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. 2018 Oct 9;28(7):813–818. doi: 10.1177/0963689718804144

Deep Brain Stimulation for Amelioration of Cognitive Impairment in Neurological Disorders: Neurogenesis and Circuit Reanimation

Sheng-Tzung Tsai 1,2, Horng-Jyh Harn 3, Shinn-Zong Lin 1, Guo-Fang Tseng 4,, Shin-Yuan Chen 1,2,
PMCID: PMC6719490  PMID: 30298752

Abstract

Acute (e.g., traumatic brain injury or stroke) and chronic (e.g., dementia or Parkinson’s disease dementia) neurological disorders that involve cognitive impairment and dysfunctional neural circuits always lead to a dreadful and costly experience for patients and their families. The application of deep brain stimulation for the treatment of neuropsychiatric disorders has shown great potential to modulate pathological neural circuits and trigger endogenous neurogenesis. We summarize several important clinical and translational studies that utilize deep brain stimulation to improve cognition based on the potentiation of neural plasticity and neurogenesis. In addition, we discuss the neuroanatomy and cerebral circuits implicated in such studies as well as the potential mechanisms underlying therapeutic benefits.

Keywords: deep brain stimulation, neurogenesis, Alzheimer’s disease, dementia, learning and memory

Introduction

Deep brain stimulation (DBS) is a promising treatment for movement disorders and some neuropsychiatric disorders. Proposed mechanisms underlying clinical improvement are based on neuromodulation of pathological signal processing in the brain. Although the specific mechanisms by which DBS exerts benefit are still relatively unknown, increasing evidence has shown it might involve multiple physiological mechanisms1,2. Importantly, the modulation of specific neural circuits via DBS also results in increased neurogenesis, synaptic plasticity, and cell survival by upregulating specific genes35. Over the last decade, several studies have advanced the application of DBS and have shown the ability to improve learning and memory by targeting particular brain structures at specific time points6. In this review, we highlight several pivotal brain regions and their connecting circuitry to provide insights into the underpinnings of how DBS may augment cognition to overcome pathology-induced deficits.

DBS in Neurological Disorders

Medial Temporal Structure

Early case studies that focused on the removal of hippocampal structures to treat epilepsy were the first to reveal the importance of medial temporal lobe function to memory79. In line with these studies, experiential memory phenomena (déjà vu) were associated with medial temporal lobe seizures. Following previous reports about temporal lobe stimulation inducing feelings of familiarity, Bartolomei was the first to show that specific entorhinal cortex stimulation could cause more déjà vu or context-specific memories10. The concept was further exemplified by another study utilizing stimulation of the medial temporal lobe in epileptic patients, which evoked autobiographical memories11. These studies suggest that the medial temporal lobe plays a vital role in declarative memory function. Functional imaging studies show activation of the medial temporal lobe (including the entorhinal cortex) exclusively happened during memory encoding. Furthermore, neuronal recordings of the medial temporal lobe have revealed the correlation between memory strength and neuronal activity and spike timings and local field potential during engagement of a learning task12. Capturing activation patterns in the medial temporal lobe have further advanced our understanding of how the structures function during mnemonic processes13. Based on these results, the activation of large neural networks within the medial temporal lobe seems to be strongly correlated with encoding or retrieving memory and neuromodulation of these areas may facilitate cognitive processes to improve these functions.

Given the prerequisite role of medial temporal structures in memory encoding, these areas have been under vigorous investigation to explore whether the influence of neural activity could lead to better cognition14. Suthana et al. demonstrated spatial navigation enhancement in epileptic patients when stimulation was applied to the entorhinal cortex while patients learn the location of spatial landmarks15,16. In addition, the power of the theta rhythm increased after electrical stimulation in all four patients’ entorhinal cortex; theta rhythm is considered to be the electrophysiological hallmark for improvement of spatial learning17. In contrast, direct stimulation of the hippocampus, a key structure in the spatial memory circuit, did not reveal similar improvements in spatial learning, indicating that stimulation of the cortical afferent input into the hippocampus might be more effective as a target for DBS to improve cognition. This phenomenon not only suggests memory is supported by the hippocampus but also indicates that disruption of local neuronal circuits within the hippocampus could result from stimulation of hippocampal neurons above the threshold18. Recent rodent studies have shown that encoding and mnemonic processes of memory could be manipulated or enhanced when hippocampal electrical stimulation matched hippocampal activity19,20. With optogenetic manipulation, reactivating or deactivating hippocampal neurons that are activated during learning results in specific memory recall or erasure20. These studies demonstrate the importance of temporal and physiological properties of electrical stimulation, having the ability to disrupt or enhance cognitive function18.

