Faculty Bibliography

Increasing evidence over the past decade suggests that vision is not simply a passive, feed-forward process in which cortical areas relay progressively more abstract information to those higher up in the visual hierarchy, but rather an inferential process with top-down processes actively guiding and shaping perception. However, one major question that persists is whether such processes can be influenced by unconsciously perceived stimuli. Recent psychophysics and neuroimaging studies have revealed that while consciously perceived stimuli elicit stronger responses in higher visual and frontoparietal areas than those that fail to reach conscious awareness, the latter can still drive high-level brain and behavioral responses. We investigated whether unconscious processing of a masked natural image could facilitate subsequent conscious recognition of its degraded counterpart (a black-and-white "Mooney" image) presented many seconds later. We found that this is indeed the case, suggesting that conscious vision may be influenced by priors established by unconscious processing of a fleeting image.

Phosphodiesterase 5 (PDE5) is a critical component of the cGMP-PKG axis of cellular signaling in neurons, and inhibition of PDE5 has been shown to be therapeutic in a wide range of neurologic conditions in animal models. However, enthusiasm for PDE5 inhibitors in humans is limited by data suggesting that PDE5 may not exist in human neurons. Here, we first show that past attempts to quantify PDE5 mRNA were flawed due to the use of incorrect primers, and that when correct primers are used, PDE5 mRNA is detectable in human brain tissue. We then show that PDE5 protein exists in human brain by western blot and ELISA. Most importantly, we performed immunohistochemistry and demonstrate that PDE5 is present in human neurons. We hope that this work will trigger a renewed interest in the development of PDE5 inhibitors for neurologic disease.

PURPOSE: Perfusion analysis from first-pass contrast enhancement kinetics requires modeling tissue contrast exchange. This study presents a new approach for numerical implementation of the tissue homogeneity model, incorporating flexible distance steps along the capillary (NTHf). METHODS: The proposed NTHf model considers contrast exchange in fluid packets flowing along the capillary, incorporating flexible distance steps, thus allowing more efficient and stable calculations of the transit of tracer through the tissue. We prospectively studied 8 patients (62 +/- 13 years old) with suspected CAD, who underwent first-pass perfusion CMR imaging at rest and stress prior to angiography. Myocardial blood flow (MBF) and myocardial perfusion reserve index (MPRI) were estimated using both the NTHf and the conventional adiabatic approximation of the TH models. Coronary artery lesions detected at angiography were clinically assigned to one of three categories of stenosis severity ('insignificant', 'mild to moderate' and 'severe') and related to corresponding myocardial territories. RESULTS: The mean MBF (ml/g/min) at rest/stress and MPRI were 0.80 +/- 0.33/1.25 +/- 0.45 and 1.68 +/- 0.54 in the insignificant regions, 0.74 +/- 0.21/1.09 +/- 0.28 and 1.54 +/- 0.46 in the mild to moderate regions, and 0.79 +/- 0.28/0.63 +/- 0.34 and 0.85 +/- 0.48 in the severe regions, respectively. The correlation coefficients of MBFs at rest/stress and MPRI between the NTHf and AATH models were r = 0.97/0.93 and r = 0.91, respectively. CONCLUSIONS: The proposed NTHf model allows efficient quantitative analysis of the transit of tracer through tissue, particularly at higher flow. Results of initial application to MRI of myocardial perfusion in CAD are encouraging.

We measured saccadic latencies in a large sample (total n = 459) of individuals with amblyopia or risk factors for amblyopia, e.g., strabismus or anisometropia, and normal control subjects. We presented an easily visible target randomly to the left or right, 3.5 degrees from fixation. The interocular difference in saccadic latency is highly correlated with the interocular difference in LogMAR (Snellen) acuity-as the acuity difference increases, so does the latency difference. Strabismic and strabismic-anisometropic amblyopes have, on average, a larger difference between their eyes in LogMAR acuity than anisometropic amblyopes and thus their interocular latency difference is, on average, significantly larger than anisometropic amblyopes. Despite its relation to LogMAR acuity, the longer latency in strabismic amblyopes cannot be attributed either to poor resolution or to reduced contrast sensitivity, because their interocular differences in grating acuity and in contrast sensitivity are roughly the same as for anisometropic amblyopes. The correlation between LogMAR acuity and saccadic latency arises because of the confluence of two separable effects in the strabismic amblyopic eye-poor letter recognition impairs LogMAR acuity while an intrinsic sluggishness delays reaction time. We speculate that the frequent microsaccades and the accompanying attentional shifts, made while strabismic amblyopes struggle to maintain fixation with their amblyopic eyes, result in all types of reactions being irreducibly delayed.

The invention of new mouse molecular genetics techniques, initiated in the 1980s, has repeatedly expanded our ability to tackle exciting developmental biology problems. The brain is the most complex organ, and as such the more sophisticated the molecular genetics technique, the more impact they have on uncovering new insights into how our brain functions. I provide a general time line for the introduction of new techniques over the past 30 years and give examples of new discoveries in the neural development field that emanated from them. I include a look to what the future holds and argue that we are at the dawn of a very exciting age for young scientists interested in studying how the nervous system is constructed and functions with such precision.

