First evidence of a hyperdirect prefrontal pathway in the primate: precise organization for new insights on subthalamic nucleus functions

Nougaret, Simon; Meffre, Julie; Duclos, Yann; Breysse, Emmanuel; Pelloux, Yann

doi:10.3389/fncom.2013.00135

Cited by 15 publications

(11 citation statements)

References 13 publications

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“…Here, we extend anatomical definition of the same circuit and show that it emerges based on data from multiple stimulation sites. The subthalamic nucleus receives afferents from a large portion of the prefrontal cortex by hyperdirect pathways that are known to traverse within the internal capsule 45,57 . Recently, such an input to the STN from prefrontal regions was electrophysiologically described in humans 58 .…”

Section: Discussionmentioning

confidence: 99%

Toward a unified connectomic target for deep brain stimulation in obsessive-compulsive disorder

Baldermann

Kibleur

et al. 2019

Preprint

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Multiple surgical targets have been proposed for treating obsessive-compulsive disorder (OCD) with deep brain stimulation (DBS). However, different targets may modulate the same neural network responsible for clinical improvement. Here we analyzed data from four cohorts of OCD patients (N = 50) that underwent DBS to the anterior limb of the internal capsule (ALIC), the nucleus accumbens (NAcc) or the subthalamic nucleus (STN). Fiber tracts that were predominantly connected to electrodes in good or poor DBS responders were isolated from a normative structural connectome and assigned a predictive value. Strikingly, the same fiber bundle was related to treatment response when independently analyzing two large training cohorts that targeted either ALIC or STN. This discriminative tract is a subsection of the ALIC and connects frontal regions (such as the dorsal anterior cingulate, dACC, and ventral prefrontal, vlPFC, cortices to the STN). When informing the tract solely based on one cohort (e.g. ALIC), clinical improvements in the other (e.g. STN)could be significantly predicted, and vice versa. Finally, clinical improvements of eight patients from a third center with electrodes in the NAcc and six patients from a fourth center in which electrodes had been implanted in both STN and ALIC were significantly predicted based on this novel tract-based DBS target. Results suggest a functional role of a limbic hyperdirect pathway that projects from dACC and vlPFC to anteriomedial STN. Obsessivecompulsive symptoms seem to be tractable by modulating the specific bundle isolated here.Our results show that connectivity-derived improvement models can inform clinical improvement across DBS targets, surgeons and centers. The identified tract is now threedimensionally defined in stereotactic standard space and will be made openly available.

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Section: Discussionmentioning

confidence: 99%

Toward a unified connectomic target for deep brain stimulation in obsessive-compulsive disorder

Baldermann

Kibleur

et al. 2019

Preprint

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“…Nor does the theory account for the so-called hyper direct projection (hyperdir in Fig. 2B) from the cortex to the STN (Nambu et al, 2002; Nambu, 2009; Jahfari et al, 2011; Nougaret et al, 2013) or a robust projection from one output nucleus, the EPN, to the other, the SNr. Possible preferential activation of the direct or indirect pathways by midline-intralaminar thalamic inputs is also not considered in the theory (Groenewegen and Berendse, 1994; van der Werf et al, 2002).…”

Section: Afferent Connectionsmentioning

confidence: 99%

An update on the connections of the ventral mesencephalic dopaminergic complex

et al. 2014

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This review covers the intrinsic organization and afferent and efferent connections of the midbrain dopaminergic complex, comprising the substantia nigra, ventral tegmental area and retrorubral field, which house, respectively, the A9, A10 and A8 groups of nigrostriatal, mesolimbic and mesocortical dopaminergic neurons. In addition, A10dc (dorsal, caudal) and A10rv (rostroventral) extensions into, respectively, the ventrolateral periaqueductal gray and supramammillary nucleus are discussed. Associated intrinsic and extrinsic connections of the midbrain dopaminergic complex that utilize gamma-aminobutyric acid (GABA), glutamate and neuropeptides and various co-expressed combinations of these compounds are considered in conjunction with the dopamine-containing systems. A framework is provided for understanding the organization of masssive afferent systems descending and ascending to the midbrain dopaminergic complex from the telencephalon and brainstem, respectively. Within the context of this framework, the basal ganglia direct and indirect output pathways are treated in some detail. Findings from rodent brain are briefly compared with those from primates, including human. Recent literature is emphasized, including traditional experimental neuroanatomical and modern gene transfer and optogenetic studies. An attempt was made to provide sufficient background and cite a representative sampling of earlier primary papers and reviews so that people new to the field may find this to be a relatively comprehensive treatment of the subject.

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“…The time difference between direct and indirect pathway affects the decision-making process. The hyperdirect pathway from PFC to STN, then to GPe and GPi helps this process (Simon et al, 2013 ). STN plays important role in preventing making decision too fast.…”

Section: Methodsmentioning

confidence: 99%

A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle

Zhao

Zeng

2018

Front. Neurorobot.

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Decision-making is a crucial cognitive function for various animal species surviving in nature, and it is also a fundamental ability for intelligent agents. To make a step forward in the understanding of the computational mechanism of human-like decision-making, this paper proposes a brain-inspired decision-making spiking neural network (BDM-SNN) and applies it to decision-making tasks on intelligent agents. This paper makes the following contributions: (1) A spiking neural network (SNN) is used to model human decision-making neural circuit from both connectome and functional perspectives. (2) The proposed model combines dopamine and spike-timing-dependent plasticity (STDP) mechanisms to modulate the network learning process, which indicates more biological inspiration. (3) The model considers the effects of interactions among sub-areas in PFC on accelerating the learning process. (4) The proposed model can be easily applied to decision-making tasks in intelligent agents, such as an unmanned aerial vehicle (UAV) flying through a window and a UAV avoiding an obstacle. The experimental results support the effectiveness of the model. Compared with traditional reinforcement learning and existing biologically inspired methods, our method contains more biologically-inspired mechanistic principles, has greater accuracy and is faster.

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First evidence of a hyperdirect prefrontal pathway in the primate: precise organization for new insights on subthalamic nucleus functions

Cited by 15 publications

References 13 publications

Toward a unified connectomic target for deep brain stimulation in obsessive-compulsive disorder

Toward a unified connectomic target for deep brain stimulation in obsessive-compulsive disorder

An update on the connections of the ventral mesencephalic dopaminergic complex

A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle

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