Boon Lead Tee1,2, Maria Luisa Gorno-Tempini3,4,1. 1. Global Brain Health Institute. 2. Department of Neurology, Buddhist Tzu Chi General Hospital, Hualien, Taiwan. 3. Department of Neurology, Memory and Aging Center. 4. Dyslexia Center, University of California at San Francisco, San Francisco, California, USA.
Abstract
PURPOSE OF REVIEW: Knowledge on primary progressive aphasia (PPA) has expanded rapidly in the past few decades. Clinical characteristics, neuroimaging correlates, and neuropathological features of PPA are better delineated. This facilitates scientific studies on the disease pathophysiology and allows speech and language therapy to be more precisely targeted. This review article begins with a summary of the current understanding of PPA and discusses how PPA can serve as a model to promote scientific discovery in neurodegenerative diseases. RECENT FINDINGS: Studies on the different variants of PPA have demonstrated the high compatibility between clinical presentations and neuroimaging features, and in turn, enhances the understanding of speech and language neuroanatomy. In addition to the traditional approach of lesion-based or voxel-based mapping, scientists have also adopted functional connectivity and network topology approaches that permits a more multidimensional understanding of neuroanatomy. As a result, pharmacological and cognitive therapeutic strategies can now be better targeted towards specific pathological/molecular and cognitive subtypes. SUMMARY: Recent scientific advancement in PPA potentiates it to be an optimal model for studying brain network vulnerability, neurodevelopment influences and the effects of nonpharmacological intervention in neurodegenerative diseases.
PURPOSE OF REVIEW: Knowledge on primary progressive aphasia (PPA) has expanded rapidly in the past few decades. Clinical characteristics, neuroimaging correlates, and neuropathological features of PPA are better delineated. This facilitates scientific studies on the disease pathophysiology and allows speech and language therapy to be more precisely targeted. This review article begins with a summary of the current understanding of PPA and discusses how PPA can serve as a model to promote scientific discovery in neurodegenerative diseases. RECENT FINDINGS: Studies on the different variants of PPA have demonstrated the high compatibility between clinical presentations and neuroimaging features, and in turn, enhances the understanding of speech and language neuroanatomy. In addition to the traditional approach of lesion-based or voxel-based mapping, scientists have also adopted functional connectivity and network topology approaches that permits a more multidimensional understanding of neuroanatomy. As a result, pharmacological and cognitive therapeutic strategies can now be better targeted towards specific pathological/molecular and cognitive subtypes. SUMMARY: Recent scientific advancement in PPA potentiates it to be an optimal model for studying brain network vulnerability, neurodevelopment influences and the effects of nonpharmacological intervention in neurodegenerative diseases.
Authors: Keith A Josephs; Joseph R Duffy; Edythe A Strand; Mary M Machulda; Prashanthi Vemuri; Matthew L Senjem; Ralph B Perkerson; Matthew C Baker; Val Lowe; Clifford R Jack; Rosa Rademakers; Jennifer L Whitwell Journal: J Neurol Date: 2014-01-22 Impact factor: 4.849
Authors: Christa L Watson; Katherine Possin; I Elaine Allen; H Isabel Hubbard; Marita Meyer; Ariane E Welch; Gil D Rabinovici; Howard Rosen; Katherine P Rankin; Zachary Miller; Miguel A Santos-Santos; Joel H Kramer; Bruce L Miller; Maria Luisa Gorno-Tempini Journal: J Int Neuropsychol Soc Date: 2017-10-17 Impact factor: 2.892
Authors: Maria Luisa Gorno-Tempini; Katherine Pollock Rankin; Joshua David Woolley; Howard Joseph Rosen; La Phengrasamy; Bruce Lars Miller Journal: Cortex Date: 2004 Sep-Dec Impact factor: 4.027
Authors: Jennifer L Whitwell; David T Jones; Joseph R Duffy; Edythe A Strand; Mary M Machulda; Scott A Przybelski; Prashanthi Vemuri; Brian E Gregg; Jeffrey L Gunter; Matthew L Senjem; Ronald C Petersen; Clifford R Jack; Keith A Josephs Journal: Neurobiol Aging Date: 2014-12-16 Impact factor: 4.673
Authors: Maria Luisa Mandelli; Eduardo Caverzasi; Richard J Binney; Maya L Henry; Iryna Lobach; Nikolas Block; Bagrat Amirbekian; Nina Dronkers; Bruce L Miller; Roland G Henry; Maria Luisa Gorno-Tempini Journal: J Neurosci Date: 2014-07-16 Impact factor: 6.167
Authors: M L Gorno-Tempini; S M Brambati; V Ginex; J Ogar; N F Dronkers; A Marcone; D Perani; V Garibotto; S F Cappa; B L Miller Journal: Neurology Date: 2008-07-16 Impact factor: 9.910
Authors: Maria Luisa Mandelli; Ariane E Welch; Eduard Vilaplana; Christa Watson; Giovanni Battistella; Jesse A Brown; Katherine L Possin; Honey I Hubbard; Zachary A Miller; Maya L Henry; Gabe A Marx; Miguel A Santos-Santos; Lynn P Bajorek; Juan Fortea; Adam Boxer; Gil Rabinovici; Suzee Lee; Jessica Deleon; Howard J Rosen; Bruce L Miller; William W Seeley; Maria Luisa Gorno-Tempini Journal: Cortex Date: 2018-08-11 Impact factor: 4.027
Authors: Sladjana Lukic; Abigail E Licata; Elizabeth Weis; Rian Bogley; Buddhika Ratnasiri; Ariane E Welch; Leighton B N Hinkley; Z Miller; Adolfo M Garcia; John F Houde; Srikantan S Nagarajan; Maria Luisa Gorno-Tempini; Valentina Borghesani Journal: Front Psychol Date: 2022-06-24
Authors: Talita Gallas Dos Reis; Thais Helena Machado; Paulo Caramelli; Francisco Scornavacca; Liana Lisboa Fernandez; Bárbara Costa Beber Journal: Front Neurol Date: 2022-02-28 Impact factor: 4.003
Authors: Talita Gallas Dos Reis; Thais Helena Machado; Paulo Caramelli; Francisco Scornavacca; Liana Lisboa Fernandez; Bárbara Costa Beber Journal: Front Neurol Date: 2021-06-11 Impact factor: 4.003
Authors: Marianna Riello; Constantine E Frangakis; Bronte Ficek; Kimberly T Webster; John E Desmond; Andreia V Faria; Argye E Hillis; Kyrana Tsapkini Journal: Brain Sci Date: 2021-12-21