Frontiers in electrochemical sensors for neurotransmitter detection: towards measuring neurotransmitters as chemical diagnostics for brain disorders

Ou, Yangguang; Buchanan, Anna Marie; Witt, Colby E.; Hashemi, Parastoo

doi:10.1039/c9ay00055k

Cited by 91 publications

(72 citation statements)

References 184 publications

(200 reference statements)

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“…In vivo monitoring of dopamine is relatively difficult because the concentrations are low, and the release and the clearing times from the extracellular space are fast (for reviews, see Ou et al., 2019; Si & Song, 2018). The two main methods available today to measure dopamine release as a consequence of mfb DBS are microdialysis and fast‐scan cyclic voltammetry (FSCV).…”

Section: Biological Consequence Of Mfb Neuromodulation: Focus On Dopamentioning

confidence: 99%

Neuromodulation in Psychiatric disorders: Experimental and Clinical evidence for reward and motivation network Deep Brain Stimulation: Focus on the medial forebrain bundle

Döbrössy¹,

Chockalingam²,

Vajari

et al. 2020

Eur J of Neuroscience

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Section: Biological Consequence Of Mfb Neuromodulation: Focus On Dopamentioning

confidence: 99%

Neuromodulation in Psychiatric disorders: Experimental and Clinical evidence for reward and motivation network Deep Brain Stimulation: Focus on the medial forebrain bundle

Döbrössy¹,

Chockalingam²,

Vajari

et al. 2020

Eur J of Neuroscience

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“…Neurotransmitter analyses under in vitro and in vivo conditions are necessary for understanding the functioning of the brain and its disorders because of their importance in clinical assessments [7][8][9]. However, NT concentrations in biological samples are relatively low (nM) and therefore require highly sensitive, selective, and reliable biosensors to detect them.…”

Section: Introductionmentioning

confidence: 99%

Electrochemical Detection of Neurotransmitters

et al. 2020

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Neurotransmitters are important chemical messengers in the nervous system that play a crucial role in physiological and physical health. Abnormal levels of neurotransmitters have been correlated with physical, psychotic, and neurodegenerative diseases such as Alzheimer’s, Parkinson’s, dementia, addiction, depression, and schizophrenia. Although multiple neurotechnological approaches have been reported in the literature, the detection and monitoring of neurotransmitters in the brain remains a challenge and continues to garner significant attention. Neurotechnology that provides high-throughput, as well as fast and specific quantification of target analytes in the brain, without negatively impacting the implanted region is highly desired for the monitoring of the complex intercommunication of neurotransmitters. Therefore, it is crucial to develop clinical assessment techniques that are sensitive and reliable to monitor and modulate these chemical messengers and screen diseases. This review focuses on summarizing the current electrochemical measurement techniques that are capable of sensing neurotransmitters with high temporal resolution in real time. Advanced neurotransmitter sensing platforms that integrate nanomaterials and biorecognition elements are explored.

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“…An example of an integrated sensing system for detection of dopamine, glutamate and adenosine is the wireless instantaneous neurotransmitter concentration sensing system (WINCS) which may be used as the sensing arm in closed loop or adaptive DBS (Van Gompel et al 2010). Electrochemical methods of neurotransmitter detection have some advantages over more traditional microdialysis probes (Rogers et al 2017) because of their smaller footprint, response speed on the order of seconds and because their fabrication shares many steps with that of traditional electrode arrays (Ou et al 2019). Application of advanced fabrication strategies such as multi-fiber braiding and 3D printing open further possibilities for parallel detection from multiple sites and for engineering the mechanical properties of probes closer to that of soft brain tissues (Wang et al 2019;Yang et al 2018).…”

Section: Future Directions: Multimodal Neural Systems For Addiction Tmentioning

confidence: 99%

Biomarkers and neuromodulation techniques in substance use disorders

et al. 2020

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Addictive disorders are a severe health concern. Conventional therapies have just moderate success and the probability of relapse after treatment remains high. Brain stimulation techniques, such as transcranial Direct Current Stimulation (tDCS) and Deep Brain Stimulation (DBS), have been shown to be effective in reducing subjectively rated substance craving. However, there are few objective and measurable parameters that reflect neural mechanisms of addictive disorders and relapse. Key electrophysiological features that characterize substance related changes in neural processing are Event-Related Potentials (ERP). These high temporal resolution measurements of brain activity are able to identify neurocognitive correlates of addictive behaviours. Moreover, ERP have shown utility as biomarkers to predict treatment outcome and relapse probability. A future direction for the treatment of addiction might include neural interfaces able to detect addiction-related neurophysiological parameters and deploy neuromodulation adapted to the identified pathological features in a closed-loop fashion. Such systems may go beyond electrical recording and stimulation to employ sensing and neuromodulation in the pharmacological domain as well as advanced signal analysis and machine learning algorithms. In this review, we describe the state-of-the-art in the treatment of addictive disorders with electrical brain stimulation and its effect on addiction-related neurophysiological markers. We discuss advanced signal processing approaches and multi-modal neural interfaces as building blocks in future bioelectronics systems for treatment of addictive disorders.

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Frontiers in electrochemical sensors for neurotransmitter detection: towards measuring neurotransmitters as chemical diagnostics for brain disorders

Abstract: This critical review highlights significant technical advances and in vivo studies from the last five years that facilitate the development of diagnostic tools for brain disorders.

Cited by 91 publications

References 184 publications

Neuromodulation in Psychiatric disorders: Experimental and Clinical evidence for reward and motivation network Deep Brain Stimulation: Focus on the medial forebrain bundle

Neuromodulation in Psychiatric disorders: Experimental and Clinical evidence for reward and motivation network Deep Brain Stimulation: Focus on the medial forebrain bundle

Electrochemical Detection of Neurotransmitters

Biomarkers and neuromodulation techniques in substance use disorders

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