Fornix and Hypothalamus

A critical aspect of how DBS affects the brain depends on its location within the pathological neuronal circuitry. In the case of Parkinson’s disease, electrodes are implanted in the subthalamic nucleus (STN) or globus pallidus (GP), which are implicated in neural circuits involving motor control, to ensure maximal clinical benefits on patients’ motor symptoms. When DBS is used to treat psychiatric disorders (e.g., obsessive-compulsive disorder) the target brain regions include the ventral capsule/ventral striatum or limbic portion of the STN21,22. These areas further highlight that DBS not only influences the regional deep nuclei but also could be viewed as circuit modulators of afferent to efferent target neurons1. Studies done in humans to elucidate the mechanisms of learning and memory rely on epileptic patients with implanted recording and stimulation electrodes in the brain to identify epileptic foci23. This situation also provides an opportunity to explore whether electrical stimulation enhances spatial memory in epileptic patients. A serendipitous finding showed that a morbidly obese patient implanted with fornix/hypothalamus DBS electrodes had stimulation-responsive autobiographical memory recall24. Following this unexpected evoked memory, fornix DBS was tested in a double-blinded study to see if it would increase memory recollection. In addition, fornix DBS also increased activity in the ipsilateral mesial temporal lobe as shown on standard low-resolution electromagnetic tomography (sLORETA), demonstrating that DBS in the fornix could drive activity in the medial temporal lobe throughout the limbic circuit.

To explore the evidence of fornix DBS for treating patients with Alzheimer’s disease (AD), Laxton et al. followed six patients with mild AD implanted with DBS systems targeting the fornix and hypothalamus. After 1 year of DBS treatment, the severity of AD, as assessed by the Alzheimer’s Disease Assessment Scale-Cognitive (ADAS-Cog) subscale, improved or ceased to progress with DBS25. sLORETA revealed specific activation of the mesial temporal lobe structures of patients immediately after DBS. At longer latencies, activation patterns shifted to the posterior cingulate and medial parietal lobe. In line with this, a positron emission tomography study in the same report also demonstrated metabolic reversal of reduced cortical glucose utilization in the temporal and parietal lobes of patients with AD, providing more evidence on how DBS facilitates activation of remote limbic areas and potentiates memory improvement. These results suggest that DBS can improve memory through modulation of neural activity within memory circuits involving the fornix and hypothalamus. Working within this framework, forniceal DBS was explored to treat Rett syndrome, a childhood intellectual disorder. In a rodent model of Rett syndrome, 2 weeks of DBS treatment ameliorated the deficit of contextual fear memory and spatial learning in a Morris water maze26. In addition to behavioral improvement, the study further demonstrated that DBS enhanced hippocampal neurogenesis and improved long-term potentiation, potentially revealing a new underpinning of cognitive enhancement from DBS.

Continuous or open-loop electrical stimulation is the dominant form of clinically applied DBS. However, converging evidence suggests that patterned stimulation can increase the efficiency of DBS to augment signal processing in the brain. The utilization of theta burst stimulation in the fornix showed improved spatial memory benefit over conventional continuous DBS27. This dynamic stimulation also quickly normalizes decreased theta-gamma comodulation in amnesic animals. Another report using traumatic brain injury in a rodent model confirmed that patterned stimulation of the fornix using intermittent bursts in the theta range could also rescue cognitive impairment28. Results of this nature may arise due to the inherent theta frequencies of the hippocampus, whereby theta-frequency phase locking of single neurons in the hippocampus has been linked to memory retrieval capability12. Given the immediate reversal of the electrophysiological abnormality, burst pattern stimulation (200 Hz in 100-ms trains, 5 trains/sec, 100 μs, 7 mA) of the fornix was able to show faster improvement of spatial memory29, further highlighting the importance of stimulation parameters settings with DBS.

