Biology subjects

Parodi, F.

Publications and source records attributed to Parodi, F..

5 recordsLinked to original sources

bioRxiv2026

Mid-superior temporal sulcus encodes spatial context and behavioral state in freely moving macaques

Primate neuroscience has traditionally studied the brain under highly constrained conditions, limiting our understanding of neural function during real-world behavior. The mid-superior temporal sulcus (mSTS) is implicated in social perception, but its role during unconstrained behavior has not been tested. Here we performed wireless depth-electrode recordings from both banks of mSTS in macaques freely exploring a large three-dimensional arena, combined with 3D pose tracking and behavioral segmentation. Neural encoding models revealed mSTS firing rates were jointly modulated by spatial position, body kinematics, and geometric visual proxies, preferentially encoded in allocentric coordinates but with a shift toward body-centric encoding during vertical exploration. Neural populations carried decodable information about discrete behavioral syllables, with broad temporal generalization and neural similarity that tracked the sequential structure of behavior. Population manifold analysis revealed that the same behavior occupied different regions of population space at different spatial locations, and population dynamics showed structured organization around behavioral transitions. Together, these results suggest that mSTS populations carry joint information about spatial context and behavioral state during natural behavior.

neuroscience↗

bioRxiv2025

PrimateFace: A Machine Learning Resource for Automated Face Analysis in Human and Non-human Primates

Machine learning has revolutionized human face analysis, but equivalent tools for non-human primates remain limited and species-specific, hindering progress in neuroscience, anthropology, and conservation. Here, we present PrimateFace, a comprehensive, cross-species platform for primate facial analysis comprising a systematically curated dataset of 260,000+ images spanning over 60 genera, including a genus-balanced subset of 60,000 images, annotated with bounding boxes and facial landmark configurations. Face detection and facial landmark estimation models trained on PrimateFace achieve high cross-species performance, from tarsiers to gorillas, achieving performance comparable to baseline models trained exclusively on human data (0.34 vs. 0.39 mAP for face detection; 0.061 vs. 0.053 normalized landmark error), demonstrating the generalization benefits of cross-species training. PrimateFace enables diverse downstream applications including individual recognition, gaze analysis, and automated extraction of stereotyped (e.g., lip-smacking) and subtle (e.g., soft left turn) facial movements. PrimateFace provides a standardized platform for facial phenotyping across the primate order, empowering data-driven studies that advance the health and well-being of human and non-human primates. All models, notebooks, and data can be found at github.com/KordingLab/PrimateFace.

animal behavior and cognition↗

bioRxiv2023

Information gathering explains decision dynamics during human and monkey reward foraging

Foraging in humans and other animals requires a delicate balance between exploitation of current resources and exploration for new ones. The tendency to overharvest--lingering too long in depleting patches--is a routine behavioral deviation from predictions of optimal foraging theories. To characterize the computational mechanisms driving these deviations, we modeled foraging behavior using a virtual patch-leaving task with human participants and validated our findings in an analogous foraging task in two monkeys. Both humans and monkeys overharvested and stayed longer in patches with longer travel times compared to shorter ones. Critically, patch residence times in both species declined over the course of sessions, enhancing reward rates in humans. These decisions were best explained by a logistic transformation that integrated both current rewards and information about declining rewards. This parsimonious model demystifies both the occurrence and dynamics of overharvesting, highlighting the role of information gathering in foraging. Our findings provide insight into computational mechanisms shaped by ubiquitous foraging dilemmas, underscoring how behavioral modeling can reveal underlying motivations of seemingly irrational decisions.

animal behavior and cognition↗

bioRxiv2023

Neural signatures of natural behavior in socializing macaques

Our understanding of the neurobiology of primate behavior largely derives from artificial tasks in highly-controlled laboratory settings, overlooking most natural behaviors primate brains evolved to produce1-3. In particular, how primates navigate the multidimensional social relationships that structure daily life4 and shape survival and reproductive success5 remains largely unexplored at the single neuron level. Here, we combine ethological analysis with new wireless recording technologies to uncover neural signatures of natural behavior in unrestrained, socially interacting pairs of rhesus macaques. Single neuron and population activity in prefrontal and temporal cortex unveiled robust encoding of 24 species-typical behaviors, which was strongly modulated by the presence and identity of surrounding monkeys. Male-female partners demonstrated near-perfect reciprocity in grooming, a key behavioral mechanism supporting friendships and alliances6, and neural activity maintained a running account of these social investments. When confronted with an aggressive intruder, behavioral and neural population responses reflected empathy and were buffered by the presence of a partner. By employing an ethological approach to the study of primate neurobiology, we reveal a highly-distributed neurophysiological ledger of social dynamics, a potential computational foundation supporting communal life in primate societies, including our own.

neuroscience↗

bioRxiv2020

Targeting mitochondrial respiration and the BCL2 family in MYC-associated B-cell lymphoma

Multiple molecular features, such as activation of specific oncogenes (e. g. MYC, BCL2) or a variety of gene expression signatures, have been associated with disease course in diffuse large B-cell lymphoma (DLBCL). Understanding the relationships between these features and their possible exploitation toward disease classification and therapy remains a major priority in the field. Here, we report that MYC activity in DLBCL is closely correlated with - and most likely a driver of - gene signatures related to Oxidative Phosphorylation (OxPhos). On this basis, we hypothesized that enzymes involved in Oxidative Phosphorylation, and in particular electron-transport chain (ETC) complexes, might constitute tractable therapeutic targets in MYC-associated lymphoma. Indeed, our data show that MYC sensitizes B-cells to IACS-010759, a selective inhibitor of ETC complex I. Mechanistically, IACS-010759 activates an ATF4-driven Integrated Stress Response (ISR), engaging the intrinsic apoptosis pathway through the transcription factor CHOP. In line with these findings, IACS-010759 shows synergy with the BCL2 inhibitor venetoclax against double-hit lymphoma (DHL), a high-grade form of DLBCL with concurrent activation of MYC and BCL2. Similarly, in BCL2-negative lymphoma cell lines, inhibition of the BCL2-related protein Mcl-1 potentiates killing by IACS-010759. Altogether, ETC complex I inhibition engages the ISR to lower the apoptotic threshold in MYC-driven lymphomas and, in combination with select BCL2-family inhibitors, provides a novel therapeutic principle against this aggressive DLBCL subset. Statement of significanceThis work points to OxPhos as a key MYC-activated process and a tractable therapeutic target toward personalized treatment of high-grade DLBCL, providing strong context-dependent cooperation with BH3-mimetic compounds.

cancer biology↗