Semantic memory underpins our understanding of objects, people, places, and ideas.Anomia, a disruption semantic access, is the most common residual language disturbance seen in dementia following injury to temporal cortex.While such anomia has been well characterized by lesion symptom mapping studies, its pathophysiology not understood.We hypothesize that inputs system engage specific heteromodal network hub integrates lexical retrieval with appropriate content.Such proposed others, but thus...

Abstract Spoken language, both perception and production, is thought to be facilitated by an ensemble of predictive mechanisms. We obtain intracranial recordings in 37 patients using depth probes implanted along the anteroposterior extent supratemporal plane during rhythm listening, speech perception, production. These reveal two mechanisms early auditory cortex with distinct anatomical functional characteristics. The first, localized bilateral Heschl’s gyri indexed low-frequency phase,...

The contribution of insular cortex to speech production remains unclear and controversial given diverse findings from functional neuroimaging lesional data. To create a precise spatiotemporal map activity, we performed series experiments: single-word articulations varying complexity, non-speech orofacial movements listening, in cohort 27 patients implanted with penetrating intracranial electrodes. posterior insula was robustly active bilaterally, but after the onset articulation, during...

Abstract Objective Lexical retrieval deficits are characteristic of a variety different neurological disorders. However, the exact substrates responsible for this not known. We studied large cohort patients undergoing surgery in dominant temporal lobe medically intractable epilepsy ( n = 95) to localize brain regions that were associated with anomia. Methods performed multivariate voxel‐based lesion–symptom mapping analysis correlate surgical lesions within changes naming ability....

Language depends critically on the integration of lexical information across multiple words to derive semantic concepts. Limitations spatiotemporal resolution have previously rendered it difficult isolate processes involved in integration. We utilized intracranial recordings epilepsy patients (n = 58) who read written word definitions. Descriptions were either referential or non-referential a common object. Semantically sentences enabled high frequency broadband gamma activation (70-150 Hz)...

Skull base neurosurgery requires a trainee to develop an intimate familiarity with three-dimensional anatomy of the target region as well approach corridor. This begins careful study two-dimensional representations including stylized drawings, exemplar dissections, and intraoperative videos. The transition from two- understanding this is challenging, often accomplished through painstaking cadaveric practice.

INTRODUCTION: Premature fusion of cranial sutures inhibits skull growth perpendicular to the affected suture, resulting in and base deformities with morphologic functional consequence. Surgical intervention for craniosynostosis simultaneously corrects bony deformity expands intracranial volume improve cosmetic development reduce pressure. This is accomplished fronto-orbital advancement metopic (30%) unilateral coronal (10%) synostoses. Essential intraoperative feedback on vault remodeling...

INTRODUCTION: Theoretical models suggest that spoken and written language engage a shared lexicosemantic processing network in perception production, yet convergent neural mechanisms are unclear. METHODS: 65 ECoG patients completed auditory (AN) orthographic (ON) naming. We analyzed gamma activity (70-115Hz) with mixed-effects multilevel analyses to identify the during comprehension mapped dynamics using autoregressive hidden Markov (ARHMM). used direct cortical stimulation (DCS) attribute...

Invasive intracranial EEG (icEEG) offers a unique opportunity to study human cognitive networks at an unmatched spatiotemporal resolution. To date, the contributions of icEEG have been limited individual-level analyses or cohorts whose data are not integrated in any way. Here we discuss how grouped approaches overcome challenges related sparse-sampling, correct for individual variations response and provide statistically valid models brain activity population. By generation whole-brain maps,...

Visual inputs to early visual cortex integrate with semantic, linguistic and memory in higher cortex, a manner that is rapid accurate, enables complex computations such as face recognition word reading. This implies the existence of fundamental organizational principles enable efficiency. To elaborate on this, we performed intracranial recordings 82 individuals while they tasks varying cognitive complexity. We discovered induce highly organized posterior-to-anterior propagating patterns...

MR-guided laser interstitial thermal therapy (LITT) is used increasingly for refractory epilepsy. The goal of this investigation to directly compare cost and short-term adverse outcomes adult epilepsy treated with temporal lobectomy LITT, as well identify risk factors increased costs outcomes.The National Inpatient Sample (NIS) was queried patients who received LITT between 2012 2019. Patients were identified. Multivariable mixed-effects models analyze predictors cost, length stay (LOS),...

Brain computations involve multiple processes by which sensory information is encoded and transformed to drive behavior. These are thought be mediated dynamic interactions between populations of neurons. Here, we demonstrate that human brains exhibit a reliable sequence neural during speech production. We use an autoregressive Hidden Markov Model (ARHMM) identify dynamical network states exhibited electrocorticographic signals recorded from neurosurgical patients. Our method resolves latent...

Abstract Reading is a rapid, distributed process that engages multiple components of the ventral visual stream. However, neural constituents and their interactions allow us to identify written words are not well understood. Using direct intracranial recordings in large cohort humans, we comprehensively isolated spatiotemporal dynamics word recognition across entire left occipitotemporal cortex. The mid-fusiform cortex first region sensitive identity both sub-lexical lexical frequencies. Its...

A bstract Language is a defining human behavior and dependent on networks interactions amongst broadly distributed neuronal substrates. Transient dynamics between language regions that underpin speech production have long been postulated, yet proven challenging to evaluate empirically. We used direct intracranial recordings during single word create finely resolved spatiotemporal atlas (134 patients, 25810 electrodes, 40278 words) of the entire language-dominant cortex this derive...

Essential tremor DBS targeting the ventral intermediate nucleus (Vim) of thalamus and its input, dentato-rubro-thalamic tract (DRTt), has proven to be an effective treatment strategy. We examined thalamo-cortical evoked potentials (TCEPs) cortical dynamics during stimulation DRTt. recorded TCEPs in primary motor cortex clinical supra-clinical DRTt ten essential patients. Stimulation was varied over pulse amplitude (2–10 ​mA) width (30–250 ​μs) allow for strength-duration testing. Testing at...

Abstract Speech production is known to engage a distributed network. The brain regions responsible for the initiation of articulation are unclear, and they would be expected coordinate Using direct intracranial recordings in large cohort, during stereotyped speech eliminate confounds phonological semantic complexity, we performed comprehensive analysis cortical sites engaged initiation. We found that supplementary motor area (SMA) was earliest region active prior onset almost exclusively...

Lewis, Courtney S. BS; Stone, Lauren E. MD; Forseth, Kiefer J. MD PhD; Pham, Martin H. Author Information

Abstract For most people, recalling information about familiar items in a visual scene is an effortless task, but it one that depends on coordinated interactions of multiple, distributed neural components. We leveraged the high spatiotemporal resolution direct intracranial recordings to better delineate network dynamics underpinning recognition. present dataset from large cohort humans while they identified images famous landmarks (50 individuals, 52 recording sessions, 6,775 electrodes,...

INTRODUCTION: Speech requires the selection of a conceptual representation, construction word form, and execution complex articulatory plan. Investigating this global system high-resolution recordings with an analytic approach to resolve discrete cognitive states. We integrated autoregressive hidden Markov models trial-by-trial state transition sequences in distributed networks derived from large-scale electrocorticographic dataset complete coverage language-dominant cortex. METHODS:...

Canonical language models describe eloquent function as the product of a series cognitive processes, typically characterized by independent activation profiles focal brain regions. In contrast, more recent work has suggested that interactions between these regions, cortical networks language, are critical for understanding speech production. We investigated basis picture naming (PN) with human intracranial electrocorticography (ECoG) recordings and direct stimulation (DCS), adjudicating two...