Basal Ganglia

The basal ganglia are associated with motor control and execution and have been primarily targeted in movement disorders. DBS, therefore, emerges as a promising treatment, and GP DBS could suppress abnormal overactivity in the motor cortex and associated motor circuits30. In addition, the basal ganglia are also composed of multiple parallel loops tied to associative and limbic circuits, which all point to a prerequisite role for the basal ganglia in learning and memory. Neuronal firing within the dorsal and ventral striatum has been shown to encode animal and human behavior during tasks involving the evaluation of expectations (e.g., reward responses)3133. For example, neural activity in the caudate nucleus is positively correlated with the rate of learning during an associative learning task34. Even delivery of microstimulation to the caudate nucleus (dorsal striatum) during the reinforcement period increased the learning rate.

In contrast, neurophysiological evidence showed that neuronal activity of the nucleus accumbens (NAc) in non-human primates increased during the go-cue (initial) stage of a visual-motor associative learning task, indicating these neurons are associated with exploitation in reward-based reinforcement learning35. This evidence suggests that the ventral striatum is associated with the central representation of reward and therefore plays essential roles in controlling motivation for goal-directed behavior. Taking advantage of spatially and temporally precise functions of the dorsal and ventral striatum in associative learning, Katnani et al. first adopted temporally coordinated DBS in the NAc and caudate nucleus for non-human primates36. The results showed that both temporally specific DBS in the NAc and caudate nucleus could reach significantly better learning performance, compared with stimulation to each target alone. This finding not only highlights the close coordination between ventral and dorsal striatum in associative learning but also highlights different roles involved in behavioral initiation (motivational relevance) to encoding rewarding outcome probability.

Mechanisms of DBS for Cognition Improvement in Neurological Injuries

Stimulation and Activation of Cognitive Circuits

Although the precise mechanism of fornix and hypothalamus stimulation is as yet unknown, axonal activation within the fornix provokes widespread downstream connected neural structures, including the impaired default mode network in AD37. Several animal studies have also shown that electrical stimulation within the limbic circuit may influence cognitive function and induce memory recall38,39. Stimulation was even proposed to activate the Papez circuit; whether DBS of the fornix, hypothalamus, or mamillary-thalamic tract, or all are responsible for memory enhancement remains to be elucidated. Furthermore, the effectiveness of using DBS to enhance cognition could depend on which nuclei are targeted, and therefore, different electrical parameters are used. Through exploration of animals with dementia, we might provide the optimal stimulating parameters and target selection for humans with neurodegeneration and memory impairment39.

DBS has been proven to enhance spatial learning memory in both rodents and humans, and the effect is event related. An essential aspect of both studies with entorhinal stimulations to enhance spatial memory all indicate the importance of stimulation during the learning phase when recruitment of cognitive circuit and plasticity formation are demanded most34,40. Future studies are necessary to compare the effectiveness of applying stimulation at different stages of the memory process, from learning, encoding, and storing to retrieval.

Incorporation of Neurogenesis Into Memory Circuits

Impairment of neurogenesis is associated with the severity of cognitive impairment in AD4. Although stem cell-based approaches might be a potential treatment, significant obstacles for cell transplantation remain as we strive to understand controlling stem cells. Nonetheless, stimulation of the entorhinal cortex induced neurogenesis of the dentate gyrus and subsequent recruitment of these ‘new neurons’ within hippocampal circuits, which showed promise for cognitive augmentation15. Formation of specific spatial navigation was only improved at 6 weeks rather than at 1 week after stimulation in this study, and this delay-dependence explains why adult-generated dentate granule cells are necessary to mature and integrate into the cognitive circuit supporting water maze memory. Few studies using direct electrical stimulation of the hippocampus in rodents and humans have shown negative results for subsequent memory acquisition18,41. These findings imply that manipulation or modulation of neural activities within cognitive circuits may be more effective than direct stimulation of memory storage sites, such as the hippocampus, to improve memory.

