Your browser doesn't support javascript.
loading
Impaired long-range excitatory time scale predicts abnormal neural oscillations and cognitive deficits in Alzheimer's disease.
Verma, Parul; Ranasinghe, Kamalini; Prasad, Janani; Cai, Chang; Xie, Xihe; Lerner, Hannah; Mizuiri, Danielle; Miller, Bruce; Rankin, Katherine; Vossel, Keith; Cheung, Steven W; Nagarajan, Srikantan S; Raj, Ashish.
Afiliación
  • Verma P; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA. parulv.iitb@gmail.com.
  • Ranasinghe K; Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
  • Prasad J; Amador Valley High School, Pleasanton, CA, USA.
  • Cai C; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
  • Xie X; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
  • Lerner H; Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
  • Mizuiri D; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
  • Miller B; Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
  • Rankin K; Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
  • Vossel K; Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
  • Cheung SW; Mary S. Easton Center for Alzheimer's Research and Care, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
  • Nagarajan SS; Department of Otolaryngology-Head and Neck Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Raj A; Surgical Services, Veterans Affairs, San Francisco, USA.
Alzheimers Res Ther ; 16(1): 62, 2024 03 19.
Article en En | MEDLINE | ID: mdl-38504361
ABSTRACT

BACKGROUND:

Alzheimer's disease (AD) is the most common form of dementia, progressively impairing cognitive abilities. While neuroimaging studies have revealed functional abnormalities in AD, how these relate to aberrant neuronal circuit mechanisms remains unclear. Using magnetoencephalography imaging we documented abnormal local neural synchrony patterns in patients with AD. To identify global abnormal biophysical mechanisms underlying the spatial and spectral electrophysiological patterns in AD, we estimated the parameters of a biophysical spectral graph model (SGM).

METHODS:

SGM is an analytic neural mass model that describes how long-range fiber projections in the brain mediate the excitatory and inhibitory activity of local neuronal subpopulations. Unlike other coupled neuronal mass models, the SGM is linear, available in closed-form, and parameterized by a small set of biophysical interpretable global parameters. This facilitates their rapid and unambiguous inference which we performed here on a well-characterized clinical population of patients with AD (N = 88, age = 62.73 +/- 8.64 years) and a cohort of age-matched controls (N = 88, age = 65.07 +/- 9.92 years).

RESULTS:

Patients with AD showed significantly elevated long-range excitatory neuronal time scales, local excitatory neuronal time scales and local inhibitory neural synaptic strength. The long-range excitatory time scale had a larger effect size, compared to local excitatory time scale and inhibitory synaptic strength and contributed highest for the accurate classification of patients with AD from controls. Furthermore, increased long-range time scale was associated with greater deficits in global cognition.

CONCLUSIONS:

These results demonstrate that long-range excitatory time scale of neuronal activity, despite being a global measure, is a key determinant in the local spectral signatures and cognition in the human brain, and how it might be a parsimonious factor underlying altered neuronal activity in AD. Our findings provide new insights into mechanistic links between abnormal local spectral signatures and global connectivity measures in AD.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastornos del Conocimiento / Enfermedad de Alzheimer / Disfunción Cognitiva Límite: Aged / Humans / Middle aged Idioma: En Revista: Alzheimers Res Ther Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastornos del Conocimiento / Enfermedad de Alzheimer / Disfunción Cognitiva Límite: Aged / Humans / Middle aged Idioma: En Revista: Alzheimers Res Ther Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido