While prenatal sex hormones guide the development of sex-typical reproductive structures, they also act on the developing brain, resulting in sex differences in brain and behavior in animal models. Stemming from this literature is the prominent hypothesis that prenatal neuroendocrine factors underlie sex differences in human sexual orientation, to explain why most males have a preference for female sexual partners (gynephilia), whereas most females display a preference for male sexual partners (androphilia). Convergent evidence from experiments of nature and indirect markers of prenatal hormones strongly support a role for prenatal androgens in same-same sexual orientations in women, although this finding is specific to a subset of lesbians who are also gender nonconforming (“butch”). More gender-conforming lesbians (“femmes”) do not show evidence of increased prenatal androgens. The literature has been more mixed for male sexual orientation: some report evidence of low prenatal androgen exposure, while others report evidence of high androgen levels and many other studies find no support for a role of prenatal androgen exposure in the development of androphilia in males. Recent evidence suggests there may be subgroups of gay men who owe their sexual orientation to distinct biodevelopmental mechanisms, which could account for these mixed findings. Although this research is young, it is similar to findings from lesbian populations, because gay men who are more gender nonconforming, and report a preference for receptive anal sex, differ on markers of prenatal development from gay men who are more gender conforming and report a preference for insertive anal sex. This chapter concludes with future research avenues including assessing whether multiple biodevelopmental pathways underlie sexual orientation and whether neuroendocrine factors and other biological mechanisms (e.g., immunology, genetics) interact to promote a same-sex sexual orientation.
Ashlyn Swift-Gallant and S. Marc Breedlove
Sabine Kastner and Timothy J. Buschman
Natural scenes are cluttered and contain many objects that cannot all be processed simultaneously. Due to this limited processing capacity, neural mechanisms are needed to selectively enhance the information that is most relevant to one’s current behavior and to filter unwanted information. We refer to these mechanisms as “selective attention.” Attention has been studied extensively at the behavioral level in a variety of paradigms, most notably, Treisman’s visual search and Posner’s paradigm. These paradigms have also provided the basis for studies directed at understanding the neural mechanisms underlying attentional selection, both in the form of neuroimaging studies in humans and intracranial electrophysiology in non-human primates. The selection of behaviorally relevant information is mediated by a large-scale network that includes regions in all major lobes as well as subcortical structures. Attending to a visual stimulus modulates processing across the visual processing hierarchy with stronger effects in higher-order areas. Current research is aimed at characterizing the functions of the different network nodes as well as the dynamics of their functional connectivity.
Karim Fouad, Abel Torres-Espín, and Keith K. Fenrich
Spinal cord injury results in a wide range of behavioral changes including impaired motor and sensory function, autonomic dysfunction, spasticity, and depression. Currently, restoring lost motor function is the most actively studied and sought-after goal of spinal cord injury research. This research is rooted in the fact that although self-repair following spinal cord injury in adult mammals is very limited, there can be some recovery of motor function. This recovery is strongly dependent on the lesion size and location as well as on neural activity of denervated networks activated mainly through physical activity (i.e., rehabilitative training). Recovery of motor function is largely due to neuroplasticity, which includes adaptive changes in spared and injured neural circuitry. Neuroplasticity after spinal cord injury is extensive and includes mechanisms such as moderate axonal sprouting, the formation of new synaptic connections, network remapping, and changes to neuron cell properties. Neuroplasticity after spinal cord injury has been described at various physiological and anatomical levels of the central nervous system including the brain, brainstem, and spinal cord, both above and below injury sites. The growing number of mechanisms underlying postinjury plasticity indicate the vast complexity of injury-induced plasticity. This poses important opportunities to further enhance and harness plasticity in order to promote recovery. However, the diversity of neuroplasticity also creates challenges for research, which is frequently based on mechanistically driven approaches. The appreciation of the complexity of neuronal plasticity and the findings that recovery is based on a multitude and interlinked adaptations will be essential in developing meaningful new treatment avenues.
Allison E. Gaffey and Brandy S. Martinez
There are two main branches of the human stress response. The autonomic nervous system acts rapidly and is often referred to as our fight or flight response. The slow-acting arm of the stress response refers to the hypothalamic-pituitary-adrenal (HPA) axis, which triggers a hormone cascade resulting in the release of various hormones including cortisol. Healthy functioning of the HPA axis is tightly regulated by negative feedback, the endogenous self-regulatory mechanism of the system that terminates cortisol production. Alterations in HPA axis functioning are characterized by both hypo- and hypersecretion of cortisol in response to psychological stress and are typically associated with negative physical health outcomes as well as clinical pathology. What remains poorly understood is how HPA activity changes with age and the pathways through which these changes occur. In addition to changes associated with the normative aging process, age-related changes in cortisol may also be driven by the cumulative effects of stress experienced across the life span (e.g., traumatic stress); stressors unique to later life (e.g., caring for an ailing loved one); or health problems. Although research examining how the HPA axis might change with age is inconsistent, there appears to be reasonable evidence to suggest that: (1) both stress-induced and diurnal cortisol output may increase with age, potentially beginning with changes in the cortisol awakening response, (2) variability in cortisol production increases with age, (3) diurnal (i.e., daily) cortisol rhythms are preserved in later life, and (4) age-related differences in cortisol may be more distinct in men than in women. However, it remains unknown whether these changes in older adults’ physiology reflect maladaptive functioning of the HPA axis or interact with other health concerns to negatively affect overall psychophysiological health. Further research is needed to disentangle the interplay between aging and HPA axis functioning to better understand what alterations are associated with the normative aging process, when they occur, and how they influence longevity.
Theresa M. Desrochers and Theresa H. McKim
Sequences permeate daily life. They can be defined as a discrete series of items or states that occur in a specific order with a beginning and end. The brain supports the perception and execution of sequences. Perceptual sequences involve tracking regularities in incoming stimuli, such as the series of sounds that make up a word in language. Executed sequences range from the series of muscle activations used by a frog to catch a fly to a chess master mapping her next moves. How the brain controls sequences must therefore scale to multiple levels of control. Investigating how the brain functions to accomplish this task spans from the study of individual cells in the brain to human cognition. Understanding the neural systems that underlie sequential control is necessary to approach the mechanistic underpinnings of complex conditions such as addiction, which may be rooted in difficult-to-extinguish sequential behaviors. Current research focuses on studies in both animal and human models and spans the levels of complexity of sequential control and the brain systems that support it.