Anterior thalamus (AT) DBS has been shown to activate the cerebral cortex in epileptic patients42,43. Given that the AT directly connects with the hippocampus, AT DBS in rodents also revealed increased hippocampal neurogenesis and resulted in better cognitive performance44,45. Recruitment of newly formed neurons implicated in the cognitive process indicates the importance of stimulation duration, and it may take time to ensure long-term plasticity and identify the significant difference in humans46. Based on the causal relationship between improvement of learning and memory and expedited neurogenesis in the hippocampus after DBS, some studies have tried implantation of stem cells or neurotrophic factor to reach similar enhancement of cognition5.

Future Applications

Given the dynamic nature of the mnemonic learning process, from information encoding to memory retrieval, how we harness DBS and cell repair in a versatile fashion is a prerequisite to achieving enhancement of cortical plasticity and leading to improvement of implicated cognitive circuitry47. Traditionally, targeted neural excitation or inhibition via electrical current, mostly from DBS or cortical stimulation devices, rely on continuous stimulation, and it is hard to modulate these settings according to simultaneous neural activity detection48,49. Technological advances in neural interfaces are providing more ‘dynamic’ devices, which combine precise spatial and temporal resolution of neural signals and high fidelity and longevity of stimulation characterisics50. For example, cortical reorganization within the motor cortex resulting from recorded action potentials in one location to deliver electrical stimuli to distant sites has been proven through autonomously artificial connection cortical implant40. This approach could ensure the causal relationship between dynamic cognitive demand and stimulation to boost cognitive demand function.

Conclusions

The heterogeneity of neurological diseases with cognitive impairment indicates that their origins may lie in the dysfunction of multiple brain regions. The development of novel treatments to improve cognition is anticipated upon the identification of neural substrates within the cognitive circuit. Neuromodulation and the ensuing neurogenesis have emerged as a potential treatment of specific contexts of memory function. Our understanding of how neuromodulation works could help decipher the memory process and ameliorate dysfunctional neural circuits for patients’ impaired cognition.

Footnotes

Declaration of Conflicting Interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the Ministry of Science and Technology, Taiwan (MOST106-2314-B-303-015).

