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Open AccessJournal ArticleDOI

Clinical characteristics, pathophysiology, and management of noncentral nervous system cancer-related cognitive impairment in adults.

TLDR
A recent review as mentioned in this paper synthesizes the current literature with a deliberate focus on CRCI within the context of breast cancer, and a hypothetical case-study approach is used to illustrate how CRCI often presents clinically and how current science can inform practice.
Abstract
Answer questions and earn CME/CNE Over the past few decades, a body of research has emerged confirming what many adult patients with noncentral nervous system cancer have long reported-that cancer and its treatment are frequently associated with cancer-related cognitive impairment (CRCI). The severity of CRCI varies, and symptoms can emerge early or late in the disease course. Nonetheless, CRCI is typically mild to moderate in nature and primarily involves the domains of memory, attention, executive functioning, and processing speed. Animal models and novel neuroimaging techniques have begun to unravel the pathophysiologic mechanisms underlying CRCI, including the role of inflammatory cascades, direct neurotoxic effects, damage to progenitor cells, white matter abnormalities, and reduced functional connectivity, among others. Given the paucity of research on CRCI with other cancer populations, this review synthesizes the current literature with a deliberate focus on CRCI within the context of breast cancer. A hypothetical case-study approach is used to illustrate how CRCI often presents clinically and how current science can inform practice. While the literature regarding intervention for CRCI is nascent, behavioral and pharmacologic approaches are discussed.

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American Cancer Society Colorectal Cancer Survivorship Care Guidelines

TL;DR: In this paper, the authors present guidelines to assist primary care clinicians in delivering risk-based health care for colorectal cancer survivors who have completed active therapy, including communication and coordination of care between the treating oncologist and the primary care clinician to effectively manage the long-term care of CRC survivors.
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Quality of life, problems, and needs of disease-free breast cancer survivors 5 years after diagnosis.

TL;DR: There appears to be a need for ongoing screening and support regarding fatigue, sleep problems, cognitive problems, arthralgia/pain, menopausal/sexual symptoms, physical performance, and weight problems during and several years following breast cancer therapy.
References
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Journal ArticleDOI

Cancer treatment and survivorship statistics, 2014

TL;DR: The number of cancer survivors continues to increase due to the aging and growth of the population and improvements in early detection and treatment, and current treatment patterns for the most common cancer types are described based on information in the National Cancer Data Base and the SEER and SEER‐Medicare linked databases.
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Executive functions and self-regulation

TL;DR: It is argued that temporary reductions in executive functions underlie many of the situational risk factors identified in the social psychological research on self-regulation and review recent evidence that the training of executive functions holds significant potential for improving poor self- regulation in problem populations.
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Video game training enhances cognitive control in older adults

TL;DR: It is shown that multitasking performance, as assessed with a custom-designed three-dimensional video game (NeuroRacer), exhibits a linear age-related decline from 20 to 79 years of age, and is the first evidence, to the authors' knowledge, of how a CustomRacer can be used to assess cognitive abilities across the lifespan, evaluate underlying neural mechanisms, and serve as a powerful tool for cognitive enhancement.
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The human connectome: a complex network

TL;DR: Current empirical efforts toward generating a network map of the human brain, the human connectome, are reviewed, and how the connectome can provide new insights into the organization of the brain's structural connections and their role in shaping functional dynamics are explored.
Journal ArticleDOI

Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review

TL;DR: Support-Vector-Machine has been successfully applied in the context of disease diagnosis, transition prediction and treatment prognosis, using both structural and functional neuroimaging data, and those studies that applied it to the investigation of Alzheimer's disease, schizophrenia, major depression, bipolar disorder, presymptomatic Huntington's disease and autistic spectrum disorder are reviewed.
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