The utility of deep brain stimulation surgery for treating eating disorders: A systematic review

Potes, Mark Immanuel; Joaquin, Christian; Wiecks, Nicole; Phan, Sheshanna; Hassan, Omron

doi:10.25259/sni_730_2020

Cited by 7 publications

(4 citation statements)

References 45 publications

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“…Notably, some studies have also revealed a positive impact of DBS on quality of life (Wu et al., 2013). In a recent systematic review of 11 studies that explored the effect of DBS in eating disorders (ED), it was found that 41.5% of the participants achieved normal BMI after follow‐up (Potes et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

Cognitive and quality‐of‐life related factors of body mass index (BMI) improvement after deep brain stimulation in the subcallosal cingulate and nucleus accumbens in treatment‐refractory chronic anorexia nervosa

Pérez

Villalba-Martínez

Elices

et al. 2022

Euro Eating Disorders Rev

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Background Up to 20% of the cases of anorexia nervosa (AN) are chronic and treatment‐resistant. Recently, the efficacy of deep brain stimulation (DBS) for severe cases of AN has been explored, with studies showing an improvement in body mass index and other psychiatric outcomes. While the effects of DBS on cognitive domains have been studied in patients with other neurological and psychiatric conditions so far, no evidence has been gathered in AN. Methods Eight patients with severe, chronic, treatment‐resistant AN received DBS either to the nucleus accumbens (NAcc) or subcallosal cingulate (SCC; four subjects on each target). A comprehensive battery of neuropsychological and clinical outcomes was used before and 6‐month after surgery. Findings Although Body Mass Index (BMI) did not normalise, statistically significant improvements in BMI, quality of life, and performance on cognitive flexibility were observed after 6 months of DBS. Changes in BMI were related to a decrease in depressive symptoms and an improvement in memory functioning. Interpretation These findings, although preliminary, support the use of DBS in AN, pointing to its safety, even for cognitive functioning; improvements of cognitive flexibility are reported. DBS seems to exert changes on cognition and mood that accompany BMI increments. Further studies are needed better to determine the impact of DBS on cognitive functions.

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Section: Introductionmentioning

confidence: 99%

Cognitive and quality‐of‐life related factors of body mass index (BMI) improvement after deep brain stimulation in the subcallosal cingulate and nucleus accumbens in treatment‐refractory chronic anorexia nervosa

Pérez

Villalba-Martínez

Elices

et al. 2022

Euro Eating Disorders Rev

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“…Implantable sensors can also be used for neural sensing (e.g., brain neural recording), intracranial neurostimulation (invasive deep brain stimulation, DBS), neuromodulation, and neurofeedback [25][26][27][28][29][30][31][32][33][34][35][36]. The neuroanatomical areas of major interest for the treatment of AN have been the brain's subcallosal cingulate cortex and the nucleus accumbens [36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

“…Most of these studies have focused on eating behavior and weight gain as indicators of successful outcomes [ 43 ], and much less on body image issues [e.g., 40] . First, it is important to recognize that weight gain is just one of many other important markers of a successful treatment outcome [ 33 ]. Second, it is also worth noting the caveats of implementing intracranial sensors (e.g., undergoing neurosurgery, using durable and flexible biocompatible materials, cytotoxicity) [ 34 ], and most importantly the ethical concerns that can generate these interventions [ 44 , 45 ].…”

Section: Introductionmentioning

confidence: 99%

Sensor Technology and Intelligent Systems in Anorexia Nervosa: Providing Smarter Healthcare Delivery Systems

Almenara

Cimino

Cerniglia

2022

BioMed Research International

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Ubiquitous technology, big data, more efficient electronic health records, and predictive analytics are now at the core of smart healthcare systems supported by artificial intelligence. In the present narrative review, we focus on sensing technologies for the healthcare of Anorexia Nervosa (AN). We employed a framework inspired by the Interpersonal Neurobiology Theory (IPNB), which posits that human experience is characterized by a flow of energy and information both within us (within our whole body), and between us (in the connections we have with others and with nature). In line with this framework, we focused on sensors designed to evaluate bodily processes (body sensors such as implantable sensors, epidermal sensors, and wearable and portable sensors), human social interaction (sociometric sensors), and the physical environment (indoor and outdoor ambient sensors). There is a myriad of man-made sensors as well as nature-based sensors such as plants that can be used to design and deploy intelligent systems for human monitoring and healthcare. In conclusion, sensing technologies and intelligent systems can be employed for smarter healthcare of AN and help to relieve the burden of health professionals. However, there are technical, ethical, and environmental sustainability issues that must be considered prior to implementing these systems. A joint collaboration of professionals and other members of the society involved in the healthcare of individuals with AN can help in the development of these systems. The evolution of cyberphysical systems should also be considered in these collaborations.

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Section: Introductionmentioning

confidence: 99%

Sensor technology and intelligent systems in Anorexia Nervosa: Providing smarter healthcare delivery systems

Almenara¹,

Cimino²,

Cerniglia³

2022

Preprint

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Ubiquitous technology, big data, more efficient electronic health records, and predictive analytics are now at the core of smart healthcare systems supported by artificial intelligence. In the present narrative review, we focus on sensing technologies for the healthcare of Anorexia Nervosa (AN). We employed a framework inspired by the Interpersonal Neurobiology Theory (IPNB), which posits that human experience is characterized by a flow of energy and information both within us (within our whole body), and between us (in the connections we have with others and with nature). In line with this framework, we focused on sensors designed to evaluate bodily processes (body sensors: implantable sensors, epidermal sensors, wearable and portable sensors), human social interaction (sociometric sensors), and the physical environment (indoor and outdoor ambient sensors). There is a myriad of man-made sensors as well as nature-based sensors such as plants that can be used to design and deploy intelligent systems for human monitoring and healthcare. In conclusion, sensing technologies and intelligent systems can be employed for smarter healthcare of AN and help to relief the burden of health professionals. However, there are technical, ethical, and environmental sustainability issues that must be considered prior to implement these systems. A joint collaboration of professionals and other members of the society involved in the healthcare of individuals with AN can help in the development of these systems. The evolution of cyberphysical systems should also be considered in these collaborations.

show abstract

The utility of deep brain stimulation surgery for treating eating disorders: A systematic review

Cited by 7 publications

References 45 publications

Cognitive and quality‐of‐life related factors of body mass index (BMI) improvement after deep brain stimulation in the subcallosal cingulate and nucleus accumbens in treatment‐refractory chronic anorexia nervosa

Cognitive and quality‐of‐life related factors of body mass index (BMI) improvement after deep brain stimulation in the subcallosal cingulate and nucleus accumbens in treatment‐refractory chronic anorexia nervosa

Sensor Technology and Intelligent Systems in Anorexia Nervosa: Providing Smarter Healthcare Delivery Systems

Sensor technology and intelligent systems in Anorexia Nervosa: Providing smarter healthcare delivery systems

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