ORCID iD: Sheng-Tzung Tsai Inline graphic https://orcid.org/0000-0001-6611-9440

References

  • 1. Gradinaru V, Mogri M, Thompson KR, Henderson JM, Deisseroth K. Optical deconstruction of parkinsonian neural circuitry. Science. 2009;324(5925):354–359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Bekar L, Libionka W, Tian G-F, Xu Q, Torres A, Wang X, Lovatt D, Williams E, Takano T, Schnermann J, Bakos R, Nedergaard M. Adenosine is crucial for deep brain stimulation–mediated attenuation of tremor. Nat Med. 2008;14(1):75–80. [DOI] [PubMed] [Google Scholar]
  • 3. Pohodich AE, Yalamanchili H, Raman AT, Wan Y-W, Gundry M, Hao S, Jin H, Tang J, Liu Z, Zoghbi HY. Forniceal deep brain stimulation induces gene expression and splicing changes that promote neurogenesis and plasticity. Elife. 2018;7:e34031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Lopez-Toledano MA, Ali Faghihi M, Patel NS, Wahlestedt C. Adult neurogenesis: a potential tool for early diagnosis in Alzheimer’s disease? J. Alzheimers Dis. 2010;20(2):395–408. [DOI] [PubMed] [Google Scholar]
  • 5. Li M, Guo K, Ikehara S. Stem Cell Treatment for Alzheimer’s Disease. IJMS. 2014;15(10):19226–19238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Hu R, Eskandar E, Williams Z. Role of deep brain stimulation in modulating memory formation and recall. Neurosurg Focus. 2009;27(1):E3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Scoville WB, Milner B. Loss of recent memory after bilateral hippocampal lesions. J Neurol Neurosurg Psychiatry. 1957;20(1):11–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Viskontas IV, McAndrews MP, Moscovitch M. Remote episodic memory deficits in patients with unilateral temporal lobe epilepsy and excisions. J Neurosci. 2000;20(15):5853–5857. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Squire LR, Alvarez P. Retrograde amnesia and memory consolidation: a neurobiological perspective. Curr Opin Neurobiol. 1995;5(2):169–177. [DOI] [PubMed] [Google Scholar]
  • 10. Bartolomei F, Barbeau E, Gavaret M, Guye M, McGonigal A, Régis J, Chauvel P. Cortical stimulation study of the role of rhinal cortex in déjà vu and reminiscence of memories. Neurology. 2004;63(5):858–864. [DOI] [PubMed] [Google Scholar]
  • 11. Vignal J-P, Maillard L, McGonigal A, Chauvel P. The dreamy state: hallucinations of autobiographic memory evoked by temporal lobe stimulations and seizures. Brain. 2007;130(Pt 1):88–99. [DOI] [PubMed] [Google Scholar]
  • 12. Rutishauser U, Ross IB, Mamelak AN, Schuman EM. Human memory strength is predicted by theta-frequency phase-locking of single neurons. Nature. 2010;464(7290):903–907. [DOI] [PubMed] [Google Scholar]
  • 13. Suthana N, Fried I. Deep brain stimulation for enhancement of learning and memory. Neuroimage. 2014;85(P3):996–1002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Bird CM, Burgess N. The hippocampus and memory: insights from spatial processing. Nat Rev Neurosci. 2008;9(3):182–194. [DOI] [PubMed] [Google Scholar]
  • 15. Stone SSD, Teixeira CM, Devito LM, Zaslavsky K, Josselyn SA, Lozano AM, Frankland PW. Stimulation of entorhinal cortex promotes adult neurogenesis and facilitates spatial memory. J Neurosci. 2011;31(38):13469–13484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Suthana N, Haneef Z, Stern J, Mukamel R, Behnke E, Knowlton B, Fried I. Memory enhancement and deep-brain stimulation of the entorhinal area. N Engl J Med. 2012;366(6):502–510. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Kahana MJ, Seelig D, Madsen JR. Theta returns. Curr Opin Neurobiol. 2001;11(6):739–744. [DOI] [PubMed] [Google Scholar]
  • 18. Halgren E, Wilson CL, Stapleton JM. Human medial temporal-lobe stimulation disrupts both formation and retrieval of recent memories. Brain Cogn. 1985;4(3):287–295. [DOI] [PubMed] [Google Scholar]
