural (from diffusion tensor imaging, DTI) and functional (from magnetoencephalography (MEG) resting state) connectivity in individuals with high versus average Gf scores. Our findings showed greater values in the brain areas degree distribution and higher proportion of long-range anatomical connections for high versus average Gfs. Further, the two groups presented different community structures, highlighting the structural and functional integration of the cingulate within frontal subnetworks of the brain in high Gfs. These results were consistently observed for structural connectivity and functional connectivity of delta, theta and alpha. Notably, gamma presented an opposite pattern, showing more segregation and lower degree distribution and connectivity in high versus average Gfs. Our study confirmed and expanded previous perspectives and knowledge on the small-worldness of the brain. Further, it complemented the widely investigated structural brain network of highly intelligent individuals with analyses on fast-scale functional networks in five frequency bands, highlighting key differences in the integration and segregation of information flow between slow and fast oscillations in groups with different Gf.

Sex Differences in Cognition: The New Rise of Biologism

1993 ◽  
Vol 10 (1) ◽  
pp. 2-5
Author(s):  
Lesley J. Rogers
Keyword(s):  
Sex Differences ◽  
Brain Structure ◽  
Structure And Function ◽  
Representation Of Women ◽  
Brain Structure And Function ◽  
Environmental Stimulation ◽  
And Function ◽  
The Brain

AbstractCurrently there is an increase in the number of articles published in scientific journals and in the popular scientific media that claim a biological basis for sex differences in cognition and in certain structures in the brain. It can be argued that there is over-emphasis on the differences rather than similarities between the sexes, but it is even more important to question the assumed causation of the differences. This paper discusses recent evidence for an interactive role of early experience and hormonal condition in determining sex differences in brain structure and function. Although early studies using rats were thought to show that the male sex hormone, testosterone, acts on the brain in early life to direct its differentiation into either the male or female form, it is know known that this result comes about indirectly by changing the mother’s behaviour towards the pups. The hormone does not act on the brain directly but rather it alters the environment in which the young animals are rasied and this, in turn, influences the development of the brain. Indeed, the brain is in dynamic register with its environment both during development and in adulthood. Other examples also show that old ideas of rigid biological determination of brain structure and function need to be laid aside.The hypotheses for hormonal causation of sex differences humans rely heavily, if not exclusively, on the earlier interpretation of the experiments with rats, and there seems to be resistance to changing these notions based on the new discoveries. Apparently, there is strong pressure to cling on to biological determinist theories for sex differences in behaviour, and this has profound effects on social and educational policy. For example, biological determinism has been used to justify under representation of women in certain professions. Realisation of the dramatic effects that environmental stimulation and learning can have on the development of brain and behaviour leads us to an optimistic position for social change towards equality for women.

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