News & Events

Advocacy Update: AFTD Board Members and CEO Help BEYONDD Study Secure Partnership of New York State Sen. Cordell Cleare

AFTD CEO Susan L-J Dickinson and Board members Donald E. Newhouse and Kathy Newhouse Mele helped to secure the partnership of New York State Senator Cordell Cleare for a study…

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Dr. Murray Grossman, 1952-2023

Murray Grossman, MDCM, EdD, an internationally recognized leader in FTD science and a founding member of AFTD’s Medical Advisory Council (MAC), died on April 4, the Penn Memory Center announced…

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AFTD Volunteers Share FTD Insights with Being Patient Live Talk

AFTD volunteer Katie Brandt and AFTD Medical Advisory Council chair Brad Dickerson, MD, were featured in a recent edition of Being Patient Live Talk. Brandt and Dr. Dickerson spoke with…

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Study Examines the Care Partner’s Perspective on bvFTD Symptoms

A study published in the medical journal Psychogeriatrics examines the perspective of care partners on symptoms of behavioral variant frontotemporal degeneration (bvFTD). One of bvFTD’s most common symptoms is anosognosia,…

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Study Identifies Plasma Biomarkers That Can Discriminate Forms of FTD Caused by TDP-43 and Tau

A recent study by a team of researchers at the University of Pennsylvania has identified biomarkers that can be used to discriminate between forms of FTD caused by the abnormal…

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Help & Support: Guidance for Advance Care Planning

Completing advance care planning documents such as living wills, healthcare advance directives, or healthcare power of attorney is a task many tend to put off. Discussions around advance care planning…

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Condition with bvFTD-Like Symptoms Can Be Treated with Surgery, Study Says

According to a recent study published in Alzheimer’s & Dementia: Translational Research & Clinical Interventions, a condition with symptoms identical to those of behavioral variant frontotemporal degeneration (bvFTD) can be…

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Machine-Learning Algorithms Can Recognize Rare Dementias Such as FTD, Study Finds

A study published in the Neuroimage: Clinical medical journal found that machine-learning algorithms are capable of recognizing patterns of atrophy associated with rarer neurodegenerative diseases such as FTD. Conducted by…

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