  • 19. Berger TW, Hampson RE, Song D, Goonawardena A, Marmarelis VZ, Deadwyler SA. A cortical neural prosthesis for restoring and enhancing memory. J Neural Eng. 2011;8(4):046017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Nabavi S, Fox R, Proulx CD, Lin JY, Tsien RY, Malinow R. Engineering a memory with LTD and LTP. Nature. 2014;511(7509):348–352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Pepper J, Hariz M, Zrinzo L. Deep brain stimulation versus anterior capsulotomy for obsessive-compulsive disorder: a review of the literature. J. Neurosurg. 2015;122(5):1028–1037. [DOI] [PubMed] [Google Scholar]
  • 22. Mallet L, Polosan M, Jaafari N, Baup N, Welter M-L, Fontaine D, Montcel du ST, Yelnik J, Chéreau I, Arbus C, Raoul S, Aouizerate B, Damier P, Chabardes S, Czernecki V, Ardouin C, Krebs M-O, Bardinet E, Chaynes P, Burbaud P, Cornu P, et al. ; STOC Study Group. Subthalamic nucleus stimulation in severe obsessive-compulsive disorder. N Engl J Med. 2008;359(20):2121–2134. [DOI] [PubMed] [Google Scholar]
  • 23. Mukamel R, Fried I. Human intracranial recordings and cognitive neuroscience. Annu Rev Psychol. 2012;63(1):511–537. [DOI] [PubMed] [Google Scholar]
  • 24. Hamani C, McAndrews MP, Cohn M, Oh M, Zumsteg D, Shapiro CM, Wennberg RA, Lozano AM. Memory enhancement induced by hypothalamic/fornix deep brain stimulation. Ann Neurol. 2008;63(1):119–123. [DOI] [PubMed] [Google Scholar]
  • 25. Laxton AW, Tang-Wai DF, McAndrews MP, Zumsteg D, Wennberg R, Keren R, Wherrett J, Naglie G, Hamani C, Smith GS, Lozano AM. A phase I trial of deep brain stimulation of memory circuits in Alzheimer’s disease. Ann Neurol. 2010;68(4):521–534. [DOI] [PubMed] [Google Scholar]
  • 26. Hao S, Tang B, Wu Z, Ure K, Sun Y, Tao H, Gao Y, Patel AJ, Curry DJ, Samaco RC, Zoghbi HY, Tang J. Forniceal deep brain stimulation rescues hippocampal memory in Rett syndrome mice. Nature. 2015;526(7573):430–434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Shirvalkar PR, Rapp PR, Shapiro ML. Bidirectional changes to hippocampal theta-gamma comodulation predict memory for recent spatial episodes. Proc Natl Acad Sci U S A. 2010;107(15):7054–7059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Sweet JA, Eakin KC, Munyon CN, Miller JP. Improved learning and memory with theta-burst stimulation of the fornix in rat model of traumatic brain injury. Hippocampus. 2014;24(12):1592–1600. [DOI] [PubMed] [Google Scholar]
  • 29. Miller JP, Sweet JA, Bailey CM, Munyon CN, Luders HO, Fastenau PS. Visual-spatial memory may be enhanced with theta burst deep brain stimulation of the fornix: a preliminary investigation with four cases. Brain. 2015;138(7):1833–1842. [DOI] [PubMed] [Google Scholar]
  • 30. Barow E, Neumann W-J, Brücke C, Huebl J, Horn A, Brown P, Krauss JK, Schneider G-H, Kühn AA. Deep brain stimulation suppresses pallidal low frequency activity in patients with phasic dystonic movements. Brain. 2014;137(Pt 11):3012–3024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Schultz W. Changes in behavior-related neuronal activity in the striatum during learning. Trends Neurosci. 2003;26(6):321–328. [DOI] [PubMed] [Google Scholar]
  • 32. Patel SR, Sheth SA, Mian MK, Gale JT, Greenberg BD, Dougherty DD, Eskandar EN. Single-neuron responses in the human nucleus accumbens during a financial decision-making task. J Neurosci. 2012;32(21):7311–7315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Sheth SA, Abuelem T, Gale JT, Eskandar EN. Basal ganglia neurons dynamically facilitate exploration during associative learning. J Neurosci. 2011;31(13):4878–4885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Williams ZM, Eskandar EN. Selective enhancement of associative learning by microstimulation of the anterior caudate. Nat Neurosci. 2006;9(4):562–568. [DOI] [PubMed] [Google Scholar]
