Biology subjects

Siegel, S.

Publications and source records attributed to Siegel, S..

2 recordsLinked to original sources

bioRxiv2023

Frequency- and circuit- specific effects of septohippocampal deep brain stimulation in mice as measured by functional ultrasound imaging.

BackgroundDeep brain stimulation (DBS) has shown remarkable success in treating neurological and psychiatric disorders such as Parkinsons disease, dystonia, epilepsy, and obsessive-compulsive disorder. Despite this success, the underlying mechanism of action remains unknown. DBS is now being explored to improve functional outcomes in other psychiatric conditions, such as those characterized by reduced N-methyl-D-aspartate (NMDA) function (i.e. schizophrenia). While DBS for movement disorders requires high-frequency continuous stimulation, there is evidence that intermittent low-frequency stimulation in neuropsychiatric conditions may have persisting cognitive benefits, necessitating a broader exploration of how DBS alters brain networks. ObjectiveWe characterize the effects of pharmacologic NMDA antagonism on the septohippocampal network and the impact of high- and low-frequency MSN DBS on cerebral blood volume (CBV) in brain structures within and outside of the septohippocampal network. MethodsIn this study, we utilize a novel technology, functional ultrasound imaging (fUSI), to characterize the cerebrovascular impact of medial septal nucleus (MSN) DBS under conditions of NMDA antagonism (pharmacologically using Dizocilpine [MK-801]) in anesthetized male mice. ResultsImaging from a sagittal plane across a variety of brain regions, we find that MSN theta-frequency (7.7Hz) DBS has a larger effect on hippocampal CBV after stimulation offset. This is observed following an intraperitoneal (i.p.) injection of either saline vehicle or MK-801 (1 mg/kg). This effect is not present using standard high-frequency DBS stimulation parameters (i.e. gamma [100Hz]). ConclusionThese results indicate the MSN DBS increases circuit-specific hippocampal neurovascular activity in a frequency-dependent manner that continues beyond the period of electrical stimulation.

neuroscience↗

bioRxiv2021

Aberrant Functional Connectivity between Reward and Inhibitory Control Networks in Pre-Adolescent Binge Eating Disorder

BackgroundBehavioral features of binge eating disorder (BED) suggest abnormalities in reward and inhibitory control. Studies of adult populations suggest functional abnormalities in reward and inhibitory control networks. Despite behavioral markers often developing in children, the neurobiology of pediatric BED remains unstudied. Methods58 pre-adolescent children (aged 9-10-years) with BED and 66 age, BMI and developmentally-matched control children were extracted from the 3.0 baseline (Year 0) release of the Adolescent Brain Cognitive Development (ABCD) Study. We investigated group differences in resting-state functional MRI (rs-fMRI) functional connectivity (FC) within and between reward and inhibitory control networks. A seed-based approach was employed to assess nodes in the reward (orbitofrontal cortex, nucleus accumbens, amygdala) and inhibitory control (dorsolateral prefrontal cortex, anterior cingulate cortex) networks via hypothesis-driven seed-to- seed analyses, and secondary seed-to-voxel analyses. ResultsOur findings revealed reduced FC between the dlPFC and amygdala, and between the anterior cingulate cortex and orbitofrontal cortex in pre-adolescent children with BED, relative to age, gender, BMI and developmentally matched controls. These findings indicating aberrant connectivity between nodes of inhibitory control and reward networks were corroborated by the whole-brain FC analyses. ConclusionsEarly-onset BED may be characterized by diffuse abnormalities in the functional synergy between reward and cognitive control networks, without perturbations within reward and inhibitory control networks, respectively. The decreased capacity to regulate a reward-driven pursuit of hedonic foods, which is characteristic of BED, may in part, rest on this dysconnectivity between reward and inhibitory control networks.

neuroscience↗