Objective: To evaluate the cutaneous silent period (CSP) in patients with hereditary sensory and autonomic neuropathies (HSAN) type III (HSAN-III) with decreased pain perception and type IV (HSAN-IV) with complete insensitivity to pain. Background: Decreased pain perception is a cardinal feature of HSAN. The CSP, the electrophysiological equivalent of a withdrawal reflex from a painful stimulus, may help to evaluate A-delta fibers in patients with different types of HSAN. Methods: Twenty patients with HSAN-III, 3 patients with HSAN-IV and 24 age-matched healthy control subjects were evaluated. The CSP was recorded from voluntarily contracted thenar muscles while electrical pulses were given to the second finger at 75 and 90 mA intensities. The percentage of appearance, latency, and duration of CSP responses were quantified. Kruskal-Wallis test was used for between group comparisons. Results: Patients with HSAN-III and control subjects showed 100[percnt] of appearance of CSP for both intensities of stimulation. However, when compared to controls, patients with HSAN-III showed significantly longer latencies (75 mA: 79+/-11 versus 69+/-12, p=0.02; 90 mA: 74+/-8 versus 67+/-11, p=0.0001) and increased durations (75 mA: 54+/-21 versus 32+/-13, p=0.0001; 90 mA: 54+/-12 versus 43+/-17, p=0.04) for the two intensities of stimulation. Patients with HSAN-IV showed no CSP responses at both intensities of stimulation. Conclusions: Relatively preserved, albeit delayed and prolonged, CSP responses in HSAN-III are congruent with the clinical observation that these patients are able to perceive some forms of pain (e.g., sharp pain). We speculate that even a reduced population of A-delta fibers is sufficient to produce CSP in HSAN-III. In contrast, the absence of CSP in HSAN-IV, congruent with complete insensitivity to pain, suggests that these patients have no functional A-delta nociceptive fibers. CSP can be used as an efficient physiologic aid to discriminate between complete insensitivity to pain and dulled pain perception

Functional analysis of a clinical microbiome facilitates the elucidation of mechanisms by which microbiome perturbation can cause a phenotypic change in the patient. The direct approach for the analysis of the functional capacity of the microbiome is via shotgun metagenomics. An inexpensive method to estimate the functional capacity of a microbial community is through collecting 16S rRNA gene profiles then indirectly inferring the abundance of functional genes. This inference approach has been implemented in the PICRUSt and Tax4Fun software tools. However, those tools have important limitations since they rely on outdated functional databases and uncertain phylogenetic trees and require very specific data pre-processing protocols. Here we introduce Piphillin, a straightforward algorithm independent of any proposed phylogenetic tree, leveraging contemporary functional databases and not obliged to any singular data pre-processing protocol. When all three inference tools were evaluated against actual shotgun metagenomics, Piphillin was superior in predicting gene composition in human clinical samples compared to both PICRUSt and Tax4Fun (p<0.01 and p<0.001, respectively) and Piphillin's ability to predict disease associations with specific gene orthologs exhibited a 15% increase in balanced accuracy compared to PICRUSt. From laboratory animal samples, no performance advantage was observed for any one of the tools over the others and for environmental samples all produced unsatisfactory predictions. Our results demonstrate that functional inference using the direct method implemented in Piphillin is preferable for clinical biospecimens. Piphillin is publicly available for academic use at http://secondgenome.com/Piphillin.

Neural activity recorded at multiple spatiotemporal scales is dominated by arrhythmic fluctuations without a characteristic temporal periodicity. Such activity often exhibits a 1/f-type power spectrum, in which power falls off with increasing frequency following a power-law function: [Formula: see text], which is indicative of scale-free dynamics. Two extensively studied forms of scale-free neural dynamics in the human brain are slow cortical potentials (SCPs)-the low-frequency (<5 Hz) component of brain field potentials-and the amplitude fluctuations of alpha oscillations, both of which have been shown to carry important functional roles. In addition, scale-free dynamics characterize normal human physiology such as heartbeat dynamics. However, the exact relationships among these scale-free neural and physiological dynamics remain unclear. We recorded simultaneous magnetoencephalography and electrocardiography in healthy subjects in the resting state and while performing a discrimination task on scale-free dynamical auditory stimuli that followed different scale-free statistics. We observed that long-range temporal correlation (captured by the power-law exponent beta) in SCPs positively correlated with that of heartbeat dynamics across time within an individual and negatively correlated with that of alpha-amplitude fluctuations across individuals. In addition, across individuals, long-range temporal correlation of both SCP and alpha-oscillation amplitude predicted subjects' discrimination performance in the auditory task, albeit through antagonistic relationships. These findings reveal interrelations among different scale-free neural and physiological dynamics and initial evidence for the involvement of scale-free neural dynamics in the processing of natural stimuli, which often exhibit scale-free dynamics.

Introduction: Delayed sleep and meal timing promote metabolic dysregulation and obesity. Altered coordination of sleep and eating may impact food reward valuation in the brain; yet the independent and collective contribution of sleep and meal times remains unknown. This pilot, randomized crossover study manipulates both sleep and meal times while preserving normal sleep duration (8 h time in bed for 5 nights) to test how misalignment of sleeping and eating behaviors affects intrinsic functional connectivity (iFC) across reward and interoception-related brain circuitry. Methods: Resting state functional MRI scans (3T Siemens Skyra; TR = 2.5s; 2 x ~5-minute runs) were obtained for 4 participants (3 males; 25.3 +/- 4.6 years) who completed all 4 phases (normal sleep/normal meal; late sleep/normal meal; normal sleep/late meal; late sleep/late meal). Normal meal times were 1, 5, 11, and 12.5 h after awakening and late meal times were 4.5, 8.5, 14.5 and 16 h after awakening. For a priori selected regions-of-interest (seeds) relevant to food reward and interoception, each seed's iFC was calculated as the correlation between its time-series and that of every voxel, and then contrasted between conditions. Standard preprocessing and seed-based correlations used the Configurable Pipeline for the Analysis of Connectomes v0.3.9. Results: Statistically significant (p late) additionally significantly modulated iFC between left ventral striatum and precuneus. Other significant iFC modulations of components of reward and interoception circuitry will also be presented. Conclusion: These pilot findings provide support that misalignment of sleep and food timing alters iFC in regions relevant to food reward and interoception, motivating examination in a larger sample