  • 35. Gale JT, Shields DC, Ishizawa Y, Eskandar EN. Reward and reinforcement activity in the nucleus accumbens during learning. Front Behav Neurosci. 2014;8:114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Katnani HA, Patel SR, Kwon C-S, Abdel-Aziz S, Gale JT, Eskandar EN. Temporally coordinated deep brain stimulation in the dorsal and ventral striatum synergistically enhances associative learning. Sci Rep. 2016;6(1):18806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Smith GS. Increased cerebral metabolism after 1 year of deep brain stimulation in alzheimer diseaseincreased cerebral metabolism after 1 year of DBS. Arch Neurol. 2012;69(9):1141–1148. [DOI] [PubMed] [Google Scholar]
  • 38. Huguet G, Aldavert-Vera L, Kádár E, Peña de Ortiz S, Morgado-Bernal I, Segura-Torres P. Intracranial self-stimulation to the lateral hypothalamus, a memory improving treatment, results in hippocampal changes in gene expression. Neuroscience. 2009;162(2):359–374. [DOI] [PubMed] [Google Scholar]
  • 39. Hescham S, Lim LW, Jahanshahi A, Steinbusch HW, Prickaerts J, Blokland A, Temel Y. Deep brain stimulation of the forniceal area enhances memory functions in experimental dementia: the role of stimulation parameters. Brain Stimul. 2013;6(1):72–77. [DOI] [PubMed] [Google Scholar]
  • 40. Jackson A, Mavoori J, Fetz EE. Long-term motor cortex plasticity induced by an electronic neural implant. Nature. 2006;444(7115):56–60. [DOI] [PubMed] [Google Scholar]
  • 41. Coleshill SG, Binnie CD, Morris RG, Alarcón G, van Emde Boas W, Velis DN, Simmons A, Polkey CE, van Veelen CWM, van Rijen PC. Material-specific recognition memory deficits elicited by unilateral hippocampal electrical stimulation. J Neurosci. 2004;24(7):1612–1616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Oh Y-S, Kim HJ, Lee KJ, Kim YI, Lim S-C, Shon Y-M. Cognitive improvement after long-term electrical stimulation of bilateral anterior thalamic nucleus in refractory epilepsy patients. Seizure. 2012;21(3):183–187. [DOI] [PubMed] [Google Scholar]
  • 43. Zumsteg D, Lozano AM, Wieser HG, Wennberg RA. Cortical activation with deep brain stimulation of the anterior thalamus for epilepsy. Clin Neurophysiol. 2006;117(1):192–207. [DOI] [PubMed] [Google Scholar]
  • 44. Toda H, Hamani C, Fawcett AP, Hutchison WD, Lozano AM. The regulation of adult rodent hippocampal neurogenesis by deep brain stimulation. J Neurosurg. 2008;108(1):132–138. [DOI] [PubMed] [Google Scholar]
  • 45. Aggleton JP, O’Mara SM, Vann SD, Wright NF, Tsanov M, Erichsen JT. Hippocampal-anterior thalamic pathways for memory: uncovering a network of direct and indirect actions. Eur J Neurosci. 2010;31(12):2292–2307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Hamani C, Stone SS, Garten A, Lozano AM, Winocur G. Memory rescue and enhanced neurogenesis following electrical stimulation of the anterior thalamus in rats treated with corticosterone. Exp Neurol. 2011;232(1):100–104. [DOI] [PubMed] [Google Scholar]
  • 47. Cramer SC, Sur M, Dobkin BH, O’Brien C, Sanger TD, Trojanowski JQ, Rumsey JM, Hicks R, Cameron J, Chen D, Chen WG, et al. Harnessing neuroplasticity for clinical applications. Brain. 2011;134(6):1591–1609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Katayama Y, Yamamoto T, Kobayashi K, Kasai M, Oshima H, Fukaya C. Motor cortex stimulation for post-stroke pain: comparison of spinal cord and thalamic stimulation. Stereotact Funct Neurosurg. 2001;77(1-4):183–186. [DOI] [PubMed] [Google Scholar]
  • 49. Yamamoto T, Katayama Y, Watanabe M, Sumi K, Obuchi T, Kobayashi K, Oshima H, Fukaya C. Changes in motor function induced by chronic motor cortex stimulation in post-stroke pain patients. Stereotact Funct Neurosurg. 2011;89(6):381–389. [DOI] [PubMed] [Google Scholar]
  • 50. Kipke DR, Shain W, Buzsaki G, Fetz E, Henderson JM, Hetke JF, Schalk G. Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities. J Neurosci. 2008;28(46):11830–11838. [DOI] [PMC free article] [PubMed] [Google Scholar]

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