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Related Concept Videos

Ischemic Stroke l: Introduction01:15

Ischemic Stroke l: Introduction

Ischemic stroke is an acute cerebrovascular condition in which blood flow to a brain region is suddenly interrupted, leading to tissue infarction. Neurons depend on continuous oxygen and glucose supply, so even brief reductions in perfusion cause energy failure, ionic imbalance, and irreversible injury. Ischemic strokes are classified into thrombotic and embolic types based on their underlying mechanisms.Thrombotic MechanismsThrombotic stroke develops when a clot forms within a cerebral artery.
Ischemic Stroke ll: Pathophysiology01:15

Ischemic Stroke ll: Pathophysiology

An ischemic stroke occurs when a cerebral blood vessel becomes obstructed, most often by a thrombus or embolus, interrupting the delivery of oxygen and glucose to brain tissue. Because neurons rely on continuous aerobic metabolism, energy failure begins within minutes of reduced perfusion. The region receiving the least blood flow becomes the infarct core, an area of irreversible cellular death. Surrounding this core lies the penumbra, a zone of hypoperfused but still viable tissue that is...
Hemorrhagic Stroke l: Introduction01:17

Hemorrhagic Stroke l: Introduction

A hemorrhagic stroke is an acute neurological event that occurs when a weakened cerebral blood vessel ruptures, allowing blood to accumulate within or around the brain. The sudden release of blood forms a focal hematoma that increases intracranial pressure, displaces neural tissue, and can obstruct cerebrospinal fluid pathways. These effects may be compounded by intraventricular extension of the hemorrhage, cerebral edema, or compression of adjacent structures, all of which contribute to...
Hemorrhagic Stroke ll: Pathophysiology01:29

Hemorrhagic Stroke ll: Pathophysiology

A hemorrhagic stroke develops when a cerebral blood vessel ruptures, allowing blood to escape into the surrounding brain tissue, as in intracerebral hemorrhage (ICH), or into the subarachnoid space, as in subarachnoid hemorrhage (SAH). Because the skull is a rigid compartment, the sudden presence of extravascular blood rapidly increases intracranial pressure and compresses adjacent neural structures, leading to immediate tissue injury and impaired cerebral perfusion.Mass Effect and Primary...
Transient Ischemic Attack l: Introduction01:26

Transient Ischemic Attack l: Introduction

A transient ischemic attack (TIA) is a brief episode of neurological dysfunction caused by a temporary, focal reduction in cerebral blood flow. Although symptoms resemble those of an ischemic stroke, the interruption in perfusion is short-lived and does not cause permanent infarction. TIAs are clinically important because they often serve as early warning events for future stroke.Mechanisms of Transient Cerebral IschemiaTransient cerebral ischemia may arise through several mechanisms. One...

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Subtle language deficits in WAB-recovered patients at 12 months after left-hemisphere stroke.

medRxiv : the preprint server for health sciences·2026
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Narrative Discourse Predictors of Response to Naming Intervention in Aphasia.

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Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery.

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Characterizing Verb Argument Structure in Aphasia Using Dependency Parsers.

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Transcranial Alternating Current Stimulation as an Adjuvant for Nonfluent Aphasia: A Proof-of-Concept Study.

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Related Experiment Video

Updated: Jun 2, 2026

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
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The Aphasia Recovery Cohort, an open-source chronic stroke repository.

Makayla Gibson1, Roger Newman-Norlund1, Leonardo Bonilha2

  • 1Department of Psychology, University of South Carolina, Columbia, SC, USA.

Scientific Data
|September 9, 2024
PubMed
Summary

This study shares neuroimaging data from 230 chronic stroke survivors with aphasia, enabling new research into stroke recovery and brain health. The dataset includes imaging, demographics, and behavioral measures to advance machine learning applications.

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Area of Science:

  • Neuroimaging
  • Stroke Research
  • Data Science

Background:

  • Neuroimaging data sharing is crucial for scientific advancement but is limited in stroke studies.
  • Stroke is a major cause of disability, yet longitudinal imaging and behavioral data are scarce.
  • Existing datasets lack the comprehensive data needed for novel applications in stroke research.

Purpose of the Study:

  • To release the first comprehensive dataset from the Aphasia Recovery Cohort.
  • To provide imaging, demographic, and behavioral data from 230 chronic stroke survivors with aphasia.
  • To facilitate the development of machine learning tools for stroke research.

Main Methods:

  • Collected and curated neuroimaging data (functional and diffusion imaging).
  • Gathered demographic and behavioral measures from participants.
  • Developed and shared scripts for data analysis and prediction.

Main Results:

  • The Aphasia Recovery Cohort dataset is now publicly available.
  • The dataset includes 230 chronic stroke survivors with aphasia.
  • Included scripts demonstrate the predictive power of imaging data for impairment.

Conclusions:

  • Large, diverse datasets are essential for machine learning advancements.
  • Clinical data sharing, like this cohort, can improve stroke diagnosis and prognosis.
  • This resource will aid in automated brain injury detection, white matter hyperintensity identification, and brain health assessment.