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Pablo Barttfeld

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

3 papers
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3

YNIMG Journal 2026 Journal Article

Brain dynamic organization at the acute stage of severe brain injury

  • Gabriel Della Bella
  • Benjamine Sarton
  • Giulia Maria Mattia
  • Patrice Peran
  • Walter Lamberti
  • Pablo Barttfeld
  • Stein Silva

Acute Disorders of consciousness (DoC) poses significant clinical challenges, including early and accurate prognostication of neurological outcomes. Current assessment tools are limited in their predictive power, leaving many patients in a "gray zone" of uncertainty. While acute DoC are traditionally associated with structural brain damage, emerging evidence suggests that they are primarily driven by a withdrawal of excitatory synaptic activity across key cortical and subcortical regions, which can be captured through the dynamic analysis of resting-state brain activity. This study investigates the temporal dynamics of brain connectivity, shortly after severe brain injury (average of 13.9 days from onset), hypothesizing that acute DoC is marked by a global reorganization of functional connectivity and a shift toward less informative brain states, with distinct patterns emerging based on the underlying injury mechanism. Using functional magnetic resonance imaging (fMRI), we identify six distinct brain states across severely brain injured patients and healthy controls. These states, when sorted by decreasing entropy, span a continuum from state 1, characterized by high entropy, widespread positive long-distance coordination, and high global connectivity, predominantly observed in healthy controls, to state 6, which exhibits low entropy and minimal functional connectivity, and is predominantly associated with acute DoC. We demonstrate that the probability of occurrence of the more complex brain state correlates with improved neurological recovery at 3 months, as assessed by the Coma Recovery Scale-Revised (CRS-R). Hence, we were able to train a classifier based on brain state dynamics that achieved an accuracy of 78.5% in predicting patients' recovery potential (AUC = 0.864). Overall, our findings suggest that dynamic brain connectivity, particularly the entropy of brain states, can be a reliable early predictor of recovery from acute DoC, bridging the divide between theoretical advances and bedside medical decision-making.

YNIMG Journal 2026 Journal Article

The neurophenomenology of a self-induced transcendental visionary state: A case study

  • Gabriel Della Bella
  • Agustina Velez Picatto
  • Dante Sebastián Galván Rial
  • Sebastián Cukier
  • Gustavo Foa Torres
  • Magaly Catanzariti
  • Diego Mateos
  • Pedro Lamberti

Non-ordinary states of consciousness (NOC) offer a way to examine how large-scale brain dynamics reorganize as experience changes. We studied a participant able to reliably enter a self-induced NOC state characterized by vivid imagery, altered bodily perception, and a sense of unity. Across 20 fMRI sessions, we measured functional connectivity in four conditions (Baseline, Transition, NOC, and Residual) and compared the results with a matched control group. During the Transition phase, connectivity became more variable, indicating a temporary destabilization of network organization. In the NOC state, inter-network connectivity decreased broadly, with visual cortex showing reduced coupling to auditory, sensorimotor, orbitofrontal, thalamic, and cerebellar regions, and the somatomotor-dorsal network disengaging from auditory and language cortices, paralleling the reported visual phenomena and changes in bodily experience. In contrast, frontoparietal and salience networks showed increased coupling with precuneus/posterior cingulate, multimodal temporal cortex, and cerebellar hubs, in agreement with subjective reports of sustained inward-directed attention and stable absorption. Entropy and complexity analyses revealed systematic shifts that tracked the experiential sequence and returned to baseline in the Residual condition. This single-case study brings together something uncommon: controlled experimentation, voluntary induction of NOC states, and rich phenomenological data. Taken together, these elements offer a strong foundation for neurophenomenological research and illustrate why pairing structured paradigms with lived experience is useful for understanding non-ordinary states of consciousness.

YNICL Journal 2015 Journal Article

Factoring the brain signatures of anesthesia concentration and level of arousal across individuals

  • Pablo Barttfeld
  • Tristan A. Bekinschtein
  • Alejo Salles
  • Emmanuel A. Stamatakis
  • Ram Adapa
  • David K. Menon
  • Mariano Sigman

Combining resting-state functional magnetic resonance imaging (fMRI) connectivity and behavioral analysis during sedation, we factored out general effects of the anesthetic drug propofol and a specific index of conscious report, participants' level of responsiveness. The factorial analysis shows that increasing concentration of propofol in blood specifically decreases the connectivity strength of fronto-parietal cortical loops. In contrast, loss of responsiveness is indexed by a functional disconnection between the thalamus and the frontal cortex, balanced by an increase in connectivity strength of the thalamus to the occipital and temporal regions of the cortex.

v2026.09.13