The DOI matches its Crossref record, with a small difference in title or year; 107 of the 107 references it cites were found in a registry or an index.
Functional Connectivity in Neurodegenerative Disorders: Alzheimer's Disease and Frontotemporal Dementia
Abstract
Neurodegenerative disorders are a growing cause of morbidity and mortality worldwide. Onset is typically insidious and clinical symptoms of behavioral change, memory loss, or cognitive dysfunction may not be evident early in the disease process. Efforts have been made to discover biomarkers that allow for earlier diagnosis of neurodegenerative disorders, to initiate treatment that may slow the course of clinical deterioration. Neuronal dysfunction occurs earlier than clinical symptoms manifest. Thus, assessment of neuronal function using functional brain imaging has been examined as a potential biomarker. While most early studies used task-functional magnetic resonance imaging (fMRI), with the more recent technique of resting-state fMRI, "intrinsic" relationships between brain regions or brain networks have been studied in greater detail in neurodegenerative disorders. In Alzheimer's disease, the most common neurodegenerative disorder, and frontotemporal dementia, another of the common dementias, specific brain networks may be particularly susceptible to dysfunction. In this review, we highlight the major findings of functional connectivity assessed by resting state fMRI in Alzheimer's disease and frontotemporal dementia.
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Previous research has demonstrated the usefulness of functional and structural connectivity in identifying neurodegenerative disorders and FTD variants.
“Previous research has demonstrated its usefulness in identifying neurodegenerative disorders (Hafkemeijer et al., 2017; Hohenfeld et al., 2018; Jalilianhasanpour et al., 2019) and FTD variants (Chen et al., 2020; Reyes et al., 2018; Whitwell, 2019).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Jalilianhasanpour et al., 2019
Subjects with bvFTD showed reduced connectivity in prefrontal, insular, and temporal regions in functional and structural networks, and reduction in global network degree and efficiency.
“The subjects with bvFTD showed reduced connectivity in the prefrontal, insular, and temporal regions in terms of the functional (Agosta et al., 2013; Jalilianhasanpour et al., 2019; Seeley et al., 2009; Whitwell, 2019) and structural (Dopper et al., 2014; Mahoney et al., 2015; Tovar-Moll et al., 2014; Whitwell, 2019) networks”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Jalilianhasanpour et al., 2019
These findings may reflect compensatory mechanisms as a result of disconnection of critical brain regions specific to each pathology.
“These findings may reflect compensatory mechanisms as a result of the disconnection of critical brain regions specific to each pathology (Jalilianhasanpour et al., 2019; Saba et al., 2019).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Jalilianhasanpour et al., 2019
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Flagged first, then by citations
Research works printed but not linked: 1
- Wang, 2013, Cerebrospinal fluid Aβ42, phosphorylated Tau181, and resting-state functional connectivity, JAMA Neurol, 70, 1242
Cited by
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Dementia ConnEEGtome: towards multicentric harmonization of EEG connectivity in neurodegeneration
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Metadata
- Authors
- Jalilianhasanpour, R., Beheshtian, E., Sherbaf, G., Sahraian, S., & Sair, H. I.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Sair, Haris I.
- Venue
- Topics in Magnetic Resonance Imaging
- Published
- 2019-12
- Volume
- 28
- Issue
- 6
- Pages
- 317-324
- ISSN
- 0899-3459 (ISSN-L)
- OpenAlex
- W2992760601
- Cited by
- 57
- References
- 107
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 11 · 2023: 7 · 2022: 12 · 2021: 11 · 2020: 2
- FWCI
- 0.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Topics in Magnetic Resonance Imaging (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- functional connectivity, resting-state fMRI, neurodegenerative diseases, Alzheimer's disease, frontotemporal dementia, biomarkers, early diagnosis, brain networks, functional MRI
- MeSH terms
- Aged, Alzheimer Disease, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Biomarkers, Neurodegenerative Diseases, Frontotemporal Dementia
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