Matthew A. Howard

The paper identifies brain-peripheral DNA methylation sites (BrESS) that consistently predict brain methylation across tissues, showing they are not linked to disease heritability.

This study shows that TMS to the dlPFC modulates single-neuron activity in humans, with facilitation of inhibitory firing and suppression of excitatory drive in specific brain networks.

This study uses TMS combined with iEEG and fMRI to show that parietal TMS guided by hippocampal connectivity engages and modulates hippocampal activity, with effects related to individual FC strength and theta oscillations.

This study shows that a single exercise session increases hippocampal ripples and enhances their coupling with cortical networks in humans.

The paper uses human intracranial recordings to study neural activity during an auditory working memory task, finding attractor-like states in brain regions associated with memory maintenance and adjustment.

This paper develops a transformer model to decode specific memories from human neuronal activity before and after sleep, finding differential contributions from brain regions.

This study uses multi-omic analysis of brain tissue from POD patients to show glial cell contributions to pathogenesis, identifying epigenetic and transcriptomic changes in microglia and astrocytes.

The paper reports single neuron responses in the human insula to simple sounds during passive listening, showing frequency tuning and shorter response durations compared to auditory cortex.

This study identifies the gene expression changes in the human brain following electrical stimulation, revealing non-neuronal cell involvement and a conserved gene signature.

This study investigates how TMS affects neural rhythms in different brain regions using intracranial recordings, finding both low-frequency increases and high-frequency decreases in response to stimulation.

This study records multi-unit pitch responses from human auditory cortex and finds they are distributed across Heschl's gyrus, not localized to a specific region.

This study uses iEEG to show how reward and risk computations are temporally organized in the human brain, revealing cascading and parallel encoding patterns.

This study identifies DNA methylation changes associated with post-operative delirium in neurosurgery patients using genome-wide analysis of blood samples.

This study examines the neural impact of disconnecting a semantic hub in the human brain and finds specific network changes and partial compensation.

This study uses intracranial electrocorticography to evaluate the effects of transcranial magnetic stimulation in humans, showing localized and network-level brain responses.

The paper identifies common effective connectivity patterns between auditory cortex and fronto-temporal regions in humans and monkeys using functional imaging and electrical stimulation.

This paper evaluates the safety of focal cortical cooling as an alternative to electrical cortical stimulation for intraoperative functional brain mapping, finding no intraoperative seizures and comparable post-operative outcomes.

This study investigates oscillatory activity in human brain regions during auditory working memory using electrocorticography, finding sustained low-frequency increases in medial temporal lobe regions.

This study investigates the role of frontal and auditory cortices in vocal motor control using direct electrical stimulation in patients, showing distinct contributions of these regions to vocal initiation and feedback-dependent control.

The paper presents a human es-fMRI resource with data from 26 patients undergoing deep-brain stimulation and whole-brain functional MRI, providing raw and preprocessed data for analysis.

The paper investigates alpha oscillations in human non-primary auditory cortex using electrode recordings from epilepsy patients, finding that alpha activity is suppressed during speech processing in a specific region.

This study uses intracranial electrophysiology to investigate auditory novelty processing in humans, showing distinct spatiotemporal patterns of cortical activation across time scales.

The paper introduces a framework combining es-fMRI and causal discovery to map emotion networks in the human brain and presents preliminary findings from resting-state datasets and case studies.

This study identifies brain activity patterns in the fusiform gyrus and superior temporal sulcus that distinguish seen from unseen faces and upright from inverted faces using ECoG data.

The paper examines functional connectivity of surgically disconnected temporal pole using resting-state fMRI and finds significant connectivity with remote regions despite anatomical disconnection.

The paper tests if integrated information theory applies to conscious experience by analyzing brain recordings and finding that integrated information structures classify visual experiences more accurately than other measures.